Roddie`s Thesis - University of Stirling
Transcription
Roddie`s Thesis - University of Stirling
Factors affecting the abundance and distribution of estuarine zooplankton, with special reference to the copepod Eurytemora affinis (Poppe) Thesis submitted for the degree of PhD Brian D. Roddie September 1988 .' . " IMAGING SERVICES NORTH Boston Spa, Wetherby West Yorkshire, LS23 7BQ www.bl.uk BEST COpy AVAILABLE. VARIABLE PRINT QUALITY IMAGING SERVICES NORTH Boston Spa, Wetherby West Yorkshire, lS23 7BQ www.bJ.uk BEST COpy AVAILABLE. TEXT IN ORIGINAL IS CLOSE TO THE EDGE OF THE PAGE IMAGING SERVICES NORTH Boston Spa, Wetherby West Yorkshire, LS23 7BQ www.bl.uk TEXT CUT OFF IN THE ORIGINAL IMAGING SERVICES NORTH Boston Spa, Wetherby West Yorkshire, LS23 7BQ . www.bl.uk PAGE NUMBERING AS ORIGINAL Abstract Factors affecting the abundance and distribution estuarine zooplankton and laboratory were investigated of littoral by means of both field studies. In the field, a 12-month survey was conducted at 6 stations spanning a wide salinity range in the Forth estuary, to investigate the influence of geographical, physical environmental seasonal, tidal and variables on community structure. Pump samples, in two net fractions (69 urn and 250 um) were collected on spring and neap tides, at high and low water over 9 complete or partial lunar cycles. The use of two concentric nets of differing mesh size extended the size range of specimens caught, and permitted the observation and enumeration of small plankters such as rotifers, cope pod nauplii and early polychaete larvae. In early 1982, a clear temporal succession of rotifers> freshwater crustacea> Eurytemora was observed. The data acquired on field distribution Haranzelleria larvae> and abundance were analysed in a variety of ways. The most effective approach was found to be a combination of polythetic, divisive classfication sepcies data, followed by Multiple Discriminant the classification using geographical, data as the discriminating seasonal, (Twinspan) of Analysis (MDA) of tidal and environmental variables. The effects of geographical, seasonal and tidal variation were removed by analysing subsets of the data restricted to one state of a variable at a time; comparison of these restricted analyses with those performed on larger data sets revealed, however, that the relative influence of variables on community structure could be readily discerned even when all variables were considered position of station together. Salinity and geographical were clearly the dominant factors in explaining the species associations suspended particulate defined by classification analysis; organic material was closely associated with these, and temperature also but to a lesser degree. The influences of season and primary production were linked, and were orthogonal to the influence of the dominant variables. Classi~ication analysis identified three main assemblages: water community; a low-salinity group comprising Eurytemora the freshaffinis and Neomysis integer; A neritic assemblage dominated by Acartia spp., Pseudocalanus meroplanktonic and Oithona but also including Temora, Centropages larvae. Pseudocalanus and and Oithona were more persistent than the other neritic taxa, and were more often found in samples of lower salinity and in the autumn and winter. Predation and development rate are two biological directly influence the abundance and distribution In the laboratory, of individual taxa. studies were conducted a) on the rate of predation of Neomysis on Eurytemora availability factors which and b) the effects of temperature on the development and food rate of Eurytemora. Predation rates of adult mysids on adult Eurytemora were estimated to range up to 170 prey/day at 500 prey/litre, and the functional response was adequately modelled by a Type II curve. It was experimentally , demonstrated that predation rates were not reduced in the dark or in the presence of detritus, and it is inferred from this that Neomysis relies on random foraging rather than on visual predation. Estimated predation rates were sufficiently high to suggest that Neomysis predation may, at some times of the year, have a significant effect on Eurytemora population size. Development rates in Eurytemora were not affected by food level, but were qu~ntitatively related to temperature. Development was approximately isochronal, but the duration of the second naupliar ins tar was consistently longer than that of other instars, especially at lower temperatures. Total estimated development times ranged from 39 days at 8 deg.C to 15.25 days at 20 deg.C, with the effect of temperature beini more marked at low temperatures than at high temperatures. The results of the development study were applied to field observations of instar body lengths, in order to estimate daily length increment for 9 dates in 1982. Field observations had indicated that, in contrast to many other studies, body size did not bear a simple inverse relationship to water temperature; whilst the smallest animals were observed during the spring bloom .and midsummer, the largest specimens were collected in September when water temperatures were still high. Highest growth rates were estimated for August (small animals) and September (large animals) ; winter animals, although similar in size to September specimens, had low estimated growth rates. The large size of specimens encountered in September suggests, when considered in conjunction with the low abundance at that time, that a switch may have occurred from investment in reproduction somatic growth. to an investment in GLOSSARY OF ABBREVIATED TERMS USED IN TEXT Authority Taxon % occurrence Identifier (Poppe) Eurytemora affinis Adult copepodite Nauplii 81.1 89.4 85.0 EAFF ADUL EAFF COPE EAFF JUVE Harpacticid copepods Rotifera (mainly Synchaeta sp.) Copepod nauplii (unidentified) 85.0 73.1 BARP SPEC ROTI SPEC 73.6 COPE NAUP Neomysis integer Diaptomus gracilis Daphnia sp. Bosmina sp. Chydorid spp.' Cyclopoid spp. 20.7 24.2 13.2 18.5 4.0 10.6 NEOM DIAP DAPB BOSM CBYD CYCL INTE GMC SPEC SPEC SPEC SPEC .20.3 15.4 15.9 8.8 46.2 39.6 29.5 31.3 11.0 9.7 6.2 4.9 ACAR ACAR ACAR ACAR ACAR OITB PSEU TEMO CENT SAGI OIKO CALA INER TONS LONG CLAU COPE SIMI ELON LONG HAMA ELEG PLEU BELG 25.5 11.9 51.5 20.3 10.6 29.5 4.8 LITT LITT CIRR CIRR TERE POLY ETEO CAPS VELI NAUP CYPR LARV CILI LARV 22.5 MARA MARA MARA BIVA lIIRE EGGS TROC LARV Acartia·bifilosa inermis Acartia tonsa Acartia longiremis Acartia clausi Acartia sp. copepodites Oi thona similis Pseudocalanus elongatus Temora longicornis Centropages hamatus Sagitta elegans Oikopleura sp. Calanus helgolandicus Littorina littorea egg capsules veligers Cirripede nauplii cypdds Terebellid larvae Polydora larvae Eteone sp. larvae Maranzelleria wireni larvae eggs trochophores Bivalve larvae Aphroditid larvae (Leach) Sars Rose Dana Lilljeborg Giesbrecht Claus (Boeck) (O.F.Muller) Lilljeborg Verril ~(L.) 8.4 7.0 8.4 APHR LARV GLOSSARY OF ABBREVIATED TERMS USED IN TEXT Variable Distance from upper Shorthand identifier Transformation Dist LoglO Tide Dummy 4-state tidal limit Tidal state (H,N etc) variable Date Date None, represented as decimal month Inorganic component Inor LoglO Org LoglO %org arcsin/-loglO of suspended solids Organi~ component of .,' suspended solids Organic percentage of (x suspended solids Salini ty Sal None Temperature Temp None Chlorophyll a ChI a LogiO Acid Ratio AR LoglO Phaeop igmen ts Phae LoglO Freshwater discharge Disch None at upper tidal limit X+1 as proportion) Contents Introduction Chapter 1 Field survey of littoral estuarine zooplankton and associated environmental variables 1 Materials and Methods Sampling equipment Calibration and testing Sampling programme 3 . Sampling .' 1 2 9 Estimation of small-scale temporal and spatial variability 10 Zooplankton sample processing 13 Numerical analysis of survey data 17 Multivariate analyses 17 Relationship between community structure and environmental, spatial and temporal variables 19 Vater samples 21 23 Results Environmental variables 23 Temperature and salinity 24 Suspended solids and photosynthetic pigments 30 Comparative trends 38 Zooplankton 41 Taxa recorded and frequency of occurrence 41 Distribution of taxa in samples 43 Spatial and temporal patterns of abundance in individual taxa 48 Patchiness 54 Spatial variation 54 Temporal variation 57 Eurytemora affinis Effects of preservation 58 58 Variation in length 58 Abundance 65 Age structure 77 Multivariate analysis of field survey data 91 Environmental variables 91 Environmental data 93 Taxa included 94 Samples categorised by station 101 Samples categorised by sampling cycle 135 Samples categorised by tidal state Chapter 2 162 Measurements of development rate in E.affinis Material and Methods 181 -------------------Experiment 1: development rates in mass culture at 15 and 20 deg.C 181 Experiment 2: development rates at four temperature and two food levels 184 Results 189 Experiment 1: development rates in mass culture 189 Experiment 2: development rates at four temperatures and two food levels 191 .- Chapter 3 Primary production 191 Comparison of development and survival between replicates and food levels 191 Estimation of egg development times 193 Estimation of naupliar and copepodite development rates 194 8 deg.C 194 12 deg.C 199 16 deg.C 205 20 deg.C 210 Average stage duration 210 Development rate as a function of temperature 218 Estimation of daily length increment from field and lab. observations 220 Predation by Neomysis integer on Eurytemora affinis 227 Materials and Methods --------------------Collection of experimental material 228 Pretreatment and exposure of mysids 229 a) effects of size on predation rate 229 b) estimation of functional response 231 c) predation in the dark and in the presence of detritus 232 Sorting and preparation of cope pods 233 Results 235 Relationship between size and predation rate 238 Functional response 242 Predation in presence of detritus 253 Foraging in the absence of light 255 Discussion 257 Field survey Equipment performance 257 Taxa identified 257 Community structure and environmental variables 260 Chi-squared test of association between taxa and samples 261 Classification 262 Assessment of methods 266 Patchiness Dunmore Skinflats Eurytemora affinis Summary 268 268 268 269 Predation 269 Development rates 271 Field observations 274 277 Introduction The zooplankton of estuaries has been widely studied (e.g. Hiller 1983, Collins and Villiams 1982, Taylor 1987) and their characteristics described. The estuarine environment particular problems for zooplankton, poses both physiological behavioural. 'Lance(1965) has demonstrated and that osmoregulatory ability may influence species distribution, while Burkill et al (1982) ~nd dePauw (1973) inter alia have suggested that behavioural explanations maintenance need to be invoked to explain the of endemic populations in the face of high flushing rates. For species that can successfully the low-salinity overcome these problems, regions of estuaries may provide a rich resource (Horris et al 1978, Heinle et al 1977) and lead to high secondary production. A feature of estuaries is often the high proportion total area accounted for by Roddie (1980) and dePauw(1973) of the the intertidal zone and shallows. have demonstrated of the littoral zone as a refuge from flushing, the importance but more information on this habitat is needed in order to understand the extent to which its inhabitants constitute a true community. The marked gradients present in estuaries (both spatial and temporal) should constitute strong influences on the structure of zooplankton communities. The estuarine habitat should therefore be a suitable environment and interpreting A difficulty assemblages community structure. in understanding the structure of species lies in objectively relating a complex of environmental variables of classification uncovering in which to test methods for resolving to a complex of species. A wide variety and ordination methods are available for species association. to apply combinations One aim of the present study was of some of these methods to establish to what degree the littoral estuarine plankton of the Forth possess discernible structure, quantitatively and to what degree this structure could be related to physical, spatial and temporal factors. To help achieve this, a sampling programme was designed to cover the major semidiurnal.and semilunar cycles on a seasonal basis, and thus to permit variation on a variety of levels to be removed by the analysis of categorical data subsets. The degree to which a method succeeded could then be tested by examining the extent to which samples were sorted by logical category in the analysis. Biological factors, in addition to environmental to structure communities. and Heinle and Flemer(1976) Eurytemora factors, act Roddie (1980), Burkill et al (1982), have shown that the cope pod genus can achieve high abundance at the upper end of estuaries, and Roddie et al (1984) have demonstrated of this species to regulate its haemolymph conditions of low and fluctuating characterised the ability concentration under salinity. Taylor (1987) has the upper estuarine zooplankton of the Forth estuary as comprising the mysid Neomysis integer and Eurytemora; Heinle and Flemer (1976), Burkill and Kendal (1982) and others have suggested that Neomysis may prey on Eurytemora and this may be an important route of energy transfer from the detrital to the pelagic food web. A second aim in this work was, therefore, to establish if predation did occur, and if so to quantify the process and gain some insight into the potential impact of Neomysis predation on the Eurytemora population. The maintenance of an indigenous population requires that net population growth rate exceeds the flushing rate of the habitat. One factor influencing population dynamics is the rate of physiol~gical development and maturation (generation time) of a species. Evidence indicates that, in copepods, development is both temperature- and food-dependent rate (Corkett and McLaren 1970; Klein Breteler et al 1984). T~e third aim of this study was to estimate the effect of temperature on the development of Eurytemora fed on environmentally-realistic concentrations of natural suspended particulate material. Heinle et al (1977) have shownth~t copepods can grow and reproduce when fed microbially-rich that Eurytemora detritus, and Boak and Goulder (1984) have shown in the Humber estuary can graze on bacteria attached to suspended particulate material. By applying laboratory-derived observations estimates of development rate to field of size distribution at different times of year, it was intended to estimate the daily length increment of each developmental stage at a range of temperatures. Chapter 1 Field survey of littoral estuarine zooplankton and associated environmental variables _,' Sampling equipment The sampling equipment was required to effectively small « 10 mm) zooplankton (Roddie,1980) positioned in shallow water. A previous study had used concentric suspended vertically sample 250 um and 69 um mesh nets in a vooden frame,the whole assembly being in shallow water so that the net openings vere about 20 cm above the vater surface. 100 I of water collected with a 10 I bucket was filtered through these nets. In the present study, it was considered necessary to develop a method which could rapidly sample a larger volume vith less disturbance of adjacent vater, and which was free of the depth restriction imposed by a wooden frame of fixed height. Sampling requirements centrifugal were met by a l2v Teleflex-Morse pump with a nominal delivery rate of lOOI/min, modified as illustrated in Fig.l.1 • Rigid PVC pipe was connected to the pump outlet to act as a handle and permit sampling in depths of up to 1m. A cone attached to the pump inlet reduced the intake diameter intake velocity to 2cm • This had the effect of increasing (and thus the velocity gradient close to the intake), reducing the likelihood that zooplankton escape responses would be effective in avoiding capture. 2 m of flexible 2.5 cm diameter polythene tubing connected to the rigid pipe delivered vater to concentric 250 um (inner) and 69 um (outer) mesh nets suspended from a frame attached to expanded polystyrene floats which held the net mouths 15 em above the water surface. Each net terminated in a 2.5 cm diameter cod end 7.5 em in length, to the bottom end of which was welded a screen of nylon net of the appropriate mesh size. Power was supplied to the pump via 10 m of cable by a l2v motorcycle 1 connection to '1 m flexible hose leading to net support frame 1 m 1" PVC piPe .,. •2 _ 2 Cll diameter intake attached,__to_pum_p__,.in_le_t--lt- Ilet support f_ram--r"e pump body ...,__s~~tyren. 2.50. WI net ----69 UIl and cOl!l-end net. and cod-end Figure 1.1 Centrifugal puap configuration and concentric net design battery mounted in a backpack. It was thus possible to operate the sampling equipment in any location which was physically accessible. The pump was activated by a toggle switch mounted on the rigid PVC pipe. Calibration and testing The pump was tested to determine whether zooplankton could be sampled without damage, and to establish the most convenient method of calibration. Preliminary sampling was carried out on 30.11.81 at S.Alloa(Fig.1.2). prese~t.Microscopic Eurytemora affinis was the only species examination of the samples revealed that none of the individuals collected had been physically damaged. Calibration was achieved by recording the time taken to fill a 45 1 polythene bucket. Initial measurements indicated that delivery rate varied between 70 and 85 l/min at between 0 and 25 cm head. 25 cm was chosen as the standard elevation above sea surface for· the highest point in the delivery system, and every effort was subsequently made to maintain this height as closely as possible during sampling. Calibration was carried out prior to sampling on every occasion. Assuming a possible error of +/- 1 1 in volume measurement, 1s in time measurement, sample volume was thus determined, independently for each sample, with an error(range) approximately +1- 5%. 2 of and +/- Sampling programme Between December 1981 and December 1982, zooplankton and water samples were collected over a series of lunar cycles at 6 shore sites on the Forth estuary (Fig.1.2,Table at quarterly 1.1). Sampling was conducted less intensively, intervals, in 1983. Four sites (Fallin, S.Alloa, Dunmore and Kincardine) were located in the upper estuary and were characterised by low and variable salinity. Two sites (Culross and Skinflats) were located in the middle estuary and were characterised and more stable salinity(Roddie,1980). as a ~ilot survey in determining represented The study of Roddie(1980) higher was used the choice of stations. Those chosen the full range of estuarine conditions; to reflect considerable by relatively Fallin had been found influence of freshwater planktonic communities, while Culross had been found to reflect some influence from coastal communities. All sites were readily accessible was accomplished was estimated by road, and travel between sites by road. Displacement of high and low water at each site from the tidal simulation models of Frazer et al (1972),and trial runs conducted to establish travel times between sites (Table 1.1). These trials demonstrated the feasibility of sampling all stations on the same tide; in practice, it was possible to follow the tidal pulse up and down the estuary, sampling within 30 min. of high and low water at each of the upper estuary sites and within 30 min. of high water only at the middle estuary sites. The extent of the intertidal zone at the middle estuary sites made low water sampling impracticable. Variation in the timing of high and low water throughout the year prevented sampling under similar light conditions both within and f •.. Skinf lats Skrn Figure 1.2 The Forth estuary and location sampling stations 4 of Table 1.1 Tide time corrections for, and travel ti.es between, stations TIDE TIME CCRRECTIC:iS (:rtel:,tive to Rosyth ) Ba !Oedon model simulations High tide LOl'1 for spring tides tic1e Skin:'l!'lts = -1 hour CuIrass = -1 hour lrb.cardine +10 min. -1 hour Dunmore +20 min. -145 min. Allo~ +30 min. +1 hour Fallin +40 min. +1 hour StirlinB' +1 hour +2 hour ... TRAVEL TIit.£ BEI'~JEEN STATIOxs Time in minutes Journey Stirling-Skinflats Stirling-_Culross 35 . Skinfla.ts-Klncardine 35 10 Kincardine-S •Allo~. 10 S.Alloa-Fallln Fallin-Stirling 5 15 Kincardin-Dunmore 10 Dunmore-S.Alloa 5 5 cy F'l'a!:"e!'et al (1972) Table 1.2 Summary of zooplankton samples collected between December 1981 and December 1982 Fallin S.Alloa Dunmore Kincardine CuI ross Skinflats Date Tide ,11.12.81 BTS LTS BTN LTN + + + + + + + + + + + + HTS LTS BTN LTN HTS LTS BTN LTN + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + HTS LTS BTN LTN HTS LTS BTN LTN + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + BTS LTS HTN LTN BTS LTS HTN LTN + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 8.7.82 BTS + + + + 6.9.82 HTS LTS BTN LTN BTS LTS BTN LTN + + + + + + + + + + + + + + + + + + + + + + + + + + + + + HTS LTS HTN LTN HTS LTS HTN LTN + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 18.12.81 12.1.82 19.1.82 27.1.82 3.2.82 11.3.82 17.3.82 26.3.82 2.4.82 10.5.82 17.5.82 24.5.82 31.5.82 13.9.82 20.9.82 27.9.82 3.11.82 9.11.82 16.11.82 23.11.82 15.12.82 23.12.82 BTS LTS BTN LTN + + + + + + + + + 6 + + + + + + + + + + + +' + + + :."" + + + + + + + + + + + + + + + . Table 1., Recognition characters for stages of calanoid copepods Stage Nauplius 1 3 4 5 6 2 . Appendage Copepodite 1 2 .. . + + + + + + + + + + + + + + + + +.+ maxi1lu1e maxilla 0 0 • 0 0 0 maxi11ipeds 0 0 0 1st leg 2nd leg 0 0 0 0 0 3rd leg 0 4th leg 0 + + + + + + + + + + + + + + + + + + + + + + + + +.+ + + 0 + + + + + --- 0 0 0 0 0 0 0 0 - 0 0 0 0 0 0 0 0 0 0 0 0 • • 0 0 0 0 • • • • 3 4 5 Adult .. 'antennu1e antenna mandible 5th leg caudal rami . - + + + + + + + + + --- + + + + + + + + + + + + .. +fI) q +0 J +~ .... .¥< +~ +ip., '-' + + + + I relatively well developed,but not fully formed - present as lobed structure, or otherwise undeveloped • present as group of setae o structure absent + 7 between sites. Sampling on a given date commenced with either high or low tide samples depending on the times of the tides. Sampling always commenced at the seaward end of the study area. Sampling in 1981-1982 was conducted during eight lunar cycles(Table 1.2); within each cycle, sampling commenced on a spring tide and was normally repeated at weekly intervals until the following spring tide. At each upper estuary site, a full lunar sampling cycle thus comprised a total of 8 samples. Four samples per cycle were normally taken per cycle at the lower estuary sites. On occasion, sampling was reduced to a single spring tide or a single spring- neap pair. It was not always feasible to collect all the samples scheduled for a given date. In 1983, samples were taken at the upper estuary sites only, at quarterly intervals on high spring tides. On one of these quarterly visits, a series of 8 consecutive samples was taken at Dunmore in order to evaluate small-scale temporal variability. On a separate occasion, a series of samples was taken by boat on a grid superimposed on the intertidal mudflats at Skinflats to evaluate the magnitude of small-scale spatial variability. 8 Sampling A total of 248 visits to sampling stations were made, during which 528 zooplankton samples were collected. 500 1 volume were taken at each site on each Samples of approximately visit, with the sampling equipment described above. The pump was calibrated immediately before each sample; normally, the pump was operated for about 6 min. to filter the required volume. On most occasions, there was a residual water flow at the sampling locations of at least 10-15 cm/s, and the nets were positioned downcurrent of the pump to ensure that previously-filtered water was not , re-sa~pled.Sampling was conducted near the shore, in water of 50-100 cm depth.The pump head was moved slowly and continuously between the surface and about 10cm from.-the bottom sediment. The bottom consisted of fine I mud at all sites except Culross, where sand and gravel predominated. Yhen no residual water movement was apparent( most frequently at Skinflats), a transect of approximately 100m was traversed slowly,with the pump head held as far in advance of any disturbance as possible (c. 2m). Occasionally, high turbidity led to net clogging. Vhen this occurred, the pump and stopwatch were stopped, the nets agitated gently to clear the mesh, and pumping and timing resumed. By following this procedure, it was possible to ensure that 100% of the water pumped was filtered. Sample volumes were subsequently calculated from the recorded sample time (+/- O.ls) and the calibrated pump delivery rate(volume measured +/- 0.5 1) for the appropriate sample. 9 Prior to the collection of each sample, 40% borax-buffered Steedman's solution (Steedman 1976) was made up to 4% using 20 um-filtered ambient water. The use of local water minimised osmotic damage to the sampled organisms, which were washed gently with a minimum of filtered local water from the cod-ends of the nets into polythene jars. The contents of the 250 um and 69 um cod-ends were preserved separately. In conjunction with each sample,air temperature and local weather conditions were noted; wind speed was estimated on the Beaufort scale. Two 1-litre water samples were collected in acid-washed polythene bottles. Each bottle was first filled and rinsed with local water, then squeezed flat,held 20-25 cm below the surface, and allowed to fill rapidly.Vater ~ temperature was recorded to +/- 0.5 deg.C using a direct- reading total immersion mercury thermometer. Salinity was determined +/- 0.5 ppt using an HCS conductivity Estimation of small-scale to bridge. temporal and spatial variability The scales over which these sample series were taken was chosen to be relevant to the question of the confidence with which a single sample might be considered representative considered of local abundance; this was to be of the order of tens to hundreds of metres and of tens of minutes. On 23.6.82, a series of 20 samples was taken over the intertidal region at Skinflats(Fig.1.2) to investigate spatial variation within a short time period. Sampling was conducted over a 3S-minute period from a small boat in a depth of between 1m and 2m, during slack high water on a spring tide. The pump and nets described above were mounted on the gunwale of the boat; the nets amidships and the pump deployed laterally from the bow with the intake at a depth of about 65 cm. Boat engine speed was regulated, using a simple log and knotted line,to give a velocity of 0.5 m/s; at this speed, the pump intake was effectively free from any disturbance propagated by the boat. The net cod-ends were replaced with small polythene bottles containing 40% Steedman's solution. These bottles could be removed and replaced with fresh bottles in a few seconds, permitting samples to be taken virtually contiguously. Samples were taken in a series of 5 parallel North-South transects (Fig.l.2), intended to provide a rectangular grid of 20 samples. Although this took place at slack high water and in the absence of wind, buoys were dropped at the beginning and end of the first and last transects to permit subsequent detection of any displacement which might have occurred. Each transect was divided into 4 60-second samples on a bearing of 0 or 180 degrees, and with a pump delivery of 76 llmin at Samples were thus of approximately a velocity of 0.5m/s. 801 volume, but the duration of sampling and thus the volume was determined independently end bottles were changed in approximately for each sample. Cod- lOs between samples, during which time the pump output was diverted away from the nets. Temperature and salinity measurements were made at a depth of 50 cm with an HCS temperature-conductivity At the end of each transect bridge. the boat was turned on a course of 90 or 270 degrees for 60s before turning onto the next transect. The area 11 covered by the sample grid was thus approximately 120m by 120m. Pump calibration was carried out before and after sampling. The survey site was visited approximately 18 h later at low water. The marker buoys were located and bearings taken on visible landmarks to establish their position. These bearings were transferred to an Admiralty chart in order to establish the actual shape of the sampling grid. On 3.3.83, a series of samples was taken on a high spring tide at Dunmore. On this occasion, 8 consecutive samples were taken between high water minus 30 min. and high water plus 30 min. to investigate short-term tempo~al variability at a fixed point. The sampling equipment was operated and calibrated as described previously for shore-based samples. Note was taken of the direction of water movement, and the nets positioned accordingly to avoid re-sampling water. Zooplankton sample processing Upon return to the laboratory, zooplankton samples were rinsed in filtered seawater diluted with distilled water to the appropriate salinity, and curated in fresh Steedman's solution made up to 4% with water of the same salinity. Samples frequently contained a considerable quantity of fine silt, especially in the 69 urn fraction.This was often sufficient to have interfered with subsequent counting. Vhere this occurred, organisms were extracted from the silt prior to final curation by a density separ~tion technique adapted from deJorge and Bouwman(1977). This method involves the use of a colloidal silica,Ludox TH, which has density of 1.3 g/cc. The sample was concentrated of 50% Ludox(diluted to a volume of 50 ml and added to 100ml with distilled water). The mixture was stirred thoroughly with a glass rod, a magnetic follower added, and a 1 cm deep layer of distilled water floated on the surface of the mixture. The addition of distilled water prevented dessication of the Ludox, which causes a change of state from liquid to gel. The mixture was placed on a magnetic stirrer, and the speed adjusted until sediment was re-suspended to about half the depth of the vessel. Stirring continued for one hour, after which organisms were gently aspirated from the Ludox-distilled water interface into a l-litre Buchner flask containing fresh 4% Steedman's solution. A fresh layer of distilled water was floated on the surface of the Ludox and a second extraction performed. This method of extraction proved to be effective in separating all soft-bodied organisms, as well as foraminifera, small bivalve larvae and juvenile gastropods(principally effectiveness Hydrobia). Attempts to assess the of the method for soft-bodied organisms revealed that an exhaustive examination of the remaining sediment was required to detect the few remaining individuals. deJorge and Bouwman(1977) formalin preservation siltparticles;this reported that appeared to prevent adherence of specimens to proved to be the case in the present study. Following Ludox separation the remaining silt was scanned rapidly at low maginification to detect any larger, denser organisms, which were removed and added to those already separated. All zooplankton counts were performed using either a Bausch and Lomb or Vild M5A dissection microscope, dark field illumination. the latter equipped with light and Subsamples or aliquots were placed in a modified Bogarov tray with a volume of 2ml. Vhere practicable, successive aliquots were counted until the entire sample had been examined. This minimised abundance estimation error and ensured that relatively rare taxa were registered. Vhere total numbers were sufficiently large to make subsampling necessary, the sample was diluted to an appropriate volume(determined a preliminary count),agitated from thoroughly, and subsampled with a 2ml Stempel pipette. Successive subsamples were withdrawn (without replacement) until at least 100 of the more abundant categories had been counted (Frolander,1968), following which the entire sample was scanned with the aid of a fine dissecting needle for less abundant taxa. Identification ICES Zooplankton of taxa followed the authorities below: sheets Acartia Centropages Chaetognatha Polychaete larvae Rotifera Appendicularia Sars, G 0 (1895-1928) An account of the Crustacea of Norway Copepoda Rose, M 1933 Copepodes Pelagiques Faune Fr. 26 Paris Copepoda Hartmann-Schroder 1971 Die Tierwelt Deutschlands Annelida 58 Teil Polychaeta (esp. Maranzelleria) .' Newell G E and Newell R C 1977 Marine Plankton, Hutchinson Additional information on a variety of taxa lS Formal identification organisms was accomplished by dissecting(where in lactic acid, mounting the diagnostic lactophenol, appropriate) structures in polyvinyl and examining at 400x under a compound microscope. The commoner copepods were identified to species, and, where practicable, recorded as adult, copepodite or nauplius. A large category of cope pod nauplii remained unassigned All developmental using Table 1.3 to species,however. stages of Eurytemora affinis were enumerated and decriptions in Katona(197l).For separately, 9 sampling dates (Table 1.7) the mean length of up to 50 preserved specimens of each stage was determined using a calibrated eyepiece graticule.Nauplii at 200x,to the nearest 10 um, while copepodites and adults were measured at 120x to the nearest 16.6 um. For the purposes of examining distribution were measured the size-frequency of adults, copepods were grouped into 0.02mm size classes. Hale and female copepodites of stages 4,5 and 6 were counted and measured as separate groups. The length of nauplii was measured excluding the caudal armature. Copepodite length was measured as the length of the cephalothorax, excluding the 'wings' on the final thoracic segment in the case of stage 5 and 6 females. On 27.4.82, samples were taken to determine the effect of preservation on adult body length. Copepods were first killed or rendered comatose by raising the water temperature to 30deg.C over a period of 30 min. 100 . adult females were randomly removed from the sample and their cephalothorax lengths measured as described above. They were then transferred Steedman's solution and stored for two weeks.Vater of capture and 1.2 urn-filtered was used throughout, changes which might have affected body dimensions. copepods was re-measured preservation ~ollected to 4% at the time to minimise osmotic The sample of 100 after two weeks and the mean pre- and post- lengths compared by t-test. 16 Numerical analysis of zooplankton survey data The frequency of occurrence of taxa in all samples and by sample category was computed. Samples were classfied by logical category (high/low, spring/neap, association by station, etc.), and a chi-squared test of between frequency of occurrence and logical category carried out. Multivariate analyses The sur~ey data were analysed by logical category using classification and ordination techniques. The primary methods were routines in the Cornell Ecology Series of programs: Twinspan (classification: Two-Yay Indicator Species Analysis, Hill 1973) and Decorana (ordination: DEtrended COrrespondence ANAlysis, Hill 1979) •. Twinspan (TS) is a polythetic divisive method of classification. purposes of comparison, a synthetic agglomerative For method was also tested; for each sample category a similarity matrix was generated using the BrayCurtis index (log x+1 transformed data) and a dendrogram constructed by group-average sorting (CLUSTAN, Yishart 1970). All TS and Decorana (DCA) analyses were conducted on data subjected to quasi-logarithmic 1000,1001-10000, transformation; abundance classes of 0-30, 31-100, 101- 10001~100000 and >100000 were used. These intervals were used as the cut levels for defining TS pseudospecies; in effect, and for the purposes of computation, each abundance class is regarded as a 'species', although indicator species are still defined by their presence or 17 absence. An upper bound of 30 was used for the smallest abundance class to avoid undue influence from taxa occurring in low numbers. Cassie (1962) amongst others has reported a high degree of uncertainty in estimating population abundance when the number of individuals in a sample is small, and it was considered that abundances between 10 and 30 per cubic metre could not be reliably distinguished. In both T5 and DCA analyses, the supplied option to downweight rare species was invoked. For the purposes of T5 classification, a-character identifiers. samples and taxa were each assigned For samples, the identifiers were constructed as follows: Character Purpose 1 Letter identifying station (F,5,D,K,G,C) 2-6 Digits identifying date 7-8 Letter identifying tidal state (H5,L5,HN,LN) Taxa were allocated 4 characters for generic name and four characters for specific name, e.g. were not identified ACAR LONG represents Acartia longiremis. Vhere taxa to species, a suitably obvious alternative was used, e.g. rotifers were identified as ROT! SPEC. A suite of Fortran programs was developed to re-format data structures for the various analyses,produce raw data tabulation and generate similarity matrices (Roddie 1986). 18 Subdivision of the entire data set into logical categories removal in turn of seasonal,spatial permitted the and temporal effects on community structure. Relationships between community structure and environmental, spatial and temporal variables. a) DCA For each analysis, rank correlation the first two DCA axes were plotted, and Spearman coefficents between major variables and the sample scores on these axes computed. b) TS For each analysis, a TS two-way ordered table and a sample dendrogram were produced. Multiple Discriminant Analysis used to relate environmental (Green and Vascotto Following (MDA, • canonical variate analysis) was variables to classification 1978, Vright et a1 1984, Furse et al 1984). the recommendations (log x+l transformed) which were implemented of Green and Vascotto were entered simultaneously of sample taxonomic composition) into the the analyses, ( in this case on the basis and derives a linear combination the ratio of between-group those variables which had a significant particular (1978), all variables by an SPSSx routine (Nie 1975). MDA uses the grouping assigned to samples by a previous classification which maximises group membership to within-group univariate of variables variance. Only F-ratio (p<O.05) for a sample category were used in the analysis for that category. 19 Following derivation percentage successful of the rule, the samples are re-classified and the re-classification factors are calculated. Discriminant derived which permit the samples to be located in 2-dimensional discriminant space and enable a visual assessment 'of the power of the analysis in discriminating A convenient group structure on the basis of related variables. method of displaying the influence and relative importance of variables is to plot the classification group centroids in multiple discriminant space, and to project onto the plot vectors which indicate the direction and relative magnitude of influence of the variables discriminating between groups (Overall and Klett, 1972). All vectors originate at the overall sample group centroid in discriminant endpoints are defined by co-ordinates products of the univariate space; their which, for each axis, are the F-ratio (between- to within-group for a variable and the correlation discriminant in variance ratio) between group variable mean and group function score mean. Thus, the direction of the vector is a function of the degree of association between each discriminant and a variable, and the length of the vector a reflection of the degree to which a variable is related to group structure. 20 function Vater samples Prior to 3.2.82, only salinity and temperature were measured, using an MCs temperature-conductivity bridge calibrated at regular intervals against a silver nitrate titration. Salinity was recorded to 0.1 ppt, and temperature 0.5 deg.C. From 13.2.82, measurements a and chlorophyll made following to were made of suspended solids, chlorophyll breakdown products (phaeopigments). All determinations were the methods of Strickland and Parsons(1968). Suspended solids were measured by filtering 250-1000 ml of sample water onto pre-ashed,tared (+1- 0.01 mg), Vhatman GF/C glass-fibre a nominal retention of 1.2 um.At least two 1.2 um-filtered of comparable volume were carried through in conjunction seawater blanks with each set of samples. A single sample only was processed in association zooplankton filters with with each sample. After filtration of each sample the filter was rinsed three times with 10 ml distilled water to remove salts,placed on clean aluminium foil and dried at 60 deg.C for at least 12 h. Dried filters were cooled in a dessicator for 1h, weighed to the nearest 0.01 mg, placed on clean aluminium foil, and ashed for 2 h at 450 deg.C. Filters were again cooled in a dessicator before re-weighing. Dry and ash weights were corrected for average blank changes, and the results expressed as corrected dry and ash-free dry weight. Analysis for chlorophyll a and phaeopigments was carried out on 200ml samples filtered onto Vhatman GF/C filters. Filters, with retained material, were folded twice and placed in polythene centrifuge containing tubes 12 ml 95% acetone (made up with Analar acetone and distilled water, and neutralised with sodium bicarbonate). 21 Centrifuge tubes were incubated overnight in a darkened refrigerator extraction of photosynthetic at 7 deg.C to allow pigments to take place. After at least ISh extraction, the tube contents were centrifuged at 3000 rpm for 10 minutes. The supernatant was decanted into a quartz spectrophotometer cuvette with a 10 cm path length. Optical density was measured on a Cecil UV spectrophotometer 95% acetone blank at 663 nm and 750nm. The latter wavelength against a was used to correct for general sample turbidity; no known photosynthetic pigments absorb at this wavelength. Following initial measurement, the sample and blank cells contents were acidified by the addition of 5 drops o~ 10% Hel and allowed to stand for 5 min. to allow any transient turbidity to clear. Optical density was re-measured at the same wavelengths as before. Chlorophyll a concentration, phaeopigment concentration, and the acid ratio(a measure of the health of the phytoplankton population) were calculated using the equations of Strickland and Parsons (1972). 22 Results of Environmental field survey variables Seasonal variation in measured environmental on a station-by-station variables will be examined basis. The variables considered are: salinity temperature chlorophyll a phaeopigments total and organic suspended solids Additionally, for the purposes community structure, of investigating influences on zooplankton tidal state, time, and freshwater discharge to the upper estuary will in a subsequent section be treated as environmental variables. All observations in Appendix A. on measured variables are tabulated by station and tide Temperature and salinity Fallin Low tide salinity at Fallin ranged from 0%0 to 0.8%0, whilst high tide salinity encompassed a range of 0%0 to 12.2%0 (Table Al ,Fig.1.3a). On only two occasions did salinity exceed 5.7%0. Temperature symmetrical corresponded varied annually between 0 and 19 deg.C, following an approximately curve (Table A1,Fig.1.3b). High and low tide temperatures closely throughout the year. A temperature range of up to 6 deg.C during a single sampling cycle (11-17 deg.C, May-June 1982) was observed. S.Alloa There was a wide discrepancy at S.Alloa (Table A2,Fig.l.3c). summer and least pronounced between the high and low tide salinity curves The difference being most pronounced in autumn and late winter/spring. range was 0-5.5%0, and high tide salinity range was 2.0-22.6%0. in Low tide salinity Low tide salinity varied little within any sampling cycle, but high tide salinity displayed a wide range (up to 13.9 %0) within sampling cycles. Temperature displayed a closely similar range and pattern to that at Fallin (Table A2, Fig.1.3d). ~- b) ~ Fallin tempreature 0 v ~ ?P I ,0 ,.; ~ \~ ~ .' ~) S.A1loa salinity ~) S.Alloa temperature .. _.o.. .... -e: -"'-... ~~- --- -_ ................. .-~ ------~ ~' F\ M Figure 1.3 o N 1> Annual variation in salinity and temperature at Fallin (a,b) and S.Alloa (c,d). Open symbols .high tide Closed symbols • low tide 25 Dunmore The pattern of salinity variation at Dunmore was similar to that at S.Alloa (Table A3, Fig.l.4a), with maximum salinities occurring in the summer and during equinoctial tides. Low tide range was wider (0.6-14.0%0) than at S.Alloa, as was the high tide range(3.8-28.5%0). Temperature ranged between 0 deg.C and 17.0 deg.C, and the pattern again matched that observed in stations further up-estuary(Table A3, Fig.1.4b). Kincardine Minimum low tide salinity at Kincardine was 3.4 %0, and the maximum observed was 23.0 %0 (Table A4,Fig.1.4c).The high tide range was 10.4%0 to 31.5%0. Compared to stations further up the estuary, the difference on any date between high and low tide salinities was relatively small. Temperature occupied the range 1.5-16.5 deg.C, and was thus slightly reduced with respect to up-estuary stations (Table A4,Fig.l.4d). The annual pattern of variation in temperature was similar to that at upestuary stations. 26 et) Dunmore salinity 10 '2S \~~ ____ ---- 'lD ~ .......... ...0.. ... .r I!, ,0 "-, ~ b) ..... ~.. '" ......... '' / -1 \ ,I ~:,,~,,~ Dunmore temperature r=> -.-'- ........_ ", ~::-- r-----4 .. __ --~ ' c." ,/ )0 G.o. .., '2~ o 1.0 o..!2 IS Kipcardine saiinity ,p............ ,.. ....... .. .. :~~-_ <, -.. ---'{ I /V~ , I It> ........... S" / /\ Kincardine temperature 10 Figure 1.4 Annual variation in salinity and temperature at Dunmore (a,b) and Kincardine(c,d). Open symbols .high tide Closed symbols • low tide 27 Skinflats Salinity varied between a maximum of 31.0%0 and a minimum of 15.8%0 (Table AS,Fig.1.5c), and temperature between 0 and 21.0 deg.C (Fig.1.5d). Neither the pattern of salinity variation nor that of temperature corresponded closely to those at other stations. Culross Salinity at Culross varies relatively little throughout the year, showing only on~ major reduction (to 10.6%0) in late September (Table A6, Fig.1.5a). Salinity was normally in excess of 20%0, and reached a maximum of 32.6%0. The reduction in salinity in late September closely matched similarly abrupt reductions at Kincardine,Dunmore, Temperature and S.Alloa. ranged from 5.5 deg.C to 27.5 deg.C; both minumum and maximum values were higher than those of other stations, but the seasonal pattern was otherwise similar. 28 Culross salinity )0 ,l''\,/ ':lS , ,, ,%0 0 ~ ,, (~ 1'0 Ij Culross temperature Po_ .,,," ~) 0.......... Skinflats \., V - ",/ ~ " ...... " ... salinity '\ ~ V - ---- pr ---- _--------~... . ... """.1\/' It) tN Skinflats temperature 1.t'" 'Zo v 0 \S' fb '5' ~ .. " r> Figure 1.5 ,, A s: S Annual variation in salinity and temperature at Culross (a,b) and Skinflats(c,d). High tide samples only. 29 ? , Suspended solids and photosynthetic pigments These variables will not be reported in detail here; the data will be analysed more comprehensively in conjunction with the analysis of zooplankton survey data. Fallin Suspended particulate material exceeded 200 mg/l on 3 occasions on high tide, but on 5 occasions on low tides (Fig.l.6a,b; Table Al). The organic proportion lay between 10 and 20% for both tidal states. On low tides, there was a t~ndency towards higher suspended particulate loads on low spring tides. , Chlorophyll a and phaeopigments showed less variation between tidal states; the latter pigment class consists of chlorophyll breakdown products and predominated over chlorophyll a on all occasions except one (Fig.l.6 c,d). The acid ratio, an indicator of phytoplankton health (1. senescent, 1.7. healthy) reached a maximum on the same date, but did not otherwise exceed 1.52 and predominantly took values indicating a low ratio of production to breakdown. S.Alloa Both suspended particulates and pigments at S.Alloa showed less variability and lower values than at Fallin on high tides, but greater variability and magnitude than at Fallin on low tides (Table A2,Fig.1.7). Acid ratio reached a maximum of 1.67 on the same date in July as the Fallin , I """"'_'QI 2 <:Ciiiii o ~ ,~ 5 o J c:::::J id t c ~ .' ~ ...., u -e -.1 _-.1 C -c u as bel v .. ., -e .. ... ,....,. ... O-.t:l I WQlas -"0 te c CIl.l:_ "OCil - ~asc 0 CIl~ "0 QI ... .1:- -CCJ QI_CIl as c CIl QI"'''O Q.CQI CIlQl ..."O "0 I~ C . -~ =' e ..... CIlbOOCJ ~ r-4 Co Co C :J: as ..... ...r-4 CJ oas_"C ...... cc o as QI C"'bO'" -.1 ~ :r. ...... "00 CIl C C Oas"'CII -.1 C QI"O CII-CJQI -.1., ...... .. QI ... CIIas~O >- • r-4 Co ~"OC CllQI .....O =,"Or-4-.1 casr-4'" ~.c:as., ... ... ~ ~ g .:r i/~f ~ 0/ Cyy (I) "" \0 • .-t ... QI ::s 31 - bel ..... f&o ... ,t:::l \ J 01 P 2 o a IJ) -Pt=:J ,=- ~ 0 j I = r I 1 -s - '~ :t ~ - a r maximum, but otherwise generally indicated a preponderance products over viable photosynthetic of breakdown products (TableA2, Fig.l.7). On low tides, there was a tendency towards higher particulate loads on spring tides. Particulate loads exceeded 200 mgll on eleven low tides but on only two high tides. The organic percentage did not exceed 18% on low tides but exceeded 25% on four high tides (Table A2,Fig.l.7). Dunmore Suspended particulate concentrations exceeded 200 mgll on eight low tides, but exceeded 100 mgll on only one high tide (Table A3, Fig.l.8); this high tide value was, at 853.3 mgll, the highest value recorded during the survey. The organic content of the suspended particulate material lay in the range 13-22% for low tides but was 13-31% on high tides (Fig.l.8). The seasonal trend in primary production was more clearly evident on high tides than on low tides, a feature also of the data for S.Alloa and Fallin. Pigment levels were higher and more variable on low tides than on high tides and appeared to be to a large degree associated with suspended particulate levels. ~IC===========~----~~ ..... - .,. , ......... a \ ~ c _ ..- ... I IV e \0- j 0 = .:!. I = Ic:::::J c: c:: ·~ . 0\ 3.5 Kincardine The variability of suspended solids at Kincardine appeared considerably reduced with respect to the upper-estuary stations; on only four dates did levels exceed 200 mg/l on low tides, and on only one date did levels exceed 100 mg/l on high tides. The organic proportion ranged between 13-22% on low tides and 15-26% on high tides. Pigment concentration (Table A4,Fig.1.9). variability vas also reduced, especially on high tides Again, the seasonal pattern in chlorophyll a vas most evident on high tides. High levels of chlorophyll a on low tides vere associated with high concentrations of both total pigments and of suspended solids; .this is likely to have been a consequence of the resuspension ~ benthic diatoms into already-turbid of water. Culross and Skinflats The range of values observed for variables at these two lower-estuary stations indicated considerable damping compared to the upper estuary. Organic content of suspended solids at Culross between 14 and 30% and at Skinflats between 13 and 32% (Tables A5,6; Fig.1.10). v i.- .. e- ~ ~ P ~ 0 .f' et h ~ J I'" 11. ~ ~ I V' et ....u t "0 \l- -.. ...... eG ..,- M ell ell ....c:rn (I p c: - ell rn .... tIOO"O 104 8 =r ~ ~ r... ~ GI - 104 wU'" ~ ... rn rn lIS lIS ~ J c: 104 o~ =' "0 .... -"0 I ==. - ~"OGI OQl'" rn "0 ... CII 0 "O.c:~ Qlrno. c::! I d ( I c:-. iI "0 c:: ell Cl) g.~ rn.c: =' ....c:: • .. CII bO "0 CJ rn-104 ~ rn o u CII ...... c: ... c::c: .... o QI QI _ ... ... eu"O bOlo4C: c::.~ • CJ .... QI QI g.Po. c::~'C o lIS w .. Cl) ,Q lIS ... 0CIS ... rn"O ....... f l rI' ~ j ':> ....w"OeII'" ... eIIC::~'" > ell .... 0 c::~0. .... ~_ CIS"O~ =,QlCIlO c: "0 0 r-4 • r-4 ! ~ ----_ ;s .... ~CIS"O'" .c:C:eII rn ell w U ~ QI 0/ ~ r ~ 'J7 Comparative trends To facilitate comparison of seasonal trends between stations, total pigment concentrations (Fig.1.11) and total suspended particulate material (Fig.1.12) were plotted on a logarithmic scale versus time. Total suspended particulate material A degree of coupling was apparent on high tides between the following pairs of stations: S.Alloa/Fallin, Dunmore/Kincardine, Skinflats/Culross. On low tides, Fallin, S.Alloa and Dunmore exhibited a strong degree of coupling. ~ Total Pigments On high tides, Fallin and S.Alloa appeared to be coupled to some extent. Neither Dunmore nor Skinflats matched the patterns at any other stations, but Kincardine and Culross showed similar patterns of variation. On low tides, Fallin, S.Alloa and Dunmore again appeared strongly coupled, whilst Kincardine had some features in common with these stations. Trend Summary Figures 1.11 and 1.12 demonstrate that, especially within the upper estuary, patterns of temporal variation environmental variables may extend over a scale of tens of kilometres. Total Pigments - High Tide 100 10 rot Fallin ~ 1 ::s S.Alloa Dunmore Kincardine ---~-------------~/~ Skinfiats Culross Total Pigments - Low Tide Fallin S.Alloa Dunmore Kincardine Figure 1.11 Seasonal trends in total photosynthetic pigments at all stations on high and low tides. All values plotted on same logarithmic scale 39 Total Suspended Particulate Material - High Tide Total Suspended Particulate Material - Low Tide 1000 100 ,....la Fallin f S.Alloa Dunmore Kincardine Skinflats Culross Fallin S.Al1oa Dunmore Kincardine Figure 1.12 Seasonal trends in total suspended particulate material at all stations on high and low tides. All values plotted on same logarithmic scale 40 Taxa recorded and frequency of occurrence The following taxa were regularly recorded from samples collected in the course of the survey; in association with each taxon, the authority (where appropriate), frequency of occurrence in samples, and the shorthand identifier used in subsequent analyses are recorded (Table 1.4). In addition to the above, the following taxa were encountered on rare' occasions; .. - Copepoda Annelida Eurytemora velox Syllid sp. Aphroditid larvae Corycaeus anglicus Acartia bifilosa Acartia discaudata Pseudocalanus Mollusca Nudibranch juveniles Hydrozoa Steenstrupia sp. parvus Sarsia sp. Amphipoda Gammarus zaddachi Hyale sp. Orchestia sp , Chaetogammarus Evadne sp. Teleost Pomatoschistus sp. Corophium sp. Oligochaeta Acaridae Turbellaria Nematoda Foraminifera Cladocera 41 sp. Table ,.~ Taxa recorded, frequency of occurrence in samples, and condensed taxon identifier Taxon Eurytemora affinis Adult copepodite Nauplii % occurrence Authority (Poppe) Harpacticid copepods Rotifera (mainly Synchaeta sp.) Copepod nauplii (unidentified) ,_ Neomysis integer Diaptomus gracilis Daphnia sp. Bosmina sp. Chydorid spp. Cyclopoid spp. Acartia bifilosa inermis Acartia tonsa Acartia longiremis Acart~a clausi Acartia sp. copepodites Oithona similis Pseudocalanus elongatus Temora longicornis Centropages hamatus Sagitta elegans Oikopleura sp. Calanus helgolandicus Littorina littorea egg capsules veligers Cirri pede nauplii cyprids Terebellid larvae Polydora larvae Eteone sp. larvae Haranzelleria wireni larvae eggs " trochophores Bivalve larvae Identifier (Leach) Sars Rose Dana Lilljeborg Giesbrecht Claus (Boeck) (O.F.Muller) Lilljeborg Verril 81.1 89.4 85.0 EAFF ADUL EAFF COPE EAFF JUVE 85.0 73.1 HARP SPEC ROTl SPEC 73.6 COPE NAUP 20.7 24.2 13.2 18.5 4.0 10.6 NEOH DlAP DAPH BOSH CHro CYCL lNTE GRAC SPEC SPEC SPEC SPEC 20.3 15.4 15.9 8.8 46.2 39.6 29.5 31.3 11.0 9.7 6.2 4.9 ACAR ACAR ACAR ACAR ACAR OITH PSEU TEMO CENT SAGl OlKO CALA lNER TONS LONG CLAU COPE SIMI ELON LONG HAMA ELEG PLEU HELG 25.5 11.9 51.5 20.3 10.6 29.5 4.8 LlTT LITT CIRR CIRR TERE POLY ETEO CAPS VELI NAUP CYPR LARV CILl LARV (L. ) ,22.5 8.4 7.0 8.4 42 MARA \lIRE HARA EGGS HARA TROC . BIVA LARV In terms of frequency of occurrence, unidentified dominated E.affinis, cope pod nauplii (predominantly harpacticid) copepods, and rotifers the survey; all these categories were found in excess of 70% of samples. The next most frequently occurring copepods Oithona similis, Temora longicornis accounting harpacticid taxa were the neritic and Pseudocalanus e10ngatus, for 30-40% of samples. Compound taxa such as cirripede naup1ii (predominantly Balanus and E1minius but not differentiated) and the nauplii of the Acartia genus were also present in a large proportion of samples. The Acartia species complex was well-represented in these littoral samples (6 species in all); Taylor (1987) found a similar range of species in his con~emporary study of the plankton of the main channel of the Forth. Distribution The distribution of taxa in samples of species with respect to sample category was initially assessed by tabulating the number of samples within each category in which a species occurred (Table 1.5) and then testing (chi-squared the distribution of occurrences overall distribution is relatively between related categories of samples between categories insensitive to hierarchical test) whether deviated from the (Table 1.6). This approach structure; variation between one set of categories within another is likely to be obscured. 43 Table18 The distribution of species between tide and station categories Taxon DAPH SPEC BOSH SPEC DIAP GRAC CYCL SPEC CHYD SPEC NEOH INTE EURY AFFI ACAR CLAU ACAR LONG ACAR TONS ACAR BIFI ACAR INER ACAR DISC PSEU ELON OITH SIHI CENT HAHA CALA HELG TEHO LONG PARA PARV SAGI ELEG OIKO''DIOI ROTI SPEC HARP SPEC POLY CILI MARA VlRE MARA TROC MARA EGGS LITT CAPS LITT VELI APHR LARV SYLL SPEC ETEO LARV TERE LARV NERE LARV CIRR CYPR CIRR NAUP BIVA LARV Category High Low Spring Neap HS LS HN 13 14 21 8 1 14 134 18 30 26 1 43 4 51 76 24 11 63 3 22 11 98 113 56 28 12 12 41 24 2 3 5 19 15 36 93 11 17 27 33 16 9 33 86 2 6 8 0 3 0 6 14 2 0 8 1 0 1 68 79 11 23 4 7 17 4 4 0 6 5 9 10 24 8 13 19 22 14 7 22 111 9 20 22 1 30 2 29 55 17 7 42 2 17 11 82 96 38 29 12 15 33 17 6 2 8 13 18 30 64 9 17 22 32 10 3 24 109 11 16 12 0 16 0 28 35 9 4 29 2 5 1 84 96 29 22 4 4 25 11 0 1 3 11 6 16 53 10 LN 4 9 9 8 6 13 8 14 8 14 13 19 5 9 3 7 1 6 0 3 8 14 5 19 71 40 63 46 9 0 9 2 18 2 12 4 19 3 7 5 1 0 0 0 28 2 15 1 2 0 2 0 28 1 23 5 51 4 25 10 16 1 8 1 7 0 4 0 40 2 23 6 1 1 2 0 17 0 5 0 10 1 1 0 49 33 49 35 57 39 56 40 32 6 24 5 .16 13 13 9 9 3 3 1 9 6 3 1 26 7 15 10 15 2 9 2 2 4 0 0 2 0 1 0 4 4 1 2 2 8 3 11 11 7 4 2 26 4 10 6 55 9 38 15 5 4 6 4 44 FA SA DU KI SK CU 16 19 21 9 6 8 41 0 2 1 0 2 '0 2 1 0 0 0 0 0 0 35 36 5 7 0 2 8 1 0 0 0 0 3 2 3 0 0 1 0 1 0 1 20 6 3 6 0 14 2 15 15 4 3 15 1 12 4 13 19 11 4 1 1 8 5 0 2 1 3 3 6 16 4 7 9 20 7 4 15 49 1 3 5 0 4 0 7 11 0 1 5 0 0 0 44 44 11 11 2 4 7 4 0 0 2 4 4 8 14 0 5 8 7 5 0 16 47 1 10 9 0 10 0 17 20 7 2 15 1 4 2 45 36 10 13 3 4 12 5 1 0 3 3 7 9 26 2 2 4 6 2 0 7 45 9 12 7 1 10 1 16 28 8 2 24 2 3 3 31 40 18 12 8 6 10 6 5 1 5 9 5 13 39 12 0 0 0 0 0 0 18 3 6 6 0 6 1 10 15 4 3 12 0 3 3 7 20 12 4 2 2 13 6 0 0 0 5 2 8 19 1 • Table 1.6 Association of taxa with tidal and geographical sample categories. +,- indicate a significant chi-squared value: the sign indicates whether a taxon could most easily be considered biased towards or away from a particular category Taxon }{ L S N j·1S LS BOSM SPEC + + DrAP GRAC t + cyeL SPEC + + + MEOM IN'I'E. ",CAR CLAU +. ACAR lONG + ACAR TeNS AeAR I.CM AeM PSW BIFI INER DISC ElON OrTf{ SIMI ,COO HAMA IN f"A + + + + ... ... CALA HUG + TENO lOOG + FARA 'P/-.RV SAGI ElEG 011(0 DIO! + 1- + + SA DU K SJ( Cu + + + + + + CHYD SPEC EURY AfT! }IN + DAPH SPEC .' Station Tides + + + + + t- + + + + + + + + + + ... + + + + + + + + + + + + + + + ROr.I SPE'C ~:A~..PSl'!':' POLY cm + MARA \4TRE + + ~ARA "['~ MARA EGGS LITT CA:F5 lIT!' YEU + + APHR WV + + + SYLL SfEC ETEO lARV TER8 LA.T<V + cm + + + nERe lAAY CIP.:t C!:R:t NAUP + + + + + ElVA LAAV + 4S + + + High/low tides Comparison of high and low tide occurrences revealed two readily-distinguished groups; those which occurred significantly more frequently than expected on high tides and those which showed a similar bias towards low tides. The former group comprised mainly neritic calanoid copepods - Acartia spp., Pseudocalanus,Oithona, Centropages,Calanus and Temora- together with Oikopleura, Sagitta and some lower-estuary meroplanktonic forms (Littorina egg capsules, cirripede larvae and Polydora larvae). The second group comprised predominantly freshwater holoplankton including Daphnia,Bosmina, and the upper-estuarine mysid Neomysis. cyclopid copepods, chydorids Spring/neap tides The majority of taxa had occurrences more or less evenly divided between spring and neap tide samples (Table 1.5). Only four groups showed a dev~ation from the relative frequency of occurrence of spring and neap samples. The marine genera Sagitta and Oikopleura both occurred significantly more frequently than expected on spring tides, as did the larvae of aphroditid and nereid polychaetes. High and low spring/high and low neap tides This comparison refines the evidence from the two previous comparisons. The neritic copepods oc~urred significantly more frequently than expected on high spring tides, as did Sagitta and Oikopleura. significantly Aphroditid larvae were associated with low spring tides, as were the freshwater holoplankton. Littorina egg capsules and veligers, and cirripede nauplii and cyprid larvae were both significantly associated with high spring tides. Comparison Twenty-eight between stations out of forty-two taxa showed a significant degree of association with station (Table 1.5, Table 1.6). Neritic copepods were most strongly associa with Dunmore and Kincardine (Fig.l.2), whilst freshwater cladocera and cope pods were st~ongly associated with Fallin and S.Alloa. Neomysis appeared ~ significantly more often in S.Alloa and Dunmore samples than in collections from other stations. Heroplanktonic frequently at the up-estuary larvae occurred significantly less stations Fallin and S.Alloa than the relative number of samples taken at each station would predict. Haranzellaria larvae were most strongly associated with Dunmore and Kincardine, while littorinid and cirripede larvae were biased towards the lower-estuary sites Culross and Skinflats. Sagitta and Oikopleura were also biased towards the lower- estuary stations. 47 Spatial and temporal patterns of abundance of individual species Raw abundance data (individuals/cubic metre) were tabulated by station and tide (Appendix B), and abundances of selected taxa plotted on logarithmic or linear scales as appropriate to the abundance levels recorded (Appendix C, Figs.Cl to Cl9). The contents of Appendices will not be interpreted Band C are intended primarily in detail. Six taxa have been omitted from tabulation in Appendix B; Syllid larvae, Paracalanus discaudata. for reference, and sp., Acartia bifilosa. Acartia nudibranch juveniles and aphroditid larvae all occurred in less than four percent of samples. Seasonal plots of abundance were constructed following five categories (holoplanktonic station-by taxa chosen on the basis of abundance and/or their relative importance within a particular E.affinis Nauplii Copepodites Adults Freshwater Diaptomus Daphnia Bo~mina Chydoridae station for the planktonic association): Mixed taxa Unassigned copepod nauplii Neomysis Barpacticid copepods Rotifera Acartia genus A.clausi A.longiremis A. tonsa A.bifilosa inermis r('~(, ) ~ S Neritic, copepods Temora longicornis .,' Centropages hamatus Oi thona similis Psudocalanus elongatus Meroplankton Several meroplanktonic taxa,showed strongly seasonal patterns of abundance. This was especially marked for the eggs and larvae of Littorina ,cirripedes, and the spionids Maranzelleria and Polydora. Littorinid egg capsules were largely confined to Culross between March and July 1982 (upto 4343/m-3) although 692 m-3 were present on 15.12.82 at Culross(Table B6). Cirripede nauplii displayed a similar pattern of abundance but a longer period of ~ccurrence at Culross (Table B6), and were als0 abundant over the same period (March-September) at Kincardine and Skinflats. At each station at which they occurred regularly, both Littorina capsules and cirripede nauplii displayed a pattern of relatively higher abundance on high spring tides than on high neap tides. Larvae of Maranzelleria were confined to a period in March-April 1982, and were most abundant (up tp 160000 m-3) at Skinflats although occurring at all stations including Fallin. Larvae of terebellid polychaetes, Eteone and bivalves attained Polydora, both maximum frequency of occurrence and maximum abundance in May 1982 (Tables B 4 to 6). The spionids Maranzelleria and Polydora displayed a succession of larval production. E.affinis The pattern of abundance of E.affinis will be described below in conjunction with consideration of the population size and age structure. Freshwater taxa The influence of the freshwater community extended, with diminishing magnitude, as far down-estuary as Kincardine (Figs.C16 to C19). Abundances were generally low for all taxa, rarely exceeding 200m-3. There was a trend, becoming more marked down-estuary, for abundances to be greater on low tides than on·high tides. At Fallin, S.Alloa (except Diaptomus on low tides) and Dunmore. Diaptomus,Daphnia so and Bnsmina were most abundant during the period January-April, the period September-November. whilst chydorids were most abundant during Chydorids appeared at Dunmore in only one sample (low tide), and were absent from all Kincardine, Culross and Skinflats samples. The pattern of abundance of Diaptomus, Daphnia and Bosmina at Kincardine on low tides was similar to that further up-estuary. Acartia genus Members of the Acartia genus occurred on only five occasions at Fallin (Table B1). The abundances of A.clausi, A.longiremis, A.bifilosa inerm1s and A.tonsa have been plotted for high and low tides for S.Alloa, Dunmore and Kincardine, and for high tides at Culross and Skinflats(Figs. A.clausi occurred infrequently, in low numbers and predominantly C11-1S). on high tides at all the above stations, exceeding 300 m-3 only once (Skinflats, March 1982). A similar spring maximum occurred at Kincardine; at the remaining stations, maximum abundance occurred towards the end of the year (Fig. C13). A.longiremis exceeded 100 m-3 only once, at Kincardine remaining occurrences were patchily distributed at Culross and Kincardine. in July 1982. The in time and most frequent Occurrences were predominantly At Culross and Skinflats, A.longiremis on high tides. was most common in the latter half of the year (Figs. C14,15), but at Dunmore and S.Alloa occurred most frequently between May and July 1982. Occurrence was distributed over a longer period of time at Kincardine than at other stations, with a number of appearances in lo~ tide samples. A.bifilosa inermis occurred at all stations in generally low abundances and in no obvious pattern. Numbers of over 1100 m-3 were recorded in a single May sample at Skinflats, and reached 225 m-3 at Kincardine on the same occasion (Table B4,5;Fig.C13,14); abundance did not otherwise exceed 100m-3 at any station. Low tide occurrences were rare. A.tonsa appeared at all stations except Fallin from September onwards. This species showed considerable overlap in occurrence with A. longiremis. Neritic copepods ~ Temora, Centropages, Oithona and Pseudocalanus (Table Bl-6;Figs C6-10) showed 'no clear seasonal pattern of abundance, and there was little correspondence in occurrences between stations. At Dunmore and S.Alloa, Centropages had peak abundance in May. At Culross and Skinflats, Centropages showed a similar peak, but at both stations the maximum Pseudocalanus numbers occurred in November. At Kincardine, Centropages and Pseudocalanus were abundant only in November and December 1982. Temora and Oithona showed intermittent peaks of abundance throughout the year. Mixed Group Of the four taxa in tl.is group, only Neomvsis and the rotifers will be considered here. Harpacticid copepods are predominantly benthic in habit, and were present in samples mainly as a consequence of resuspension. by definition identified, Although, in this study, the mixed cop~pod nauplii were not fully the majority were of harpacticid species. Neomysis occurrence was most frequent, and abundance highest, at S.Alloa. The mysid occurred only in low tide samples at Kincardine, was rare at Skinflats and absent from Culross samples. Only at S.Alloa did Neomysis occur during the early part of the year (Table B3;Fig C2a,b). At Fallin and all other sites, Neomysis appeared only from May-July onwards, with maximum abundances occurring at most sites in September. Rotifera (predominantly Synchaeta sp. , but including freshwater species such as Keratella and Polyarthra ) occurred in high numbers at all stations (excep~ Culross) between December 1981 and February 1982. Highest abundances . were recorded at S.Alloa during this period, when numbers exceeded 300000 m-3 (Table B3). Rotifera occurred almost exclusively 69 um net fraction. in the Patchiness: spatial and temporal variation in abundance and distribution on the scale of sampling Spatial variation The position of the buoys used to mark the limits of the sampling grid was checked, using a hand-bearing compass, during low tide on the day following sampling. Vithin the limits of resolution of the method, the grid was found to be approximately 120m square and oriented N-S E-V. E.affinis, Polydora larvae, and Acartia clausi were found to be sufficiently numerous in the approximately modelled; 80 1 samples for their distribution to be these groups, together with total number of taxa, salinity and temperature, were contoured using computer routines supplied by the GINO SURF package. The resulting plots are rather idealised, since each sample is treated as a single point rather than as a segment of a transect. They nonetheless serve to give some indication of the presence and dimensions of plankton patches in the littoral zone. In interpreting these contour plots, it should be borne in mind that the adjacent shoreline runs N-S , and that therefore the horizontal axis of the plots is parallel to the shore. Both salinity and temperature display a distinct front shore (Fig.1.13e,f) parallel' to the Beyond 80 m from the inshore edge of the grid, both variables were relatively constant at >26%0 and 11.5 deg.C respectively. Moving inshore, salinity decreased rapidly to 1~%o over a distance of 20m, and temperature increased to 14.0 deg.C. Vithin 40m of the westerly edge of the grid, salinity had fallen to 16%0, but with some suggestion low-salinity that the water was bounded to the south by a wedge of higher-salinity water. Since sampling was conducted in about 1.5 m of water, and sample bottles were immersed to a depth of 50 cm, it is unlikely that this pattern could be attributed simply to a shallow layer of low-salinity water overlying more saline water. The number of taxa present (Fig.1.13d) was reduced within the front, increasing both inshore and, to a greater extent, offshore. The three taxa represented have been contoured in numbers/100l, differing patterns of distribution. range of abundance (20-60/1001); and showed Polydora larvae showed a relatively small the contours indicated patch sizes of between 30 and 100m radius (Fig.1.13c), with parts of up to four patches present within the grid. One patch appeared to be located within the front itself. In contrast, E.affinis ranged in abundance from less than 5 to more than 55 per 100 1, and the main patch (Fig.1.13a) did not appear to cross the front. This patch had dimensions of 60-100m, and was oblate in a N-S direction. Although E.affinis is generally associated with lower-salinity instance the main concentration water, in this of numbers was on the high salinity side of the front. A.claus! displayed yet another pattern distribution. Numbers were at a minimum of about 50/1001 within the front. To either side of the front, patches of 40-100m diameter, with up to five times this minimum had developed. Substantial numbers were therefore associated with both cooler, high-salinity water and with warmer, low-salinity water. E.affinis A.clausi No. of tau ]: .. •... .. iii w c iii C Distance South(m) Figure 1.13 Small-scale spatial variation in zooplankton distribution, salinity, and temperature within a 120m square grid at Skinflats. Zooplankton abundance contoured in nos./1001. Temporal variation In a series of 8 consecutive 5001 samples taken at Dunmore on 3.3.83, numbers of E.affinis ranged from 137 m-3 to 909 m-3, with an arithmetic mean of 496 m-3. The maximum abundance occurred in the middle of the sample series, with numbers rising and falling more or less monotonically on either side. The 95% confidence interval for a single sample (expressed as a percentage of the mean was calculated using the approximation: C.l •• [antilog (y+l- 2s)] x 100 antilog y (Gagnon and Lacroix, 1982) where s - standard deviation of the log-transformed values y - geometric mean This gave limits of 29-347% of the mena, and indicated that abundances in samples taken over longer time intervals would need to differ by a factor of 3.5 or more to be considered significantly different. Eurytemora affinis: field observations Effects of preservation on length A comparison between the length distributions and unpreserved female E.affinis of subsamples of preserved indicated that Steedman's solution had no measurable effect on cephalothorax length. Consequently, no correction was made to the lengths recorded from preserved specimens from the field survey. Variation in length between tides and stations In order to simplify the process of obtaining stage-specific for E.affinis length data throughout the year, it was necessary to establish whether samples from a single station and tidal state could be considered representative distribution of the upper estuary as a whole. To this end, the size of male and female adults was plotted for Fallin, S.Alloa and Dunmore, on high and low tides, on consecutive spring and neap tides (17.5.82,24.5.82,31.5.82). On 17.5.82 there was no verall difference in size distribution between stations or tides (Fig.1.14), although the modal length of males in the low tide Dunmore sample was greater than at the up-estuary stations. The modal length of males ~~s consistently less thall females. On 24.5.82 and 31.5.82 , there was again no obvious pattern of difference ht It . Lt ht Fa S.A. 17.5.82 o .. ' I I. 'r, . LI _.LII'L.___ !. M 1" 2t..5. B2 31.5.82 Figure 1.14 Size-frequency histograms of male and female adult E.affinis collected on high and low tides at Fallin, S.Alloa and Dunmore on 17, 24 and 31 Kay 1982 Table "7( Mean cephalothorax length of c6 female E. affinis collected at HT S.Alloa on 18 dates Length (mm) standard error mean n 0.010 17 0.007 0.015 0.011 0.010 0.010 0.008 30 20 0.008 0.010 ,50 20 0.693 0.007 30 0.9510.95' 0.905 0.01.0 20 0.011 9 0.009 zo 3.11. 8? 16.11.82 0.807 0.009 20 0.793 0.014 10 22.11.82 1,5.12.82 0.769 0.853 0.e48 0.008 0.006 30 :30 )0 Date '<3.2.82 0.836 0.841 0.898 11.3.82 2.4.82 0.882 0.842 10.5.82 17 •.5.82 24.5.82 0.736 0.719 0.712 0.694 11.12.81 12.1.82 .: :31.5. 8? 8.7.82 6.9.82 13·9.22 2').9.82 23.12.82 20 30 30 ,50 0.018 60 o ~ I .. ~ o I .. co 9 r-, o I \00_ oI .2.3 - \ '2..' IS' 8'.2.. ''i?~ \2, 2. '2.' II • 'is' ~ • i,~ I. III - lb'" '%,,;l <?l. '?>'1I- ;to· C\- ~1 s s .... co . 0 \'?>-9-i.:t. " 0'" -lIS - r e " • ." -" .... ()-q'i;L 11-4G1 "'.-1 ~~ CI)~ - '6'l·g_t .... GI '" (I) QI S GI11-4 • 2> \-s - rsz fIl ....... =' ~GI lIS 000000 as co 11-4 .... .2..u·5·~.2. 0 e 0 fIl E IISOOO 1-1 QI bO~ \l-S·~.l. .a o 0 ... GI fIl .... of"4 .... ..c:o - IO-S-~.:l ~ 0_ e GI =' 0 fI.I GI fI.I C'fI.I QI I1S :l.. - 4 . <6), 1-1 ..... ftI 11-400 ..... .... I GlGI NN< of"4 of"4 CIl{l)CIl ftI II'l .... ....• I(':)'%'~ .a 1• GI 3- 2.. ~l. 1-1 =' bO ra.. 12·1· 61 '31 . "0 o·ct , 'I ~ ~i.J 0" 0'-;' 0'(" ~ C'S ~ ~ ~ o·<t 0 { tuu .' o'} o·'t,.. 0'1 0 J F M A M (6 ~ I J J lengths A S 0 N D 1981-2 Figure 1.15b Mean cephalothorax lengths of adult female E.affinis collected on 18 dates at S.Alloa 62 1 ~ v ~ .,' .. ~t ~ o·~ b) et et ~ 0 i '3 ':t o_% :~ ~o_o 0_0_0-- __/o 0- _o_ "'~ 0--0 . 0-0. ~o~ 0-0 . ---0---0 1'.)14- _0 _0- o---o--o~o o o~o------- --0...,) o o ---o----o--------o~---o ___ Figure 1.16 0---0 ,,~ 0_0 ______ 0----0-0 Nt Hean cephalothorax lengths of all developmental stages of E.affinis collected on 9 dates at S.Alloa 6) ..•• ... • -. N 00 Cl .... N ON ....ON~NNN~ ....~N~~ ....O.O ... "'O.O.ON~~O~O~O~ONON"'."'NO."'.'" "'O"'O"'ONNNO~O~O.O~o~o~o~oooo~o • ~ • ,., ... .... N 'tI 0 g, 0000000000000000000000000000 CI\ re 00 • g, 0 ... ~N~"'ON~"''''N",.~~oo~ •• NCI\~~~CI\~.~. ... OO.O.ON~~ONO~ON"'~O"'O"'O~OCl\"'~'" "'O"'O"'ONNNO~O~O.O~O~O~O~O~O~O U \0 ••••••••••••••••••• I' ...0000000000000000000000000000 'tI ........... r:l •• • • • • • • 00 N • _ ~N~N.MON~~O~~~~~~~._~~~~~.~~ CI\ Cl\O~o~o",o~o~o~O~O~ONO~OOOOooo", OO"'O"'ONONO~O~O.O~o~o.o~OCl\O~O ... 'tI Go ,. o :I" re aa .... •••• •••••••••••••••••••••••••••• 0000000000000000000000000000 0 N o. 00 -... .......< ~ "'N"'N"'N.~N~~.CI\.CI\~"'.O"'NCI\O~~~N. OO~O~OCl\O~O~O~O~O.ON"'~OCl\OCl\O~O ",o"'O"'O"'ONONONO~O.O~o~o~o~o~o 00 0000000000000000000000000000 0 •. ...... • ""Ill U ·. . . . . . . . . . . . . . . . . . . . . . . . . . . N 00 ~ ,Q a • • ....... .... ~ •• ...• • • ~NMNNN~M~NMN_~ •• ~~~~~~~~.ON. Cl\O~O~OCl\ONO~OCl\O~O"'O.ONO~"'CI\"'.O OO"'O"'O"'ONONONO~O.O.o~o~o~o~o . 0000000000000000000000000000 Go • 11'1 • II III ........ Q N • • N 0000000000000000000000000000 ~'tI ,a .............. N~~N~N_M •• ~.~~M.O~~""~""O.NON Cl\ONO~OCl\O.O~O.ONOOO"''''CI\'''OO.'''CI\''' oO~O~O~ONOMOMO.O~O~o~o~o.o~o ·. . . . . . . . . . . . . . . . . . . . . . . . . . . N ..... MCI' 00 ",1:1 N ~"'~NCI\ •• ~ •• oo~.~N~N~~.NN~CI\.~~. OO~O~O"'O~O~O~O.O~O~"'~"'.OCl\"'o", "'O"'O"'ONONO~O~O.O~O~O~O~ooooooo ~ 0000000000000000000000000000 0 • ,a •• ...o • ...... • • • • • • • • • • • • • • • • • • • • • • • • t- • • II N • - ~"'OO"'~N~N.~.~"'~O~~~~"'~N~~CI\.OO OONO~OOO~ONO~O~O.O."'''''''NO~O~''' ... "'O"'O"'ONONO~O~O.O~O~O.o~oooo~o ,a • ... a ..... u. Go .... N · . . . . .. . . . . . . . . . . . . . . . . . . . . . 0000000000000000000000000000 re ISII'I · ........ - •..... ... 1:0 "'~N"'ON.NCI\~.~~~~"'~OOO.~~CI\~"'OO~ N Oo",o~ooo~O"'O~O."'CI\O"''''.'''CI\O~'''CI\O ... "'O"'O"'ONONO~O~O~O.O~O~O~O.O~O r(' • • • • • • -. •• • • t- • • • • • • • • • • • • • • • ... ...0000000000000000000000000000 ...• ,Q • to • Cl' • ... ...N a IS ~ a • a ~ ~ ...N ~ • .... ~ • ~ .... ~ • ~ Cl Cl U U U U U U U U III 64 • in female length between tides and stations, but again some indication that the modal length of males was greater at Dunmore. On the basis of the above observations, S.Alloa high tide samples were selected as the source of specimens for biometric and age-structure evaluation. Mean female c6 cephalothorax (Table 1.7;Fig.1.1Sa,b), length was determined for 18 dates and mean length of all stages determined for 9 dates (Table 1.9;Fig.1.16a,b). Female length distribution (Fig.1.1Sa) was too irregular to permit the discernment of multiple generations. Both length frequency and mean length (Fig.1.1Sb) displayed a bimodal temporal distribution, with peaks of 0.898mm on 3.2.82 and 0.9S2mm on 13.9.82. Mean length fell to 0.769mm on 22.11.82 before .returning in December to levels comparable with the same period in 1981. Minimum mean length was observed in May and July samples; these were, at 0.693mm and 0.694mm respectively, some 27% less than the maximum. The annual variation in lengths of other stages followed a similar pattern, which was most apparent in cS and c6 and increasingly damped in earlier stages as variations fell within the limit of precision of measurement (Table 1.7;Fig.1.16a,b). A summer minimum was still evident for n6 , however. C6 females were consistently larger than other stages. For both cS and c6, females were always larger than males. There was a degree of overlap between the lengths of c6 males and cS females. Abundance:upper estuary The highest recorded abundances of E.affinis were at Fallin (exceeding 250000 m-3 on 24.5.82 and 31.5.82) and Dunmore (179796 m-3 on 2.4.82) (Table 1.8). Maximum abundance at S.Alloa was 96280 m-3 on 24.5.82 and at HIGH TIDE • • • • • • • • • • • •• • • • • • • • • •• cd...n-':TJN...JW (o~<D""'.I'I ~'8'_n,:;:J'~(_~'~.f)::l""'lI ••••• • • • •••• 0:'_"O::;:K"J;~I(~tr)::l<"~.....{JI 1::1:".' '-'1r.:::u:.J1IS;1 tno <.rlC'1(J'lI!J Cl:;) l::rZII:;:II:::::'-'::'1::a::11::r~ r.:;r r:;:a:II::r~'::rC'OC:r.:i:rlS;r.l:"IS) """.""! '1""1"'" Cl m "..... > ." --n il Z :z CJ) > :I (_ <.... .. ' ::;,. ~ (j~i ~ l> ~-) 0 0 C I~ -0 Ci Vl m IJ Cl 0 ....oj m a (I' Fig. 1.17 a Abundance of 1:. affinis I 66 Fallin high tide tJ z }> C -0 t: I:i,) N W -Cl- ut , , 11')0 ".j I (,oJ ~ ,_II I 1])0 I I ,N iJ.J , ,..J:. (.J1 0') I Cl m • .:..... >- II -"- .." 1-1 :: U) >" r- > r ~ z r -:r -. ,_ -I '-I _,.' ,_ :~s- G' I> ""J :k- (") Cl Cl r- m r:-..: I=i "1J '-' -l ':() - 0 Cl ....... Cl -I m (.1] ~ Fig. 1.17 b Abundance of ~ affinis 67 I Fallin low tide Cl -,. .. .-],. C::: 'iJ r- 1-4 HIGH TIDE •C..•:.n-Vlt'J • • • •"'Rv • •1:C1~(C.'(J1 • • • •• • • • • • • • • •• ••••• • •••••• '=~J1@"_n0(n:s:J(r;:5:I""'~{'.1'I @"_n0::..r;::i:Kr;:5:I(r;:~()t.:S:)'J1 I:J:_, ,:_11r~l U1 0 .:.n1Sl (J1~. r,:.n'!:I .:::-= u:::r'::::'I:::II:J:_'!:II:::.:::JO.!:l~ ""1""'" J::r~ .:;:r.:J:.l:::1 O:::II~'I:::m~ """"'1'1 Cl m • > (-1 ""- ....... Z t-I (.J) :z (.tJ > •> ~ ...... 0 r r > .._ ~ > (.1) ,=, ...,.. ·0 .. 1 I> :z r, » c:::J C l> 0 C m T.) r- "'0 T.) ~ 0 Vl Cl --f m u"':, Cl Fig. 1.18 a Abundance of !:. affiniscSouth 68 Alloa high tide 1~ - N (J,.) ~ t.l' ".J I (u I _". , i"Jp (...I, N I (u ...::.. , , CTJ, (J1 '-' m ~ :>"1l -'"T1 11 Z Ul :J: i.J) • > r > r 0 :I > r '- ~ '-... . ' > (J) ~. "".l :~ \J Cl 0 r m -0 c ,~ -- -0 -4 0 (f) CJ -4 m (/) CJ Fig. 1.18 b Abundanceof !:. affinis ,South Alloa low tide Cl - :l> c: ""IJ r ~ .. ...... HIGH TIDE • • • • • • • I~"~n - oJ)N "-lW I I ('CI~ ,a • • I I • I • • I • • a (£)(,..111~!IQ"_rI'~';'~Ul:Dt.~'J1 I:;:'I~..rl r~":"" 1Stc.n~ c.n~1 Lno I ,::ca l:=r.::a I:J 1:::''1::tI::.=I~r'::;:IISt """""'11",,·,""1 • a • a • • • I a ••• '::':~I1,:S>::,,I):D tl1:D<'Il:S1I~.~ I!:I:..~ Gr.:::.o GlSt!!:r.::;:! ~r.:::.1S) '=' m :~ .:_ - "" il Z ...... (j) :::I Cl C > :z :r Cl ...,. ...... ;::u m ,_ , ' -t.,' ":;...-:l t- (./') 0 » c (') Cl 'i.J m "T) ~ Vl a - CJ ..,.. .:- -I m 1;)1 0 Fig. 1.19 a Abundance of !.:. affiriislDunllore high tide 70 0 :z > c: -u r- - l:t' - 1"-) (a.) ~ (,11 In 1=1 I , 1",) (a.) 1 ~ f.J1 I ,In , I::s:. , 1"-.' ('-' ..to. (." rn I • Cl m i_ > ""- -- '"T1 1-1 (JJ -... Cl >- C ...... ._.. I::> ;u <- r Z :l m -I .~ ::..: (_..) e· ""l ::kc: n .::, '"'0 m '"'0 Cl .::. 0 z ) ... r -I c '"U r Cl ,~t) ..... Cl ._ .:- ~ In (11 0 .'r I Fig. 1.19b Abundance of !:. affinislDunaore 11 low tide ID - N W ~ en -4 , en OJ ,lSI - ,...,J IJJ ,Jl,. (J1 C') I Cl m • '-1 >- 11 -" It :2 ...... zr U'J " z ...... > n >- :r AI c_ ...... z m CJ :r: ~ ~ .. >(J) ' ~ "1 0 o- ('") z ,= r 0 f/) (,) 0 o - >- c '0 m - "'lJ r" ""0 -I ,.., Cl >-4 -I m (f., Cl Fig. 1.20 a Abundanceof !:. affinislKinoardine 72 high tide In , IS) , , ,~ (.1'1 , ,...,J (,1,,) ,, O":IIS) , , ~, N W U1 Cl) Cl m c.... • ." -" :>11 Z ..... r.n ::! ;w::: ..... > z n :~ ..,. ..... :::u 0 ..... - :z m l ••. r '-t -4 > .:'(1 t· ...-,J :1:- rJ 1= "l) 0 Ct m -0 r .:;t _. -4 Cl .J) - Cl ...... -4 m (iJ 0 Fig. 1.20 b Abundance of ~ affinislKincardine low tide 13 0 .- >c: '"IJ r ~ ,z,1 - N (.0 ~ U1 ...tl. (.11 (T")O • 1 "oJ ~ 1 (.11 1 P) Cl m ~ • > 1:- - i1 " - i1 - t-I ~ en 1'.1) ." -T" > ~ Z ::: r > (...., (J) ." -f ::I: -i ,~ ." > (.,I"J ~ 4 > n Cl 0 C m -I ,',), - 0 C ·U 1:1 r a ._>-,. r 1:1 Cl CJ ._ .:- ~ -I m en Cl Fig. 1.21 Abundance or !:. aff1nis.Sk1nf1ats 74 high tide ,....l I (I,) , -4 (,-'1 , ,11) , IS) , 1',) W ~ (J'J , IJ) , Cl m • > 11 ....... -"'T1 11 ...... .... _,. U'J n C > r ::r ::l'J Cl t.fJ <- ::I: (J) -of ~ > I> ..~ :!:- ("") Cl 0 r m I'j) Cl c: ':J 0 - .::.. ):- c:: "tI r '"0 - '"0 -I ....... CJ' - ..... ._ -I m (1'') 0 Fig. 1.22 Abundanceof E.!. aff1nislCulrols 75 high tide Table 1.8 Annual variation in mean abundance of E.affinis (all stages, nos. per cubic metre) at Fallin, S.Alloa and Dunmore on high and low tides, 1982 Oate. Tide. .n. :t.2.81 S HT 14-67l 15.12..81 N .' 12.1.82 s 1.9.1.. e2 l' -' 27.1.82 3.2.82 11.3.82 18.3.82 26.3.82 2.4.82 10.5·82 17 •.5.82 24.5.82 31.5.82 8.7.82 6.9.82 13.9.82 20.9.82 S 27.9.82 N 3.11.82 ~.11.e2 16.11.82 22.11.82 1.5.12.82 23.12.82 S N s N S N S N s N s .... Q N S N s 6822 122 186 727 LT HI '291 007) 495) 114 36 0 26 32 59 88 .82 307 2720.5 76 24279 95+ 139,503 59888 98519 266032 5499 250741 132.561 25921 6 71 11 17 69 42 23 499 5+ 8 71 176 N S N 51 0 14517 2223 4178 14145 3976' 355+ 4981 14108 17682 63385 49388 72280 4.5348 201 128 1642 333 3296 682 708.5 3193 1,541 2206 76 l<incdrdine Dunmore S .Al1oa fall in L! 673 1397 90 260 599 51 465 5+.536 6868 18609 16629 96280 70390 LT HI' 1235 261 2709 6530 1975 1007 251 1174 771 1550 399 2615 1793 6103 1658 12.53 12013 12258 179796 8880 358 26976 43620 10999 121389 6462 9.5063 9:fl 65 45 128 38 32 31 261 14 1594 51 0 39 18 19 10,56 6815 2440 1350 998 1470 48 312 358 376 ~rr 45 3.51 LT .518 597 1674- 32 492 57 133 114 382 418 4153 513 1921 361 390 .5302 1129 908 7r::A 48e.9 336 1263 1843 19922 7499 42 0 2 :fo 10 1)41 3977 1008e :,>0 2116 422 97 26 182 419 288 31 ·40C 30 269 639 280 169 1670 Kincardine was 19922 m-3 on the same date. At Fallin, high tide abundances exceeded low tide abundances the year, while at S.Alloa, Dunmore and Kincardine generally throughout low tide abundances exceeded high tide abundances. At all stations, abundance declined dramatically (Figs.1.17-1.22), recovering The spring population between July and September (least notably at Fallin) in November. maximum coincided with the period of minimum size noted above, and the late summer decline with the period of maximum size. Naupliar, facilitate copepodite and adult abundances were plotted on log scales to comparisons (Figs.l.17-1.22). of trends between these age groups and between stations The same seasonal trend was evident at all stations, but more striking at each station was the extent to which the age groups reflected the ~ same fluctuations. The fluctuations were, however, only comparable in the broadest sense between stations. The figures suggest that sampling variability and/or small-scale spatial variabilty contribute an important element of noise to abundance estimates. Age structure The percentage distribution of stages within samples was calculated Fallin, Dunmore and S.Alloa (Figs.1.23-1.25). between S.Alloa and Dunmore age structures for Vhilst there was some consistency prior to April 1982 (Figs.1.24,1.25), there was no evidence of either consistent age structure over short time periods or of systematic change in age structure on a seasonal basis. It is thus unlikely that structure was determined by overall synchrony of reproduction in the population (which might have led to the development of identifiable cohorts) or that there was a strong influence of age- or densitydependent mortality in a continously-reproducing population (which might have led to a constant decline in relative abundance with age). It is likely that reproductive processes are patch-dependent and that the sampling method integrates the information from several patches in an uncontrolled The stage-frequency manner. histograms did, however, emphasise the presence of nauplii in at least some samples on all sampling dates, showing that E.affinis breeds throughout the year. 78 I (j) ... UJ N .... 0 ~ (j) I ... o.tI ..... :r (j) ... W W 0 N 0 I- I ... ..J N .... :r tD N c;. c;. Cl) CV Ci) (!;) (;i) (;i) fS) c;. ry, .:.0 r-- <D I() .,. C"'lN ... fS)~fS)fS)fS)c!)CSlCl)(!;)fS)fS) IS) cr, (I) r-- (j) If') .,. C"'lN .... ... .... N (0 ... (!;)(S)CI)(!;)fS)fS)CSlCl)Ci)fS)fS) .,.~CDQ)r--.(j)I()""C"'lN- • (i I- 00 ::.: 0 ..J "" N C!) ~ ~o fS) I!) fS) CO) CDCl> r--. (.0 00 C!j C) I!) 1('",'" ("') N -'" N UJ 0 N I C!j (5) 1.0 l- (0 ;:,t 0 <D C - I' ~ ~ ~ w w!.. < IJ. .r .r UI N 9 LU .... co :r ~ ..... :r .r I- :> Cl ..J N Co ';" 03: C!i:, C!:I N IS) G) fS) fS) (l;) IS) Qcno:;r'(DIf)~MN- UJ ... Cl 0 I- co I- :r .r .... ::t IS)Q)O)r--.(DII1~MN- w .r .r N co (.!) N fS)m~(l;)(!)(!)CS)fS)d:l1I)1S) to .r W 0 .... I- :> 0 ..J (!)m(!)fS)(l;)IS)G)(l;)fS)(l;)1S) W ... N N 1S)0000)r--.WIO~MN- N CI)(S)OfS)II)(!)CS)(S)(!)CI)ISJ 1S)(T.lQ)r--.(DIn~C'?N- UJ ·0 (0 (0 yo yo N ..... l- (0 :r UJ 0 N ....I- (0 :la 0 (.!) t-1 t'" :I: ..J t'" N ~(s)~~~~G~~~~ I!)CSl~~~~G~~~~ ~c:nCO r-- COIc:nCOr--IDIIJ..,.MN- (~IIi"," M N .... . iii M ... . Ui ,.~ 't CD CD 1( ... ... N N CD CD ... ... LL UJ Cl ..... ..... ,~ .... :I: :r N (!) IS) ~'(l) (l) IS) lSI m m (l) IS) ~O?CO~CDUI'ltMN- UJ 0 CD CD yo t'" N .... l- U) :r ... (.!) ...... :x: w .... 0 I- :la 0 ..J ID ::t ,... ID .... t'" :I: N Cl. ~ -< (0 fJ) yo Z N .N (S)(S)(S)I!i)I!i)IS)G(s)~(s)~ 1!i)(S)I!i)IS)I!i)IS)GI!i)I!i)IS)IS) ~O')COr--(DIIi","MN"" ~O')COr--IDI()""MN- . _, 0 UI ... ~c:nCOr--IDIn""MN"" COIc:nCOI"-IDIIJ..,.MN- t'" N .... I- 0 1!i)(S)l!i)l!i)ml!i)(g(S)1!i)1!i)1S) ~CSl~~~IS)G~~1!i)1S) fJ:. UJ UJ N N N (0 . co iii r-- lD , N " t!;) 10 r-• lOCO ..: ... ... u. 111 U. -e UJ UJ N Cl ..... ..... ID :x: ... (!) ...... ::t UJ Cl .... I- > 0 ..J C .. ::z: ID tSI(l)COI"-IDUI .... MN- .. .... :x: (!) P'1g. 1,.23 b st&ge-f.requancy dl.tributlon.Fall1n 80 _, UJ N %: ID < (J) ... 0 z N N ....tSI(l)COt--IDUI ....MN- <S>(l)COI"-IDIn .... MN- ... ID . IS)(S)IS) IS) IS)IS)CS) IS) IS) IS) IS) (Sl1S)G)G)G)IS)CS)IS)G)G)1S) ... Q. r. mlSlm(l)lS)lS)CS)mmlS)lS) 10 N .... ..... N 10 IS) IS) IS) IS)mlS)(g IS) IS) IS) IS) tSI(l)COI"-IDIn .... MN- w to to ~ ~ N ....~ 0 to :r ....:r (!J w ....l- (SImco I'-WI()","MN 1S><S>1S>1S>1S>1S>~1S>1S>1S>t'S) .... -c <0 0 ~ U) z ~CDo)I'-WIn"'"MN N 0.. -c <0 I./) 0 z r N N N N ..J l: D.. ~ ...J (!;)<S>(!;)(!;)(!;)IS>~(!;)(!;)(!;)IS> N ...J I: 0 ~ LU w to ~ ~ ~ N 0 i.D to -" .... . (I) IS> ~, c:;. c:;. 1S>(s>1S>1S>1S>1S>~1S>1S>1S>1S> I!j I!j ~ c=' 0 C;, IS' (S)mc,)I'-Win"," ("'". ,,~.- (s)CPCOI'-WI()","MN- N N e-, N -, Ol (SI N (0 (0 ~ ... ... u. LU ..J (J) (D ID -< ... ot- .... u. LU w (0 I- (0 ... 0 ::. ... Cl 0.. z:: < (J) M 0 Z ...J ... CS)(S)CS)CS)CS) - <0 ~ ~ CD ~ W ....~ .... ::t U) ~ i.D r w ....I0 0 CD ...J r N • CS)(S)t'S) III CS) CS)(g IS> CS) III IS> t'S)(S)t'S)CS)t'S)t'S)(gCS)CS)t'S)1S) (SICPCI)I'-WI() ...MN N ~ oN N CS)CI)o)I'-WIn...MN- (SICI)COI'-WI()..-MN- CD :r t'S)(S>t'S)t'S)IS>t'S)~t'S)t'S)t'S)t'S) CS)(S>t'S)IS>t'S)IS)(gt'S)t'S)t'S)t'S) ('~ ... N ....l0 ~ N ... 0 ...J CS)(S)CS)CS)CS)cs)(s)IS>CS)CS)CiJ ISH!) r:f} t... (D In ~ M ('J - IS> w ~ ...J :to ~ CD 0 .[., to N Cl CS)(S)CS)cs)1S> (l;)Q)COt--(oIO~(,)N- W '".-4 ....~ N .... ....::t 0 Z (SIQ)Cf)t--lDln~(,)N- N ..... I:r lD ID W Cl (/) 1S>(s)cs)IS>IS>cs)~cs)(s)cs)1S> IS> (S) CS) CS) ~ 'IS)(s) IS> IS> IS> IS> ~Q)COt~IDIO~(,)N- 0 a. z:: -c N N w N ...J N N CS)CI)COI'-WIt")","MN- .... - 0) 0) ... (0 ..."• ... U. M ". (T) .. (0 to <0( u. N LU .... 0 W Cl M to- (0 ::t ... .... :r (.!) ~ ::. 0 ...J IS>(S) CS)(S) IS> IS> (SIOH» t--(D 10~ M N - r ... ~ .... ::t (.!) ... (S)tI)CS)IS>IS>(S)(S)(S)(S)1S> (l;)Q)O)t--WIO,,-C'?N- ... (l;)a)(Dt--WU1~MN- Fig. 1.2) c stage-frequency distributioDIFallin 81 N W ....ICl ... ::. 0 ...J .. (D N N I (S)(S)t'S)t'S)t'S)t'S)CS)tI)t'S)tI)lS) N (0 ::t N N CS)(S)CS)t'S)CS) .... Cl (0 .. ... < W N iD (0 M (S)(S)t'S)CS)tI)(!)(S)IS>(!)t'S)1S) (SIQ)O)t--IDIt")~(')N- .... UJ <0 <0 .,.. .,.. UJ N ....0 l- I- <0 :r ..... <0 ::s .,.. (.!) N .... 0 .,.. 0 ..J :t N (s)<Slc!)(s)(s)C!)~CS)CS)cs)c!) 1SI0?COf"-.<OIf')-.rMN- N (s)<Slc!)cs)c!)cs)(S)CS)(S)(S)C!) cs)O?COf"-.<o&n-.rMN_ N M ('J "- N iii 4( u, tu -J a, ID r.o .r .r tu -J n, N 1:: N 1:: < ID -c U) ID 0 .r 0 ~ U) Z Z N N (!)cs)~I!>~c!)C!)~~~~ C!)CS)~mc!)~(S)c!)~c!)Q (!;lQ)OH"IDIDTMN- CS)rn(3Jr--r.oln~MN- UJ .... l- 0 :r ....:J: (.!) to to .,.. .,.. N to .,.. UJ N .... 0 I- to ::. .,.. 0 ..J N N (S)(S)IS)tS)tS)(S)(S)(S)(S)(S)CS) cs)o)COf"-.<o&n"-MN- C!;)OC!;)tS)C!)I!)(S)(S)tS)tS)IS) cs)o)COf"-.WIf')-.rMN- ...• N 'XI , N r.o 0"- -c: W .r ~ u iJJ ....:::. t- ::r (!) ..... :r N r.o LlJ -J Q. 1:: < (0 0 .r U) .r z N N C;:. CS) c;:, CS) (!) IS) CS) (!;) (!;) IS) CS) a;>Q)wr--WIDTMN- N IS)C!.oCS)ro~CS)C!)IS)G:Jm~ C!)Q)(3Jt'WIn"ll'"MN- Fig. 1,2) d St&ge-fl'equenc1 di.tributioa.Fa.lliD 82 UI CD CO T- TUJ N 0 ..... l- .... 0 I- CD Cl (.!) ..... T- ::r ....::r I.D N ~ ID I- ,.. Cl _J N .~<S)cs;.IS)CS)IS>(gCS)IS)IS)CS> (S)Q)CX)t--tolf'l~MN"- (S)cn(X)t--tolll~MN"- UI ....0 N ~<S)~~(S)~(gCS)CS)CS)CS> ~<S)CS)~r.;)CS>(gIS)~~CS> .... .... N N T- CD :::I: .... _J CD N .... l0 CD ~ :::I: UI N CD CS)<!:,cs;.CS) cs;.(S).:g (S)Q)COt--toIll.,. MN..- C>lmo;. r, C!:. cs;. ID iii'" cs>rs, M N- . ..,.. (\I , r<_. , N M 1'"N ID «: ~ (J) UI N Cl ~ ::t: .,. l!) ...... ::t U) LU I- CD ::- .,. Cl _J -t- ::r ID I- .,. ~ t"., UJ .... 0 ....:::I: t!> \L' 0 't" _J r , N CS><S:lCS>CS>CS>CS>ISI(s)Cl)(S)CS> CS)Q)COr--IDIO"'MN- i!:'r.;,Qi!:'cs;.QGl~~~,~, ... CS)Q) 0;0 r- ID 1/1 ". .... ((I (~ - to CD ID T- T- .... .... l- (0 :::I: I.D UI 0 .... I- N ~ to UI Cl T- _J .... N N I- CD Cl .... _J N .N ~<S:l~~~CS>G~~~CS> (S)Q)(X)t--tolll~MN (S)Q)CO~tolf'l~MN'" . UI a .... )It .... ::r T- ~<S)~CS>CS>~(g~CS>~G> ~Q)(X)t--tolll~MN"" CD :::I: I.D N CS><S:l(s)CS>~CS><:!O)(s)~~G> N .... l- C ::t: >t- (0 N ...... fL' N Cl (s)cSl CO (s) CS> Cl)(g CS> CO.CS> CS> CS)Q)COr--IDIIi".MN- COcSlCOCO(!,)COCS)(S)CS>CS>1S) sn CO _t-- ID 10 ". M N - ID ....~ N (!,;I UJ 0 ~ ...:: N N .... tD N UJ 0 ..... CD ID .- M Ol co " M ~cSlcs)cs)cs)cs)Gcs)cs)CS>O .... CS)(T.lCO ~ CD If'l~ M N .... • , N ID -c ~ (I) LU N ....ICl ~ N UI .... 0 ID ::t: t!> .,. ...:r I- ID ::- .,. Cl _J N CS>cSl(3)CS>~CS>CS)CS>CS>CS>1S) cs;.mmt"-ID II? V" MN- . ID ID U) LU ....I- N Cl CD :r .,. .... :r (,!) Fig. 1.24 a Stage-frequency (s)cSl(S)CS>CS>CS>CS)CS>CS>~1S) CS)Q)W f'-WIDV" MN- diatributionlSouth 83 .,. LU 0 .... I- ::- Cl Al10a N ILl .,. _J N N CS>(s)(s)CS>(s)(s)(gCS>CS>CS>1S) CS)(l}(1Jr--WIr)..,.MN- ID .,. -e N (s)cSlCS>(3)(S)(S)CS)CS>CO~CS> (S)Q)ml"'"-WI/1..,.MN- i.O CD ~ L.U ~ w N 0 ..... ~ :r .... I.D ~ ~ so ..J ~ 0 ~ ::I: N ....0 i.O N (!j ~. (!j (!j t:· Cl:) co r-. a> U) (!j ~ a> Cl)a> If)..,. M N ~ (!j Cl)~. (!j ~cr:.CO 0 r-. (!j Cl)~ a> G;I a> ~ W ~"')...,. c? N ..... . b-' ., (Y• " In 'f' r·., ID .... t.,: 1tLU Cl .... N I.D 1tN W 0 I- ID ::I: l') ..... 1t- :r .... ~ :»- ID 0 1t- ..J N (tI cSl (;;. 0-;' - C;:, 0:' c;:, 0 C>l lSI(!jm (!jC>l .r-: (J) 0cS;o,:s;, c;:. m m~ (!j(!j~ CD ~CT)O)r--(("In-..r(,,)N_ 10 'f' C') N - L.U U) W 'f" ~ ....0 l- N :r ..... U) t.!) L.U 0 ..... N ::. U) IJ~I .. L.U I- I- 'f" w :r: .... ::I: t.!) 0 ::I: l'J 0 ..... ..J 'f" ~ ~ 0 ~ ~. Cl)(S)~ et)a> (!j(S) et)O(!j(!j(!j(!j~cg(!jet)(S) ..... (S;)<nQ)~U)II")"'MN ..... . ..~ §: ...; (1") u: 0 .,.. z r.j N N QCI:)CO~WIf)"'MN ': LiJ ...J (!jOCl)(!;)(!;)C»~(!;)(!;)(!;)C» o 0 (S;)<nQ)~U)If)"'MN_ c:;;.CI:)CO~(J)If')""MN- (Ij 0 (!j(!j~ 0 0 ~. 0:;;. . U1 0) r-. , r.o N " In r-. ~ U) -< 'f" f.I) U! Cl - ..... N U) ::I: ....:r: (.!) or UJ 0 .... I> 0 ..J N C!.:l~(!j(!j(!j(S)~(!j(!j(!jQ e;. CTI0:> to. ID In v- (") N - ID to ID (J) 1t- -< U) 1t- .... N W N 0 ..... I- U) or ID :t: (.!) .- r .j -<. I.;:; 0 or :z: (.I) ,... 1t- :r: Z .. N N Cl.)~(!j(!jmm~mCl.)(!j(S) m<nCD r.. (D In v- (") N- W ..J Cl. (!;)(S)(!j(!j(!jIS)~(!j(!j(!;;l1S) menmr--(DIf')-..rMN- Fig. 1.24 b Stage-frequency diatrlbution.South A110a . ( iii Iii Ii' mmo (!;;I m mlSl o:s:. m ~ l:>I en ID r-- (D iii v- (YIN - i 's. UJ Cl CD CD (0 r r r N ..... ._ CD :I: (J) ....... :t: . r UJ Cl W ._... N ._ ...... ..J '"'j C. ..... ._ u; :. .,. ....:t: (J) 0 .,.. ..J N N N UJ CD ::I .,. Cl .,.. N Cl (0 :. I.J:I ( r-T c;;)~c;;)c;;)c;;)c;;)~c;;)c;;)c;;)fS) C;;)cS>c;;)c;;)c;;)fS)~c;;)c;;)mfS) c;;)~c;;)c;;)mlS)~mc;;)c;;)1S) ... ~Q)(l)r--CDIt1""MN'" Q"'(l)r--CDI{)~MN'" . Cl) ~Q)Q)r--(OIf)~MN ~~c;. ... Q ~ ~ .. -.---,--,-.., c:. ..-1 ~~~ ~i'·' Cj C:' Cl (,.~- 0"::. CO r-.. \.L' 'T ..., N N r-. N 'Ol (!J ID N '< tJ) UJ .... lD CD CD .,. .... -< U) T- ~ W ... N W Cl ID ._.... Cl Cl to- :t: ..... Cl ..J ::I :x: .,. > t!) t- ID .... ::I ~I IS) IS) IS) (S) IS) CS) IS) IS) IS) IS) O? CO 1".10I() .... C'? N - UJ CS> 1S)tS)1S)1S)1S)1S)CS)1S)(S)(S)1S) ... ~ IJ) > O T- .... T- ..J N (S)(S)(S)~mm(S)(S) IS)(J)CDt'--IDID .... MN- (0 (0 (0 (0 r r r r (0 ::I ...:x: CD N N cs)CPCOI" 10 In .... MN- N .... ~ 0 UJ CJ (.!) N Cl:l N (J) r W CD :. 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'-'J <.D 'f" N tSl<S>tSltSltSltSltSltSltSlCl)tSl CS!O)(X)r--COIf)..,.MN_ N Cl)<s>tSltSlcs;.tSl~tSlcs;.tSll!:> 1Sl.:na. 1', (CJ 1Il'- M N- ~ ., , - N . C'? I' N ID :J 0 .... UJ N 0 ..... ~ :J: (!) ...... :r ID .... ::0 (D .... ~ N 0 UJ .... UJ UJ o ..... .. .... - lS)a:l lS)(S) UJ N :s ~ ::- u: Cl .J ..J :J: N N C'? • 0)' , . C'? CD =' '0 Fig. 1.25 a Stage-frequency dlatrlbJtloluDunaore a:l1S>(!)a:llS)lS)~(S)(S)(!)O ~ 17.' (1) 1'-. to 111 'f" ('I N - :s o ..... .... r: ........o C.D , (', UJ o ..... ~ :r o ..• UJ ....0 N a:l(S)lS)a:la:l(S)G) Cl)C]")Q)l'tolf)~MN_ 0) ... .... ::I: ..J :J: .... W :J: (!) .... :r C.D ..... u: N 1:1 (". a:l(s)a:la:la:la:l~a:llS)a:l1S) ~C]")rol'toll1~MN- W ~ u: .J a:l<S>tSltSltSl~~a:la:la:l1S) ~C]")rot~ r~IO~MN- ....Cl ~ to '" UJ ....Cl ~ N .. 'f" N M N 'f" CO N tSl~tSltSltSltSltSltSltSltSltSl Qo)COt-.COIf)'-MN.- (CJ N :r C.D ..... _J (0 UJ CD 0:0 ~ ~ UJ Cl N ....l-0 CD I 1.0 ..... (\I :::. 0:0 Cl ~ :J: .... I- .,.. ...J N c;;. ~ 13:' c;;. 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I- ID ::r .... ::J: (!o "t- N C!)(S)C!)C!)C!)C!)(S)C!)C!)C!)IS) Fig. 1.2,5 b Stage-frequency tl:)Q?Wf'WtnTMN- diatribut1ODlDunaore 88 N ...J :z: -< ILJ U'l ... O Z c'. N C!)(S)C!)(!i)C!)IS)(S)C!)(!i)C!)1S) ....tl:)(J)COf'WlnTMN- W 0.. • d~~d~dd~dd'(';j ClJt;TJO) I" W tnT ro'/ [oJ- w CD CD ... ... UJ N Cl ..... ~ :c: CD ... ....:r. U) ....~Cl N ::s 0 CD O~CI)o:or--WIO~MN ... ... UJ ... ~ ::I: rJ:.! ::s ... ..... N Cl CD :z:: c.D N 0 ,.- ..J N (!;)~(!;)(!;)(s)~G(S)G;)(S)O ISlCl)O) t-. W I(')~ M N .... .... CD N 0 .... ~ ... ..J N CJ~~~~~G(s)(s)(s)1S) UJ CD ('J r+r+r- (S)~G;)(S)(S)IS)G(!;)(s)(s)1S) (S)(7)O)t--WIO~MN"" ~ <S) Q lSI Cl) t.7.1 c;. ~ t~··u,:. -r--1 ,,-I ~. '..c;r··1 (,.".:;:, __ ~I I~I ,.'., ~I ..... (J) , t·. N N N "' UI ~ (D tl ::. "t- C. ill N Cl "t- :::l ... ;:I; UJ ," . Cl)IS)Cl) M N _ llJ c:o IS)G c:o (!;)c:o - - .---._-.-- W ... ... ... ... W Cl ...... W 0 N .... ~ CO ~ ..J CO ... ::I: N .s>CT)o:ot--COIn W 0 ...... 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UJ 0 (0 ~ ..,.. :> CD 0 _J "tN N (S)(S)(S)CI)CI)(l;l (l;l(l;lCl)(S) ttl (]) (D t... (D In V' M N - CI)(S)CI)CI)(l;l(S)QCI)Cl)(!;)l'!;) CI;lQ")())f'-oWIOV'MN- CI)(S)IS)l'!;)CI)IS)QIS)IS)Cl)1S) ISH]) ()) r-- Win'" ('t) N - ... ." Fig. 1.25 c Stage-frequency distributionlDun.ore 89 U) ~ UJ UJ 0 0 t- t- N ..... ..... U) :J: (.!) ..... ~ :I: U) ~ e ~ oJ N N c;)<S>c;)c;)CS)C!»~C!»C!»CS)CS) (!;)tSl(!;)CS)c;)CS)~c;)c;)c;)CS) (s)CT.lO)~(DIn"C"lN (S)cr;.Cl.I~WIn"C"lN'" .... N M N \. ('oj 10 to to ::> ..r- ..r- o UJ Cl N ..... ,_ UJ N D W :I: (.!) ..... ..r- :J: ..... t:> e oJ a:l~cs)IS)IS)CS)CS)1S)1S)1S)1S) IS) cS) CS) IS) (!.) C!» CS) IS) IS) IS)'IS) ~O)CD .....W In V" C'?N- ~(T.IO'J""'WIf')TC'?N- UJ U) (D ~ ~ N t- U) :J: (.!) ..... ~ :I: ..rN N 0 ..... W UJ 0 ..... t- ~ e oJ N U) ~ N N CS)(S)C!»CS)CS)CS)~CS)CS)CS)CS) C!»<S>C!»CS)C!»CS)~C!»C!»C!»CS) (s)CT.lQ)~(DIn"C"lN'" (S)cr;.o)~u)In"C"lN"" 'N .... CO \. N .... to f.D :;) ..... ..r- e UJ N 0 ..... UJ ...J "- Q. t- W :I: (.!) ..... ..r- :J: z: -c u: e ... VI Z N 1S)cS)1S)1S)CS)1S)(!,)1S)1S)1S)1S) r!;HTJCl) r- W In T C'?N - "IS)(S)IS)IS)IS)IS)~IS)IS)IS)(S) (S)(T.IOO..... WIf')TC'?N- Fig. 1.25 d Stage:-:frequeney diatrih1tionlDunllore 90 Multivariate analysis of field survey data Sample identifiers In order to avoid confusion with S.Alloa, Skinflats has been assigned the identifier G (for Grangemouth, Environmental an adjacent town). variables The following variables were used in analyses: Variable Distance from upper Shorthand identifier Transformation Dist LoglO Tide Dummy 4-state tidal limi t . . ' Tidal state (H,N etc) variable Date None, represented Date as decimal month Inorganic component Inor LoglO Org LoglO of suspended solids Organic component of suspended solids Organic percentage of %org (x as proportion) suspended solids Salinity Sal None Temperature Temp None Chlorophyll a ChI a LoglO Acid Ratio AR Phaeopigments Phae LoglO Freshwater discharge Disch None at upper tidal limit 91 Data on freshwater discharge was obtained from the Forth River Purification Board (FRPB 1983). Suspended solids values were recorded in mgll, and Chla in ug/l. The entire 1981/1982 data set was subdivided into logical categories for analysis. Subsets were extracted corresponding station, date(sampling to cycle) and tidal state. Station and date categories were subjected to DCA,TS and MDA analysis. Similar analyses were conducted for tidal state, but for tidal groups a further step was taken by projecting significant environmental the variables onto the ordination space defined by the first two discriminant functions in order to illustrate their relative magnitude and direction of influence in discriminating between groups. Accordingly, less emphasis will be placed on comparisons of DCA and TS analyses for tidal groups. Twinspan Analyses have been taken to the second (four groups) or third (eight groups) level of division. The convention has been adopted of referring to the groups thus defined in numerical sequence from left to right on two-way ordered tables and top to bottom on the corresponding dendrograms. No correspondence between TS groups of similar number in different categories is implied. On each dendrogram, tJI~ indicator species defined by Twinspan at each division have been shown using the shorthand identifiers given in Table 1.4. 92 Environmental data A certain number of samples have been excluded from DCA correlations with environmental data, and from HDA analysis, due to the incompleteness of the environmental data set. Correlations between DCA axis 1 and axis 2 sample scores and environmental variables are summarised for the various sample categories in Tables 1.12-1.14. For MDA, variables with a significant univariate between-groups 0' F-ratio for each sample category are shown in Table 1.10. Variables with the strongest pooled between-groups with scores on the first two discriminant correlations functions are given in Table 1.11a, with the sign of the correlation indicated. The percentage of variance accounted for by the first two functions, and the percentage of samples correctly reclassified by the linear discriminant solution, are given in Table 1.11b. For all HDA analyses, samples were classified on the basis of prior probability; that is ,they were assigned a probability of occurring in a given group equal to the relative size of the group. In addition to the transformations described above, all variables were standardised before being entered into the analysis, to remove any possible undue influence arising from a difference in scale between variables. 9:3 Taxa included in analysis Preliminary' trials indicated that the degree of association between the three original Eurytemora categories was such that combining them into one category produced identical results. Ambiguous categories such as unidentified copepod nauplii and Acartia juveniles were excluded from the analysis and some rarer categories such as aphroditid larvae and Acartia discaudata were included when it became apparent that the downweighting option invoked in both TS and MDA analyses operated effectively on these taxa. Table '·re Vari abIes wi th a si gni f icant un ivari ate wi thi ngroup to between-group F-ratio (p( 0.05) : groups derived by Twinspan classification of samples within logical categories Variable Category Dist Tide Date Disch Inorg GDl Gp2 GD3 Gp4 Gp7 Gp8 Gp9 FA SA DU KI SK CU High Low Sprinq Neap HS LS HN LN * * * * ~* * * * * - * * * * * * * * * - - -- - * * * * * * * * * * * * - * - * - * * * * * * * * * * * * * * * * * Drg ~org ChI a Phaeo * * * * * * * * * * * * * * * 95 * * * * * * * * * * * * * * * * * * * * AR * * * * * * * * * * * * Sal Temp * * * * * * * * * * ** * * * * * * * * * * * * * * * * * * * * * Table I-ttl. Summary of structure ma t r ices generated by Mul tipIe Discriminant Analysis: Variables with highest poored within-group correlations with discriminant function scores and the sign of the correlation Func 1 Func 2 H Sal + Dist + Date + L Dist + Sal + Date + ChI a- Ne Sal + Dist + Date + HS Disch+ Date + Temp- LS ChI aAR Temp Dist + Date + Sal + ~or9- HN Sal + Dist+ Date+ Disch+ LN Sal + Dist+ Temp+ ChI a+ Disch+ Date+ - Func 1 Func 2 FA Temp + Phae + Disch+ ~or9 + Date - SA Sal + Disch~org - Date CHI aAR - DU Temp + AR + ChI a+ Disch- Sal + Tide + Date - KI Temp+ AR + Disch+ Sal + Func 1 Func 2 GP2 Sp Sal + Stat i oris Dates Tides GP3 Dist + Temp + Sal + Inor + Sal + AR Dist+ Tide+ ~or9+ GP4 Sal + Dist + Tide - GP7 Sal + Dist+ Inor Phae AR + - Tide+ GP8 Sal + Dist+ Date + Disch+ SK Phae + Inor + - CU Date + TempDisch+ Sal - Table "llb Multiple Discriminant Analysis: Percent variance accounted for by first two discriminant functions, and percentage successful reclassification of samples Variance explained Reclassification tunc 1 tunc 2 Total All samples High tide Low tide Spring tide Neap tide High neap Low neap High spring Low spring 51.4 50.6 43.2 46.2 54.8 56.0 75.0 83.8 69.0 31.3 35.1 28.5 39.0 25.0 82.7 85.7 71.7 85.2 79.8 76.2 93.6 91.6 87.8 70.3 71.1 75.0 77.3 72.7 79.6 88.6 85.5 90.9 Fallin S.Alloa Dunmore Kincardine Skinflats Culross 63.4 58.3 50.1 49.9 77.1 26.5 35.6 34.6 41.2 16.6 5.8 89.9 93.9 84.7 90.3 85.5 81.1 91.2 100.0 100.0 Gp Gp Gp Gp Gp Gp 3 64.1 59.3 4 7 96.8 89.4 8 89.9 83.9 2 '9 90.0 20.2 18.6 7.8 18.8 34.0 25.6 1.7 8.1 6.8 13.6 91.1 93.7 95.8 98.1 84.9 98.5 97.5 96.7 97.5 97 100.0 85.0 86.2 91.7 97.2 100.0 Table 1·12 Correlation between DCA first and second axis sample scores and log-transformed environmental variables: Samples categorised by tidal state (Significance Levels: *= 0.05, **=0.01, ***=0.001) Variable Dist Tide Date Disch Xorg Sal Temp Inor Org ChI a AR Phaeo Tidal state High Low Spring Neap Ai A2 Ai A2 A1 A2 A1 A2 *** * --- --* * *** * *** * * .. - * *** * *** ---- ------------- ---** ** ** ** ** * * ** * ** *** ** *** ** *** *** ** *** ** *** ** ** HS Ai A2 LS Ai A2 * ---- t---- ---- ** * * ** ** ** * * ** *** ** HN LN Ai A2 Ai A~ *** ** --- ---- --- --- --- *** ** ** *** ** *** *** * ** ** ** Table I"~ Correlation between DCA first and.second scores and log-transformed environmental Samples categorised by Station Significance levels as Table '.1'-. Variable Station Fallin Al Dist Tide Date --* Disch ~org Sal Temp ** Inor * Drg * Chl a ** ... AR Phaeo ** axis sample variables: A2 1---- ** S.Alloa Dunmore Kincardine Skinflats Culross Al Al Al Al Al A2 A2 --------- ~---~--------** * ** * ** ** * ** ** * ** * ** ** * ** ** ** ** 99 A2 ------ r----- ** * ** A2 A2 r----- ---- ..--* * * ** ** ** * * Table 1·ILf Correlation between DCA first and second axis sample scores and log-transformed environmental variables: Samples cate90rised by Date Si9nificance levels as Table ,'12 Sample Variable Gpi Al A2 Gp2 Ai A2 group Gp3 Ai A2 Gp4 Al A2 (chronolo9ical Gp5 Ai order) Gp8 Gp7 A2 Al A2 Ai Gp9 A2 Al A2 .. Dist Tide Date Di !O.eh ~OT'g Sal Temp InoT' Or~ Chl a *** ** ** --- ---- fo---- ---- ~---- --- ** ** * * *** * ""** ** ** AR Phaeo .' * ** * * ** ** ---- *** ---- r----- ** *** * * * 100 --- ** *** * * * * *** * *** ** ---- ** *** * ** * ** --- *** ** ---- ** --- ---- --- *** ** 1. Samples categorised by station Culross There were a total of 20 samples in this group. DCA anlysis indicated that axes 1 and 2 were of equal length, a value of 250 implying an approximately (Gauch and Vhittaker, correlated 75% turnover in species along each axis 1981)(Fig.1.26b). Date was significantly with both axes (p<0.05), while Temp and Disch were highly correlated «p<O.Ol) with axis 1. AR was correlated (p<0.05) with axis 2 onlY(Table three levels of division, (Fig.l.26a, 1.13). TS analysis was carried to but only 5 groups could be derived Table 1.15). The primary division was characterised the indicators Pseudocalanus (winter/spring) by and Rotifera on one side and Polvdora larvae and cirri pede larvae on the other (summer/autumn). At the second level, Hay samples were indicated by terebellid, nereid and cirripede larvae, while winter samples were characterised by a tight Haranzelleria groups dominated Eurytemora group and two further by Acartia spp. and Pseudocalanus. were present in most samples. Date, Disch, Sal, Temp had significant univariate Analysis revealed Function 1 (Table 1.11c"~ while the remaining negatively Oithona and that Date was positively associated F-ratios associated (Table 1.10). with variables were with Function 2. The groups were very well 101 Table 1.15 Twinspan classification of CUlross (U 20 ROll ~Pf.C OO~ 2q j,1AHA 30 ;'IiAfiA 31 ~ARA ~'.IRE 'ROC 000 e. ACAk 13 ACAj; 10 PSElJ 23 SAGl 9 ACAR 24 DIKO 5 fURY 12 ACAR 19 CALA 20 fMO coo 000 EGGS CLAU 001 001 CISe ELON E.LEG LOi\G --1 0 010 0101 AFfI INfR HELG LONG 0110 2-11-- 0110 0110 0110 0111 0111 10 10 17 OlTH SIMI 27 HARP SPE.C 10 ACAR TONS 32 LIlT CAPS 40 CIRR NAlJP 18 CENT hAMA 28 POLY elLI 33 LIlT VELI 37 lERE.· LARV 38 NERE LARV 39 CIRR CYPR 42 NUOI JUVE 1.11SIVA LARV 001 001 10 --- 110 110 -12 110 --------- 1110 1110 1110 III 0 III 1 1- 1-- 000 onu 102 saaples - Cl1.03HS C17.03HN C2b.03HS C02.01lHN COb.OqHS COl.llHS COQ.l1HN Clb.llHS C27.0QHN C23.11HN C15.12HS C2l.12HN . Cl0.05HS C17.0SHN C2Q.OSHS C31.0SHN C08.07HS C2b.08HS C13.0QHN C20.0QHS MAlA ACAR ACA. ACAIl PSEU 11.0" IlOTI SPEC IREIl LORG 'l'OlU - POLY WIlE PSEU BloOM TEltE LAllV CILI - - ACAll CAl LONG CLAU POLY CILI CIlllt CYPR CIllt RAUP .. ' Flgure 1.26 a i Dendrogram of Culross samples classified by Tvinspan. Indicator : species for each division shown. 103 AXIS 2 - ..... c;t fI...) UI U1 ISl co ~ (..11 J\.) N (..11 ~ ~ U1 UI ISl t'SJ ~ N Iv UI N ut CO c:!:J G"' 0 \A .9- (.) cri .> X· ....... t'- 0 ..... . Cj1_. 0 m j n , ._. if' •.,-,I r~l 0 ;::u '_IfoI , ." J ! 0 0 t·,) > 3 -u 0 ;:; CIt,. e 0 v -e- Cl 5 r m Cl ;::u _i .., C, (.f) = ;;, 0 I - • -, N .-. en ~ - n c 0 ~ ",0 0 ..l> 0 ~ 0 ~ CO ~ o G" Figure 1.26 b Decorana ordination of Culross samples on first two axes. 04 , .t, .;- . . t .. r» + ,.., .,' r: L r» .. ,... : + , ,.. ~ : p t !"I Cl • I r-. ". A tl 1""". T ,.. F -. + U c"' f""I T ,.. C ,.., J -e: + N ." -c 2. t • ", ,.. .. -12 • -'" -4 lOS + 4. t- Il. + GUT separated in discriminant space (Fig.l.26c). Date appeared to account for most of the separation. Tide was not an influential variable at Culross. The first two discriminant functions accounted for 95.8% of the variance, and 100% of samples were correctly reclassified. Skinflats There were 20 samples in this group. DCA axis 1 was considerably longer .than axis 2, indicating a greater turnover of species .,' along this axis(Fig.l.27b). As with Culross, Date was correlated with both axes. Disch was highly correlated with axis 2 (Table 1.13), while Chla and Ar were correlated with axis 1. TS division was carried to level 3, deriving 6 groups one of which was a singleton sample. The primary division placed the indicators Pseudocalanus, Sagitta and Acartia clausi on one side and Polydora larvae on the other(Table 1.16, Fig.l.27a). As at Culross, further division showed clustering by date, with group 1 characterised exclusively by Haranzelleria, which was confined almost to this group. In contrast, other polychaete larvae were confined mostly to group 5. Samples in groups 1,2 and 3 contained, in general. mostly neri tic/marine Pseudocalanus t axa . Oi thona and were present in most samples at Skinflats. 106 ,Table 1,16 'l'winspanclassification of Sklnflats SK 10 ACAR 21 PARA '" TOI'~S PARV lCI\G 9 ACAR 2~ OIKO 0101 42 NUDl JUVE q NEOioA INTE 19 CALA HElG 8 ACAR ClAlI 13 ACAR DISC R A TROe 30 r·1A ~iARA 31 EGGS 16 PSEU ElON 23 SAGl ELEG 29 MARA ~ RE 17 OITH SI~I 39 CIRR CYPR 5 fURY AFFI 20 TEMO LONG 3Z LIlT CAPS 40 '·CIRR NAUP 12 ACAR INER 27 HARP SPEC 33 LIlT,VELI 35 SYLl" SPEC 26 o I SPEC 28 POLY elL 2 80S~ SPEC 18 CENT HAMA 37 TERE LARV 22 Cyel SPEC 30 E1EO lARV 3e. M:.F<E LARV. ql rIVA L:lRV 0000 0 00000 o 00000 1 000001 000001 00001 00001 0001 0001 0001 0001 001 001 00 010 010 011 011 011 011 10 10 10 10 110 0 1110 110 1111 11111 11111 11111 11111 107 BaIlp1ea J Gll.03HS G17.03HN GZb.O)HS GOb.09HS G13.09HN 1 G20.09HS J Gll.12HS G03.11HS G09.11HN Glb.l1HS G23.11HN G15,12HS G12,OlHS G27.01HS G03.02HN G02.04HN G2'1.05HS G19.01HN GtO.05HS G31.0SHN POLY CILI pstU SAGI ACAR ELON ELEG CLAU POLY HARP CILI SPEC - CIRR EURT pstU CTpR A"I ELON -- .. 01 EURY OITH APrI SIMI S'1'LL s,eE" IIVA LAJlV .' Figure 1.27 a Dendrogram of Skinflats samples classified by Twinspan. Indicator ;species for each division shown. AXIS 2 ") a:. - ~ :;, o .l- 0 :>X (n 0 0 l) _0 0 oQ ~ 0 (.TI ~ ':-) ';: ~I AI - 0 (t.1 ::2. _,. \II to ~ .P ,"SI '-' r m 0 .' t'" -"J c.n .-. ,_, -:c:: ..... - 0 •~ "tV -Q (5) - '.:I In ~~ 0 - (/) A V\ (S) ~ CO Cl) tV 0 0 0 '" CSI 0 tV P .". Ci) Figure 1.27 b Decorana ordination of Skinflats samples on first two axes. 109 o. r. " IT . ,. • J1&ure -:! -4 OUT o 1.21 c • 110 4 OIIT MDA was carried out on TS groups defined at the second level of division (four groups). Date, Disch and Temp all had significant between-group F-ratios (Table 1.10). Date and Disch were positively related to Function 2, while on Function 1 all three appeared to have equal influence (Table 1.11a). Discrimination was again very effective with 93.7% of variance explained by the first two functions and 100% correctly reclassified, but in contrast to the DCA analysis, no influence of Chla or AR was observed. Skinflats, like Culross, appears to be subject to seasonal rather than semilunar influences, despite the entrainment of abundance of eggs and larvae of some taxa already noted. Kincardine A total of 46 samples were taken at Kincardine. Axis 1 represented a greater species turnover than axis 2 (Figure 1.2Bb). Date,Sal, Temp, Chla and AR were all significantly while Disch was signifcantly TS classification correlate~ with axis 1, correlated with axis 2 (Table 1.13). was taken to three levels (eight groups). The main division was characterised by Maranzelleria. which was confined to groups 7 and 8 (March and April), while the other side of the division was dominated by the neritic copeopds and meroplanktonic larvae €,:cluding Maranzel1eria (Table 1.17, Fig.l.28a). Oithona and cirripede II~uplii were present in the majority of samples, but cirripede cyprids were largely confined to group 1. Eurytemora, Rotifera, and harpacticid copepods occurred in almost III Table 1.17 Twinspan classification of Kincardine saap1es KI uOOO 4 tJ E 0 r· H;TE 16 PSEIJ I:LON 0000 0001 0001 ! 0001 0001 0001 0010 0010 0010 0 0010 0 0010 0 0010 1 0010 1 0010 1 0010 1 ·0010 1 0011 0011 10 ACAK TOl1S 1 1 ACAR 61ft 19 CALA HELG 2Ll 01KO DIOI q 18 2~ 36 38 41 13 21 33 3S 42 34 37 ;S9 12 17 23 40 5 20 27 32 1 2 3 26 8 22 29 ACAR LOr-..G CENf HAMA POLY CILI E1EO LARV NERE LARV alVA LARV ACAR DISC PARA PARV LIlT VELI SYLL SPEC NUDI JUVE APHR LARV TERE LARV IRR CYPR ACAR INER OITt1 SIMI SAG.I· ELEG CIRR NAUP EURY AFfI TEMO LONG HARP SPEC ITT CAPS DAPH SPEC BOS,"" SPEC OIAP GRAC ROTI SPEC AC Arc CL ~lJ eyeL SPtc MARA ,"IRE MARA TRee 00 01 01 01 01 -333332 10 10 10 10 110 43214i~3 212-122 4322121 110 110 110 111 1111 1111 111 1 111 1 30 31 r>1ARA EGGS Cl111U 000111 . ". 112 K31.0SLN · KIO.OSHS KO~.07HS K13.0qHN K17.0SHN K21J.OSHS K31.0SHN K12.01HS KI0.0SLS KI7.0SLN K21J.OSLS· K06.0qHS K03.11HS K16.11HS K23.11HN · K26.08HS · K27.0qlN K13.0qlN K20.0qlS KOq.llLN K23,11lN K27.0QHN KOQ.l1HN K23.12HN K27,_01lSl Klo.11LS K1Q.01HN! K27.01H5' K1S.12lS Kll.12HS K23.12LN KIQ.01LN K03.02LN K1S.12HS K18.12Hr~ K16.12LN K12.01lS K03.02HN Kll.03HS K17.03HN K17.03lN K2b.03HS Kl1.0llS K2b.03LS K02.0QHN K02.0QlN · TERE CIRR l.ARV CiPR - alVA CIRa LARV cypa 0 J ROTI SPEC . ACAR 'OLY l.ONG CIl.I 0\\(0 !lIO\ AeAR Cl.AU OITH ACAR IEOK SIMI l.onG InTE i I TEMO · TIMO OITH ACAR LONG MARA EGGS MAltA WIRE KARl. TROC LOnG SIMI CLAU MARA EGGS KARl. WIRE KARl. TROC KAltA EGGS Figure 1.28 a Dendrogram of Kincardine samples classified species for each division shown. 113 by Twinspan. Indicator AXIS 2 lSI - - - - ,,_, (.JI "I (D U1 (!l UI N IS.) l.n Ut ~ C) ~~ tv N N "I CS) (.JI UJ N CSJ UI ~ 0 ~ ,..0 "'" c- O '"to ( •.1 crI 0 ~ d ~ :> X ~ ID - 0", - O~ ':::". t t,lO olI ,I Q:\~ GIl I '"V\ -.J t·,) Cl - I ~, CJ1 (I ;.J 0 ~ '"v (jJ -u 0 -l- 0 ~ ~ r m 0 ::0 0 ~ ~ n 0 ;U :>:::I Cl 0 ~ ~ 0 ..... v 0 0 -:: ~ ~ A 0 IS" 0 0 f. 0 ..0 _0 - - is t" 0 "" 0 0 -l" c • "N "0 OJ"" ~ CO ~ - ~ oJ 0 N 0 m 0" i\ Cl 0 b ~O I _" ..t; .~ I ~ r;; ~ o (. ~ fT! 0 0 0 ~ ~ (S) 0 21 0 N ~ ..la. 0 ~ \,II N "'-l 'SI Figure 1.28 b Decorana ordination of Kincardine samples on first two <::\)("-5, 114 • ". .. .. .. .. .. .. ·OUl -6 X. . -4 -2 + + , , 0 2 + +. . . .. 4 . .+ x b . • ",. 6 + C A N 0 'I" 4 + o + -;! + + •. '; + + C A L ,. 0 ,. ,. ,. ,. ,.. t S C ~ I M J ,. N n r ." F I.' Il ,. t; ,. '.' ,. ,. ,. • +. ~ ,. ,.. -4 .+ -2 ,." .. + 0 +. DEC VAX-11/780 VMS VJ h 2 :·t·.. Kt .' .• '.f .: •.. W SlIflL.1NG ~ Figure 1.28 e 115 .. 'I '""0 all samples; Rotifera showed some bias toward the right-hand side of the major division (Table 1.18) and thus had restricted overlap with the neritic/lower estuarine community. At level 3, there was some tendency for high tides to be sorted into group 1 and low tides into group 2. The same relationship applied to groups 3 and 4. Groups 1 and 2 were mainly Hay/June/September, while groups 3 and 4 were mainly September/November. Groups 5 and 6 contained predominantly samples from January and December and groups 7 and 8 from Harch and April. HDA was carried on level 2 TS classification. Date, Disch, Chla AR, Sal. and Temp all had significant between-groups F-ratios .' (Table 1.10). The groups were well-discriminated by HDA (Fig.1.28c), with 91.1% of the variance explained by the first two discriminant functions and 91.2% of samples successfully reclassified using the linear discriminant rule (Table 1.11b). Temp and AR were the most strongly related variables on function 1, and Disch and Salon function 2. Thus, groups 3 and 4 (5,6,7,8 as described above) were associated with lower temperature and lower primary production than 1 and 2 (1,2,3,4 as described above) while groups 2 (3,4) and 3 (5,6) were associated with higher freshwater discharge and lower salinity than groups 1 (1,2) and 4 (7,8). TS/HDA predicts that the neritic/meroplanktonic assemblage should be associated with higher temperatures and higher primary production; the division (Fig.1.28d I, this is the case on the left-hand side of and MDA further cor rec t Ly summarises 116 the distinction between 1 (1,2) and 2 (3,4) in respect of higher discharge and lower salinity in the latter. The biological grouping shows a considerable reduction in diversity between these sample classes, with most of the larval forms not present, copepods such as Centropages and Temora reduced in frequency of occurrence and species such as Pseudocalanus and Acartia becoming more common. Dunmore There were 48 samples in the Dunmore data set. Axis 1 of the DCA ordination (Fig.l.29b). was some 35% longer than axis 2. There was no obvious clustering of samples, but sample 29 (D26.08HS) was an obvious outlier; only 3 taxa occurred in this sample. Sal, Temp, Chla, AR, Tide, and Date were all correlated with axis 1, and Sal was also significantly correlated with axis 2 (Table 113.)3. The major (level 1 ) division in TS was uneven (Table 1.18, Fig. 1.29a), and was defined mainly by the fidelity of A.clausi, A.longiremis, Polydora larvae, cirripede cyprids , Centropages, terebellid larvae and A. bifilosa inermis to the right side Groups 1 and 2 were pr~~ominantly low tide samples. and mainly 117 collected in November/December/January. characterised association These groups were by high Rotifera abundance and distinguished by the of Diaptomus and Bosmina in group 1. Groups 3 and 4 differed from 1 and 2 by virtue of increased presence of cirripede nauplii; group 3 was a cluster of samples containing Maranzelleria larvae and Littorina egg capsules, while group 4 contained an association of Pseudocalanus, Oithona and Temora. Groups 3 and 4 were mostly high tide samples, and from the March and December collections. Groups 5 and 6 displayed the highest diversity, with a high frequency of occurrence of A.longiremis, Polydora larvae, ~irripede cyprids, Centropages, larvae" nereid larvae and A.bifilosa terebellid inermis. These two groups ~ differed little, and primarily in respect of the occurrence of terebellid larvae. Groups 5 and 6 were, like 7 and 8 , predominantly high tide samples collected in May-September. MDA was carried out on level 2 TS classification; therefore equivalent to TS groups 1 and 2, and so on. Tide, Date, Chla, AR, Disch, Sal and Temp between-groups MDA group 1 is all had a significant F-ratio; from Culross to Dunmore the number of significant variables increased from 4 to 7. Temp, AR, Chia were positively associated with discriminant function 1, and Disch was negatively associated with this function. Sal, Tide, and Date were negatively associated with function 2 (Table 1.11a). The first two discriminant functions accounted for 84.1% of the total variance, and samples were reclassified with 81.1% success (Table 1.111.11b). 118 Fig. 1.18 Twinspan classification of Dun.ore samples DU 11U 12244 233:S44~ 1 19139 3S3Sb7b1914735802 5 fUI-n AFFI 27 HARjo' SPtc 32 LIlT CAPS 3e> ElEO LARV 29 MARA ~'iIKE 30 MARA. TROC· 1-----------12--1 0 0 0 0 31 ",lARA EGGS. -----------------------------------1-------------·-1---··--------1-1---------1--- 35 LIlT VELI SPEC GRAC SPEC SPEC SPEC 35522 '-SQ4Q4-1-4254S555 SPEC 12211 4 ~EOfl.\ INlE 8 ACAf< CLAU 10 ACAR TOf'.4S 24 OIKO 0101 9 ACAR LONG 23 SAG I ELEG 213 POLY tIll 39 CIRR CYfR 18 CENT .'t1AMA Iq CALA HELG 21 PARA PARV 34 APHR LARV _- __ 31 TERE LAR'J 36 ~ERE LARV 42 ~..Unl JUVr:: 1 DAPh 3 OIAP 15 CHYC 22 CYCL 2b ROll 2 80SM 12 ACAR J blVA lJ :J: -.-------------------------------.------- ..._----.--------- .._------------1------.--------------12-------------·-------.---------.-----.-._--_-_-.--------------------_.---------_-.- .. ...-.- H~ER LAR'J C I !~I, I\AUP r.SEl: EU;N li 11 (lITh ~{, Tt:·'( 1 011 00 00 100 00 100 00 100 01 100 01 100 01 100 01 100 100 100 101 100 101 10 101 10 101 10 101 10 101 10 11 10 11 --1--------------~--11---·--·-1---- 101 , 1 SI jo, 1 11 11 L01>o;G 119 Ot9.0ILN 027.01LS D03.02LN Otl,03LS 023,t2LN 1002,04LN Ol7,OSLN 024,OSLS 016,llLS 023,llLN 019,OlHN 031,OSLN 027.09HN D27,09LN D03,IILS 009.11LN 023.11HN 015.12LS D18,12LN Ol2,OlLS 027.01HS D03.02HN 018.12HN D12,OlHS OIO.05LS Dil,03HS 017.03HN 026.C3HSJ 02~.03LS 009,11HN D16,11HS 015,12HS D23.12HN Dl1,12HS 017,03LN 002.04HN 031,OSHN 008,07HS D03.11HS DI0,Q5HS · Ot7,OSHN 024.05HS 026.08HS · C06,09LS D13,09LN D20.09LS · D06,09HS 013,09HN 020.09HS 105M SPEC - REO" UITE I REOM In'E ROTI .. 1 SPEC " :..:-:a: CAPS Taoc . ~A'.A I I- C IItR 'PSEU ELOR RAUP PSEU ELOR MARA TEMO LITT WIRE LOIlG VELI .. · ACAR IllER '1'ERELARV 10SM CIR. JlAU' POLY CILI CERT KAMA loCAl '1'ORS SPEC loCAl 'lOllS ACAR POLY LOIlG CILI Figure 1.29 a Dendrogram of Dunmore samples classified by Twinspan. Indicator species for each division shown •. 120 I \ AXIS CSl ~ ,.,J (.JI U1 0) - - - - re '"-J (JJ (S) 0 ~ N (.JI '"-J Q I'J N U1 CU CJI t-.J (SJ ut CU - ~ (.JI 0 0 0 ~ CoJ 2 :::: a) 0 0 >- ~ - 0 >< ..... (I') if' co ~ e- 0_ ",,0 ~o N ~ - _. --1 '" 0~ - ...... (g 0 -0 r- ~ m .=. 0 ~ ;U 0 •...... ~o CJ 0 ~ c 0 ~ 0 ,., '\ t-v !O ~ ... 0 ~ ... tl U) :~ ~ .-' 0 0'" 0 ~ 0 ~ 0 Al ,.,""~~~ 0 s c.n Cl) "" ~ 0 CO ... e N ~o .., 0 ~ G) ...... \lot C'" ",0 -'Q t:=t ~o 61~ 0 a0 .:-. Cl 0\ G" m 0 0 ~ (j) a (l_ J \£ N ...... cs. 0 .r 0 ~ N .J>. CS! 0 0 1.11 0 f.) -0 0 N ~ ~ ~ Figure 1.29 b Decorana ordination of Dunmore samples on first two axes. 121 ". ". ALL-GROUPS CANONICAL ". C A ".. 0 N 4 I C A ..DI ... ". 2 S ':. R I til I ~ I 2 4 + ••••••••••••••••••••••••••••• • OUT J • •• • • ••• ••• • • • t • ••• • • L ".. FUNCTION • ••• re ".. DISCRIMINANT A GROUP CENTROID • • ". c- INDICATES • • ".. t:.' * - OUT -0 -4 -2 0 X ••••••••• + ••••••••••••••••••••••••••••••••••••••• X ".. ". SCATTERPLOT • 0 • • • •• • • • • N A 'T" F U -z t• • • ,., , C ~ =: -II • 0 • • • • ,.. 2 ". ". • J ••• • • • • • -. . • • • X'. ; • • . X ••••••••••••••••••• OUT -. +•••••••••••••••••••••••••••••• ~••••••••+ ••••••••• -4 -2 MOl. DU TS Figure 1.29 e M1>A! 122 0 2 4 + ••••••••• • X OUT The groups ordinated by MDA were less clearly defined than in the stations considered previously, and analysis at TS level 3, with eight groups might have been more successful. Nevertheless, considering the structure matrix summary (Table 1.11b), MDA predicts that group 3 (TS 5,6) should have earlier date and higher salinity than group 4 (TS 7,8), and this is in fact correct. Dunmore showed an increased degree of tidally- and primary production-associated structure in comparison with stations further down the estuary. South Alloa A total of 49 samples were taken at S.Alloa. THe DCA axes were approximately same amount of species turnover equal in length, indicating the along each axis(Fig.1.30b). Tide, Sal, Temp, Chla, Date and AR were strongly correlated with axis 1 and Sal also showed a degree of association with axis 2; this pattern was similar to that at Dunmore (Table 1.13)3. The major TS division was indicated by Neomysis and Diaptomus versus Eurytemora, Haranzelleria, cirripede nauplii,Polydora, Oithona and but sample diversity was generally low (Table 1.19). Group 1 was defined at level 2, and was characterised presence of Acartia ~, by the whilst group 2 was characterised by cyclopid copepods. Group 3 contained the majority of occurrences of Diaptomus, Daphnia al,d Bosmina. Group 4 ha~ few freshwater taxa, but contained some Oithona, Polydora larvae and cirripede nauplii. Group 5 was distinguished Oithona,Polydora, ~ropages, by the joint occurrence of A.longiremis, Pseudocalanus, Temora, and terebellid larvae, while groups 6 and 7 were similar to each other and differed primarily in respect of higher Eurytemora abundance in the former and the presence of Littorina egg capsules in the latter. Groups 6 and 7 contained the majority of Maranzelleria summer/autumn occurrences. Group 1 contained late samples and mainly high tide (Fig.1.30a). Groups 2 and 3 were predominantly winter samples with no significant bias to either high or low tides. Groups 4 and 5 were mainly May high tide sa~ples, and were associated with the highest Eurytemora abundances as well as the majority of neritic copepods and meroplanktoniclarvae. Groups 6 and 7 were exclusively March and April samples and mainly high tide; the only samples from March and April not included in this group were low tide. MDA was carried out at TS level two, and the previous comments regarding group numbering apply. Date, Disch, %org, Ar, Sal, and Temp had significant F-ratios (Table 1.10). Sal was positively and Disch and %org negatively associated with function 1; Date, Chla and AR were negatively associated with function 2 (Table 1.11a). The first two functions accounted for 93.9% of variance, and 85.5% of samples were correctly reclassified using the linear discriminant rule derived by the analysis. The sample groups were clearly distiguished U4 in Table 1.19 Twispan claasification sA of South Alloa aaaples _ 134~3q~ 14 13~11?2 22 )3geb7~131568q027Sb~1 2 130sr' LI NEO" SPEC rurc 6 ACAR CLAU 15 CHYU SPE.C 1 OAPH SPEC 3 DIAP GRAC 10 ACAR,lOi\S 22 Cl'eL SPEC 5 fURY AFfI 26 ROTl SPEC 27 HARP SPEC 16 PSEU ELON 39 CIRR CyPR 17 OITH SIMI 26POLY eILI o o o 9 AeAR LONG 36 ETEO LARV 38 NERE LARv 42 NUDI JUVE 16 CENT HA~A 19 CALA HELG 37 TERE LARV o 1 1· 1 20 t€f-40 LONG 40 CIRR 30 MARA 31 MARA 33 LIlT 12 AeAR NAUP 29 ~.IRe: MARA TROC EGGS VELI INER 32 LITT CAPS us ) S2b.OBHS · SOb.OQHS S13.0QLN S20.09HS · )SOQ.IIHtJ · S23,11LN CYCL SPEC S06.0qLS S20.09LS S27,09LN S23,12LN 517,05LN · ~18.12LN S02.04LN S03,11HS S15.12HS S15.12LS ~03.11LS ~09.11LN Slb,llLS Sl1,12HS S12,OlLS S19.01HN DAPH SPEC BAltP SPEC S27,OlHS EUltY ArrI d27,OlLS S03,02HN S16,11HS S19,OlLN S11·~03LN ! ~27, OQHN ! S23.11HN! S03,02LN I Sl1,03LS.J S10,OSLS S2Q,OSLS ~12,OlHS S17.0SHN S31,05LN 1------..., S18,12HN S06.07HS S13,09HN S23,12HN m:m~}---_'CEIIT 'tORS IIEOK lITE DIAP GltAC DAPH SPEC ,OSM SPEC DIAP GRAC ROTI SPEC POLY CILI BAKA S17.03HN S2b.03LS 1------..., S02.04HN .;11.03H5 ~ --' S26.03HS KARl. 'fROC ) ACAR EURY APn CIIIR RAU. POLY CILI OITH SIMI KARl. WIRE KAltA WIRE Figure 1.;0 a Dendrogram of S.Alloa samples classified by Twinspan. Indicator species for each division shown. J • I ~ AXIS 2 f>_' ~ Ul UI .... ,3 (i'I U1 et' - - m UI I'.,,) (..I, (S) ~ tV "-J cs;) (JJ Ci:I N N N UI l~ ~ ",,0 ~ 0;t 0", ~ 0 I~)) p r~1 >x .... (J) ~ - 0 ~n ,z; ~O 0 of' '" o cia ~ Cl ~ 0,," ~.-0 -e- 0v» """ 0 Cl '" 0 ~ (!;;. ." 0 ~ - "'" -l: ::I ~O~ r m - 0 0 01 o;St > ." ... 0 ~ (fJ 0 yJ ,-, ~ ;'..1 ;0 "8 ~~ "'\. -1 n Cl 0 o~ Cl vaI" 0 m ~ 0 ,..!, C '" - 0 ~ 0 l! Cl ;u c 0 t; 0 ~w 0 ~ 0 N ~ t- 0 O N 0 ~ • 0 )..) \a !O 0 ~ -, N (/') :> 0 ~ - - CO ~ 0 a= 00 0 .t 0 ~ N ~ Figure 1.30 b Decorana ordination of S.Alloa samples on first two axes. 127 ALL-GROUPS aCATTERPLOT CANONICAL .,. OUT x x ••••••••• -~ -a - • INDICATES DISCRIMINANT -z A 'ROUP FUNCTION 0 CENTROID 1 2 • ~ OUT + •••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• x •• .,. . • • .-'• - tQ--- ..... - .. .. • ~ /z iz I ,.. 2 2~ I • J J. I I • + I z • + {z • • • • •• ,.. • x• x ••••••••• OUT • + ••••••••• -~ + ••••••••• • ••••••••• + ••••• -a -Z ". teDA SA TB JI'1gure 1.)0 c S.ALLoa.. 128 0 •••••••• Z •••••••••••••••••••••••••• • x • • OUT discriminant space, with 2 (TS 2 and 3) and 3 (TS 4 and 5) separated in terms of salinity and discharge both of these distinguished (cf Fig.l.30c), and from group 4 (TS 6 and 7) by virtue of the latter's earlier date and lower primary production. MDA function 2 therefore reflects faithfully the effect of the early-spring peak of Maranzelleria larval production, while function 1 reflects other seasonal and spatial factors. Fallin There were 42 samples in the Fallin group. Date,Temp, Inor, Chla, Phaeo, AR were correlated with DCA axis 1, and Disch with axis 2 (Table 1.13). Axis length was comparable to previous stations and their lengths implied that samples at opposite ends of the axes would have about 25% of species in common(Fig.l.31b). Sal was not an important variable at Fallin, but inorganic suspended solids and phaeopigments assumed an importance not observed at stations further down the estuary. TS classification was carried to level three(Table 1.20). At level one, the main division indicates high abundance of Eurytemora on one side and the predominance of freshwater species on the other. are almost evenly Occurrences of Maranzelleria divided between groups J and 8 at level three. Group 2 was distinguished by the presence of Daphnia, Bosmina and Diaptomus in the relative absence of all other taxa except the common Eurytemora, harpacticids, and Rotifera. Groups 3 and 4 are mainly ~9 distinguished by the clustering of most occurrences of Neomysis and chydorids, while groups 5 and 6 are characterised abundances of Rotifera and Eurytemora respectively. by high Group 7 consisted of 4 samples containing Littorina egg capsules, and as noted above group 8 was defined by occurrence of Maranzelleria~ High and low tides did not appear to be segregated in any particular manner (Fig.1.31a). Disch, Org, %org, ChIa, Phaeo, Temp all had significant F-ratios(Table 1.10). Temp, Phaeo were positively associated with the first discriminant function (Table 1.11a), Disch and % org positively with function 2, and Date negatively with function 2. 89.9% of variance was accounted for by the first two functions (Table 1.11b) and 90.3% were correctly reclassified. MDA was carried out on level two TS groups; when plotted in discriminant space, groups 1 (TS 1,2) and 4 (TS 7,8) were clearly separated from each other and from the less well-separated groups 2 (3,4) and 3 (5,6). 130 Table 1.20 Twispan classification of Fallin saaples FA 4 r~lOf\' io ACAR 15 CI1YD 17 OITH 22 C~CL 1 DAPti 2 OOSft. 3 DIAP 31 ~ARA F( 40 26 ROTI 12 ACAk 16 2B 33 38 39 ~ PSEU POLY LITT N£RE RR EUR¥ 27 HARP 9 ACAk 2~ ~~ARA 32 LITT .. ' 0000000000000000 0 1111111111111111111 00000000000011111110000000000001111111 OOvOl1111tl1111110000 11000001111111 000111 000000000011100001 011110000111 oooe 0000001111 ('00011 131 Fll!03HS F17.03H N F17.03l N FZ6.03L SF19.01H W F19.01l N F27.0tL S F03.0Zl N FZ7.01H S F03.02H N Fl1.03l S F09.1tLN F23.1ZHN F23.12LN F27.09HN F03,11HS F09,11HN 1FJ3,09HN F13,09LN F20,09lS F16.11LS F06.09lS F06.09HS 1 F27.09lN ~ F03,1llS r·11.12HS I FI8.12lN~. ---__ F12.C1HSJI Ft2,01LS FIO,OSHS F17,05lN F24,05HS I F31.05HN ~-----' F24.0SLS F31, OSLN F26,OBHS F18.12HN F02, OllLN F17,OSHN FOB.07HS F26,03HS F02.0~HN 1-------' FIO.05LS MARA WIRE DAPB DIAP BOSH SPEC ORAC SPE SPEC ORAC SPEC SPEC IUOM IIfTE BOSM DIAP DAPK eYCL ,. , t------- JlEOH I.TE CH'fD SPEC CYCL ACAa e r •• SPEC LONG CT'I 1------- lOTI SPEC ,OLY CILI CILI NE-let- \..I\tV 'POLY EURr LITT MAlA AF'I CAPS WIRE 1.12": CAPS DAPK SPEC MAaA WlaE Dendrogram of Fallin samples classified by Twinspan. Indicator species for each division shown • • 132 AXIS 2 (1.1 cr, ~O o >X ...... tTJ (,)1 co - Cl - ("" ,.. ..0 C' _0 v. n 0 -\I . ...0 ~Or-~ 0 .. t B~ co ~ -of ;:u 0 0 ;q '" 0 er =¥ - ~I CI'\ 0 - ... ;U -, • o~ to tv )o.a ~ 0 ~ l> ... 0 ~ \011 N 0 \II ~~~ ~ °v 0 t .." 0 0 c,.. - 0 \ol 0 _Ooot 0..., CO CS! (I -f:'" -:to tv m ~ c.n (II r 0 (g - 1.1 ~ :.$I 0 \I' :::.- :::I r:: ..Q -. u u') ._, v.,_ cJ I 0 m ~ 0 ~ Decorana ordination of Fallin samples on first two axes. lJJ ,.. ,.. X x ••••••••••••••••••• + ••••••••• + ••••••••••••••••••••••••••••• t ••••••••• • • ,.. ,.. • •• Cl • ,.. ,.. • C A N 0 • 4 • N ,.. + •••••••••• ! C • A ,.. ,.. ,.. ,.. L 0 I S C A ,.I .. .. 2 .. .. • • • .,. 0 I • • • • • • A ,.. ,.. T r U -z •• • .. ,.. • -" .. .. • • • • • • to C T I ,.. 0 ,. 2 • • • • • N -0 ,.. .. ..• • • • ,.. • • • X • X X ••••••••••••••••••• OUT -0 ,.. 4-DEC-84 JU3U J4 MOl. fA lS UNIVERSITY CLASSIFICATION + ••••••••••••••••••• -4 -2 Of SlI~LING • ••••••••• 0 • ••••••••••••••••••• 2 4 DEC YAX·JI/7eO VMS Yl.' RESULTS· F'"a llin 1)4 + •••••••••• • OUT Sampling cycle (spring-neap-spring-neap Date groups 1,5,6 and 9 successfully. sequences) contained too few samples to analyse These correspond to December 1981,Ju1y 1982, August 1982, and December 1982. Analysis was completed for groups consisting of samples from January/February 1982,Harch/April 1982, Hay 1982, September 1982 and November 1982. The summer period was not therefore represented in this category. Date group 2 (Jan-Feb 1982) This group contained 36 samples DCA axis 1 was dominant (Fig.l.32b), with some evidence of sample clustering. Dist, Sal, Temp, Inor Org, Phaeo were significantly correlated with axis 1 (Table 1.14) and Phaeo was also correlated with axis 2. The main division at level 1 in TS was defined by the indicators Diaptomus on one side and cirripede nauplii an the other. Diaptomus was associated closely with Bosmina (Table 1.21) and, to a lesser extent, with Daphnia, while the cirripede nauplii co-occurred to a large extent with the neritic copepods Oithona 135 Table 1.21 Twinspan classification ot Date Croup 2 sa.plea GP 2 110 110 10 01 01 01 o 001 001 001 000 000 .. 1)6 • r G12. 01HS I'OLY elLI K12. OlHS G27. OlHS D12.01HS . K19.01LN K03.02LN K12. OlLS K03.02HN S12.01HS D12.01LS K27.01HS G03. 02HN G19.01HN K19.01HN D19.01HN D27.01HS D03.02HN S12.01LS F12.01HS F12.01LS S19.01HN S27.01HS S03.02HN D03.02LN S27.01LS F03. 02HN 503. 02LN I F03. 02LN I D27.0ILS.J D19.01LN F19.01HN F19.01LN F27. 01HS I-K27. OILS F27. OILS S19.01LN TEMO MARA WIRE EURY AFFl .... SPEC IIAU' CAPS LARV C I R R CY PR. EURY A,.'l CIRR CYPR OITH SIMI DAPH SPEC IIEOK.IIITE ACAR INER - 1 l HARP CIRR LITT alVA LOIIG DIAP ACAR GJtAC lifER I i ~ .-Ji DIAP G RAC I).lP!! sPtC CYCL SPEC ...J ~~~~ :::~ Figure 1. 32 a. Dendrogram of Group2 samples classified by Twinspan. Indicator species for each division shown. 117 I ) AXIS 2 I\J (S) - - - - UI cs;) U1 ~ en CD tv ~ ~ N N N UI UI ~ ~ ~ » .. OO~ 6) ~O~ Cl) ... 0 ~O ~ """ :> X ..... ffJ (J) 'i:: cr~ 0 m fJ ro vo~ Cl) n Cl 0°<..1 ~OO_ V\ 0 v co UJ ~ ~ ~ ;U 0 ~ > :I .,. ~CO..0 l.I r m .' - Cl ~ ;:0 o ~.ftl""0 N Cl -, :: • CS) -c.n (S) 0 0 0 -f:" ~ - ~ 0 N Cl "'0 N 0 - ~ o~ 0 'ul (X) 0 Cl) ~ N CS) _0 . .J) 0 ~ 0 ... 0 c- 0 )l .J) ... N (S) t : ".'.' Figure 1.:32b Decorana ordination two axes. of Group 2 samples on first ,i: • 1:38 I ' and Temora and were also associated with higher abundances of Rotifera. Rotifera, harpacticid abundantly copepods and Eurytemora occurred in all samples. At level 3, groups 1 to 4 were predominantly Skinflats, Dunmore and Kincardine (Culross was not sampled until March 1982), while 5 to 8 were biased towards Dunmore, S.Alloa and Fallin (Fig.1.32a). Groups 5 and 6 were mainly high tide samples, while 7 and 8 were mainly low tide samples. F-ratios were significant for Dist, Inorg, Sal, and Temp(Table 1.10) Dist was associated with function 1 and the remaining variables with function 2 (Table 1.11a). MDA accounted for 98.1% of variance, and 100% of samples were correctly reclassified environmental interpretation data set was not sufficiently (Table 1.11b). The complete to permit in detail for this sample group. Date Group 3 (March/April 1982) This group consisted of 39 samples. DCA axis 1 indicated considerably greater species turnover than axis 2 (Fig.l.33b). Dist, Tide, %org, Sal and Temp were correlated with axis 1, and Inorg and Org with axis 2 (Table 1.14). Dispersion on axis 2 decreased with increasing value of axis 1 scores. 139 Eurytemora, harpacticids,Rotifera and Maranzelleria occurred in almost all samples, and Littorina egg capsules and cirripede nauplii in the majority (Table 1.22). The major level 1 TS division was very uneven, and 7 groups were defined at level three. Maranzelleria was the indicator for one side of the division, and Diaptomus and Bosmina the indicators for the other. Group 1 at level three was characterised by Sagitta, Oithona, Calanus, Temora, Pseudocalanus and Littorina veligers. Maranzelleria trochophores and eggs were diagnostic of group 2, the majority of samples in which also contained Oithona and Temora. Group 3 was rather indifferent, containing samples with relatively few taxa but particularly with a reduced frequency .. and abundance of ' Maranze11eria eggs. Group 3 was also characterised by the highest abundances of Eurytemora. contained Oithona,Temora, Pseudocalanus, groups The majority of samples in group 4 Acartia bifilosa inermis, and Littorina veligers. The remaining three contained samples devoid of neritic cope pods , with a much reduced frequency of Maranzelleria, cirripede nauplii and Littorina egg capsules and with the majority of occurrences of Daphnia, Bosmina and Diaptomus. The dendrogram displayed considerable sorting of samples by tide. Group 1 consisted of high spring tide samples and group 2 predominantly so. Group 3 contained mixed neap tide samples, group 4 high neap samples, groups 5 and 6 mostly low tide samples and group 7 low spring tide samples. As with date group 2, there was also a clear bias ,..wards lower-estuary stations in groups 140 1-4, and to upper estuary stations in groups 5-7. Dist, Tide, %org, Phaeo, AR and Sal all had significant F-ratios (Table 1.10). Sal, Dist, Tide and %org were associated with HDA function 1 and AR with function 2 (Table 1.11a). 84.9% of the variance was explained by the first two discriminant and 85% of samples were correctly reclassified functions, (Table 1.11b). The sorting of samples described above was well-represented clustering in discriminant by the space of groups defined by level 2 TS analysis (Fig.1.33c3 c.) ~l Table 1.22 Twispan·classification of Date Group :3 suples GP 3 ~122 22113331122323 33445757171374869688 .. __ ..-.--..-.....-.. ••••••••••• ............ •1 •••••••••• jlll.l 1·····-····· .... 11••••••• -•• 21·2 142 00000 • 00000 00000 00000 000001 000001 00001 00001 00001 ; C 11. 03H 5 G1l. 03H S C26.03H S G26. 03H S· Kl1. 03H S· K17.03HN K26.03H 5 026.03H S 011.03H 5 Sll.03H 5 Kll. 03L S S26.03H S K26. 03L 5 C17.03H N K17.03L N C02. 04HN ,K02.04HN K02.04LN 017.03HN 017.03LN F26.03HS S26.03LS IF02.04HN D26.031.5 D02.041.N S02.04LN .I S17.03HN 002. 04HN :502.04HN G17.03HN G02.04HN 011. 03LS F17.03HN S17.03lN ,F17.03LN . F11. 03HS.~ F26.03l5 F02. 04LN S 11.03LS t-------' F11. 03LS JlSEU CALI. TEMO SAGI ELON BELG LONG ELEG TEMO MARA MARA OITH MARA LONG TROC EGGS sun TROC I 1 J MAR A WIRE EURY APFI CYCL IUOM SPEC INTE SPEC SPEC I ! AeA .. !.!.. aD'll BARP DAPH BOSM BOSM TEMO S PEC PEC 5 SPEC LONG Figlu'e 1.33 a \ Dendrogram of Group3 samples classified by Twinspan. Indicator species for each division shown. • AXIS 2 CS) cD tu UI U1 Cl) - "'-3 UI - - - ,.. 0 0 (1.1 ~ e O°r-a o .... w cr· "'" > ~O ~O >< o 0 rJ) {fJ c· 0 ~ ~ ,, -I it..; ~ 0 0 "" '" 0 .;,~ v00 _ ~ \II 0 ~ ~ -- Cl Coo - i 0 Cl AI C -, • ~O ~O en (J) m ~ ~O ;u -u r ~ w m n o :> :::I -0 ~O --" ~ '" ~ til ~I -i 0 q: "p 6'~ co .' Q O· N Cl O~ ""0 w =o 0 -0 ~ .eo CS" 0 -s 0 3 --" CO cre 0 '" 0 N --" 0 ~ CS) 0 N ~ ~ 0 c; N ~ ~ Figure 1.:3:3 b Decorana ordination of Group3 samples on first tvo axes. 144 CANONICAL OUT -6 w ••••••••••••••••••• -/I OISCRI~INANT -2 FUNCTION 0 1 2 • • OUT + •••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• X X • ••• •• C A N o /I PI J • • • • • • • C A D z •• I S C R I • • • , • -2 •• • • • • • • • C o • • • • • U N T I • • • + • 0" A N T • + o •• ~ I N • ., L • ••• • -/I • • • • N -0 • • • • + • • • •• X -x ••••••••••••••••••••••••••••••••••••••• OUT '-OEc-ell 14I11J.55 -0 • -a ~DA GPJ Ta UNIVERSITY or STIRLING + ••••••••••••••••••••••••••••••••••••••• 0 2 • .z DEC VAX·11/7eo Figure 1.:)3 e 145 VMS Vl.6 • x X OuT Date group 4 (May 1982) Group 4 contained 39 samples. DCA axis 1 represented greater taxonomic diversity than axis 2 (Fig.1.34b). Dist, Tide, % org, Sal, Temp, Inor, Ar and Phaeo were correlated with axis 1; no variable was significantly correlated with axis 2 (Table 1.14)4. The major TS division (Table 1.23) was characterised Eurytemora abundance on one side and Centropages, by high Polydora and terebe11id larvae and cirripede nauplii on the other. A large number of marine and neritic copepod species and additional merop1anktonic Freshwater larvae also occurred in this latter group. taxa were barely represented in May samples. Samples were classified at TS level three primarily into lower estuary/high'tide samples (groups 1-4) versus upper estuary/low tide samples (groups 5-8) (Fig.1.34a). There was a tendency for the frequency of neap tide samples to increase from group 1 to 8. Dist, Tide, %org, Phaeo, AR and Sal all had significant F-ratios (Table 1.10). MDA was carried out on TS level 2 classification (four groups). Sal was associated with function 1, and Dist and Tide with function 2 (Table 1.11a). 98.5% of variance was accounted for by the first two discriminant were correctly reclassified functions, and 86.2% of samples (Table 1.11b). Discrimination on function 2 was not good, but the correct order of groups was recovered on function 1 (Fig.l.34c)34c. 146 Table 1.2) TwinspaD classification GP4 147 of Date Croup 4 eaap1es ..... _0'1'% SPEC K17.05HN , 1\10.05HS C17.05HN C24. 05HS C31. 05HN CIO.05HS ;. G24. 05HS " K24.05HS K31. 05HN 024.0SHS 010.0SHS 510. 05HS S24. 05HS 031. OSHN GI0. 05HS G31. 05HN I K31.0SLN 017.0SHN SI7.0SHN S31. 05HN KI0.0SLS KI7.0SLN K24.0SLS 024.05LS S24.0SLS FIO.OSHS .. F24.0SHS F31. OSHN . CENT RAMI. '1'EItELAltV '1'EMO LONG Cllt •• Avr rOL t CILI PSEU "-'::1 w",,~i. ELON I . . D.,1 ..., •• CAPS OI'lR SIM% LITT CAPS I J LITT HARP SPEC CEN'I' RAMI. PSEU ELON '1'EMO LONG EUltY Ar'I alVA LAItV 'lEItE LARV alVA LAltV .0'1'1 SPEC NE ....E ETEO LoA;:''' LA.V Io.!J FI7.CSHN FI7.0SLN 831. OSLN F24. OSLS F31.05LN •017. 05LN 510. OSLSa DIO.OSLS FI0.05LSr---------~ S17.0SLN EVitt t------ .... EUltr Figure Ar'l 10"% MAltA WIltE MAltA WlltE 1.:34 a Dendrogram of Group4 samples classified by Twinspan. Indicator species for each division shown. 148 AXIS 2 ....~ U1 In r.5:1 ~I co iSJ '-II t'.J In aSl - ...~ (." t~ ts:I ~ 1",,) I",.l N U1 U1 ~ a> O~ f;'o 0 t:! J_l (01 :::- Cd ~ cr' (I (0 0 (T) r..::!:l VI \II I:-J ~ r.!1 .:1 "'-" ;U (f) > ::I , -u r Cl I m w . of:; ,~o' I r --i kl 1 ~ Q ::lJ 0 .-, '-' • -- ~ ;51 - ..:v O Cl ~ to ~ 0 -, 0 .c- _0 C.I1 - n Cl !:t (:=;t - 0 m t:' '" Cl ~ • 0' to> -t: () E>' ((I r, ,,' ~ -i>(1 ~ X ..... - ~ :100 I') 0 ~ .l> l:o~ V\ N c:;"l -0 cI o .t~ \l\ er- CO ",0 CD 'OQ 0 - 0 0 '" ~0 1',) 0 ~ (51 1",,) ~ lSI Figure 1.:34 b Decorana ordination of Group4 samples on first two axes. 149 o • t t • ,. o ..I C N • t 4 t • • ,. C • L 2 D I S C .. ' -2 + • + • • • • • + • • • • + -" + • N o • • • U C T I • • • N T • • 0 I , • • • + I A N t • • t R M • • t -4 N 2 • • • • • • • • • • + • • • • X • • • • X x ••••••••••••••.••••••••••••••••• DUT -0 -2 0 2 X • " MOA GP. TS UNIVERSITY OF STIRLING .-OEC-IIII 141S0152 CLASSIFICATION ACTUAL ~••••••••••••••••••••••••••••••••••••••••••••••• -4 RESULTS HO. OF CASES GROUP Figure - 1.34 e PREDICTED GROUP MEMBERSHIP 123 M D A' ~ ('0 \.l P 4- 1.50 4 OUT Date Group 7 (September 1982) Date group 7 contained 39 samples. DCA ordination showed that axis 1 was considerably stronger than axis 2 (Fig.1.35b), with some indication of a cluster at low axis 1 scores. All variables except Chla , AR and Disch were significantly correlated with axis 1, and none with axis 2. The major level 1 division in TS classification the DCA ordination corresponds to (Table 1.24), with level three groups 1,2,3 and 4 matching the cluster noted above. The pattern of tidal sorting of samples (Fig.1.35a) corresponded closely to that observed in Date group 4; The frequency of marine/neritic taxa and meroplanktonic larvae declined from group 1 to 4, with only A.tonsa, Polydora larvae, and cirripede nauplii being represented in groups 5~8. Groups 5-8 were characterised by increased frequency of occurrence of Rotifera and the presence of freshwater taxa absent from groups 1-4. MDA was conducted on TS level 2 classification (four groups). All variables except Chla had significant F-ratios (Table 1.10). Sal, Dist, %org and tide were associated with function 1, and Inor, Phaeo, and AR were associated with function 2 (Table ). 97.5% of the variance was explained by the first two discriminant functions (Table 1.11b). and 91.7% of samples were correctly reclassifi~d (Table 1.11b). Groups 1-4 1~ (TS 1/Z.3/4,5/6,7/8) were Table 1.24 Twinspan classification of Date Group 7 samples GP7 32 ~~~~ __ ~~-r~ ~~~ __-+-L~~~~~O~O~O~O~ 21 24 - 30 - ~2 20 00010 00010 00010 00010 00011 23 000 1 16 001 001 17 18 ~~~~ -+~~ ~~ ~~ __~ __ ~~O~O~l~ b 0100 9 28 qO 0100 0100 0101 0101 39 011 ql 10 10 27 10 110 '110 4 5 1 1110 111 0 1110 1110 1111 1111 1111 1111 • 152 ) COb.OqHS KOb.09HS C20.0qHS G20.0qHS fOb,OQHS D20,09HS G13,OqHN 013.0QHN K13.0qLN C13,OqHN ~13,OqHN C27.0qHN K27.0QHN OOb.OQHS SOb.OQtlS.. S13.0QHN Q20,09LS S27.0QHN COb.OqLS D13.0QLN K27.0QLN S13.0QLN S20.0QHS K20.0QLS SOb.OQLS F27.0QHN S27.09LN F27.0QLN F,13.0QHN F13.0QLN F20.0QLS 027.0QHN 027.0QLN S20,OQLS ~Ob.OQHS 1-------' fOb.OqLS 01 xe 1:)101 PSEU ELON LITT CAPS '1'EKO LORG o:nH SI"1 OlltO PLEV - }-- REO" CUlT SAGJ lRTE BAKA ACAR LORG ILEG OITH CIRIt POLY CIlia PSIV ACAR CIIR R. POLY <:11.1 S Ii'll N AVP C ILl C IPa E LOR CLAU - - ACAR POLY NEOM '1'ORS CILI I.TE - EVRY 1t0Tl II1.i ).,,: 01"1' (1).C ~------1 ~ ~ lUOK DArK ACAR CHYD SPEC CYCL SPEC A' '1 SP Ee lIfTE SPEC INER Dendrogram of Group7 samples classified species for each division shown. 15) . by Twinspan. Indicator AXIS 2 CS) .... ,.,J U1 U1 ~ co '.3 U1 cS) - - - N lA ~ U1 (n ~ t.J N cs:) N ~ lA N U1 c:tI CIl \II O~ (,) ~ - 0 ~ 0 ).a ~ ~OQS -... 0 > >< (./) ,.0 (r.r - 0 j:l 0 0 ~ 10 ~ 0 0 ~ r,:J m n c::e ;:u I..IJ > ~ _. 0 CD \I' Cl ." r ... m -e: 0 Cl ::0 ~; .J - N ~ C'\ -0 .....,J 0 ~ - \II 0 ~ 0 ~ (fJ Q N "" ~O -I:' ~ "- 00 o~ - • ~ V' (J1 0 0 ~O (SI 0 uI (1'"0 Q,. ~ I Oi (SI -0 tv "'0 ..la. Ci) ~ N '-l lSI - 0 va "'\ 0 ~ r: 0 -D 0 (I.l ~ 0 co 0 \.II N -P r.!I co Decorana ordination of Group7 samples on first two axes. l~ •••••••••••••••••••••••••••••• t •••••••••••••••••••••••••••••••••••••••••••••••••• X X • • •• C •• • A N . • • o .. "I C A L •• • • e • l t I I S C • R I N A N T , .. • t • • • -2 U \ • t 2 2 • t • C T I N 2 * ' N e (J"--~ 0 t 1 • J __ ..~ • • • II • \ • • t -- +• 2 -. • • • • + • • • + ..• • • • • X • )C x ••••••••••••••••••• OUT .-OEc-a15.00.21 -6 + •••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• -4 -2 0 . Z ~OA GPJ Ta UNIVERSITY OF STIRLING DEC VAx-II/JaO VMS Vl.6 CLASSIFICATION RESULTS • MDA· Group 7 ISS 4 6 OUT correctly ordered on the first discriminant 1/2 axis (Fig.1.35c). TS (lower estuary, high spring tides) were separated from tS 3/4 on axis 2 by virtue of lower inorganic suspended solids, lower phaeopigments, and a more viable phytoplankton population. Date Group 8 (November 1982) This group contained 36 samples. DCA sample scores were more dispersed on axis 1 than on axis 2 (Fig.1.36b), with a tight cluster at an axis 1 score of about 150. Only Dist, Tide and Sal were significantly 1, and no variables were significantly correlated with axis correlated with axis 2 (Table 1.14). TS classification was carried to level 3. Temora was the indicator for one side of the major division, and Diaptomus and Neomysis for the other. Neomysis was the only frequently-occurring species in groups 4-6; freshwater taxa were only sparsely represented in this sample set. Group 1 was notable for the co-occurrence of five of the 6 Acartia species present in the Forth, and also contained samples with Oikopleura and Sagitta. Temora, Pseudocalanus, Oithona and cirri pede nauplii were present in almost all samples in groups 1-3. Group 2 was distinguished from groups 1 and 3 primarily by the absence of 1~ A.tonsa and A.bifilosa inermis. 5amlples were again clearly sorted by tide in the classification high tide and Kincardine, (Fig.l.36a); 1-3 were mainly Culross and 5kinflats, while 4-6 were mainly low tides and Fallin, 5.Alloa and Dunmore. MDA was carried out on four groups defined by T5 at level 2. Dist, Tide, Inorg, Org, Phaeo and Sal had significant (Table 1.10). Sal and Dist were F-ratios associated with function 1 (Table 1.11a) and Phaeo and Inor with function 2. 96.7% of the variance was explained by the first two discriminant of samples were successfully reclassified groups were clearly distinguished functions, and 97.2% (Table 1.11b). The sample in discriminant space (Fig.l.36c) on function 1 in terms of salinity and distance from upper tidal limit. Little intelligible discrimination function 2. l~ was apparent on Table 1.25 Twinspan classification GPB 13 ACAR 158 of Date Group 8 aaaples C03.. llHS K03.11HS G09.1IHN IK23. 11HN K09.11HN K16. I1HS C23. IlHN D03.11HS D09.11HN Clb.llHS m s. IIHS 003.1lHS C09., llHN Gib. IlHS 023. llHN K09. llLN I023. llHN K23. 11LN S23.·llLN 509. llLN 516. IlLS Fl6. llLS 003. IlLS S03. IlLS F03. IlLS F09.11HN F03.11H5 Kib. IlLS ; Dlb. IlLS I 023 11LN 503. I1HS 009. llLN S16.11HS IIHN I) S09. F09. 11LN ] ACA. POLY LOlfG ''I'IMO LOlfG CILI - luay ACAa SAGI APrl una ELEG REOM IIITE DAPH SPEC 805M SPEC . 11£0M 11fT!: BARP SPEC 1 lun I·i------~ CJltD cyer. %.AlV SPEC SPEC J DIAP _IIAC 8£OM IR'n .--J 523.11HN Dendrogram of GroupS samples classified species for each division shown • • 15) by Twinspan. Indicator AXIS 2 h.) ~ CJ "-.) U1 ",3 (J1 ~ U1 0 ~ cr. (f) 'l Ci) ~ U1 UI ~ N '-" ~ U1 Os ('I 0 ~ ~ Cl (, .;(I V r':;:' ~ 0 0° rJ"J tV UI ~ ::. Q (.j > >< ....... N 0 '" tV ID v- 0 m c n ~ C) A1 0 ..Q (;~ :> :::I (J) -u r ~I 0 ~ ." m 0 :::0 -J c -" ro CJ ~ ,.. Or "'00,", ...a CJI ",0 ~O~O;~ 000 ~ c- to tV 0 ~ C'\ -0 Cl) If\ ...a CO ~ ~O ..,0 0 N ...a ~ 0 ~ • 0 \i\ 0 ~ V --o Decorana ordination of GroupS samples on first two axes. 160 ,.. ,.. ,.. r ••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• x X • • • • • • • • r- ,.. r- ,.. ,.. ,.. ." C A N 0 N r 0 •• S C A ,.. N A r r 0 II -2 f u ,. T I 0 • • • t • • • • • t • • • • I/~ \ .] i. • • "C -II 3] 1 ] • 'J . S J • •• • •• • • • ••• • " 2 •• ,.. • • • • ,.. • • • • , ••••••••• + ••••••••• +•••••••••••••••••••••••••••• ~•••••••••••••••••••••••••••••• X OUT .-OEC·U 15137150 ,.. 3 •• • T ,. ,.. .. 2 r .. . ,. • C A L ,.. ,.. •• t -. -II -2 "'OA GPA Ta UNIVERSITY OF STIRLING CLASSIFICATION RESULTS Figure 1.:36 e 0 DEC VAX-Il/JIO - MD!: Group 8 161 2 VMS VJ •• • • • OUT Tidal state (High, Low, Spring, Neap etc.) Correlations between DCA axis scores and environmental variables are summarised in Table 1.12. As with other sample categories, axis 1 was most strongly related to most variables, especially to Dist, Sal, and Temp. Suspended particulate characteristics were most strongly related to axis scores in the high spring tide category. On axis 2, Date was the most consistently correlated variable. Chla was most strongly correlated with axis scores in the low Spring tide category. Between 71.5% and 93.6% of variance was accounted for by the first two discriminant functions (Table 1.11b), and between 70.3% and 90.9% of samples were correctly reclassified (Table 1.11b). Fucntion 1 invariably accounted for more variance than function 2; the difference was least in the Spring tide category and greatest in the Low spring tide category. Of the variables considered, only Inorg, Org, And Phaeo did not have significant F-ratios for the majority of categories (Table 1.10). Vith the exception of the High spring and Low spring categories, Sal and Dist were the most influential variables on 1.11a). Date and Disch ~ere most consistently function 2. MDA' function 1 (Table a~sociated with Variables were projected onto discriminant space for all-sample, high, low, spring, and neap categories; further subdivision of tidal state did not recover additional useful information. For the purposes of vector projection, variables have been labelled as follows: a Distance from upper tidal limit b Date (decimal) c Discharge of freshwater into the estuary d Inorganic suspended solids e Organic content of suspended solids f ~hlorophyll a g Phaeopigments h Acid ratio i Salinity j Temperature k Tidal state 16) High tide THe TS indicators for the major level 1 division were Rotifera on one side versus Polydora, cirri pede nauplii,Temora, Pseudocalanus Oithona and on the other (Table 1.26). Maranzelleria forms created a distinct cluster of samples which formed groups 5 and 6 at level three, as did the freshwater taxa Daphnia, Bosmina and Diaptomus in group 8. Group 1 was a singleton with very few taxa present except Neomysis in high abundance. Indicators were terebel1id larvae, Centropages, for group 3 cirripede cyprids,nereid larvae and bivalve larvae (Fig.l.37); this group also contained many neritic and marine taxa which occurred in other groups. Group 4 was distinguished from 3 primarily by the absence of terebel1id larvae, Centropages and cirripede cyprids. Littorina capsules and veligers were also less common in group 4 than 3; while both groups had a high frequency of high spring tides, group 3 was identifiable as comprising samples collected in the spring, and group 4 was predominantly composed of samples taken in November and December. MDA (Fig.l.41a, Table 1.11a) shows Date, Dist and Sal vectors most influential, with TS groups 1, 2, 3 and 4 (at level three) separated from 5, 6, 7 and 8 on the basis of Dist and Sal, and 3/4 separated from 5/6 on the basis of date. 1,2 and 4 showed some small positive influence of Chla, AR and Temp, while 3 was associated with %org to a gr€~t€r extent than l~ other groups. Group 3 indicated the association and Temora with lower-estuary, higher-salinity group 4, with a strong Pseudocalanus/Oithona of larval forms conditions, while association was linked to later dates and rather lower salinity. In contrast, Groups 5-8 were associated with a range of dates, tending to later dates from 5 to 8 but also to lower salinities and increased dominance of freshwater taxa. Group 8 showed little date preference, Groups 2 and 3 but a very strong tendency to low salinity. were more strongly influenced than other groups by all variables except Date; 5 and 6 included almost all samples from the third date group and none from any other date group and were , as noted above, characterised by Maranzelleria. ~ The variables of minor influence (e,f,h,j) all tended in the same direction as Sal and Dist. 165 _0. "'''' •• • •• • • • I __ 0' _""cr- I _O~ 0''' .-.-'" I I " N'" _ON IDO ~'" II\cr- ;; ........'"•••• ~o ... ... ... -- ...... ...... .'" •• ", N. ..oN" _..oN ~. .or .,,'" .,ID. N 0 0 0 '-'N '''''N CO 0 0 .,. ."'.'" '''''N ,"'.N 0' ... ""or -- ..... 0 fl G) I ., ::t: L:J t--4 ::t: -NI'-N. _N_ _NO -- ... -0., --11\ __ - ... - __1'-0' 0 ~ "'00' NO - -•• '" N I - -- •• N N I N • I • ••• "'0 '" "''''.0 - N N N N N N N N 0 ..•.-••• ... 11\ "''''N _"'0 ... NII\ -N'" -NN _ ........ --_0'" 0' .... -• I ... "" ............ .... N • N' II -. I I -I I I • I • NI N. N' -I NI '" '0 •• •• • I • I -I • I N N N N I I I I I I -.......... ....•.-• ..eN'" 1_ •• "' .... NN.... I NI. I • ""• ••• '" • • I cr-Cl., N '" •• _00 - • "" ~• ••• ~ •• • •• "" '".,• •• '" ...• """" '""'•....• '"'" ...•• N •• ..oN • I I- ••• ••• •• • I • I - •. • '" •• '"'"- •• • _-N N I I 'N ' N II' N N '" ., or'" N N N • N '" '" N N N N N I • •• •• 't:1 .... ~ ~ ~ ft.I 0 ....6 B tl .... CD ~ (,) I \0 N • ., r-t :a cd ~ lIfE OH .08"' KU ,OeHS alO ,oeMS DOt .04UotS OM INTE 1. r ACI.R TONS <ll .O.~N 01) ,O'HN CII .01"' CII .01"5 Clo .01"' Cl' .01.' coe. 01", kll. O'"N ClO. O'M! C10. OS"' kiO. OSH' Cll. 05HN kll. OS"N OS"' Cl'. en , OSH~ CO2. OIiHN 010. OS., 110. 05JotS Oil. 05HN Cl'. OSH' K24, OSH' LI.RV HI.MA CYPR NER'E '..10, alVA LI.RV TERE CENT CIRR P OLY CILI C IRR NI.UP T EMO LONG 0 ITH SIMI P SEU ELON ""v OZ•• OSH' OS"' OS"" ell. OSH" U'. .U. 07"' '06.0'", _12. lOl. 510. 05H! 011. OSLO TEMO EURY ACAR POLY Go.. 01"' 0.", '1I1.0 060. 0''''5 ."N C21,0 ."N _Z7.0 "H" 1",1 IHN 00',1 I"N ..... 1 DU,l . "". LONG I.FFI INER CILI '"' I"' Cll.1 IHN CI5.1 i"S _15.1 2H' Cll.! i"N IZ1.1 2H" ell.l 2H' 011.1 lH' 'UfO IH, G27.0 COl.1 I"' '"' ,", IHI CO•• 1I"" Dll.1 2"" 001,0 cn.1 In.1 I"' 001.1 IHI e".11 tU.lt GU.l1 "" "'"' "" Gil. II Kll.1I 515.12 HI CU.O. "I Gio.n H, 020.0' "I C2t,08 H, .u,Ot "S I--- "" Cl).o. "" DOl.OO"N' '02,0' "" _01.02 "N ell.OJ "11.03 H' 111.03 "2O.OJ tll.OJ H. "" LITT VELI LITT CAPS MARA EGGS MI.RA TROC MARA WIRE '1'EMO LONG """' .02,'. DII.OJ HI "" '11.03 HI 0,..03 HI '16.0] "I OIl.U" N 'ZO.03H S COl,UH N IIl.03H fl7.ll" "l.IIH S to •• II" 11I.1l" I IU.UM "• • DAPH SPEC N " "'.,01" , .21,01" OZ7.UHN III.U" I 011.12" Ou.ll" Ill.l2" ,• " '".Il" '11.12" OIl.OIH , S Ill,OI" 01',OtH ClZT ,01M 001.02" 116.111'1 ", ROTI •, SPEC ,•, &15.I2H '1I,IlH N 'Ol.O.HN "7.OSHN nl,05H" "'.07"' "',IIHS 101,lIH' on.II"N "',05"' ISI,OS". 10I.01H. '20,0'"5 COl.02HN II' .OSHIrt ".,OSH' 'U.IIH' Cl'.OI~H 11•• 01"• •n,Il"" Figu1'e U7,OIH' ,,).02H" .OS,02"" , .'.OlHN 'l7.0IH' ,lJ.O ....w "7.nH. r ••• s INN '2J.UHH fll.OJ.' '27,"." DIAP 805M DAPB GRAC SPEC SPEC 167 1.37 nend rogram of High t.Lde samples classif ied by Twinspan. Indicator speci es for each division shown. Low tide TS and MDA analyses were carried out to division level three (eight groups). Indicators for the major division were cirripede nauplii and Oithona versus freshwater chydorids and cladocera. Group 1 was composed of samples with joint occurrence of Maranzelleria stages. Group 2 was rather sparse of species and was dominated by high abundance of Eurytemora contained a considerable (Table 1.27). Group 3 number of larval orms (Eteone,Nereis, bivalves, Polydora) but differed from group 2 by virtue of high rotifer abundance. Group 4 included the majority of occurrences and A.tonsa, but only isolated occurrences of cirripede nauplii, Oithona of the larval forms common in group 3. Groups.5-B ~ were characterised by the almost complete absence of the neritic cope pods and benthic larval forms, and by increasing occurrence of freshwater (from 5 to 8) frequency of taxa. Chydorids and cyclopids were, however, largely confined to group 6. The sample sequence (Fig.1.38) showed evidence of strong selection for date in groups 1 and 2. Groups 3 and 4 consisted almost entirely of Kincardine Dunmore samples and differed considerably and in date. Group 5 covered the same time period as 4, but included more S.Alloa samples, while 6 again covered the same general time period as 4 and 5 but included more Fallin samples. Groups 7 and 8 were mainly winter samples, and 8 had the highest relative frequency of Fallin samples. The HDA plot showed, as with high tide samples, that 1,2,3 and 4 were clearly separated from 5,6,7 and 8 on the basis of Dist. Disch, and Sal; the former set of groups had higll€! salinity and the latl@1 were associated with . higher freshwater discharge. The effects of discharge and distance in 1~ distinguishing 4 and 5 can be seen by comparing their taxonomic composition; group 4 (with the majority of September samples) with lower discharge and greater distance from upper tidal limit contained more meroplanktonic larvae, while group 5 contained samples dominated by the more persistent upper-estuary forms Eurytemora,Rotifera and harpacticids. Group 4 was also associated with higher Chla values. Temp and %org were influential in the same direction as Sal and Dist, but Phaeo was more closely linked to Date and Disch. The MDA plot correctly indicated that groups 1,2,3,7 and 8 were distiguished A considerable from 4,5 and 6 by Date. amount of community structure was revealed, despite the fact that 20 out of 88 samples were excluded from the analysis due to incompleteness of the environmental data set. l~ 0000000--0000000000--000-- 0000 0000-- 000000000000000000000 000000000000000000000 co eO N~ N"" .... ~ NCO _0 NO 1-.- - •• •• • •a -"" •• •• ••• •• "" • •• • --- I I I I I -N !!!Sl -0' _eO -&1"1 I I I •• •• • •• 1 I I I • • •• •• •• • I I I I 1 I I 1 1 I I I I I I 1 I I I a I I I I I I I I I I I 1 I 1 I 1 •• • •• •• • I I I I I I I I I I I I I I 1 I I • • •• • • I I 1 I 1 I I I I I I N I I-NN N I I-NN -IN N N I - N-N ,." I I -N --N ,." IN"" ,." I IN"""" INNN N ~ IN-N ,." I ININ •• • • • •• • •• ••• • •• •• I 1 1 I 1 I I •• • 0 NN c:r 0 . -. • ,." • N ,." IN. "" N --I •• •• •• ••• COO .... "" II'CO co- ........ .0"" ....0 I .0 co .... ..01/\ "" 0' .oQ" .00 &n.... 1 _ 0' COli' 100 co "" CON .....0 .... 11' ....N &nO - N 1 1 I I 1 a 1 • ·-.•• 1 a _a • • •• • ••, •• • I 1 • , I I • •• •• -•• ••• · • -. - I .,.,"" _,... •• .0- I • - •• •• • •• • a• •• •• • • • •••• I I I I 1 .;00' • N • ""'" ··-- I I • N __ N I I I I --I I I I 1 I I I I I I I I II I I 1 • a • • aa • • • a• • aa• ••• a••• •• •a •• •a •• • •• • • •• ••• •• ••a • •a •• • • • •......• • • •• •• •• • • •• •• •• • I I • N • I I I I I I 1 I I I I I I I I I • 1-' -a • •• • • • • a• • •• •• • •• •• • • ••• •• •• •• 1 1 1 1 1 I I I I I I .' . ·-. I I I I cO~o-COCO~"OCO-N-~ I I I I I 1 I -- I ~CCC~~~O~CMC~~O~~O~~~ C~~~z~~~~>o~~~~~~%~CC UCCC~O-~WMJC~WM C~~~u~~wzmz~c~ouo~ucc I I -I • II' I __ ~~~::E:::>-Q.JX::E~ C~t-OLIJ~>-UD..(I)C UCM (l)OX,..COM c:r:~ ~~UUQCDO ~-UU .... ~O .... OO'O'O N","'_N""""~~~N""""NO-N'" - 170 N .... N~,o..o _N'" _N_N -0 0 0 ----_0 _0 0 NN NN NN -N I .... •• eO"" CO _ 1-- • •- •• I I I I I I I I I I I I I I I 00--- 0 00000------ N-I\I", 0 0 0 0 0 0 0 0 II 17.0lL'" .- kll.03LS Klo.OlLS 026.03L5 1I02.01lLN CIO.CSLS 5211.113L5 SlC.(;SLS Sl7.C.SL~ Ft 7.CSV., f24.0SL5 S31.C5LN F31.0SLN 017.Cl3LN 002.CIILN 1Il1.0SLN kI0.OSL5 k17.05LN K211.05L5 C18.12LN Oll.OILS 017.0SLI" Cl4.0SL5 511l.0SL5 1Il2.01LS K09.ULN 031.0SlN 009.ULN KU.llLS 016.11LS KIS.IlLS DlS.llLS 515.lll5 Kl3.llLN KU.IlLN K1C;,Cti.N K03.01LN 020.09L5 DO'.09 ..S .O'U SPEC: HAllA WIllE HAllA 'IllOC: HAaA EGGS HA.A WIRE HAitI. 'IllOC: HAllA EGGS C:IRR RAUP 01'1'H SIHI LI'I'1'C:APS POLY CILI E'IEO LAltV ~~~~ \...-'~'J BIVA LAllV ... ....0t'CI .... U ROTl SPEC: OITft sun ACAIt TOBS '0 c:: . H C t'CI Q. (/) ....c:::- C:IllllIAUP 01'1'8 sun ACAll '1'015 c.. >- .0 C13.01!~N K20.09LS 1127.0C1!..!II KI3.09LN K23.IIL~ S24.05HS ua.llL~ f20.01lLS D27.01lLN D03.11L! 501,UL5 51 •• UL5 S23,IILN S13.09LN S09,l1LN 02l.lIL~ 821,12LN 'O.,09LS F13,09LN _UO,09L~ Fl.,IlLS F02.0QLN 10ll,09LS 827,09LN '27.09LN S17.03LN f211,OlLS 102.01lLN "O.OSL! Dll.03LS KU.IZLN S12.0ILS '12.0IL! DZl.IZLN S27.01LS D03.02LN IOl.02LN D27.01LS St9.0ILN K27.01LS , 19. 0 ILr~ '27.01L5 '03.02LrJ DI9.0ILN , 17.00LN '09.IU.PI Sll.OllS Fll.03L5 F2l.12LN ." Cl .... .... \M (/) (/) . t'CI ~ u C :- (/) OJ 0 ~.t:: Q.(/) CRYD CyeL REOK e t'CI C (/)0 SPEC SPEC IR'1'E .... .... OJ (/) ." ....... .... > '0 ~.t:: ~() .C'ICL SPEC: CH'II) SPEC: DIAP GllAC ~QI 0 C:Htl) SPEC: CYCL SPEC DAPR SPEC: BOSH SPEC: lIS ~ e 0 t'CI~ ...be(/) o ....... QI ."C) C QI QI Q. Cl (/) . co r'l ~ 'DIA. DA.H BOSM .DAPH BOSM SPIC: SPEC 171 OltAC SPEC SPEC ... &, .... f:Io (II Spring tide The major division was characterised Oithona,Temora by Pseudocalanus, cirripede nauplii, and Polydora on one side and freshwater taxa on the other (Table 1.28). TS and MDA analyses were carried out to level three (Eight groups ). Group 1 was most clearly defined by the presence of Centropages, contained a large variety of neritic copeopds and meroplanktonic Littorinid eggs and veligers were most faithful to groups land 2 contained a cluster of A.tonsa occurrences but larvae. 3, while group but no terebellid larvae and few Centropages (Table 1.28). Group 3 was defined by a cluster of Haranzelleria occurrences and the absence of A.tonsa. Group 4 differed little from group 3. Group 5 contained, as did group 1, a cluster of samples containing Nereis larvae, but, with the exception of Polydora , lacked frequent occurrences of other larvae and contained virtually no neritic copepods. Group 6was defined by another cluster of Maranzelleria, Littorina egg capsules. Group 7 was characterised associated with by another cluster of samples containing A.tonsa, together with the majority of occurrences of Neomysis; while group 8 was identified by the concentration of occurrences of Daphnia, Bosmina, Diaptomus and chydorids. The dendrogam (Fig.1.39) indicates that groups 1-4 were mainly high tide samples, and almost exclusively Culross. Group lwas from Kincardine, Dunmore, Skinflats and defined by date (May 1982), while group 2 was predominantly composed of samples collected in September and November-January. The association of these temporal groups is a feature common to all the tidal , categories considered thus far. Group 5 consisted of ~ mixture of predominantl~ included representatives of all upper-estuary 172 autumn and winter samples, stations but excluded Culross oco ... ................... cooo ....... 00 ............ 00- ... - .... 000 000000000000 000 000000 000000 0000000 000000 000000 ~ .... .... .., .... '" N~ "I.... N'" ... ~ ....................... ......... ........• • ••• ••• ....•• •• .. a ...• • I -e> ----............... ... ............ 0 ........... _ ruN' .... • •a•• ............ , "'N' • "' ........ NN N' NN NN. "'NN. "'N' I "IN ..... N .... N. ~N .... "'N • •• N N • ~N • I • NN I • • N"'N • .,'" NN NO ." 0 0 ca ~ --_0........ ..• ..••• I ... _N - •• • ~ 10 '"~ i ~ or4 +l t() u en f+-i l!J 0 Z ~ s 0:: or4 Q.. ~ Vl 0 t! or4 ca :J r-I 0 · - .. - N .... N. "'.... N ... ............... ....... -.... • • ...... -I --_0_ _0 0' .... N -'",..~ ... -a ... I a • I •• • I IN • N • • a I "I • N I • i ! GO N • N' r-I "I • .!l NI NI ........ 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OS"S 02#.051.5 UI.OSl)- .to .r u s OSO.lllS ·IS.lllS SII.ll"' "1.11HS - I--- DU.CIMS 112,01"" '12.01"' Cil. e n s S11.01lS 027,01"" II'.II"S 115.12"S 015,U\.' , I 0 .OSlS '2~.05\.S 10e.OlkS 'OI.Ol.S 111.0}HS SH.Ol"' 1211,011.' 02.,0)\.S It'I,O)\.5 DII.OILS fl'.O)"' U'.OILS Ol.,08 .... S lu.oe"S aOt,O.Ha OOIl.O.\., DlD.OOLS I20,04l14a .20.0'LI 'Z',O,HS ,0',0'HS '0).1 tL.t 'DJ.II"' DOl.IILS 10).11\.5 It ••ilLS '11.I2.S ·21,OIHS no.oOLS "~.O'LS IOl.II"S IIS.12LS O'LS HARP EURY "ARA NHt: SPEC AFYI WIRE 805M DIAP SPEC GRAC lA.~V MARA WIRF. MAllA EGGS ACAR A CAR TONS LONG ao •• ,o,.o.\., 'I •• ilLS 'll.OILS Kl7.0ILS U7.0ILS Il7.0I-S "7.01,",' 021.Oll1 Ill.OILS 'II.OJ"S 111.OILS , II.OILS 'h.CSLS F1~ DAPH BOSH SPEC SPEC 1.)9 Dendrogram Indicator of Spring tide samples species classified for each division 174 shown. by Twinspan. and Skinflats. Group 6 is confined to March 1982 and mainly low tides. Group 7 is a mixture of predominantly autumn and winter samples, mainly low tide and with a bias towards the upper estuary stations, and group 8 continues this trend with an increased representation of Fallin an S.Alloa samples. The MDA plot (Fig.1.42a) reflects the above observations clearly; the noted simialrity between groups 1 and 2, and also between 3 and 4, is welldefined. The vectors correctly indicate that these two pairs should differ most in respect of AR, Chla, Temp and Date, but little in respect of Sal. Dist, %org and Sal are clearly aligned, are virtually orthogonal to Date an~ Disch (which are opposite to each other), and act in the opposite .,. direction to Inor and Phaeo. Chla is aligned with Date, and helps to distinguish groups 5 and 7 from 3,4 and 6. Groups 3,4 and 6 are in fact all samples taken in March 1982. Neap tide The pattern for neap tides was similar to that for spring tides (Table 1.29, Fig.1.40) but with a more restricted occurrence and abundance of most larval taxa. TS and MDA were carried out to level three division, producing eight groups. The major division \.IW.' characterised by c i rr i nede nauplii on one side and 175 and Neomysis, Diaptomus, Bosmina, Daphnia on the other. At level three, groups 1 and 2 contained most occurrences of polychaete larvae. Centropages was confined to group 2. Groups 3 and 4 contained few larvae other than Polydora and Haranzelleria, but Pseudocalanus, cirripede nauplii were moderately well-represented. Temora, Oithona and The highest Eurytemora and rotifer abundances occurred in group 4. Groups 5 and 6 were distinguished by Daphnia, Bosmina and Diaptomus, with some occurrences of Neomysis. Few taxa were present in samples in groups 7 and 8; Neomysis was the species most diagnostic of group 7. The pattern of sample clustering by attribute was similar to that noted already for other categories; groups 1-4 tended to be associated with seaward stations, groups 5-8 with landward stations, with a similar trend for tidal state. Sorting by date was most marked in groups 1-4. HDA illustrated the contrast between spring and neap tides (Fig.l.42b). The relative magnitude and direction of influence of variables was similar (although Date and Disch were antagonistic on spring tides and similar on neap tides), but neap tide group centroids were less widely dispersed; 5,6 and 7 especially differed little in location. Disch was the variable which best distinguished 8 from 5,6, and 7, and accounts for the concentration of freshwater taxa in the latter. On neap tides, the importance of distance relative to salinity increases. %org was still aligned with these two variables, but Temp was also more aligned with them than on spring tides. Date and Disch were, as in previous categories, almost orthogonal to th~ major spatial variables. Groups 1 and 3 differ from 2 and 4 in these l~P€cts, and this separation seems to relate to Oithona in the former pair (autumn/winter) and high abundance of Eurytemora and Rotifera in the latter (winter to spring). 176 ~~~~~~~~~~~- ~~~~~~~~;oooooooooo--pooooooooooo~~ 0000000000,00 po-~-- _ ~-oooo~_~ oooooooooooooooooooooooooo~---~----I I I I I I I I I I ,.,'" I I I I I I I ~r:r -I\. • _e~ • ! I r:r>:l - "''' i I i ! ! ,.... r 0-" .... r:r "'''' -~ "'.I' : I I I I I I I I I I I - , I I I I I I I ~ C " ;: ,r;., Nr:r ~ .... .........o- I I I I ~- I\.r<>0 '" '" "'...... 0 "'cc _r:r - .e'" .~ , • • _ I • I -. 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Il ... • ••1.lll' ""te l..cl), ROT1 SPEC 11.. ' '21." "',01100' '°2.'°°", :;02. , ..... '0).01"'" '17,05"" S)J.O'\I.'" , 11. O!.L' "0).01 .. c t t , tl .. CI'.O) MARA LITT WIRE CAPS .. -, SI'.t lw" tl7.Cllv· Ool.G,,":. I r 'Cl,' _;;"', ~l ~..;:-. t~l .•• -· .O~ .0 ....•· I I I :~;:~~J ;;~:~:~:1 :;::;;~ i '0',11"'''' I In. ii _. 0 51',Oll' , ~'. 0 I L" SI1.01L , PtO:!!'. Sl'J,0'" 10',' h. I, tll.llL N ,, 1 i I BOSJII SPEC DAPH DIAP SPEC GRAC -, P)',OIIo4 DAPH SPEC BOSM SPEC DIAl' GRAC • , 10),01'" '0 ,O),02L. '~l.OlL s. "'.Il" 'Il, Ill. , UtO'\. f, N ',1.0....•• ·•• 11',O.\. Ill. III .00l '".Ollot 0": ,,! I 'U,O'L CYCL CHYD SPEC SPEC DAPH SPEC 0 OU.OOL " Ill.'" 023.lll h h • ", Oil. '1" II! .O~l 'U.O'u 021."l 'DlAP GJtAC BOSM SPEC 0 11I.lll o. 'SI.UN h IS4I.otH f, '".II" ""tot ... Oll.~~l D",lll • 'II. Ill. EURY A"I'I REOM INTE itO'll SPEC · N N 11'.'I"~ COl.02"''' .U.02IoH OO).OIL'" Ill. Ill' , CYCL , SPEC '02.0."'''' 102.0-\.'" , l' .O!!"'" 'P.'~L', '",05'" 027.0."'k Figure 1.40 Dendrogram of Neap tide samples classified by Twinspan. Indicator species for each division shown. 178 6 a) 4 2 o 8 6 -2~--~~--~~ -4 -2 __ -: 0 2 __ 4 b) .' Figure 1.41 Vector plots for a) high tide samples and b) low tide' samples showing the location of the centroids of 8 Twinspan groups ordinated in Discriminant space on the basis of sample 'environmental' attributes. Vectors indicate positive direction and relative magnitude of influence of variables in discriminating between groups. Vector labels indicated in text. 179 ·6 8 It 6 a) 3 e 4 ~PQ Ip..)G "'1""\'01:;" 2 8 <CD 0 7 5 2 1 -2 -It-- __----~------~----~---- o -3 4 o· 2 __----~----~ 4 6 b) 8 __-- ___ 10 12 N ~ Ft P -rr:>G ~ 2 $7 0 1 3 6 5 ® 8 -2 4 -3 0 2 4 6 Figure 1.42 Vector plots for a) spring tide samples and b) neap tide samples showing the location of the centroids of 8 Twinspan groups ordinated in Discriminant space on the basis of sample 'environmental' attributes. Vectors indicate positive direction and relative magnitude of influence of variables in discriminating between groups. Vector labels indicated in text. 180 8 10 Chapter 2 - Me~ure.ents of developMent rate in E. affinis .' Experiments were carried out in June and July 1983 and Harch-Hay to measure the development of temperatures representative 20 deg.C, Figs.1.3-1.5). food at approximately of conditions in estuary water at a range in the Forth estuary( 8 deg.C- Attempts were made to maintain lighting,salinity and natural levels. Experiment A preliminary ~ rates of E.affinis 1984 1 : Development rates in mass culture study was conducted in June-July 1983 to establish feasibility of culturing E.affinis particulate material. A variety of methods have been described following the development the in estuary water on natural suspended of copepods through successive for instars; these range from the regular sacrifice of replicate cultures (Heinle 1966) to the repeated subsampling of a continuous culture (Vidal, 1980a). The latter method was adopted in the first instance in this study as offering the expectation Egg-sac-bearing of a more exact relationship between successive samples. female E.affinis were obtained by hand-net at S.Alloa(Fig.1.2) Animals collected in the net were washed gently into the cod-end and decanted into a 1 litre container. half-filled with habitat water.Salinity temperature during sampling were continuously temperature-salinity and monitored using an MC5 bridge. A 25 1 water sample was collected when the salinity was between 14%0 and 16%0. Temperature deg.C during sampling. 181 was between 15 deg.C and 17.5 The copepod container was placed in a cool-box, and transferred to the laboratory within 1 hour of collection. Animals were sorted immediately on arrival,in a CT romm at 15 deg.C, using a Perspex sorting device (Nival and Nival 1970). Copepods were drawn into the observation siphon from a reservoir; chamber by the chamber acted as a tap by means of which individuals could be directed either to a collecting vessel or to waste. 200 egg-sac-bearing female E.affinis were sorted in this manner without sustaining visible damage. A 1 litre sample of habitat water was filtered onto a pre-ashed, tared, Vhatman GF/C filter. The filter was rinsed 3 times with 10 ml distilled water, dried at 60 deg.C for 24h and weighed after cooling in a dessicator. Following this,the filter was ashed for 6h at 450 deg.C and re-weighed. ~ A blank filter (filtered seawater only) was subjected to the same treatment. Dry and ash weights were corrected for blank values, and ash-free dry weight calculated as mg/l. The remaining 24 litres of water sample was screened through 69 um nylon mesh to remove microzooplankton, and held in dim light at 15 deg.C until required. Vidal (1980) followed development of Calanus and Pseudocalanus in 10 1 vessels from which 10% of the population was subsampled at varying intervals. In the present experiment, 2 litre vessels were established at 15 deg.C and 20 deg.C, using well-mixed habitat water (15 +/- 1 %0) screened and held as described above. 15 deg.C water was allowed to acclimate to 20 deg.C for 24h before use. Initial suspended solids were estimated to be 75 mg/l. Suspended solids levels in the culture vessels were not monitored during the experiment. 182 On 26.6.83, 100 egg-bearing females were added to a vessel at each temperature. The 15 deg.C vessel was maintained cycle adjusted to contemporary under ambient lab. conditions in a cooled incubator with the lighting conditions. The 20 deg.C vessel was maintained and was therefore subject to less control. Both vessels were covered to minimise salinity changes, and were topped up to where necessary to a marked level with distilled water before sampling took place. Vessel contents were not mixed between sampling events, and particulate material eventually settled out on the bottom of the vessels. Each vessel was sampled at intervals of approximately at mid-afternoon. Vessel contents were well-mixed, one and three days, and S% of the volume sampled by rapidly immersing and filling a 100ml beaker. The contents of the beaker w~re preserved by the addition of Steedman's solution to a final concentration by decanting of 4% and were subsequently through a 100 ml polystyrene concentrated to a volume of 5 ml vessel with 69 um mesh-covered holes near the base. The sample was then counted, and specimens identified to developmental stage. The descriptions by Katona (1971) were followed carefully, of ins tar characteristics given to minimise the possibility of including ins tars of other species which may have been included as eggs in the initial inoculum. Following sampling, the 24 I reservoir was thoroughly agitated and a 100 ml sample withdrawn and added as replacement to each culture vessel. The experiment was terminated in each vessel when either a cohort appeared to have reached adulthood, or no remaining animals could be detected •. Experiment 2 development rates at four temperatures and two food levels Between 26.3.84 and 21.5.84, development rate in E.affinis was investigated in greater detail and under more carefully controlled Throughout this series of tests, regular collections and realistic conditions. of habitat water were made in order to maintain a degree of coupling between the laboratory and estuarine systems. Development rate was measured at four temperatures (8,12,16 and 20 deg.C) and at two food levels (10 and 50 mgll natural suspended particulate material). The range of temperatures spanned, within practical limits, the greater. part of the range experiences ~ annually in the Forth. Temperatures 5,10,15 and 20 deg.C would have been preferable and permitting of <as spanning a wider range a more direct comparison with the literature), ·but it was not feasible to achieve a temperature lower than 8 deg.C with the available facilities. The food levels were chosen to reflect the range typical of Forth nearshore waters under calm, slackwater conditions (see results of field survey). Neither food level was expected to be limiting in terms of available energy and nutrients; particulate measurements in 1982 indicated that the organic content of suspended material never fell below 9.7% and was commonly 20-25%. If half of the organic content is assumed to be carbon, then a minimum of approximately ugll would have been available initially in any treatment. This matches the highest feeding level used by, for instance, Klein Breteler et al (1982) in their study of the growth and development calanoids. The nutritional of four species of North Sea quality of t~e suspended particulate not known, but field observations had shown previously l~ material was that the estuary could 500 support locally substantial productivity. populations during periods of low primary At each temperature, cultures were replicated four times at the higher food level and twice at the lower food level. Adult female E.affinis with eggs in their body cavities and bearing spermatophores were obtained and sorted as described above, from S. Alloa on 23.3.84. A further sample of males and females were held as stock for re-mating. Salinity was 12.6 %0 and the temperature 8.5 deg.C. Females were placed individually in 5 ml of habitat water in tissue culture plates, held in a cooled incubator at 8 deg.C, and observed daily until egg sacs were produced. When sufficient eggs had been produced to initiate a test at,one temperature, the egg-bearing females were transferred vessels in an incubator or C.T. room at the appropriate and the vessels allowed to equilibrate. to 20 ml experimental temperature These vessels were examined daily at 1000 h and all nauplii present collected with a Pasteur pipette with a tip drawn out to a diameter of approximately 24h age were used per experimental 100 um. 600 naupliiof less than temperature. Each of the six vessels used to investigate naupliar development at each temperature diametrically consisted of a 120 ml ploystyrene jar with 2 1cm holes cut opposite each other 5 mm from the base. The holes were covered with 69 urn mesh nylon net, and permitted the vessels to be gently drained and the nauplii concentrated observation, into a small volume of water. This facilitated sampling, and the changing of water. Vhen development to the first copepodite stage had been completed, animals were transferred to 69 urn mesh net cylinders of approximately 18S 500 ml volume. These cylinders were equipped with a clear polystyrene dish) into which the copepodites could be concentrated. base (90 mm Petri The cylinders were stiffened with glass rods to enable them to stand upright in the culture medium. The development vessels were placed in polythene baths of 101 capacity, which were filled to a depth of 1 cm less than the vessels' height with with 69-um screened habitat water. This water had been adjusted with 1.2 um filtered river water (0 %0) to a salinity of 15 %0. Further adjustments were made with either a filtered volume of this 15 %0 mixture or with resuspended filter contents to produce a nominal suspended particulate concentration of 10 or 50 mg/l. Suspended solids determinations ~ were carried out on the source water as described previously, but the accuracy of the suspended solids adjustment was not routinely verified. As the vessels were placed in the tanks, they rapidly filled with water and suspended particles. To maintain the paticulate material in suspension and ensure circulation a through the vessels, each tank was equipped with small centrifugal pump (Eheim aquarium pump, 41/min. flow rate). The pump abstracted water from one end of the tank, and returned it via a simple manifold to the other end. Preliminary testing with Rose Bengal dye introduced via a Pasteur pipette indicated that this was sufficient to generate gentle water flow through the development vessels and to ensure even temperature distribution. Expanded polystyrene and attenuated approximately sheets were arranged over the vessels, and these diffused the overhead lighting (natural light/dark cycle) to 1.2 Lux (Leakey, 1983). The water in the baths was replaced every 48h, from stock water collected weekly at high tide at S.Alloa and Stirling. This water was adjusted approximately experimental the appropriate day. Chlorophyll to establish successive temperature. salinity and particulate content, and stored at Stock water was mixed vigourously a concentrations to twice per were measured for each batch of stock water if any increase in primary production had occurred between collections. Tests were initiated by the addition of 100 nauplii to each of the 6 vessels at a given temperature. subjected Two of the 50 mgll replicates to detailed monitoring. at each temperature were This took place at 2-day intervals at 8 deg.C, one-day. intervals at 12 and 16 deg.C, and 12h intervals at 20 deg.C. Test ~ vessels were gently removed from their tanks, concentrating the animals within into a small volume of water. In the copepodite development vessels, a wash bottle filled with tank water was used to gently rinse animals down the mesh into the base dish. Animals were aspirated gently into a Pasteur pipette with a 90 degree bend 2 cm from the tip. The pipette was connected by a length of silicone rubber tubing to a rubber bulb which could be compressed by a screw clamp (Boleyn 1967). The Pasteur pipette tip was placed flat on the base of a Petri dish containing tank water, and the animals expressed slowly, one or two at a time, into the dish. Copepods in the last 2 cm of the pipette were observed at 100x magnification and their developmental .stage recorded with the aid of a bank of tally counters labelled for each stage. A minimum of 50 individuals were staged on each occasion. The two remaining high-food replicates, maintained and the two low-food replicates, were as controls for handling effects on development 1~ rate and mortality. These vessels were only drained gently and checked at low power for the first appearance of copepodite stages 1 and 6. The test continued at each temperature until all specimens in a sample were adult. C.T. room temperature and tank water temperature were recorded daily. Egg development rates were estimated separately. Thirty mated females were held individually in 2ml tissue culture well plates, and observed at 12 h (16 and 20 deg.C) or 24h (8 deg.C) intervals. The approximate sac production and naupliar hatching were recorded. 1M times of egg Results Preliminary experiment: development rates in mass culture at 15 and 20 deg.C The preliminary experiment was of limited success. The 20 deg.C culture collapsed after 14 days, following the first appearance of c4 copepodites. Naupliar development rates appeared relatively constant between ins tars; the first cl individuals appeared after 5 days. Subsequently, development proceeded to c3 in a further 4 days before stagnating during the remaining 6 days. Development was more complete at 15 deg.C (Fig.2.1). The culture was terminated after 30 days, following the first appearance of adults of both sexes on day 27. A small number of adult females were recorded on days 20 and 23, earlier appearances of adult females were attributed to the initial inoculum. Individuals were widely distributed amongst stages on most days. The first copepodites were present in samples between 6 and 9 days, with c3 copepodites appearing on the 12th day. Total copepodite development be approximately twice total naupliar development The persistence of early developmental time. stages throughout the experiment may indicate that a male or males were inadvertently included in the initial inoculum, and that some ~f the females were subsequently l~ time thus appeared to re-mated. • r • ·,' fl-JL L1..., r::,• .... ,......, ) CJ 190 • r-f • N Experiment 2 : Development of cohorts at two food levels and four temperatures Primary production Chlorophyll a concentrations in sample water did not exceed 4.7 ug/l during the experiment. Comparison of development and survival between replicates and food levels The date of first appearance of cl and c6 stages was recorded for each of the 6 vessels at each of 4 temperatures (Table 2.1). The comparisons of most interest are a) between high-food replicates subjected to detailed monitoring and those followed with minimal disturbance and b) between either high-food category and the low-food replicates. A full comparison was not possible for b) at 16 and 20 deg.C as the appearance of cl individuals was missed. It is nevertheless discernible apparent that neither handling nor food level had systematic effect on development handling or lower food availability rates; specifically, any repeated did not impede development with respect to animals subjected to minimal handling or fed ad lib. Overall, survival ranged from 59% (16 deg.C, high food) to 86% (12 deg.C, high food)(Table 2.2). Females constituted between 45% and 58% of the final population. There was no trend in survivorship between high and low-food treatments or between temperatures. 191 Table 1.. 0 \ Day of first appearance of copepodite 1 and copepodite 6 stages at 4 temperatures and two food levels. earliest day for combined replicate counts underlined. TEMPERATURE (oC) soon LEVEL (mg/l) 10 50 8 o' cl c6 cl c6 15 33 17 35 17 33 17 35 12 .l2 12 9 21 .. 10 22 22 -8 16 20 5 14 6 15 -6 14 9 23 10 - 23 14 15 5.5 13.0 - 13.0 5.5 13.5 - 14.0 !h..2 14.0 192 Table 2.2 Percent survival and percent adult female 1n replicate trials conducted at four temperatures and two food levels Food level High Low Percent survival (% female in brackets) 8 12 16 1 76(52) 86(58) 73(54) 80(49) 2 74(48) 64(50) 63(56) 68(53) 3 60(51) 71(47) 83(53) 67(46) 4 76(55) 65(53) 59(48) 64(52) 1 66(49) 77(47) 71(52) 72(57) 2 79(45) 69(49) 75(55) 66(50) 20 .,' In the light of the above observations it was considered justifiable to proceed to estimate stage durations from the combined counts of the two more intensively-monitored high-food replicates at each temperature. Estimation of egg development times , Successful development of eggs occurred only at three temperatures (Table 2.3); 8,16 and 20 deg.C. Mean development 8 deg.C to 0.5d at 20 deg.C. Development time ranged from 4.7d at time at 16 deg.C was much closer to that at 8 deg.C than ,at 20 deg.C. Table 2.3 Mean egg development t,imes at 3 temperatures Temperature 8 Mean (Days) Range 12 4.7 (3.5-6.0) - 16 20 4.0 0.5 (0) (0) 193 Estimation of naupliar and copepodite development The process of cohort development rates through ins tars can be considered to fall into the category of time-percent solutions derived in toxicoloiical studies. In such studies, cumulative percent reaction versus time follows a characteristically S-shaped curve. Figure 2.3 emphasises the applicability of this approach to development studies. The passage of individuals through each instar is spread over time, with a few entering the next stage at first, followed by the majority at an approximately constant rate, and with a small number completing development after a longer time interval. Stage duration in the work reported here viII be defined as the interval between the median time at vhich animals enter a stage and the median time at which they enter the next stage. To estimate median development (DT50), the cumulative percent having moulted beyond vas plotted against time on log-probability a particular stage paper and a straight line fitted to the points following Litchfield(1948). graphically time The DT50 vas estimated from this line. Development at 8 deg. C Development to c6 vas complete after 45 days (Tables 2.5a-c, Fig.2.2 ), at vhich time percent survival ranged from 60 to 79%. Females constituted between 45% and 55% of the survivors. Naupliar stages appeared generally equal in duration, with the exception of a protracted n2 stage. The distribution 1~ of individuals in stages broadened, Table 2.5a Distribution in stage on each sampling high-food replicate 1 occasion 8°C High food level, replicate 1 1 3 5 7 0 50 50 0 0 1lJ. 0 0 11 35 6 37 5 ') 0 2 6 40 0 lJ. 9 15 17 .' nl n2 nJ n4 nS no cl c2 cJ c4 cS co 50 0 4 46 ,~ "-7 21 0 8 J9 0 6 0 :; ,t: ... 25 0 43 8 39 0 " ~ .., v "- ' 2; 2) 7 25 25 12 ;6 2 27 29 31 J3 5 20 25 0 37 J9 41. 2 6 4~ J 0 35 0 0 1 16 ~ '".......'" 0 0 40 10 0 Jb. 16 3 0 42 8 3~ 20 ... 47 ) 43 0 195 50 at 8 deg.C; Table 2.5b Distribution in stage on each sampling occasion at 8 deg.C; high-food replicate 2 BOe Hie;h food level, nl 1 3 .5 7 9 -- ",,,, .' n2 re:plic;o:te 2 nJ n4 n5 n6 cl c2 cJ c4 cS c6 50 0 9 41 0 .50 0 0 27 17 7 2 .50 0 44 0 0 ",-: 9 0 .50 0 0 -I 2 41 .,,... .5 1"\ -.-' 8 15 0 ,- .~~ 21 . 2'" ..J.J '" '" .,., .,.., ~ ( .J~ 0 3B ?'? .... i _, " .,,, ..:..'- 0 ,~ _,r: 25 9 j- -, 10 27 29 0 27 2; 0 0 44 6 24 26 0 44- 31 J3 0 6 0 35 37 39 41 27 1t.;. 9 J 38 9 0 42 8 13 37 43 8 42 45 0 196 .50 Table 2.Sc Distribution in stage on each sampling occasion at 8 deg.C; percentage values from combined replicate counts eOc 1. J 5 7 9 11 .. n2 100 0 nJ n4 0 0 62 )0 8 n5 n6 cl c2 100 c6 6 8 0 19 0 ;Z .58 10 22 0 25 27 29 c5 0 15 17 23 C) c4 14 86 o 100 82 8 4 0 10 74 16 0 0 4 90 6 0 10 82 13 _ nl High :food level, combined counts (percentages) 0 80 20 0 50 44- 6 22 66 124 48 48 0 6 88 6 0 31. 0 ".11 40 0 -'.- :35 37 39 41 60 o B4 16 0 61 26 12 2 80 18 0 72 28 43 18 82 8 92 45 100 197 :; g. Cl g. -.. '15 ~ SO u 1 i .... ai .. ~ .... I ! i ! :; e ~ t I I g", I i ,; 0/ /' L.I 5 10 15 20 25 30 35 40 Age of culture (days) Figure 2.3 Cumulative percent of population beyond a given stage on each sampling date at 8 deg.C, high food level. Curves fitted by eye and stage duration increased, in the later copepodite stages. Naupliar stage durations, derived from the DT50 v~lues (Table 2.4), were, with the exception noted above, of about 2.5 days. The n2 stage lasted eonsiderably longer at 6.75 days. Development development to e1 was estimated to take 18.20 days (Table 2.4), while full ( 50% moulted to c6) was estimated at slightly more than twice this at 39.0 days. Development at 12 deg.C All surviving copepods had reached adulthood after 29 days. As at the distribution 8 deg.C, of individuals in stages broadened with increasing age (Fig.2.4), but the development curves were considerably 8 deg. and the stage intervals less variable.Total straighter than at median development time for all naupliar stages was 10.40 days, and full development was estimated to take 26.0 days (Table 2.4). The n2 stage was again slightly longer at 2.55 days than the other naupliar stages, whieh ranged from 1.20 to 1.80 days. Copepodite development took longer than naupliar development (15.6 days versus 10.4 days). Individual stage durations ranged from 3.00 to 3.50 days. Vith the exception noted above (n2 stage), there was no systematic variation in naupliar instar duration or in copep~dite instar duration. 199 Table 2.4 Stage duration and median stage development time at four temperature, high-food treatment 8°C 12°C Stage Duration DT50 NI N2 N3 N4 N5 N6 Cl C2 C3 c4 C5 c6 2.45 6.75 1.95 2.10 2.55 2.40 4.05 4.25 4.00 4.00 4.50 0 2.45 9.20 11.15 13.25 15.80 18.20 22.!}J 26.50 30.50 Y+• .50 Duration 1.tu 2.55 1.e5 1.30 1.20 1.80 3.10 3.25 3•.50 2.75 3.00 39.00 D·r50 0 1.7J 4.25 6.10 7.40 8.60 10.4{) 13•.9J 16.75 20.25 23.00 26.00 .. .. _~o_ ,,(0,.... ... '" Stage NI N2 N3 N4 N5 N6 Cl C2 C3 c4 C5 c6 Duration 1.UO 1.90 0.95 0.75 0.95 1.10 1.35 2.10 1.90 2.10 2.50 cv ;; DT(;n _,;- 0 1.40 3.30 4.25 5.00 5·95 7.05 8.40 10.50 12.40 14.50 17.00 200 Duration 0.95 1.40 1.le 1.05 1.05 1.45 1.55 1.95 1.75 1.65 1.35 IJ!50 0 0.95 2.35 3.45 4.50 5·55 7.00 8.55 10.50 12.25 13.90 13.25 Table 2.6a Distribution in stage on each sampling occasion at 12 deg.C; high-food replicate 1 1 2 3 4 5 6 7 8 _ •. 9 10 11 12 13 14 15 '.6 ,., -, 1M 19 20 .21 22 23 24 n1 n2 .n3 n4 nS n6 cl '.50 0 0 7 43 0 43 7 34 16 17 33 0 2 28 20 0 0 14 31 5 0 7 43 0 0 30 20 0 0 36 14 31 16 10 30 0 37 28 17 0 c2 c3 c4 cS 0 3 10 13 22 33 ac;... 0 5 22 ,R ... 5 :39 0 25 26 27 28 29 0 6 44 6 29 21 0 19 28 3 10 31 9 0 0 26 23 1 12 3.5 .J 0 40 10 31 25 21 0 201 c6 19 2.5 29 50 Table 2.6b Distribution in stage on each sampling occasion at 12 deg.C; high-food replicate 2 1 2 3 4 5 6 7 R 9 10 11 12 13 14 .. ··15 16 17 18 19 20 21 22 23 24 25 26 27 28 n1 n2 n3 :fJ 0 12 38 0 0 49 1 39 11 24 26 6 20 0 8 0 n4 n5 n6 cl c2 c3 c4 cS c6 0 24 0 J6 6 0 13 31 6 0 20 30 0 0 41 9 29 21 0 13 35 2 0 ;4 16 16 J4 8 42 ,., v 48 0 2 18 32 C 0 40 10 38 12 23 27 0 9 )2 9 0 )) 17 0 8 37 5 3· 30' 17 0 31 19 24 26 9 41 0 50 202 Table 2.6c Distribution in stage on each sampling occasion at 12 deg.C; percentage values from combined replicate counts 1 2 3 4 5 6 7 8 9 10 11 12 13 14 .' 15 .,~ 4'_· 17 lR 19 20 21 22 23 24 25 26 n1 n2 n3 100 0 19 81 0 0 92 8 73 27 41 59 8 48 0 22 0 n4 n5 n6 cl e2 c3 c4 c5 e6 0 0 67 11 0 20 74 6 0 50 .50 0 0 77 23 0 60 37 3 23 65 12 0 71 29 44 44 56 25 75 0 Q1 ,., 0 .,, 40 60 0 5 79 16 0 82 18 .52 48 28 60 10 63 0 J4 15 0 0 12 27 0 60 6 65 20 71 29 55 45 J4 66 21 79 o 100 27 28 29 20) Lon m o m Percent survival ranged from 65 to 86, and females constituted and 58% of the population(Table Development Development 2.2). at 16 deg. C to c6 was complete after 20 days. The development almost linear (Fig.2.5), although, as at the lower temperatures, duration broadened as develpoment Median naupliar development between 47% progressed (Fig.2.5,Table curves were stage 2.10a-c). time was 7.05 days, and median stage duration ranged ~from 0.75 to 1.90 days. The n2 stage lasted longer than any other naupliar stage. There was no trend in the remaining stage duration variation. Total median development time was 17 days, and median copepodite development time, at 9.95 days was again rather longer than naupliar development time. Median copepodite stage durations ranged from 1.35 to 2.50 days, and did not change systematically with increasing age. Survival ranged between 59% and 83%, and females numbers between 48% and 56% of the population (Table 2.2) 205 Table 2.10a Distribution in stage on each sampling occasion at 16 deg.C; high-food replicate 1 nl n2 n3 n4 n5 n6 1 2 50 0 0 50 0 3 35 15 4 15 35 5 6 7 8 0 .,. 10 ."0°.,., ..... ,~ ..... cl c2 c3 c4 c5 c6 0 0 0 5 16 .. " Cl 0 ?C I) 2J 30 0 0 11 39 0 50 "v °7 43 0 0 35 15 0 .~I .,~ .,- .,., ., ,::; ,.. _ ... ... ... -..; ,~ ':'l .:.; -..; ~o 0 '1 ",0, 1.4 0 39 1.1 0 15 26 23 1 16 15 29 6 17 0 30 20 18 24 26 19 13 37 0 20 206 50 Table 2.10b Distribution in stage on each sampling occasion at 16 deg.C; high-food replicate 2 n'. n? n3 n4 n5 n6 cl 1 5J 0 2 0 50 3 4 5 6 7 8 9 10 .. - 11 ..... ..l~ c2 c3 c4 c5 c6 0 ;0 20 0 5 27 lE 0 0 0 7 4~ 0 ~ 0 0 11 39 0 0 0 8 42 0 0 0 0 41 4 46 ,... 0 31 19 ,..., v le 25 ; 1.1 0 20 "" ,c. 14 10 15 0 1~ 16 17 lP. 19 -'_' 0 7 .,)'w' 1'\'" C: 26 6 ....,.,_ 16 0 2 32 8 0 29 21 17 ;3 8 42 0 50 10 Table 2.10c Distribution in stage on each sampling occasion at 16 deg.C; percentage values from combined replicate counts 1 2 3 4 5 6 ? 8 9 10 11 12 13 ·-14- n1 n2. nJ n4 n5 n6 cl c2 100 0 o 100 0 65 35 0 20 62 18 0 0 5 23 72 0 0 0 31 69 0 0 19 81 0 0 90 10 11 89 0 66 30 0 15 16 17 18 19 20 208 c3 c4 c5 c6 0 J4 0 50 20 47 5.3 29 65 10 :fj 0 36 15 0 0 6 30 2 .,., 0 , "" 0 .58 27 47 53 J2 68 13 87 o 100 r---------------~----------------~ ~ .c: CJ ell CU "0 c:: CU ... cu .... 0'" bO~ CIS .,. -17) m cu > c ... CU ::I ....bO>u• .... ell CU > "OCU c:: ..... o ~"O CU 0 .00 ~ o.c: c:: ....... ....bO .....::ICIS.c:.. a.U o • Q.bO CU ~"O o ........ c:: \0 CU'" ...CUCJCISIV Q. ... CIS IV"O > ....bO ... c:: CIS .... CU ......... ~ ::I Cl. Cl S S ::IeII~ Urn.o . an o o .- o LIl Development at 20 deg. C All surviving specimens had completed development to c6 after 15.5 days. Stage duration was much reduced compared to lower temperatures, was less obvious variation in the distribution (Fig.2.9, Table 2.7). Median development that at 16 deg. C. The median development difference of individuals and there within stages time to n6 was 7.00 days, similar to time to c6 was 15.25 days. The between naupliar and copepodite development times at 20 deg. C was therefore small compared to that at lower temperatures. Median naupliar instar duration ranged from 0.95 to 1.40 days; the n2 stage again occupied a longer period than other stages. 0' Median copepodite development periods were 1.35 to 1.95, with some indication of a trend to reducing period with increasing age. Survivorship was between 64% and 80%, with females constituting between 49% and 57% (Table 2.2). Average stage duration Vhen median development slope of copepodite times were plotted against stage, the shallower development apparent, as is the approximately at all temperatures is more readily linear nature of the naupliar and copepodite segments (Fig.2.6). In order. to estimate mean instar durations, 210 Table 2.7 a nl n2 n3 c • .5 50 1.0 30 20 2.5 20°C High food level, replicate 1 n4 n5 n6 l.j,2 8 2 •.5 3.5 15 0 3.00 27 '8 5 9 .,,.., l,f- 20 0 5.0 5.5 ') 6.0 " C •.,J" () Cl 5 22 28 .,....~ ~, ..1'-..I 0 1.;. J ':,'.'7 1;) ."1 ..II ",..!. 20 2,8 1 to\ v ..I 9 i.:1 C 7 26 17 0 21 29 15 35 11 39 0 0 28 22 0 20 27 3 10 "A t:.~ 0 32 12 18 '2.0 36 1Ii- '2.5 1.7 33 ;3.0 15 33 10.0 10.5 11.0 1,1. 5 ,..,",.J~ c6 ., 8 1,.C r. o 38 20 1~ -' 30 4.5 cl} c5 s: 2. Cl L~.O c3 0 ..I :3.5 c2 0 45 0 cl 0 12 28 10 o 13 32 6 39 3 2 0 14.0 14.5 0 15.0 23 27 0 15·5 211 5 .50 Table 2.7b Distribution in stage on each sampling occasion at 20 deg.C; high-food replicate 2 0.,5 1.0 1.5 ?O 2.5 3.0 3., 4. o 4.5 5.0 .' 5.. s 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9·5 10.0 10•.5 11.0 '1. 5 12.0 '2.5 13.0 13.5 14.0 14.5 15.0 15.5 n1 n2 n3 :fJ 0 42 8 0 5) 0 47 "':I~' 36 4 21 24 0 1.7 n4 n5 n6 cl c2 c-:: .., c4 c5 c6 0 .5 33 0 0 2 ?9 '0 -, ') _,- 1? 7 ~, .5 33 _t::. , ... 0 , ... .( ...'" )) 10 40 0 :.""" .... v :; 7 3 31 16 0 0 14 29 7 6 31 1:; c 28 22 26 24 0 9 41 0 17 33 0 11 32 7 4 34 12 0 40 10 36 14 le 32 0 11 36 3 7 27 16 0 0 3 24 23 0 11 39 23 27 0 50 212 Table 2.7c Distribution in stage on each sampling occasion at 20 deg. percentage values from combined replicate counts 0.5 1.0 1.5 2.0 2.5 3·0 3·5 ls.......r. 4.,5 5.C 5.5 6.0 ~ ~ .'" 7.0 7.5 . p, ~-, - '" o = "_' • .II' 9.0 9.5 10.0 10.5 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 '5. 0 15.5 nl n2 100 0 72 28 0 95 89 71 48 n3 n4 n5 n6 cl c2 c3 c4 c5 c6 0 5 11 29 0 42 10 9 29 62 0 0 10 6e 21 0 " 0 '37 51 12 20 63 17 0 39 61 0 2.5 71 4 10 77 13 .4 51 440 7.3 70 0 1) ~9 0 t:;7 ..... 1 7 C0 49 _.- 41 59 20 0 eo 0 45 55 0 31 59 10 14 62 2l;. 0 72 28 67 41 26 19 2 0 213 33 .59 0 71 3 55 26 0 16 ~ 26 6 50 44 0 23 77 o 100 r----------------.------------------~ ~ o m •.. o N '"• N o o o U"'I 214 soC C6 CS Cl. C3 C2 0 0 0 0 0 0 0 0 Cl 0 0 H6 HS NI. N3 N2 ell 01 tU 12°C 0 • • H1 • • 0 • • • • • • Vl .. ' ;; 16°C c t5 t5 [ Cl. B Cl ell 0 0 0 0 0 0 0 0 0 • • • MS NI. H3 N1 0 0 ~ C2 ~ Cl N6 N2 20°C 0 • • • • • • 5 10 15 20 25 30 35 5 10 15 20 25 30 Median development time(days) Figure 2.6 Median development times for all developmental temperatures,high food level treatment 215 stages at four 35 the regression of stage on time was calculated separately for nauplii and copepodites at each temperature (Table Table 2.8 ). Regression parameters: developmental stage versus time Nauplii Temp. Constant Slope 8 -0.326 0.328 12 -0.311 16 .,' 20 r Copepodites Constant Slope r 92.8% 1.64 0.241 99.9% 0.595 97.9% 2.64 0.319 99.8% -0.656 0.925 97.1% 3.09 0.471 99.7% 0.116 0.853 99.6% 1.83 0.593 99.4% The slope of each regression has units of stages/day. For nauplii, there is an increase in slope from 8-16 deg.C, with a slight decrease at 20 deg.C. For copepodites, there is a monotonically increasing trend in slope with increasing temperature. Comparison of slopes fornauplii and copepodites at any temperature emphasises that copepodites develop more slowly than nauplii • o N ~ N ...-i - ~ U ....... 0 ,_, (U ...-i ;J ..... ,_ttl c:. "-D t" 'V ~ 1-1 0 c.::t- ~ QI E ..-t <t.I N .' 0 \C ,... ).::t '"" . <t.I"O c: QI QlC:E..-tll"l ._. 0..0 ,.... N OEo\ r-40P"4 QlU;> .. QI (l)r-4 "0 41..-4 bOQI "Onll-lCo C:<t.I<t.I..-4 nI{I)<t.I.c: o III QI r-4 P:) c: 1-1..-4 0 ='nI~..-4 ~ 0"nll-IC:nI 1-100..-4 QI~..-t CLI <t.I1-I Co S "0 nI CLI c: =' 1-1 ~nlC'CLI 41 :- C\I r-' QlCLlQlCo QI<t.I.c: :- ..-t tJ <t.I"O QlObObO 0 C\i 0:> r-' '-0 r-' ~ c: ,...... C u ..._, 0 r-I CO Q) ~ ;: r:s rCl ;;J_ F. '-0 .::T '6 <II ~ .c 0. 0 '-0 ( S!.'i:p) alJH 217 g C\I ,+Uol.!JaC·L CiJI.:-O nI c: c: QI..-t..-t ..-to='=' .c:U "0"0 III .. CLI Cl) c: o ..-t tJ tJ ..-t..-ttJtJ tJ ..-4 ..-t ..-t nI o.~ ~ r-4=' 41",-- ~ s:: e- • ! ~ 0 e; 0 Q,Q,(I)1Il N C\I 0 0 r-I (I) CIS.o Development rate as a function of temperature Following Bottrell (1975), equations InD. a - b(lnT)**2 of the form where D • development time in days T • temperature in deg. C a,b are constants were fitted to the development times for nauplii and copepodites and for total development (excluding egg development) (Table 2.9,Fig.2.7a). For purposes of comparison, power functions were also fitted (Table 2.9, Fig.2.7b). The power function equations gave a marginally better fit for nauplii and copepodites (Table 2.9), but when extrapolated appeared biologically less realistic outside the range of experimental temperatures. Bottrell's equation was therefore preferred as a basis on which to predict daily growth rates from field observations of water temperature and mean instar lengths. 218 Table 2.9 DEVELOH-.El:rI' RATE E~UA1'IONS A) Based on Eottrell's e~uation: 1) Nau:plii lnD = J.76-0.2l5(lnT)2 1'2 = 9J.::.% 2) Cope:po~ites lnD = 3.90-0.207(lnT)2 r2 = 94.6% J) Total l~ = 4.53-0.2ll(lnT)2 r2 = 98.4% B) Power function& 1) Nauplii logl0D = 2.23-1.10 loglO T 2 r - 94.~ 2 2) Copepodites loglOD - 2.26-1.05 loglO T r - 97.l¥/o J) Total loglOD ..2.55-1.07 log10 T r2 ..98.1% .,. 219 Estimation of daily length increment from field and laboratory observations Using the equations fitted above, naupliar and copepodite were predicted at the ambient S.Alloa temperatures development times on the 9 dates in 1981-2 for which detailed field length data were obtained (Table 1.7). A simplification was introduced by ignoring the fact that, at some times of the year, animals would experience a changing temperature regime. The coefficients of the regressions Estimated field naupliar development 42.6d on. 12.1.82; corresponding ~ stages/day times ranged from 7.13d on 7.7.82 to copepodite development were 8.76d and 49.4d respectively. 0.139-0.842 of stage on time were obtained (Table 2.8). times for these dates These values translated for nauplii and 0.101-0.571 into rates of stages/day for copepodites (Table 2.11). Field observations relating cephalothorax showed a slightly curvilinear be adequately relationship, modelled by linear regression yielded coefficients length to stage (Figs.2.8a-c) but one which in all cases could (Table 2.12). The regressions (mm/stage) of between 0.034 (31.5.82,16.4 deg.C) and 0.049 (2.4.82,7.6 deg.C) for nauplii and between 0.076 (31.5.82) and 0.101 (11.12.81) for copepodites. In general, growth per .stage, and stage duration, were low at high temperatures and high at low temperatures. An exception to this was the sample for 20.9.82, in which animals of all stages were unexpectedly 220 large (Fig.1.6). Table 2.11 DEVELOPMENT TIMES AND RATES OF LENGTH INCRE!'lENT PER STAGE AND PER DAY FOR 9 DATES IN 1982 D\~ ?em;- DEV " .12 12.1 3.2 2.4 31.5 7.7 20.9 16.11 7.0() 10. ('3 n o L~2.95 4.06 28.16 7.56 17.82 16.4:1 7.99 18.00 7.13 14.25 9.42 6.08 21.32 23·12 1.83 39.71 Deve :L~ten '1atee Inc:1 22.:/49.4 32.90 21..18 9.78 8.76 11.46 25.17 45.81 0.3' 5 0.139 0.213 0.337 0.751 0.842 0.637 0.281 0.151 0.222 O.CL~ C.l01 0.152 0.236 0.511 0•.57l 0.436 0.199 0.109 .' 221 lnce DEily r, C. '.0"1 0.0137 0.045 0.091 0.00(.3 o. oL~6 0.096 0.0097 0.049 o.oy~, 0.035 0.046 0.043 0.044 0.0166 0.076 0.026 0.079 0.029 0.100 0.0289 0.087 0.0119 0.097 0.0067 0.099 DE.i1~r e 0.0224 0.0092 o,01~-5 0.0233 0.0388 0.0451 0.0436 0.0172 0.0106 Table 2.12 llDEC EQUATIONS RELATING LENGTH TO STAGE Copepodites Nauplii L = 0.0446 + 0.043.55 L ...-0.395 + 0.101S 2 r = 95.4 % r2."98.2 % 12JM; L = 0.04'.9+ 0.04538 2 r=97.8% L = -0.261 + 0.09158 2 'r = 93.2 % 3FEB L = 0.0448 + 0.0458S L - -0.296 + 0.09568 2 r =97.5 % 2 r = 97.3 2APR 3ll1AY .,' 7JUL ut 10 L =0.025 + 0.04928 r2= 96.6 % L = -0.36 + 0.09878 2 r = 96.7 % L = 0.0,588+ 0.03435 r 2 - 98.8 % L = -0.251 + 0.07615 r 2...97.0 % L - 0.0608 + 0.0)485 r2...99.4 % L ...-0.268 + 0.079S r 2...98.6 % L - -0.346 + O.lS 2 r ...91.9 % 20SEP L ..0.0399 + 0.04558 2 r ..98.1 % l6NOV' L" 0.059-1+ 0.04258 2 r - 99.5 % L ..-0.259 + 0.08658 r2_ 98.3 % 23DEC L ..0.0.56+ 0.0444S L ..-0.339 + 0.09735 2 r ..97.5 % 2 r - 98.8 % 222 11 DEC .913 • • • • • • •• • 06 c6 1.ea -- 12 JAN .913 i .sa ~ .re g .Ge r-I ~ .~a ~ o ... 13 .' :So .3a r-I lIS • • • • ~ .20 Q) t) .re • • • • • • • • r~ c6 n6 1.ea 3 FEB .913 • • • •• •• n6 • •+ c6 Figure 2.8 a Relationship collected between cephalothorax length and stage in E.affinis at S.Alloa on 11.12.81, 12.1.82 and 3.2.82 223 2 .se I\PI< ,..... ~ .se .._" ~ .70 g .se r-4 a .se .<4e o :So .3a M I'd is. .ze Cl) u .ie .ea • • •• ••• • • • • f' r (6 n6 1.0a 31 MI\T .se ...-.. .se -= .70 -'= .se .se ~Cl) rot ." a .40 -'= ~ .3a 0 0 r-I •2a ~Cl) u .re .ee • • • • • • • • •• • ~ ~ (6 n6 1.ea 7 JUL .se ...-.. ~ ~ s:: Cl) r-I .se .70 .se •~a E ... 13 ~ .ae i • 28 0 0 Cl) u. .10 .ee •• • • • • • n6 • • • ~~ (6 Figure 2.8 b Relationship between eephalothorax length and stage in E.affinis collected at S.Alloa on 2.4.82, 31.5.82 and 7.7.82 224 I .M 2e SEP .ge 'i •• .ae •• • • ••• • • • n6 c6 1.0e 16 NOV .se '"' ~ .se ....., ~ _70 53 .se r-i . ' 2 .~a .,o .c ~ .3a •28 1 .re Cl) tJ •• • • • • • • •• n6 c6 1.0a 23 DEC .ge • • ••• •• n6 • • • c6 Figure 2.8 e Relationship between cephalothorax length and stage in E.affinis collected at S.Alloa on 28.9.82, 16.11.82 and 23.12.82 22.5 Daily length increment (mm/day) was estimated from the product of development rate (stages/day) and growth rate (mm/stage) (Table 2.11, Fig.2.8). This reveale that, although copepods achieved a greater final length in each stage at low temperatures (with the exception of 20.9.82), growth rates were considerably higher in spring and summer as a consequence of the temperature-enhanced development rates. Highest growth rates were predicted' for 20.9.82 for nauplii ( 0.029 mm/day), and 7.7.82 for copepodites (0.045 mm/day). Lowest growth rates were predicted for 12.1.82, and were, for nauplii and copepodites respectively, only 22% and 21% of the highest predicted rates. 226 Chapter :3 .'. Predation b.Y Neomysis integer on Euryteaora affinis Predation of Neomysis on Eurytemora affinis Between 29.9.83 and 31.10.83, a series of experiments were conducted to investigate could prey the effectiveness with which Neomysis on Euryternora. These comprised; a) the investigation of the relationship between mysid length and predation rate b) the generation of a functional response for adult mysids by determining predation rate at a range of prey densities representative of those observed in the Forth estuary c) the investigation of the effect of the absence of light and the pre~ence of natural suspended particulate material on predation rates in adult mysids. All experiments were carried out at 15+1- 1 deg.c and at 10 +1-1 ppt. Vater for each experiment was made up from S.Alloa water collected on high tides, filtered to 1.2 um, and diluted as necessary with fresh(O%o) Forth river water similarly filtered. exception was the investigation An of the effect of suspended particulate material on predation rate, when the suspended solids content of the medium was adjusted to approximately 65 mg/l. All experiments were carried out over 24h in a 12:12 LD lighting cycle, with the exception of the test of predation rate in the dark.Illumination, when present, was diffused and attenuated by expanded polystyrene Experiments sheets to approximately 1.2 Lux. in b) and c) used adult mysids of between 14 and 227 17mm in length, which had been held in filtered 10 ppt estuary water for 24 h prior to introduction to the test vessels.Hysids used in a) had been similarly treated, but ranged in size from 5.04 to to 19.0 mm in length. Only mysids which had not moulted in the 24h prior to testing were used, and only one mysid was introduced to each test vessel. All trials were conducted in acid-washed glass beakers, loosely covered to minimise evaporation losses. Preliminary tests were conducted under less well-controlled circumstances to establish whether or not Neomysis could capture Eurytemora under laboratory conditions Collection of experimental material Copepods, mysids and water collected from S.Alloa on high tides between 26.9 and 27.10. Additional water was collected on each occasion from Stirling bridge. Animals were collected using a hand-net equipped with a transparent cod-end. Following each net sweep, the contents were washed gently into the cod-end and the cod-end detached and decanted through a 1mm mesh (through which copepods passed) into a polythene aspirator containing 5 litres of ambient water. Juvenile and adult mysids retained on the mesh were washed gently into a separate and similar container. Inspection of the contents of the cod-end permitted the size of the catch to be approximately estimated. The contents of the aspirator were placed in a cool-box and transported to the laboratory within 1 hour of collection. 228 Pre-treatment and exposure of mysids a) effects of size on predation rate: 29.9.83 The contents of the aspirator were mixed thoroughly, and a l-litre subsample rapidly taken to obtain a sample of approximately 30 mysids of varying sizes. Half of these animals were gently transferred individually with a wide-bore pipette into beakers containing 100 ml filtered habitat water, and the time noted. The remaining mysids were placed in 51 of unfiltered habitat water for 24h. During this period, sufficient adult E.affinis for the experiment were sorted. Damaged individuals were rejected, and 1500 intact and active specimens were placed in groups of 100 into 15 200ml polystyrene beakers containing filtered 10ppt estuary water. These beakers were placed in a C.T. room at 15 deg. C. A further 1500 adult E.affinis vere placed in 10 1 unfiltered estuary vater (10 ppt) and held in the same room. After 24h, mysids held in filtered vater were examined, and active,unmou1ted intervals, animals were transferred individually, at 10min. to 21 beakers each containing 100 adult E.affinis. The mysids held in unfiltered water were transferred into 100 ml of filtered water.Staggering predation trials allowed sufficient without affecting individually the initiation of the time to terminate each trial the duration of any other, although since all trials vere conducted in the same C.T. room there was a consequent variation in the lighting history of successive trials. During the first set of trials, the remaining 1500 E.affinis were sorted into groups of 100 and held in filtered 10 ppt estuary water. 229 Each trial was terminated 24h after initiation, by decanting the contents of the beaker through 1mm mesh into a lOamI container with 69 um mesh- covered holes near the base. Neutral red stain ( 1:200000,Dressel the material retained, which et a1,1972) was added to was stained for.30 min. and then preserved in acidified 4% Steedman's solution and transferred a Beatson jar for subsequent examination. to Staining served to assess the degree of mortality in the prey sample, and thus to indicate the extent to which results may have been biased by "uncontested" unsuccessful capture.It was expected that mortality due to attacks would be evident from physical damage sustained by such copepods during the attack. ~ Following the termination of the first set of trials, the 21 experimental beakers were rinsed with filtered test water (10 ppt) and refilled. 100 adult E.affinis were added to each beaker, and the second batch of mysids exposed to prey in the same manner as were the first batch.Two- controls with 50 prey but without predator were run in conjunction with each batch. b) Estimation of functional response During the period 2.10.83 to 22.10.83, trials were conducted at densities of 10,25,50,100,200,300 and 500 prey/I. Each treatment was replicated five times, with two controls, ,and each treatment tested on 5 separate occasions. Pre-treatment of mysids was as described above, except that individuals were briefly restrained in a small trough and measured to the nearest millimetre. For each treatment, five mysids between 14 and 17mm in length were selected and held in filtered water for 24h. Adult E.affinis were sorted during the starvation period and added to the experimental beaker$ just before the mysids. ~ Beaker volume differed between treatments.At 10 prey/l 5 litre beakers were used( 50 prey per mysid). At 25 prey/litre, tests were replicated prey/litre in both 5 and 2 litre beakers, and at 50 in both 2 and 1 litre beakers. The remaining prey densities were tested in 1 litre beakers. All beakers were filled to their nominal capacity. Hysids were exposed to prey for 24h, and replicates were initiated at 10-minute intervals to eliminate variation in exposure period due to the time taken to terminate each one. At the end of the exposure period, the vessel contents were decanted as described above and the contents preserved. c) Predation in the dark and in the presence of suspended sediments l4-l7mm mysids were obtained on 28.10 for the investigation the effects of darkness and on 31.10 for the investigation effects of the presence of suspended particulate were measured, held in filtered water for 24h of of the material. Hysids and the tests initiated as described above, with 5 replicates and two controls per treatment. Predation in the dark was measured at 50 and 100 prey/litre in 2 litre beakers filled to nominal capacity. Mysids were exposed at these .concentrations ' for 24h in a light-tight et room at 15 deg •. C. Predation in the presence of detritus was tested at 25,50 and 100 prey/litre, also in 2 litre beakers. Habitat water, adjusted to 10 ppt, was screened through a 69 um mesh, and 3 250 ml subsamples filtered onto tared Vhatman GF/C filters and dried for 24h at 60 deg. C. The mean suspended solids content was 65.08 mgll, which was considered sufficiently estuarine conditions representative to require no adjustment.Hysids of were exposed for 24h. The beakers were not mixed during the exposure period, and the particulate material gradually settled out on the bottom. Each replicate was obser.ved at intervals during the exposure period to obtain an impression of the effect of this sedimented layer on the behaviour on both mysids and copepods. In both experiments, the pre-exposure described above. adult E.affinis w~re,as above sorted during period. Both sets of trials were terminated as Sorting and preparation The experiments E.affinis. of copepods described above required a total of 13875 adult The constraints of time imposed insetting up each treatment demanded a rapid, efficient and gentle method of sorting. Folowing each collection, cumulatively concentrated 69 um-mesh-screened subsamples from the collection were in a 100mI polystyrene container with holes near the base. Vhen several hundred had been concentrated into about 15 ml of estuary water, they !ere aspirated gently into a sorting device consisting of a Pasteur pipette with the final 2 cm bent to 120 degrees, attached via 20cm of 3mm internal diameter polythene tubing to a 20ml thumbwheel-controlled pipette filler. This device permitted precise control of the movement of water into and out of the pipette tip. The pipette tip was transferred to a 90mm Petri dish which had a divider glued in place acros the diameter. The final two 2cm of the tip was placed flat on the bottom of the Petri dish, below the surface of filtered estuary water, and the position of the dish adjusted so that the 2cm section was within the field of view of a Vild M5 stereo dissection microscope. The refractive index of the water and of the pipette glass were sufficiently close that the contents of the pipette tip could be resolved clearly enough to identify individual cppepods to species and to stage. The contents of the device were expressed slowly into one half of the dish.Vhen an adult male or female Eurytemora approached manipulated the end of the pipette, the pipette filler was until the individual was at the pipette end. The pipette was raised and the individual ejected. into a drop at the pipette tip, which was then dipped gently and briefly into the water in the other half of the Petri dish.The pipette was transferred back to the original side of the division, and the sorting process continued; unwanted copepods were expressed directly without manipulation.Given the largely monospecific nature of the samples from S.Alloa, it proved possible to sort in excess, .of 1000 adult E.affinis per hour Cope pods were transferred in groups of 25,50 or 100 into 100ml beakers of filtered 10 ppt estuary water and held in dim light at 15 deg. C until required. For each set of trials, an additional 25 copepods were held in filtered water; these animals were used to replace any which died or became moribund during the holding period and ensured that only active, apparently healthy specimens were used as prey. Evaluation of results The preserved specimens from each trial replicate were concentrated into 2ml of fresh 4% Steedman's solution made up with 10 ppt filtered estuary water. This volume was pipetted into a Bogarov counting tray, and the copepods counted. Each was examined for signs of damage, and any which had not taken up the Neutral red stain (and were therefore dead at the end of tbe trial) were noted. Small mysids were placed in tbe Bogarov tray and tbe length from rostrum tip to telson end measured with a calibrated eyepiece graticule .' to O.lmm. Larger mysids were placed on a piece of graph paper and their length similarly measured to 0.5mm. Faecal pellets produced by mysids during trials were examined and their contents qualitatively assessed. The effect of mysid size on predation rate was evaluated regression of rate in prey/mysid/day For the remaining experiments, on mysid length in mm. feeding rate was calculated as clearance rate (Fulton,1982a;Frost,1972, 1975; Cooper and Goldman, 1980) (equation 1) Cr -( -In(Nt/No)V)/(NpT). Vbere (lIh) Cr - clearance rate No - ini tial(control) number of prey Nt _ number of prey at time T V from tbe - volume of experimental (b) vessel Np - number of predators 23.5 (1) The relationship between clearance rate and prey density was tested by analysis of covariance rates were normalised by log(x+l) transformation, were found to be heterogeneous partitioned (ANCOVA) in which clearance by Bartlett's as the variances test. The model variance between prey density and.blocks(days), with mysid length as a covariate. Predation rate was calculated as: (equation 2) P • (No-Nt)/TNp Although Frost(1972),Landry(198l) Butler(1986),inter and Villiamson alia, have suggested the use of mean, rather than initial, prey density in the representation relationships,Harin of predation or clearance rate. It is to determine a functional response based on mean density.Further,the replication of predation et al (1986) have pointed out that mean prey density is not independent thus incorrect and use of mean prey density invalidates the of treatments and means that there is no independent estimate of error in clearance rate for any treatment. Clearance rate was also calculated following Harin et al(1986) as Cr. V«Co-Ct)/Co) l/h (equation 3) where V • vessel volume . Co,Ct • initial(control) and final prey densities respectively This equation is appropriate when clearance rate is not constant but declines with increasing food concentration. Ingestion rate may be calculated from equation 3 simply as I • CrCo 231 Results Relationship between mysid size and predation rate All copepods recovered from experimental vessels in this experiment stained strongly with Neutral red, and were presumed to have been alive and active throughout the experimental period~ Two mysids moulted during the exposure period, and these results were discarded. ,A linear relationship adequately described (r-0.93, p<O.Ol) the observed increase in predation rate (copepods/mysid/day) with mysid length (Fig.3.1, Table 2.1). Since neither variable was measured without error, and the size distribution of mysids must be regarded as truncated, a functional or geometric mean regression was calculated (Ricker, 1973): y- -11.59 + 2.60x where y x is predation rate (copepods/mysid/day) is mysid length (mm) The regression line intercepted the x-axis at a mysid length of 4.4Smm. Hysids below this length did not appear to be able to feed effectively on adult Eurytemora. Predation rates for mysids in the 14-17mm experiments size range used in subsequent clustered between 25 and 33'copepods/day at a prey density of 50/litre. The highest rates were observed in the two largest mysids, which captured 39 and 40 prey respectively during the 24h exposure period. This \ ....... , so r c 0.934 , Y - -11.59 + 2.60x ...... 't1 ...... • t 't1 • .-4 III • 40 . >. e III '8Pt Cl> Pt 30 0 ....., (J .. ' Q) ~ tl 20 .0.. -"" ~ re 't:i Cl> t; 10 • 4 8 Mysid 12 16 20 length (mm) Functional regression of mysid length on predation rate; correlation coefficient for least-squares included as an approximate indication of the strength of the relationship Table3.' The relationship between mysid length and predation rate at a prey density of 50 prey per litre No. prey taken No. prey moribund No. prey recovered Control recovery 5.04 3.82 4.60 4.39 6.60 9.00 7.92 7.48 10.51 9.07 6.77 8.64 46 48 51 49 46 40 36 41 37 36 45 35 (51,50) 4 2 0 1 4 10 14 9 13 14 5 15 0 0 0 0 0 0 0 0 0 0 0 0 14.50 12.50 16.50 13.00 19.00 17.00 13.00 14.00 13.00 13.50··. 28 32 27 37 21 10 29 22 26 28 (50,50) 22 18 23 13 29 40 21 28 24 22 0 0 0 0 0 0 0 0 0 0 Hysid length(mm) 241 was equivalent Comparison to a clearance rate of 1.6 l/mysid/day. of the mysid size range used here with the data of Astthorsson and Ralph (1984) indicate that the greater part of the normal size spectrum of Scottish Neomysis certainly (-3mm to >16mm) was sampled, but that the sample almost contained representatives of two generations. are likely to have belonged to the summer generation, «10mm) The larger mysids while the smaller mysids will have been members of the autumn-born overwintering generation. Functional response: the relationship between prey density and predation rate In all replicates, uneaten copepods stained strongly with Neutral red, and, as above, it has been assumed that all constituted normally-available prey up to the end of the" exposure period. None of the 35 mysids used moulted during exposure; Assthorsson and Ralph (1984) reported that the intermoult period for mature mysids is between 12 and 18 days, so moulting would not be expected to be a frequent occurrence. Mysid faecal pellets recovered from experimental exception loosely-packed vessels were without and contained identifiable copepod remains. Mean raw predation rate ranged from 24.2 copepods/day 127.4 copepods/day monotonically at 500 prey/l (Table" 3.2,Fig.3.2). at 10 prey/l to Predation rate increased with prey density up to 11S/day at 200 prey/I, declined slightly at 300 prey/I, and increased to 127/day at a density of 500/1. 242 , '" r-t I tU . Functional response, uncorrected for differences in vessel volume 150 r-I I tU .' .~ en >, El • en tU 0 100 Pt Q) Pt 0 0 '-'" Q) +' ro 1-1 50 r::: .~ 0 +' ro reQ) ~ 100 200 400 JOO . 500 1 Prey density (copepods.l- ) Figure 3.2 Table ~.2. Prey density 10 Mysid predation on E. affinis at a range of prey densities; number of prey recovered,number of prey taken, and predator length. Mysid Vessel volume(l) length(mm) 16.0 16.5 5 16.0 15.5 16.0 2 25 5 25 1 50 No. prey recovered 30 27 25 22 25 16.5 15.0 15.5 17.0 16.0 31 30 33 27 34 16.5 15.5 17.0 16.5 15.0 93 89 87 92 79 16.5 14.0 14.5 14.5 15.0 8 30 21 22 26 Control recovery (52,49) No. prey taken 20 23 25 28 25 No. dead 0 0 0 0 0 19 20 17 23 16 0 0 0 0 0 31 35 37 32 45 0 0 0 0 0 42 20 29 28 24 0 0 0 0 0 55 55 76 53 51 45 (100,100) 45 24 47 49 0 0 0 0 0 54 57 54 37 48 46 (100,100) 43 46 63 52 0 0 0 0 0 120 112 118 110 115 0 0 0 0 '0 112 106 115 114 110 0 0 0 0 0 150 124 113 132 118 0 0 0 0 0 (50,50) (123,124) (50,51) ,,- 50 2 15.0 15.5 15.5 16.0 15.0 100 1 14.0 14.5 15.0 15.0 14.5 200 1 15.5 16.5 16.0 16.5 16.0 80 88 82 90 85 15.5 14.0 16.0 14.5 14.5 189 195 186 187 191 14.5 14.0 14.0 14.0 13.5 349 375 386 367 381 300 500 1 1 r (201,199) (300,302) (497,501) Table;·3 Clearance rate of mysids feeding at a range of prey densities; rates calculated using models which assume a) constant clearance rate with declining prey density and b) decreasing clearance rate with increasing prey density.Values are mean llh ,95% confidence intervals in brackets 10 25 Prey density 50 100 200 300 500 a) 5 3.38 (0.65) Vessel volume 5 2 2 '1 1 1 1 1 1.70 0.96 1.11 0.95 0.70 0.86 0.46 0.30 (0.37) (0.26) (0.36) (0.59) (0.21) (0.05) (0.03) (0.05) b) 2.42 (0.33) 1.48 0.76 0.84 0.57 0.50 0.54 0.37 0.25 (0.22) (0.13) (0.23) (0.20) (0.09) (0.08) (0.01) (0.02) Table Mean predation rates of mysids feeding at a range of prey densities(copepods/mysid/day); a) actual numbers taken in 24h b) numbers corrected to unit vessel volume 10 .. 100 50 25 a) 5 24.2 (3.4) 5 36.0 (6.4) 'Vessel volume 1 2 2 28.6 42.0 19.0 (3.1) (11.7) (9.5) b) 4.8 (0.7) 7.2 (1.3) 9.5 (1.6) ' 21.0 (5.9) " 245 200 300 500 1 1 1 1 50.0 115.0 111.0 127.4 (.92) (4.7) (4.1) (16.6) " " " " 4 OJ./ -.c: 3 ~ 0 5-~ • '2..- ~ ~~ \-I!a:.. 0 G> +' ~ 2 G> 0 f S ~ 1 tJ .. t 1 1 Q ., 1025 SO 100 200 Prey 300 400 500 density (copepoda/litre) .' Figure ,., The relationship between clearance prey density (no./l) in vessels of a) clearance rate calculated using b) clearance rate calculated using I(1986) rate (l/mysid/day) and different volumes the equation of Frost (1972) the equation of Marin et al o o o ..-0 .-4 t:IO 0 r-4 '"sRI:: ...41as .0' r" 0 0 ..-- r w " 01 41 U V =RwI t RI 41 U 41 ". r-4 ~ 041 >. .-4 t:IO>. 0.0 ~ r-4 =41'"'"41 0 ..-- ...:. ~.... 41'" 41 .041 = ......c::0. .... ~ . (I) s::>. .::t- n• or--------~---;,,-------J.. ....- ..-- .. o ..-- i ~ o ... ........ "'(1) RI s:: (II'" w r-4(11 G1~ ..c::w ~o. , 247 Clearance rates were calculated using both the conventional expression exponential (e.g. Frost, 1972) and that of Marin et al (1987) (Table 3.3, Figs. 3.3a,b). Rates based on the latter equation were consistently lower at any given prey density than those based on the former; on both bases, however, rates exhibited a declining curvilinear characteristic relationship (Fulton 1982) of a Type II functional The curvilinear nature of the relationship prey density is emphasised with prey density, response (Holling, 1965). between clearance rate and if 10g10 clearance rate is plotted against prey density (Fig.3.4). Because the experiments were carried out on a number of days, and because mysid length differed between treatments, analysis of covariance was carried out to a) determine whether either of these covariates had a significant ~ effect on the results and b) to correct the estimates of clearance for any effects that were detected. The analysis was conducted on log(x+l)-transfromed data because of the obvious dependence of the variance on the mean (Fig.3.3). Neither day nor mysid length had a significant only the treatment effect was significant effect on the results, and (Table 3.4). In the light of this result, clearance rates were not adjusted. At 25 prey/I, clearance rates were significantly higher (p<O.Ol, t-test) in 5 litre vessels than in 2-litre vessels. At 50 prey/litre, differences statistically independent however, between clearance rate in 2-litre and 1-litre vessels were not significant. ( p>0.05). Clearance rates thus appeared to be of vessel volume at prey densities above 50 prey/litre, mysid foraging activity appeared at lower densities while to be greater in larger vessels than in smaller vessels. Under circumstances Fulton(1982) where clearance rate is independent of vessel volume, has pointed out that prey density will decline faster in smaller vessels; consequently, predation rate will be higher, for a given clearance rate, in larger vessels. This observation has been used, following Fulton (1982) to generate a functional response standardised The results of standardisation to unit volume (Figs.3.5,3.6). ( computing predation rate by holding v • 1 in the equations of Frost (1972) and Marin et al 1987) are indicated in Table 3.3: values for larger vessels are substantially between different-sized reduced, and differences vessels at 25 and 50 prey/litre also much reduced. The functional response was modelled in two ways. Firstly, a rectilinear model, frequently applied to invertebrate predators (Cooper and Goldman 1979), fitted by eye (Fig.3.5). A chi-squared goodness-of-fit test yielded a value of 8.64 (p<O.Ol). Secondly, an attempt was made to fit Bolling's (1965) disc equation (Fig.3.6): ~ Na • aNT 1+ aNTh where Na • no. of prey eaten a • instantaneous N • no. of prey available Th T coefficient of attack • handling time (d) • duration of experiment (d) This yielded an estimate of 0.873 for a and of 6.97 minutes for Th. The curve corresponding to this solution was generated by a computer plotting routine (GINOGRAF) (Fig.3.6). The chi-squared value was 8.06, indicating an adequate fit. The 'disc' model suggests that predation rate will increase at a decreasing rate up to prey densities in excess of 1000/litre; this .. .,w 8 • .~ LIl ~ .~ Ct-t . 8 J::::l ~ Q b.!l .~ -g 0 • Cl) • <:> rn a.> 0 C> •.-1 N ~ § U) Q 0 0 '-' ~ ~ ..-c ~ ~S> a.> 0 CIl Q <l> e: 0 U) ..-c ,.-I r-4 0 Ct-! I r-i P4 <l> Pi 0 Ct-t -. .-I "cd ~ a.> f-I Pot 0 ~ ..-c Cl) 0 0 ~ (J) 8. •.-1 ~ ~ ro (J) r;;l s (J) •.-1 ~ CIl ~ ~ 0 '" • .-, " n § ~ Cl) 0 LIl .- 0 C> , 0 LIl .- (I_P.I_P1SAw.spoaaaoo) a~~~ UOl~~pa~ i .: , 2.50 2.51 Table;·5 Mean clearance rates ( llh and 95% confidence intervals) of mysids feeding at 50 and 100 prey/litre in the dark and at 25,50 and 100 prey/litre in the presence of detritus Clearance rates calculated using exponential equation. Prey density Clearance rate(l/h) 95% C.l. .50 1.28 0.39 100 1.41 0.20 25 0.98 0.17 50 0.76 0.18 100 0.67 0.10 Dark Detritus Table3·~ Analysis of covariance of log(x + 1) -transformed . clearance rates measured at a range of prey densities; variance partitioned by prey level and blocks(days) with predator length as a covariate. Source of variation df Mean square F Residual Regression (length on rate) Constant Prey density Blocks(days) 23 1 0.00163 0.00668 4.09 1 6 0.02310 0.10822 0.00187 14.16 66.37 1.15 .~ 4 2.52 Significance NS 0.01 0.001 NS is approximately the maximum abundance observed in UK estuaries (Burki11, 1982) and is almost double the highest abundance recorded for Eurytemora in the Forth (Roddie, 1980). At 1000 prey/litre, to be 167 copepods/day,and this may be considered predation rate is predicted the effective maximum rate likely to occur in the upper Forth estuary. It should be noted that in fitting the above curves, predation rates at 25 and 50 prey/litre vere those derived from experiments in the larger of the two vessel sizes used. Predation in the presence of detrital material No mortality vas observed amongst unpredated cope pods in this experiment. Kysid faecal material recovered from the experimental colour, and contained considerable vessels was dark in amounts of compacted material. By virtue of the contrast between these faeces and those produced in the previous experiment, it vas inferred that the compacted material was of detrital origin. The faeces also contained identifiable Since the vessels were unstirred copepod remains. throughout the exposure period, the mysids had clearly spent some of their time foraging on the vessel bottoms. This inference vas supported by direct observation; was not constructed, apportioned although a formal time budget intermittent viewing indicated that time vas between bottom-feeding and active swimming. It was also observed that a variable proportion of copepods vere located at the sediment surface whenever viewing took place, so it is not clear whether or not ingestion of detritus vas simply a consequence of foraging for these animals. Predation rates (Table 3.7) and clearance rate (Table 3.6) were similar to those at the same prey densities in the absence of detritus. Predation ranged from a minimum of 15/day at 25/litre to a maximum of 54/day at 100 prey/litre. ) ) '"' M ''d M • .-.- ''d ...t co t-• M ...., O- 2 CD ~ CD c 1 "'-1 S litre vessel 2 litre vessel 1 litre vessel I .J ,! 25 SO ~ CD 2 .- 0- b) 24h clark 12.12 LD .- 2 0- f 1 I 1 I M 0 c..) 6S mg.1 -1 detritus 1.2 um filtered ! .' SO. . 100 0 SO Prey density(eopepods.1-1) ) Figure 'J ) '.7 The effects of vessel size (a), absence of light (b) and presence of detritus (c) on the clearance rate of N.integer feeding on E.affinis 100 Mean clearance rate in the presence of detritus was compared statistically at each prey density with clearance rate in filtered seawater. F-ratios for each pair indicated that variances were homogeneous, performed on untransformed so t-tests were values. At no density were significant differences apparent (p> 0.05, Fig.3.7c). Foraging on copepods did not therefore seem to be affected by the presence of a potential al~ernative food source. Predation in the absence of light As with the experiments reported above, no copepod mortality other than directly due to predation was observed. Predation rates at 50 prey/litre ranged form 21-41/day, and at 100 prey/litre from 70 to 83 prey/day (Table 3.6). Clearance rates (Table 3.5, based on equation (3» had a mean value of 1.28 ltd at 50 prey/litre and 1.41 ltd at 100 prey/litre; was not statistically significant (p>0.05, Fig.3.7b). Clearance rate at each density was compared with clearance rate lighting conditions at 50 prey/litre therefore apppeared at the same density under normal (Fig.3.7b). Vhilst there was no significant difference (p>0.05), a statistically at 100 prey/litre this difference significant difference did exist (Fig.3.7b, p>O.OOl). At higher prey density, foraging to be more effective in the dark. 255 Table Prey Density !.~Mysid predation on E.affinis in the absence of light Mysid Vessel volume{l) length{mm) 1 50 1 100 No. prey recovered Control recovery No. prey No. taken dead 14.0 15.0 13.5 13.0 13.5 9 13 29 14 (SO,SO) 41 37 21 36 39 0 0 0 0 0 14.5 15.0 13.5 13.0 14.5 30 26 17 23 27 (98,99) 70 74 83 77 73 0 0 0 0 0 11 Table;'rMysid predation on E.affinis in the presence of < 69 um naturally-ocurring detrital material No. prey Control No. prey Mysid Vessel Prey Density volume{l) length(mm) recovered recovery taken No. dead 2 17.0 16.5 15.5 15.0 16.0 28 32 35 28 31 (50,50) 22 18 15 22 19 0 0 0 0 0 50 1 13.5 15.5 13.0 14.5 16.0 23 17 29 26 24 (50,50) 27 33 21 24 26 0 0 0 0 0 100 1· 16.0 14.5 15.0 16.5 15.5 46 59 46 54 51 (100,100) 54 41 54 46 49 0 0 0 0 0 25 .,. ... Discussion Discussion Field survey Equipment performance The sampling equipment performed reliably throughout the survey period, and proved to be an effective method of sampling zooplankton in shallow and turbid waters. No physical damage was incurred by animals present in samples, but passage through the pump did detach eggs sacs from species such as.Eurytemora. A field assessment of fecundity in this species was therefore not possible. Taxa identified A total of 55 taxa were found in the samples collected, although some of these were identified only to family or higher level. This contrasts with the 135 taxa identified in a contemporary study of the main channel Forth zooplankton by Taylor (1984, 1987). Taylor encountered euphausids, considerably ctenophores, mysids and a greater variety of meroplanktonic found in the littoral/intertidal larvae than were zone. His samples were, however, numerically dominated by the same restricted group of neritic copepods (Acartia, Oithona, Centropages, Temora, Pseudocalanus) as were the samples in the present survey. A feature of the present study was the persistent presence and numerical dominance of Eurytemora at all stations throughout much of the year. This species, although showing a seasonal and spatial pattern similar to that reported by Taylor (1984,1987) appears, as observed by Roddie (1980) and dePauw (1973), to concentrate in the margins of estuaries. The use of a 69 um mesh net in the present study permitted the observation and enumeration of groups such as the small cyclopoid Oithona, rotifers, copepod nauplii and cirripede nauplii which are frequently missed in zooplankton surveys. Amongst the meroplanktonic .' larvae, cirripede nauplii were abundant throughout much of the estuary and most of the year. holoplanktonic, The other, groups, were also widespread and abundant, and would clearly contribute much to seasonal estimates of biomass and production. Rotifers are rarely reported in zooplankton surveys by virtue of their small size; $ynchaeta. the genus dominant in the upper Forth, would not be retained by a mesh of greater than 100 um. Hulsizer (1976) and Allan et al (1976) noted high rotifer abundance during February and March in Chesapeake Bay estuaries, which corresponds to the present findings. These authors also found, however, that this peak coincided with the maximum abundance of Eurytemora; in the present study, the Eurytemora peak succeeded the rotifer peak • .The extension of the survey area upstream of the range covered by Taylor (1984) enables the interface between freshwater and estuarine communities seasonal, to be more clearly reflected, tidal and spatial variation and the in freshwater influence was readily apparent from the survey results. Peak abundance of Daphnia, Bosmina, and Diaptomus at all upper-estuary stations occuured in January and February 1982, just after the rotifer peak and just before a peak in abundance of Maranzelleria larvae. There was thus a succession of abundance maxima; Rotifera > freshwater sp. > Maranzelleria > Eurytemora at Fallin, S.Alloa, Dunmore and Kincardine. Hulsizer (1976) reported a similar succession of rotifers and cladocera in ~ Chesapeake Bay. In contrast, an additional chydorid cladocera, occurrence freshwater taxon, achieved maximum abundance and most frequent in late summer and autumn. This pattern appears to be typical of chydorids (Vhiteside, 1974). The winter peak of rotifers coincided with a winter minimum of Eurytemora. Synchaeta has similar linear dimensions nauplii, but can, by reproducing to Eurytemora parthenogenetically and at a small size, maintain a higher intrinsic population growth rate at low temperatures than can Eurytemora. Competition nauplii and rotifers for resources may exacerbate low temperatures on Eurytemora abundances, the effects of population growth. Conversely, may be that rotifers can only compete successfully at low Eurytemora between it for resources although this might imply a second peak in. rotifer numbers during the summer decline in Eurytemora. Villamson and Butler (1986) have demonstrated that Diaptomus can feed effectively on small rotifers, and it is further possible that the succession of rotifers and Eurytemora is a consequence of predatory interaction. Amongst the meroplankton, Littorina egg capsules were, as previously shown by Alifierakis (1980), clearly associated Although not numerically and Berry(1980) and Roddie in abundance with high spring tides. reported, the presence on occasion of large numbers of turbellaria in S.Allloa samples is worthy of note, as these animals may exert significant predation pressure on zooplankton (Maly et al 1980). Community structure and environmental variables The zooplankton data were rather sparse, with low abundances and infrequent occurrences of the majority of taxa. Vith the exception of Eurytemora and the rotifers, Taylor (1984) found higher abundances of most taxa common to both studies. This contrasts with the pilot intertidal study of Roddie (1980) which found generally higher abundances of most taxa than in the present study. Further, since not all samples planned could be taken, the distribution of samples among attributes station, date) was unbalanced. 260 (tide, Despite these shortcomings, reasonably successful relationship the methods applied in analysis were in describing with environmental Chi-squared community structure and its variables. test of association between occurrence and sample type This approach proved reasonably effective in discriminating between species and sample categories. A strong distinction was apparent between the neritic copepod community and marine ~ incursors, and the freshwater community. The relationship between these groups and tidal and spatial variation was also clear. The larvae of benthic invertebrates spring tides (where any association were associated with high existed), and their occurrence was biased toward lower-estuary stations. This is a reflection of both the location of the parent populations the advantages and of in larval dispersion derived from release during periods of maximum tidal excursion. Greater tidal penetration spring tides is also likely to account for the higher relative frequency of occurrence of neritic copepods and marine species during this phase of the semilunar cycle. 261 on Classification Classification analysis indicated that Centropages was confined to spring/summer samples, and was closely allied with the occurrence of terebellid larvae. Oithona and Pseudocalanus were most abundant in spring, but occurred frequently throughout the summer and autumn, and Temora was associated with these species although occurring less frequently. Taylor (1984,1987) found these copepod species generally most abundant in winter. The seasonal pattern of the Acartia spp. matched that found by Taylor (1984,1987); A.bifilosa inermis and A.longiremis were most abundant in spring and autumn, while A.tonsa had a late summer. peak. Polydora and cirripede cyprids occurred primarily in spring but, as noted above, cirripede nauplii we/present in many, samples throughout the year. The nauplii and cyprids were not distinguished in the samples, but are likely to have been predominantly Balanus in the spring and Elminius during the summer. In general, the neritic and meroplanktonic assemblages were seen to be associated with higher temperatures and primary production. TS/HDA analysis indicated that Pseudocalanus Oithona were more persistent than Temora and Centropages; and the former pair were common .in samples associated with lower salinity and higher freshwater discharge ( e.g. in the Skinflats data set). It was evident that primary production increased as a discriminating factor with decreasing distanc~ from the upper tidal limit. This was related to the joint advection of lower estuary phytoplankton and zooplankton also revealed the increasing community assemblages. Classification importance of the freshwater in the same direction. The species associations were preserved, however, wherever overlap between stations occurred. Analysis by date group emphasised the importance of seasonal factors, with groups in the latter part of the year reflecting greater positive influence of primary production and temperature. The impact of benthic larval production was exagerrated within date groups 4 and 7. Analysis of samples grouped by tide indicated that information on ~ structure was preserved in larger, more diverse sample sets. The Oithona/cirripede nauplii/Pseudocalanus a robust diagnostic association proved to be feature of sample division. Salinity was relatively more important for the spring and neap tide categories than for high and low tide categories due to the inclusion of semidiurnal For completeness, tidal variation in the latter. TS/MDA was conducted on the entire data set. Vhilst it was impracticable table and dendrogram, illustrate to represent the results as a two-way the vector plot was constructed the overall relationship The plot emphasises between variables to (Fig.4.1). the overall dominance of salinity, and shows the strong association between salinity and distance from upper tidal limit. Percent organic and tidal ~tate are also clearly linked to salinity, although purely for reasons of definition 26) in .... N o r:: 0 or4 ... co .-4 CIS ... CIS .' (,) 0 r-4 CO ~ N m r-4 r-4 as e • ...,.~ E-t , N r-4 • .::t ~ ~ ~ N 0 264 N I '" I r:: QI r:: e GIr:: ..c 0 ... 'CI-I Gl0r4 bO'" > r:: CIS r:: or4r::QI >O'C QI ..c1-l.-4 UlOCo S .. Ul CIS 'C Co Ul QI ::s r::0~ or41-10 .abO e Ul 0r::..-4 (,) CIS Ul Co CIS Ulrn,.Q GI r:: r-40r4Q1 o.>..c E~'" CIS Ul co r:: 0 r-4 ~ r-40Ql CIS (,) U2n1 1-1'C 0..-4 Co Ul ~O 1-1'" c:: o r:: CIS Ul r-4G1r::QI 0.(,)..-4'" e ::s I-IGI_.a o..c 1-1or4 ...... (,)1-1 (,) Ul'" ...... GI~- >o'CnI ... the latter case. Date (association with sample cycle) is, as noted previously, approximately orthogonal to salinity and is the second most important variable. Inorganic suspended solids and phaeopigments tended to be higher at low salinities and up-estuary, a reflection of the existence of a turbidity maximum. Chlorophyll a and acid ratio were closely linked, and were also orthogonal to salinity, while temperature tended in the same direction as salinity but was less influential. Temperature showed some link with chlorophyll a. Discharge acted in the opposite direction to salinity and temperature and was also associated with low primary productivity. ~ The species associations identified in the analysis .of data subsets were preserved in the all-sample analysis. MDA correctly reclassified 70.3% of samples. Vright et al (1984), using similar methods, found approximately the same success in reclassification for a larger sample set. In the present study success in reclassification decreased. generally improved as the size of the sample set Assessment Vhilst DCA ordination environmental of methods followed by correlation with variables demonstrated it was difficult to quantitatively influence as well as TS/HDA, relate the results to community structure since the information accessible in the final ordination •• This constraint also applies to other ordination methods such as non-metric scaling as well as to to classification similarity about species is not indices. The Bray-Curtis multidimensional methods based on classifications in the present study were much less intelligible classifications carried out than the TS and have therefore not been reported. A major advantage of TS is that the end-product is a two-way ordered table in which both species and samples are classified. only can association identified, Thus, not between species and sample clusters be but the degree of order in the table can be interpreted as an indicaton of the success of the analysis (or of the degree of underlying order). In the present work, it was possible to independently sensitivity of the analysis since the association assess the of samples belonging to the same logical categories was readily apparent in the dendrogram derived from the table; i.e. within each TS group it was relatively easy to see if samples were grouped on the basis of station, tide or date. Further analysis was,strictly, necessary where a heterogeneous group was observed. association only of samples within a The utility of MDA has long been recognised in disciplines such as numerical taxonomy and sociology, and Vright et al (1984) and Green and Vascotto (1978) inter alia have demonstrated application its in ecology. By adopting a simple method of variable visualisation, the present study has achieved. two things. Firstly, the relative influence of environmental, temporal variables in distinguishing can readily be demonstrated. spatial and between biological groups Secondly, the overall relationships between variables can be concisely summarised. The method appears to be robust, in that useful and intelligible information was recovered from an unbalanced and rather 'noisy' data set. In fact, most of the information seemed to be preserved ~ if the data were treated in terms of presence and absence. Beyond this, semi-quantitative data was sufficient influence of seasonal fluctuations Eurytemora, to reflect the in abundance of taxa such as rotifers and meroplanktonic larvae. Although Green (1974) described a more rigorous approach to the use of MDA in analysing survey data with temporally-varying environmental data, the present methods were reasonably effective in simultaneously distinguishing the effects of spatial and temporal variables. 267 Patchiness 1. Dunmore samples: temporal variation at a single site The back-transformed 95% confidence limits for a single sample were 29-347% ,within the range reported by Gagnon and Lacroix (1981) for a variety of taxa, and are similar to those reported by Roddie et al (1984) from a previous study on the Forth. The uncertainty of an estimate appears to increase with abundance (Gagnon and Lacroix 1981), so abundance estimates based on a single sample need to be treated with caution. 2. Skinflats samples: spatial variation The patch sizes defined in this work syggest that the routine practice of traversing approximately should have 100m in sampling still water ensured a reasonably representative sample. The maximum range of variation for a single taxon ( about a factor of 11 for Eurytemora) was similar to that found at Dunmore. The contrast in distribution about the salinity-temperature front between the cope pods and the Polydora larvae is probably a consequence distribution of the parent polychaete population; be unrelated to the development this would, of course, of ephemeral high tide water patterns. The existence of the front is interesting indication of the degree of small-scale physical characteristics of the of an estuary. in itself, as an hetereogeneity in Eurytemora affinis The results of field and laboratory will be considered investigations on Eurytemora together in this section. 1. Predation Vhilst clearance rates appeared to be independent of vessel volume at 50 prey/I, ther was evidence at 25 prey/l that foraging activity might be relatively constrained in smaller vessels. Thus, mysids in 5 litre vessels appeared to search a larger .' volume in 24h than those in 2 litre vessels. This contrasts with the findings of Fulton (1982) who reported, in a study of Neomysis and Hysidopsis predation on Acartia and Centropages that clearance rate was independent of vessel volume at all prey densities. In the present study, at 25 prey/I, final prey density was rather similar in both 2 and 5 litre vessels at about 16-18/1. Prey density declined at roughly the same rate in both sizes of vessels; the measured clearance rates may reflect a steady acclimation of effort to declining prey density, and thus point at low prey densities to some inhibition in smaller vessels. Irrespective prey densities, of volume, clearance rates were higher at lower declining approximately logarithmically as prey density increased. Clearance rates show~d evidence of decline at densities above saturation; Frost 1975) characteristic this is considered (Fulton 1982, of animals displaying a Type II or curvilinear functional response (Holling 1959), although the chi-squared test did not distinguish effectively between the goodness of fit of this model or of a rectilinear model. The curvilinear model yielded an estimate of handling time and maximum daily predation rate of 6.97 min. and about 170/d respectively, while the rectilinear model sugested values of 12 min. and 120/day. Predation rates at up to 100 prey/l were similar to those estimated by Fulton (1982) for Mysidopsis feeding on Acartia. Predator and prey in Fulton's experiments were very similar in size to Neomysis and Eurytemora ~ respectively. Cooper and Goldman (1980), however, reported predation rates of 15mm Mysis relicta which were approximately 50% higher than those reported here. Visual predation did not appear to be important in NeomysiSI indeed, predation rates at higher prey densities were higher in the dark than in the light, which might suggest that the level of iilumination interfered with mysid behaviour or perception •. Cooper and Goldman (1982) found no difference between foraging rates of Mysis relicta in the light and dark, while Ramcharan and Sprules (1986) found that Mysis relicta had significantly higher predation rates on Daphnia in the light. The high turbidity characteristic especially aggregrate, of the Neomysis/Eurytemora habitat would, in the shallow regions where both species tend to render visual predation ineffective much of the time. The omnivorous, nonselective nature of Neomysis foraging was 270 illustrated by the lack of effect of detritus on predation rate, despite the evidence of ingestion of detritus. A rectilinear model of foraging may, in the light of this, be more appropriate, as it implies a random search pattern and the ingestion of food items in proportion to their abundance. Neomysis could not be quantitatively sampled in the present study but could, even at a density of 5/m-3, account for a considerable proportion of the Eurytemora population during the late summer. The potential impact on.naupliar copepodite stages was not investigated, additional pressure on recruitment 2. Development Development and early but could constitute an success (eg Fig. 4.2). rates rate in Eurytemora was not affected by differences in food level, but was quantitatively related to temperature. Final body size was not measured, so unfortunately no information was obtained on growth rate. Corkett and McLaren (1970) noted an inverse relationship Development between size and development was approximately line could successfully rate. isochronal, .in that a straight ·be fitted to the plot of stage against time. Kelin Breteler et al (1982) described isochronal development in four species of North Sea calanoids, and the data of Vuorinen (1982) for E.hirundoides similarly suggest isochronal 211 5 D J F M A M J 1981-1982 .,' filled circ1es- E.affinis open circ1es- N.integer Figure 4~2 'Meanupper-estuary 272 al:wldances J A 5 o N development. It should be noted, however, that in the present study the duration of the n2 stage was consistently longer than that of the other naupliar stages. Landry (1983) reported similar observations for Acartia and Pseudocalanus. The longer n2 stage may be a consequence of the need to replace energy expended during the nonfeeding nl stage. Development times were similar to those determined for Eurytemora using a variety of techniques. Vuorinen estimated total development time at 10 deg.C to be between 27 and 33 days (cf 39 days at 8 deg.C), while Heinle and Flemer (1976) estimated a shorter period of 26 days at the same temperature. At 20 deg.C, agreement was closer, with estimates of 15.5 days ~ and 13.5 days respectively Vijverberg (cf 15.25 days). Estimates of (1980) at 15 deg.C were 8.3 days for nauplii and 9 to 12 days for copepodites, giving a total of 17.3 to 20.3 days (cf 17.0 at 16 deg.C). The shape of the curve relating temperature to development rate indicated that the effects of temperature were most marked at lower temperatures. C Little reduction was apparent from 16 deg. to 20 deg.C, and it can be concluded that generation time is relatively independent of temperature above 14 deg.C and is highly dependent below this temperature. 273 3. Field observations The annual variation in length followed an unusual pattern, most marked in adult females. Conflicting relationship des~riptions between body length and temperature have been reported in the literature. A negative relationship was described of the for cope pods by Deevey (1960) and Harsha11 and Orr (1955), but Evans (1977) described a positive relationship for Pseudoca1anus. Evans (1977) also reported a bimodal pattern for Temora, similar to that found for Eurytemora in the present work. Be subsequently length variation ~ Variation in Temora to variations in length in Eurytemora in food quality. in the Forth led to largest body size in September, at water temperatures which the annual length minimum occurred; be the controlling related similar to that at temperature cannot, therefore, factor. The length variation was less evident in earlier stages, which were measured only for 9 dates; the more frequent measurements for adult females confirmed that the peak was real. The subsequent decline in body size was followed by a return to normal winter size. The dramatic increase in length (c. ~O%)between August and September argues that generation time was short, as no size overlap was apparent. The clear synchrony of change in size between all stages similarly suggests a short adult life span at all seasons. This study has demonstrated temperature-dependent. with field observations that development Combining rate is strongly the findings on development of the relationship 214 rate between length and stage led to the prediction of highest daily length increments August and September and lowest daily length increments midwinter. in in Thus, on the one hand, growth rates are similar between samples of radically different body size growing at similar temperatures and on the other growth rates differ widely between specimens of much more similar size growing at very different temperatures. controlling Clearly, temperature cannot be the factor body size and, as noted above, the lack of overlap between samples suggests rapid development so food should not be limiting. Eurytemora displayed a clear peak of abundance in May, reaching numbers .in excess of 250000 m-3. Abundances ~ were considerably lower than found by Roddie (1980) somewhat later in the season, and very much lower than maximum numbers reported for this species elsewhere (Burkill et al 1982, Heinle and Flemer 1976). Taylor (1984,1987) has demonstrated, however, that variations in zooplankton abundance between consecutive years can exceed one order of magnitude. Following the spring peak, abundance declined to a minimum at the same time as body size reached a maximum. A reduction in fecundity might leave more energy available for somatic growth, if the reduction were not itself a consequence of food limitation. The rapidity with which .body size increased makes food limitation an unlikely possibility. Alternatively, increased predation pressure from mysids could lead to selection for increased body size as a refuge from attack, although ~arly stages would still 275 be vulnerable were they present. One further, simpler , hypothesis might be that the sudden change in size was due to the replacement of the local population by a larger adjacent population. Measurements size distributions were not made of at other sites to test this hypothesis, but evidence can be adduced that in high spring tide samples in May mean female lengths did not differ significantly between Fallin, S.Alloa and Dunmore. It would be likely that, if morphologically distinct populations existed, evidence of advection woud have been apparent at that time. In either case, it is possible that seasonal genetic selection could account for the change in size; Bradley (1978) demonstrated ~ tolerance characteristics seasonal selection for thermal in an American.Eurytemora population. Summary Application of classification and discriminant year's field survey data demonstrated objectively analysis to one the practicability of relating zooplankton community stfucture to physical, spatial, and temporal variables. Littoral zooplankton have been shown to have a clear structure which agreed well with that descibed by other studies on the Forth, and which could successfully be defined in terms of the above variables. Field and laboratory studies relating to Eurytemora affinis demonstrated: a) seasonal variation in'abundance and size b) a well-defined relationship beteen temperature and development rate c) the capacity for predatory interaction between this species and Neomysis, one of the co-dominants of the low salinity region of the estuary. References Alifierakis N S and Berry A J 1980 Rhythmicegg release in Littorina J. Zoo1. Lond. 19 297-307 littorea Allan J D, Kinsey T G, and James M C 1976 Abundancesand production of copepods in the Rhode River subestuary of Chesapeake Bay Chesapeake Science 17 86-92 Aetthorl5eon 0 Stand Ralph R 1984 Growthand Moulting of NeoJllysisinteger (Crustacea,Mysidacea) Mar. BioI. 79 .. 55-62 ' Boak A C and Goulder R 1983 Bacterioplankton in the diet of the calanoid copepod Eurytellora sp. in the Hu.ber estuary Mar. Bio1. 73 139-149 Boleyn B J 1967 A sillple pipette control for isolating Can. J. Microbiol. Bottrell H H 1975 Generation tille, 13 planktonic algae 1129-1130 length of life, instar duration and trequency of .ou1ting, and their relationship to teaperature in eight species of Cladocera froll the River Thaltes. Reading . . Oeeo1ogia 19 129-140 Bradley B P 1978 Ine~e in the range of temperature tolerance by acclimation in the copepod Euryte.ora affinis BioI. Bull. Bray J R and Curti. J T 154 177-187 1957 An ordination of the up1an4 forest couuni ties Southern Viseonsin Eeo1. Monogr. 27 324-349 278 of Burki11 P H and Kendall T F 1982 Production of the copepod Eurytellora affinis in the Bristol Channel Mar. Eeo1. Prog. Sere 1 21-31 . Burlti11 PH, Owens N J P and Mantoura R F C 1982 Zooplankton processes and the food web at the freshwater-braekishwaterinterface (FBI) Abstract, Bulletin of the Estuarine and Braekishwater Sciences Association no. 32 pp 11-18 Collins N R and Wil1iaas R 1982 Zooplankton coamunities in the Bristol Channel and Severn estuary Mar. Eeo1. Prog. Sere 9. 1-11 .. ' Cooper S and Go1daan C R 1980 OpOSSUll ShriMP (Mysis relicta) predaticn on zooplankton Can. J. Fish. Aquat. Sci. 31 909-919 D Cooper S D and. Golden C R 1982 EnvironMental factors affecting predation rates of Mysis relicta Can. J. Fish. Aquat. Sci. 39 203-208 Corkett C J and McLaren I A 1910 Relationships between develop.ent rate of eggs and older stages of copepods J. mar. bioI. Ass.U.K. 50 161-168 Deevey G B 1960, Relative effects of te.perature and food on seasonal variations in length of urine copepods in soae eastern AAerioan and western European waters. Bull. Bingaa oceanogr. Co11. 11 5+-85 de Jorge and Bounan 197/ A simple ~nsity separation technique for quantitative isolation of .eiobenthos.using the colloidal si1ic& Ludox TM Mar. Biol. 42 143-148 DePauw N Evans F 1973 On the distrl bution of Eurytemora affinis in the Western ScheIdt estuary Vem. Internat. Verein. LiMol. 18 1462-1472 1977 Seasonal density and production estimates of the cOJlJlonerplanktonic copepods of Northuaberland coastal waters _Es_t_._C_oa_sta_l_Mar __ • _S_ci_._-=-5223-241 Forth River Purification Board 1983 Annual Report Edinhtrgh Frazer W. .,. and SIli th A A 1968 A hydraulic .odel study of heat dissipation at Longannet power station hoc. Instn. Civ. Engrs. 39 23-44 Barr D I H. Frolander H F 1968 Statistical variation in Eooplantkon nuabers subsaBp1ing with the Steapel pipette J. Water Poll. Cont. Fed. 40 82-88 Frost B W 1972 Effects of size and concentration of food particles on the feeding behaviour of the aarine planktonic copepod Calanus paoificus Lillnol. 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Fennici 19 129-134 Whiteside M C 1974 Chydor1d (Cladocera) ecology. seasonal patterns and a"blm3.anceot populations in Elk Lake" Minnesota Ecology .5.5.538-.5.50 Williaason C E and Butler N M 1986 Predation on rotiters by the suspension-feeding calanoid copepod DiaptollUs pallidus Limo1. Oceanogr.:3 Wishart 39:3-402 1970 CLUSTAlh A Fortran program for cluster analysis Wright J F, Moss D. ArIIi tage P D and Furse M T 1984 A prelillinarr classification of running-water sites Great Britain based on Dcro-invertebrate in species and the prediction ot communitytype using environaental data Freshwater :BioI. 14 221-2,56 28.5 Appendix A Environmental variables Variables are identified in tables as follows: Tide Date FV disch Susp.solids %organic Chla Phaeo Sal Temp .. ' tidal state decimal mon th mean monthly freshwater discharge (Cumecs) total suspended particulate material (mg/l) percent of susp.solids lost on ignition Chlorophyll a (ug/l) Phaeopigments (ug/l) salini ty (%0) temperature (deg.C) Table Al Tide Date Environmental variables : Culross FY' Disch. S N S N S N S N S S S N S N S N S N S N 3.37 3.60 3.86 4.07 5.32 ,5.55 5.77 6.00 7.25 8.84 9.20 9.43 9.67 9.90 11.10 11.30 11.53 11.73 12.48 12.74 113.1 113.1 113.1 25.1 22.9 22.9 22.9 22.9 12.1 24.1 77 .9 77.9 77 .9 77.9 135.2 135.2 135.2 135.2 114.3 114.3 Susp. solids % org Chla Phaeo Sal Temp 50.80 40.30 74.18 39.78 17.80 33.20 122.18 8.30 7.45 21.18 8.18 5.75 7.80 22.50 0.00 0.32 3.95 1.18 1.18 9.35 8.61 6.73 3.04 4.35 4.36 1.49 4.02 12.69 * * 3.11* 25.8 28.6 26.8 23.6 27.5 27.5 28.7 26.3 32.6 27.1 26.6 27.0 29.9 10.6 22.9 23.5 26.6 18.6 22.9 26.1 5.5 9.5 10.5 11.5 15.5 14.5 16.5 17.5 27.5 19.0 14.5 14.0 16.5 13.0 11.0 11.0 8.0 6.5 13.5 6.5 * * 48.76 77.56 40.60 257.90 30.35 33.15 40.08 185.77 61.20 238.50 51.52 * * 13.60 24.32 2.54 8.75 45.00 6.90 6.30 7.85 35.70 15.40 32.13 11.50 4.33* 2.72 7.36 2.48 2.00 2.20 9.88 1.34 6.68 0.00 2.26 1.03 8.49 4.06 0.33 1.89 12.70 2.40 16.55 2.90 Table A2 Environmental variables : Skinflats Tide Date S 0.35 S 1.39 N 1.61 S 1.87 N 2.11 S 3.37 N 3.60 S 3.86 N 4.07 S 5.32 S 5.77 N 6.00 S 9.20 N 9.43 N 9.90 S 11.10 N 11.30 S·11.53 N 11.73 S 12.48 FY Susp. %org Disch solids 100.0 97.2 97.2 97.2 79.4 113.1 113.1 113.1 25.1 22.9 22.9 22.9 77.9 77.9 77.9 135.2 135.2 135.2 135.2 114.3 * * * * Chla Phaeo Sal * * * * 154.60 25.85 56.70 9.40 .32.20 5.45 ·38.33 11.73 29.68 7.63 33.80·8.75 35.08 7.80 * * * * 0.00 0.00 0.11 0.75 1.18 1.39 4.41 * 31.0 * 27.0 * 15.0 * 25.0 3.45 2.84 4.08 3.81 2.64 4.08 3.14 21.5 27.4 18.6 27.4 23.6 23.4 29.6 * * * * 26.2 57.36 14.85 7.68 3.66 27.7 34.18 6.23 1.34 3.00 27.8 ·24.55 5.65 3.00 1.79 10.4 43.10 6.60 2.97 2.99 18.0 53.98 8.00 1.67 2.77 20.3 205.27 33.13 7.81 12.74 23.9 51.93 10.00 1.91 4.78 15.8 170.23 27.37 1.00 20.95 27.6 Temp 7.0 0.0 3.5 3.5 1.5 5.0 8.5 9.5 7.5 21.0 14.5 25.0 12.5 15.0 12.5 10.0 10.0 7.0 5.5 7.5 Table A3 Tide Environmental variables : Kincardine Date FV Susp. %org Disch solids Chla Phaeo Sal 0.35 100.0 * 31.5 * * * 0.58 100.0 * 30.5 * * * LN 0.58 100.0 * 23.0 * * * HS 1.39 97.2 * 25.0 * * * LS 1.39 97.2 * 18.5 * * * HN ·1.61 97.2 * 11.5 * * * LN 1.61 97.2 * 12.0 * * * HS 1.87 97.2 * 23.0 * * * LS 1.87 97.2 * 15.0 * * * HN 2.11 79.4 26.80 5.60 0.00 1.79 17.5 LN 2.11 79.4 28.65 5.85 0.00 2.04 11.0 HS 3.37 113.1 63.90 10.00 0.00 1.65 18.4 LS 3.37 113.1 494.40 71.80 0.00 18.70 4.6 HN 3.60 113.1 12.50 2.90 0.00 1.27 20.2 LN 3.60 113.1 25.55 5.10 0.53 1.48 15.4 BS ·3.86 113.1 52.23 13.78 0.85 3.78 24.4 LS 3.86 113.1 140.15 29.95 0.67 11.67 10.4 HN 4.07 25.1 37.77 8.13 1.18 4.06 15.4 ··w 4.07 25.1 156.65 23.45 2.00 8.93 14.0 HS 5.32 22.9 22.50 5.15 4.57 1.45 26.7 LS 5.32 22.9 75.10 14.55 2.63 7.97 9.7 HN 5.55 22.9 17.10 4.20 2.24 3.18 25.0 LN 5.55 22.9 394.66 60.33 8.19 21.59 16.3 HS 5.77 22.9 31.73 6.05 4.74 5.21 29.8 LS 5.77 22.9 60.83 10.85 2.40 6.31 15.6 BN 6.00 22.9 * 22.9 * * * LN 6.00 22.9 * 21.5 BS 7.25 12.1'104.28* 23.08* 8.33* 5.52 30.5 LS 8.84 24.1 * 24.9 * * * HS 9.20 77 .9 33.91 8.90 7.01 2.80 29.1 HN 9.43 77.9 23.20 4.25 2.16 1.58 23.1 LN 9.43 77.9 70.40 15.30 3.20 4.46 14.4 HS 9.67 77.9 259.90 48.50 6.94 8.03 30.4 LS 9.67 77.9 61.20 12.30 3.47 3.25 9.6 LN 9.90 77.9 34.02 7.68 2.34 0.82 8.2 HS 11.10 135.2 61.40 11.80 1.74 2.54 24.3 HN 11.30 135.2 50.03 8.60 1.04 1.82 14.4 LN 11.30 135.2 92.60 14.07 1.47 8.19 3.4 HS 11.53 135.2 53.32 9.18 2.80 2.87 24.5 LS 11.53 135.2 637.97 96.63 21.22 24.19 8.2 HN 11.73 135.2 37.35 8.43 0.00 1.98 23.6 LN 11.73 135.2 55.60 12.40 0.00 5.69 10.0 HS 12.48 114.3 106.77 16.70 0.45 10.46 22.8 LS 12.48 114.3 462.82 62.29 15.14 21.27 13.6 HN 12.74 114.3 32.37 7.75 0.80 1.53 23.5 LN 12.74 114.3 49.12 10.55 1.17 3.62 9.1 HS HN Temp 7.0 2.0 2.5 2.5 1.5 3.0 2.5 4.0 3.0 5.0 5.0 4.5 3.5 5.0 6.5 9.0 6.5 8.0 9.0 13.5 11.0 13.5 16.0 13.5 14.0 15.0 16.0 16.5 16.5 13.5 13.5 13.0 14.0 15.0 12.0 10.5 9.5 9.5 8.5 7.0 7.0 5.5 7.0 6.0 5.5 4.0 Table A4 Environmental variables : Dunmore Tide HS HN LN HS LS HN LN HS LS RN LN HS LS HN LN HS LS RN LN HS LS HN LN HS LS HN LN HS HS HS LS RN LN HS LS RN LN as LS RN LN HS LN RN LN as LS RN LN Date FV Susp. %org disch solids Chla Phaeo Sal Temp 0.35 100.0 * * * * 28.0 7.0 0.58 100.0 * * * * 24.0 1.0 0.58 100.0 * * * * 14.0 0.5 1.39 97.2 * * * * 22.0 0.0 1.39 97.2 * * * * 10.0 0.0 1.61 97.2 * * ** 4.0 2.0 1.61 97.2 * * * * 2.5 1.5 1.87 97.2 * * * * 14.0 3.5 1.87 97.2 * * * * 2.5 4.0 2.11 -79.4 22.60 5.20 0.00 2.44 9.0 4.0 2.11 79.4 38.40 5.80 0.00 0.43 1.5 4.0 3.37 113.1 49.20 7.20 0.00 2.64 11.4 5.0 3.37 113.1 304.20 41.00 0.00 10.20 0.6 4.5 3.60 113.1 26.65 4.40 0.00 1.72 6.8 4.5 3.60 113.1 33.20 5.45 0.21 1.81 6.0 5.5 3.86 113.1 35.53 11.031.07 3.27 20.8 8.5 3.86 113.1 319.15 55.55 3.87 17.92 2.0 7.0 4.07 25.1 31.83 7.53 0.85 3.03 20.0 7.5 4.07 25.1 100.15 20.95 1.74 7.89 6.4 8.0 5.32 22.9 27.70 7.95 3.50 3.15 19.2 8.5 5.32 22.9 200.20 36.65 2.31 20.43 4.5 12.0 5.55 22.9 44.13 8.13 2.72 4.06 12.8 15.0 5.55 22.9 20.26 4.46 0.85 2.75 9.5 15.5 5.77 22.9 46.63 9.50 4.21 2.49 28.5 14.5 5.77 22.9 104.33 17.70 4.37 19.96 7.2 14.5 6.00 22.9 * * * * 24.6 15.0 6.00 22.9 * * * * 11.1 16.5 7.25 12.1 853.30 142.40 23.96 41.97 25.1 17.0 8.84 24.1 * * * * 21.7 16.5 9.20 77.9 29.76 7.10 18.69 2.57 17.3 13.0 9.20 77.9 225.71 39.25 15.42 23.69 1.5 12.0 9.43 77.9 36.80 7.55 3.74 2.01 21.2 14.0 9.43 77.9 79.45 14.10 4.24 7.05 3.6 13.5 9.67 77.9 43.65 8.30 3.11 2.90 24.2 14.0 9.67 77.9 143.90 28.50 .5.61 6.95 4.3 15.0 9.90 77.9 20.40 3.95 3.24 2.56 4.2 11.5 9.90 77.9 284.75 41.95 7.08 19.18 5.4 11.0 11.10 135.2 53.35 8.05 1.17 5.02 11.5 9.5 11.10 135.2 190.95 30.45 1.67 16.55 0.5 9.0 11.30 135.2 56.987.75 2.94 6.57 14.5 10.0 11.30 135.2 96.13 13.00 5.52 4.69 2.6 9.0 11.53 135.2 57.03 12.37 3.60 3.31 15.2 7.0 11.53 135.2 383.97 56.43 17.49 17.27 1.8 6.0 11.73 135.2 60.60 13.53 0.98 4.00 3.8 6.5 11.73 135.2 588.80 80.53 12.03 16.72 1.4 5.5 12.48 114.3 86.96 15.10 0.66 7.32 20.6 7.5 12.48 114.3 503.93 83.60 17.81 18.33 4.0 5.0 12.74 114.3 21.36 4.80 0.33 1.54 8.0 2.0 12.74 114.3 10.86 1.95 0.50 0.90 1.9 1.5 Table AS Environmental variables : S.Alloa Tide Date FV Susp. %org disch solids Chla Phaeo Sal Temp HS 0.35 100.0 * * * * 18.0 7.0 HN 0.58 100.0 * * * * 22.5 0.5 LN 0.58 100.0 * * * * 5.5 0.0 HS 1.39 97.2 * * * * 16.5 0.0 LS 1.39 97.2 * * * * 3.5 0.0 HN 1.61 97.2 * * * * 3.0 2.0 LN 1.61 97.2 * * * * 0.5 1.0 HS 1.87 97.2 * * * * 6.0 3.0 LS 1.87 97.2 * * * * 1.5 3.0 HN 2.11 79.4 15.40 3.95 0.10 0.87 3.5 4.5 LN 2.11 79.4 73.45 10.35 0.00 1.51 0.5 4.0 HS 3.37 113.1 314.70 43.50 0.26 3.04 4.4 5.0 LS 3.37 113.1 267.80 28.70 0.80 7.04 0.0 4.0 HN 3.60 113.1 34.45 6.30 0.00 3.06 2.6 4.5 LN 3.60 113.1 38.15 6.05 0.42 2.64 0.6' 5.5 HS 3.86 113.1 37.23 8.78 1.18 3.76 12.2 8.0 LS 3.86 113.1 282.35 49.45 2.14 21.04 0.8 7.0 HN 4.07 25.1 88.95 16.45 1.34 6.78 11.6 7.5 LN 4.07 25.1 237.75 35.45 4.41 9.71 1.0 8.0 HS 5.32 22.9 36.10 9.05 4.27 4.42 12.1 12.5 LS 5.32 22.9 202.70 35.45 2.31 23.95 2.4 11.0 HN 5.55 22.9 16.66 4.26 2.06 2.15 12.6 14.5 LN 5.55 22.9 51.73 9.13 2.19 3.75 1.6 15.0 HS 5.77 22.9 85.93 16.60 2.94 7.18 22.6 14.0 LS 5.77 22.9 266.35 40.20 7.78 18.16 3.5 14.5 RN 6.00 22.9 * * * * 20.0 16.5' LN 6.00 22.9 * * * * 3.2 17.0 HS 7.25 12.1 42.72 11.08 10.95 0.45 19.0 18.0 HS 8.84 24.1 * * * * 17.2 15.5 HS 9.20 77.9 92.51 19.90 8.51 9.95 9.8 11.0 LS 9.20 77.9 465.21 77.95 13.82 42.77 1.0 11.0 HN 9.43 77.9 25.50 4~15 4.67 2.34 10.4 13.5' LN 9.43 77.9 122.65 19~10 4.76 5.08 0.9 13.5 HS 9.67 77.9 77.23 14.40 2.55 2.12 15.9 14.0 LS 9.67 77.9 461.50 70.10 14.77 21.38 1.1 14.5 HN 9.90 77.9 30.40 5.39 4.20 2.15 2.0 11.0 LN 9.90 77.9 338.15 48.35 2.60 13.42 0.8 10.5 HS 11.10 135.2 50.30 7.59 3.10 5.00 6.4 9.5 LS 11.10 135.2 278.35 41.45 8.48 13.81 0.0 9.0 HN 11.30 135.2 59.63 8.50 4.17 3.66 2.6 '9.5 LN 11.30 135.2 113.40 17.13 4.32 6.96 0.0 8.5 HS 11.53 135.2 63.50 10.03 4.67 7.94 4.3 6.0 LS 11.53 135.2 349.57 51.63 14.02 18.04 0.2 5.5 HN 11.73 135.2 33.67 7.33 1.02 3.65 2.5 6.0 LN 11.73 135.2 118.00 19.13 4.14 5.74 0.0 5.0 HS 12.48 114.3 217.16 31.30 6.23 6.23 7.7 7.5 LS 12.48 114.3 372.64 52.80 13.19 12.78 0.5 5.0 HN 12.74 114.3 20.12 4.95 0.33 1.89 6.1 2.0 LN 12.74 114.3 26.27 4.80 1.84 1.08 0.0 1.5 Table A6 Environmental variables : Fallin Tide HS BN LN BS LS BN LN BS LS BN LN BS LS BN LN BS LS BN LN BS LS HN LN BS LS HN LN BS HS BS LS BN LN LS BN LN HS LS BN LN BS HN LN Susp. %org Date FV disch solids 0.35 0.58 0.58 1.39 1.39 1.61 1.61 1.87 1.87 2.11 2.11 3.37 3.37 3.60 3.60 3.86 3.86 4.07 4.07 5.32 5.32 5.55 5.55 5.71 5.77 6.00 6.00 7.25 8.84 9.20 9.20 9.43 9.43 9.67 9.90 9.90 11.10 11.10 11.30 11.30 11.53 12.74 12.74 100.0 100.0 100.0 97.2 97.2 97.2 97.2 97.2 97.2 79.4 79.4 113.1 113.1 113.1 113.1 113.1 113.1 25.1 25.1 22.9 22.9 22.9 22.9 22.9 22.9 22.9 22.9 12.1 24.1 77.9 77.9 77 .9 77.9 77.9 77.9 77.9 135.2 135.2 135.2 135.2 135.2 114.3 114.3 Chla Phaeo * * * * * * * * * * * * * * * 15.300 * * * * * * * * * * * * 2.55 0.00 92.450 215.500 95.800 9.000 14.600 167.500 264.250 83.250 4.065 74.700 249.500 50.900 22.460 238.950 173.950 10.20 0.00 22.60 0.00 10.80 0.00 1.45 1.28 2.45 0.96 30.75 3.38 41.75 1.87 13.85 1.82 7.55 0.69 16.20 2.90 47.75 5.34 8.46 3.31 4.46 4.67 32.90 2.49 28.30 11.39 0.90 2.32 3.74 3.74 0.81 0.31 12.94 14.02 6.48 3.44 22.39 18.02 3.49 2.70 15.08 16.92 * * 33.51 * 15.35 * * 1.70 * 38.38 * * * * * * * * 62.480* 13.88 109.710* 29.55* * 458.110 77 .050 86.850 375.200 42.200 648.950 368.950 90.450 31.330 25.270 136.970 19.410 16.400 * * * 66.55 8.89 24.06 8.90 2.14 4.41 12.83 2.50 3.45 61.10 11.99 16.07 5.75 3.00 2.49 91.75 17.11 44.22 49.45 9.35 12.38 9.68 2.89 4.89 3.05 1.57 2.15 3.80 2.32 0.80 17.30 4.14 6.14 2.60 0.33 1.89 3.00 1.34 0.65 Sal Temp 11.0 5.0 0.5 5.0 0.5 0.5 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.2 0.0 2.2 0.2 1.4 0.1 3.5 0.8 1.3 0.2 12.2 0.0 6.5 0.8 5.7 0.2 2.6 0.2 1.5 0.2 0.0 0.2 0.1 0.0 0.0 0.0 0.0 0.0 0.4 0.0 7.0 0.0 0.0 0.0 0.0 1.0 1.0 2.5 2.5 4.5 3.5 4.5 4.0 5.0 5.0 7.5 6.5 7.0 7.5 11.0 11.0 14.5 14.5 14.5 14.5 16.5 17.0 19.0 15.0 10.0 10.5 13.0 13.0 14.0 12.0 11.0 9.5 9.0 9.0 8.5 5.5 2.0 2.0 _) .,' Appendix El Zooplankton abundances Table Bl al Fallin STATION ETEOLARV NERElARV MARAwIRE MARAEGGS MARATROC BIVAlARV Fll.1ZHS F18.1Zl-tN F18.1ZL~ F12.01HS F12.01l5 F19.01HN F19.01LN FZ7.0U"5 F27.01L5 F03.021'ofN F03.02L~ Fll.0JH5 Fll.03LS FI7.0.3HN FI7.03L~ FZ6.03HS F26.03LS F02.04HN F02.04L~ F10.05HS FI0.05LS F17.051'1N F17.05lN F24.051-1S F24.05lS F31.05HN F31.05lN F08.0nofS F26.08t'!S F06.09HS F06.09l5 F13.09HN F13.09lN F20.09LS F27.09HN F27.09L~ F03.11HS FOJ.lllS F09.11HN F09.11lN F16.11lS F2J.12HN F23.12LN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 104 2· 0 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 141 4 142 2 321 0 0 0 0 0 0 0 17 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 lZ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Table Bl b. Fallin STATION LITTCAPS LITTVELI CIRRNAUP CIRRCYPR TEREL.ARV POLYCILI ·Fll.12HS F18.121-1N F18.12L.N F12.01t~S FI2.OILS F19.01HN F19.01LN F27.01HS F27.01LS F03.02HN F03.02LN Fll.031-1S Fll.03LS F17.03HN F17.03LN F26.03HS F26.03LS F02.04HN F02.014LN FIO.05~S FIO.05LS F17.051-1N F17.05LN F24.0SHS F24.05LS F31.0SHN F31.0SLN F08.071-1S F26.08HS F06.0qI-lS F06.0QLS F13.0QI-lN F13.09LN F20.09LS F27.09HN F27.0QLN F03.11HS F03.1ILS F09.111-1N F09.1ILN FU,.11LS F23.121-1N F23.12LN 0 0 0 0 0 0 0 0 0 58 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 27 0 2 0 5 '0 0 1 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 . 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 4 0 2 0 2 4 0 0 o . 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Table Bl c. Fallin PSEUELON TEMOLONG CEt-4THAMACALAHELG SAGIELEG 011<00101 STATION , Fll.12HS F18.12HN F18.12LN F12.01HS F12.01LS Flq.01MN Flq.01LN F27.01HS F27.01lS F03.02HN FOl.02lN Flt.03MS Fll.03lS F17.03HN F17.G3l~ F26.03HS F26.03lS F02.04HN F02.04LN FI0,05HS F1O,05lS F17.05HN F17.05LN F24.05HS F24.05LS F31.05HN F31.05LN F08,07MS FZ6,08HS F06.0qHS F06,OqLS fll,OqH~ FI3,OQlN FZO.OQlS F27.0QHN F27,OqU~ F03.1lHS FOl.IIlS FOQ,l1HN FOQ.l1lN F16.11lS F2l.12HN F2l.1ZlN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Z 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 . '0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 38 0 0 0 0 Table Bl d. Fallin .. • - _._ • - 0 •• - • STATION ACARINER ACARTONS ACARlONG ACARCLAU ACARCOPE OITHSIMI Fll.12MS Fle.tzHN F18.12lN F12.01HS F12.01lS F19.01HN F19.01lN F27.01MS F27.01lS F03.02HN F03.02lN Fl1.0lMS Fll.0llS F17.Q.lMN F17.0llN F2b.OlMS F2b.OllS F02.04HN F02.04lN Fl0.0SH5 Fl0.0SlS F17.05HN F17.05lN F24.05H5 F24,OSl5 Flt.05MN Fll,05lN Foe,07HS F2b.OBMS FOb.09HS FOb,09lS F13.09HN Fll.09lN F20.09lS F27.09HN F27.09l~ F03.11HS F03.lllS F09.IIHN F09.1IlN FU,.lllS F23.121'fN F23,12lN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 '0 0 0 0 0 '0 0 0 0 ,0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 o . 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ·0 24 0 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 B 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 o . 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 o· 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 4 0 0 0 0 0 0 0 0 ·0 0 0 0 0 0 0 0 Table ai £1 Fallin STATION EAFFAOUL EAFFCOPE EAFFJUVE HARP SPEC ROTISPEC COPENAUP Fll.12"'S FI8.12t-N F18.12LN F12.01"S F12.01LS F19.01"'N F19.01LN F27.01HS F27.01LS F03.02MN F03.02lN Fll.03HS Fll.03lS F17.03 ..N F17.03lN F2&.03HS F2b.03lS F02.04MN F02.04LN F10.05HS Fl0.05LS F17.05HN F17.05LN F24.05HS F24.05LS F31.05HN F31.0SLN F08.07~S F20.08HS F06.09HS F06.09LS F13.09t'!N F13.09LN F20.09LS F27.09HN F27.09LN F03.11HS F03.11lS F09.11HN F09.11lN F16.11lS F23.12t-1N F23.12LN 770 328 8 552 0 0 10 09 0 35 8 11 0 4 2 1450 24 1348 38 14927 309 30139 38540 14521 128 3168 81275 9818 2 32 3771 245 51 597 22 44 8 113 0 lb3 0 25 0 43 15 &173 74 2538 28 36214 109 22750 20b36 98390 262 53950 70317 4573 0 5 0 0 7 2 0 0 26 2 136 12 39 2 84 28 0 0 0 19 68 25 0 4 0 18 0 o . 159740 57 14487 126b33 437 530 53 10117 0 232 6144 92 78 12 4 0 528 18 23 32 34 71 19582 209 20392 12 883&2 475 39&30 712 153120 5108 193621 309b8 11565 4 . 34 6 8 600 298 05 1179 177 25 41 17 17 5 11 11 0 41 69 16 2 298 17 32 2 92 6 0 22 14 0 7 17 21 13 0 8 0 9 4 18 29 0 4 14 277 31 56 18 2 90 12 0 56 19 6 4 43 15 7 . 6 0 1044 105 IOb47 109 57 30 39 87 0 14 10 4 2192 77 0 0 82560 0 91 0 .59 0 0 0 0 0 0 37 0 0 0 0 0 43 30 96 48 0 29 112 9 0 0 1232 0 0 369 0 0 0 0 9 oJ 0 8 10 20 11 7 9 28 0 32 39 7 166 25 64 66 46 15 - 0 0 4 0 Table B2 &.South Alloa .. -. - '.- -. - - ___ ._ _ __ _ ... __ _ •• •• 4 _. • STATION ETEOLARV NERELARV MARAWIRE MARAEGGS MARATROC'BIVALARV SII.12~S S18.12tiN S18.12lN S 12.0 HIS S12.01LS S19.01tiN S19.01lN S21.01~S ~27.0IlS S03.0ZHN S03.02lN Slt.03HS Slt.03lS S17.03HN SI7.0~lN SZb.OltiS SZb.03lS S02.04tiN S02.04lN SIO.OS"'S SIO.05lS S17.05HN S17.05lN S24.0SHS SZ4.05LS S31.05HN S31.05lN S08.07HS S2b.OeHS SOb.09HS SOb.09LS S13.09HN S13.09LN S20.09HS S20.09LS S27.09HN SZ7.09lN S03.11MS SOl.IILS S09.1IHN S09.11L~ Slb.l1t-tS Slb.tllS S23.l1HN S23.11LN S15.12HS SIS.l2lS S23.12HN S2l.12lN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 27 b 0 0 4 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1436 9 574 13 3t45 t6 57055 83 0 0 0 0 0 0 0 0 0 0 0 700 2 0 0 390 5 0 0 0 0 0 0 0 0 0 0 0 0 0 150 0 0 0 440 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 12 0 0 0 0 0 0 0 0 0 0 0 0 2 0 . 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .. .- -. Table B2 bl South Alloa STATION LITTCAPS LITTVELI CIRRNAUP CIRRCYPR TERELARV POLYCILI SII.12HS SI8.12t1N S18.12LN S12.01tiS S12.01LS S19.01HN S19.01LN S27.01HS S27.01LS S03.02HN S03.02LN S11.03t-1S Sl1.03LS S17.03HN SI7.0_3LN S2.6.0lHS S26.03LS S02.04HN S02.04LN SI0.0SHS SI0.0SLS S17.0St-lN S17.0SLN S24.0SMS S24.0SLS S31.0SHN S31.0SLN S08.07HS S26.08HS S06.09HS S06.09LS S13.09HN S13.09LN S20.09HS S20.09lS S27.09HN S27.09lN S03.11HS S03.tllS S09.tlHN S09.11lN S16.11HS S16.11lS S23.11HN S23.11lN S15.12HS SlS.12lS S23.12HN S23.12LN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 4 0 0 0 0 0 0 0 2S 0 6 0 2 7 0 0 0 0 0 7 0 8 0 2 0 0 2 2 0 0 4 8 0 0 6 8 0 16 0 0 0 0 0 0 0 0 27 18 7 0 0 25 0 0 0 0 0 0 0 " 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 11 0 '4 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 0 0 ,0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 \1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 "0 2 0 0 0 0 0 0 0 2 0 0 0 0 0 S 10 0 0 0 0 0 0 0 22 0 0 0 9 0 0 0 0 0 0 0 0 0 4 2 0 0 0 8 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 21 2 3& 0 113 86 12 0 9 5 34 0 9 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 Table B2 C I South Alloa ... - ..... - ~ ._ .... .-..... - - ,_ ~....... - ... - . .. ~ STATION PSEUELON TE""OlONG CENTHAMA CAlAHElG SAGIElEG 011<00101 Sl1.12t-1S SI8.1ZI1N SI8.IZLN S12.01HS SIZ.0IlS S19.01t'lN S19.01lN S27.01t-1S S27.01lS SOJ.02I1N SOJ.OZlN Sl1.0JHS SII.0llS S17.03HN S17.0llN SZb.03HS SZb.03lS S02.04HN S02.04LN S10.0S115 SIO.OSlS 517.0511N S17.05LN S24.05HS S24.0SlS S31.05HN S31.05lN S08.07t~S SZb.08t-1S SOb.09t-1S SOb.09lS S13.09HN S13.09LN S20.09HS S20.09lS S27.0911N SZ7.09LN S03.11~S SOl.l1lS S09.11~N S09.11lN SI6.11HS SI6.11LS SZ3.11HN SZ3.11lN SIS.12MS S15.12lS S23.12t4N S23.1ZLN 0 0 0 .0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 0 0 2 II 0 0 0 0 0 0 0 b 8 0 0 0 25 0 4 0 0 0 0 0 30 0 0 0 0 17 0 0 0 100 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 O' 0 0 0 0 0 0 0 0 .0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 O' 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0; 0 , Table B2 d. South AlIos. OITHSIMI STATION ACARINER ACARTONS ACARLONG ACARCLAU ACARCOPE 13 0 0 0 0 0 S11,12HS 30 0 0 0 0 0 S18,12HN 0 0 0 0 0 0 S18,12LN 0 0 0 0 0 0 S12.01HS 0 0 0 0 0 0 SI2,OlLS 4 0 0 0 0 0 S1Q,OIHN 0 0 0 0 0 0 SlQ.OILN 0 0 0 0 0 4 S27.01MS 0 0 0 0 0 0 S27.01lS 0 0 0 0 0 0 S03,02HN 0 0 0 0 0 0 S03,02lN 4 2 0 0 0 0 S11,03MS 0 0 0 0 0 0 Slt.03lS 4 2 0 0 0 2 SI7,03HN 0 0 0 0 0 0 S17.03LN 0 0 0 0 0 0 S2b.03HS 0 0 0 0 0 0 S2b.03LS 2 0 0 0 0 2 S02,04HN 0 0 0 0 0 0 S02,04LN 4 2 0 0 0 0 SlO,05~S 0 0 0 0 0 0 S10,OSLS 0 0 0 0 0 0 S17,OSMN 0 0 0 0 0 0 S17,OSLN 6 82 0 43 0 8 S24.05t-tS 0 0 0 0 0 0 S24,OSLS 0 0 0 6 0 0 S]1.05HN 0 0 0 0 0 0 S3t.OSLN S 2q . b8 0 0 0 SOe,07HS 0 12 0 0 41 0 S2b,06HS 0 45 0 0 llb 0 SOb,OqHS 0 0 0 0 0 0 SOb,OqlS 2 11 0 0 11 0 S13,OQHN 0 0 0 0 5 0 S13.0qlN 0 bO 2 0 eb 0 S20.0QHS 0 5 0 0 0 0 S20.0QLS 0 0 0 0 0 0 S27.0QHN 0 0 0 0 0 0 S27,OQLN 0 8 0 0 0 0 S03.11HS 0 0 0 0 0 0 S03,IILS 0 0 0 0 0 0 SOQ.IIHN 0 0 0 o . 0 0 SOQ,11LN 0 2 0 0 0 0 Slb,11MS 0 0 0 0 0 0 Slb,IILS 0 2 0 0 0 0 S23,IIHN 0 0 0 0 0 0 S23.11LN 0 0 0 0 0 0 SIS.12MS 0 0 0 0 0 0 SIS,12LS 4 0 0 0 0 S23,12MN 0 0 0 0 0 0 S23.12LN " I Table B2 ea South Alloa STATION NEOMINTE OIAPGRAC DAPH5PEC BOSMSPEC CHYDSPEC CYCLSPEC SII.12MS S18.12tiN S18.12LN 512.011'''5 S12.01LS 519.0ltm S19.01LN S27.01HS S27.01LS S03.02HN S03.02LN SI1.0lHS Stt.03LS 517.0lHN 517.0·3LN S26.03HS 52b.03LS S02.04HN S02.04lN S10.05H5 . S10.0SLS . S17.05MN SI7.0SLN S24.05HS 52".05LS 5l1.05HN Slt.05LN S08.07H5 526.08H3 S06.09H5 S06.09LS S13.09HN S13.09LN S20.09t-1S 520.09L3 S27.09HN S27.09LN S03.11t-15 S03.IILS S09.11HN S09.IILN S16.11HS Slb.IILS S23.11t-4N S23.11LN S15.12H3 S15.12LS S23.12HN S23.12LN 0 0 0 0 0 12 12 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 10 0 0 0 0 " 0 0 0 0 883 2 5 0 9 0 "0 11 0 14 0 0 0 0 0 0 0 0 0 8 12 4 12 53 ' 35 15 9 27 2 11 22 17 0 0 0 2 0 0 0 0 0 0 0 0 " 0 0 215 2 0 0 0 2 0 0 0 0 6 0 Z 0 0 0 0 0 2 13 4 0 0 0 0 0 0 0 0 0 35 29 41 27 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 7 0 2 5 0 0 0 0 0 0 0 0 0 2 12 0 0 3 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16 0 50 0 0 0 0 0 0 0 21 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 b 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 53 0 0 . 0 10 0 0 Z 2 0 0 0 2 0 0 0 0 0 0 0 0 0 10 0 9 0 0 0 0 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 1 Table 132fa South Alloa STATION E.FFAOUl EAFFCQPE E.FFJUVE HARPSPEC ROTISPEC COPENAUP Sll.12HS SI8.12t-1N S18.12lN S12.01HS S12.01lS S19.01HN S19.01lN S27.01HS S27.01lS S03.02t-1N S03.02lN S11.03MS S11.03lS S17.03MN S17.03lN S2b.OlMS S2b.OllS S02.04MN S02.04lN SIO.OSHS S10.0slS S17.05HN S17.05lN S24.05HS S24.05lS S31.05HN S31.05lN S08.07HS S2b.08HS SOb.09HS S06.09lS S13.09HN S13.09lN S20.09HS S20.09lS S27.09HN S27.09l~ S03.11HS S03.lllS S09.11HN S09.11l~ Slb.l1HS Slb.l1lS S23.11HN S23.11lN SIS.t2HS S1S.t2lS S23.12HN S23.12lN 3428 758 92 141 53 78 lb 382 15 191 254 178 Ib 91 53 150 20654 307 495 121 2540 1971 7228 7913 2739 3209 15895 770 17 57 6 15 l5 129 0 0 19 382 8 84 4 348 lb5 166 269 71 1183 306 17 3298 3674 365 1005 48 362 0 1552 22 3010 27 55& 27 125& 124 1&94 18702 3348 600 7333 4043 34852 1491 33999 28759 40168 19824 15215 7 9b 50 9 0 285 14 b3 5 1782 8 183 12 1781 30 458 4 411 115 986 b 2143 523 416 13371 1296 1785 74 2244 224 10944 318 3242 8 2205 286 l141 15180 10449 5775 10229 12025 265&4 7889 7476 64782 28909 34670 29364 0 . 46 9 104 0 1128 114 270 ' 14 1132 20 415 15 4950 bb 2575 8 1059 2b9 914 24 118 790 4 833 b29 50 45 47 22 95 41 554 43 13 31 3& 45 51 182 21 132 b 1154 78 115 18 47 23 20 0 68 7 0 23 53 7 5 8 71 0 137 82 88 0 2 183 854 12 0 13550 338495 241 94102 37212 23662 107 52435 8952 341250 4545 1415 32 21 114 47 0 94 224 73 0 ll85 0 19217 2304 5685 0 8370 0 37 62 42 25 144 19 12 14 53 30 567 21 13439 &2 2016 32 6449 228 7510 58 0 0 0 0 0 0 0 0 0 0 0 502 27 87 164 293 0 539 0 1587 56 1774 430 739 1086 0 0 81b3 131 572 13b 721 16 1822 110 80 9 31 30 21 38 10 19 60 0 10 142 14 b Table B.3 al Durutore STATION ETEOLARY NERELARY MARAWIRE MARAEGGS MARATROC BIYALARY 011.12HS 018.12~N 018.12l.N 012.01HS 012.01LS 019,01HN 019,01l.N 027. 01t~S 027~01LS 003.02HN 003,02LN 011.03HS 011.03LS 017.03HN 017.0·3LN 026.031'15 026.03LS 002.04HN 002.04L~ 010.051'15 010.05L5 017.05HN 017,O5l.~ 024.051'15 024.05lS 031.0SHN 031.05lN 008,071'15 026.081'15 006,091'15 006.09LS 013.09HN 013,09lN 020.091'15 020.09l5 027.09HN 027.09LN 003.111'15 003,11lS 009.11HN 009.11lN 016.111'15 016.11lS 023.11HN 023.11lN 015.121'15 015.12l5 023.12HN 023.12l.N ; 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 3706 0 0 0 0 0 0 0 225 5653 973 16022 2258 0 1060 350 0 b8 0 0 0 0 0 9 9 0 0 0 0 0 0 0 0 1120 73 0 0 0 2bl 0 0 la 43 6 30 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 860 117 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Q20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 0 0 0 0 0 3383 78 0 0 4 0 0 27 12 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Table BJ ba Dunmore STATION LITTCAP5 LITTVELI CIRRNAUP CIRRCYPR TERELARV POLYCILI Dll.12~S DI8.12~N D18.12lN OI2.01~S D12.01lS O19.01MN D19.01lN 027. 01t~S 027.01lS 003.02MN 003.02U04 011.03MS 011.03lS 017.03HN C17.03lN 026.03MS 026.03LS 002.0"MN 002.04lN 010.05,;S 010.05lS D17.05HN 017.05LN 024.05HS D24.05LS 031.05MN 031.05LN 008.07MS 02b.08';5 00b.09';S 006.09LS 013.0QHN O13.09LN 020.09MS 020.09L5 D27.09HN 027.09LN 003.11MS D03.lllS 009.11';N D09.11LN Olo.I1HS Olb.llLS D23.11HN 023.11lN 015.12"'S C15.12LS 023.12HN D23.12LN 0 4 0 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 50 7 2 0 0 2 0 8 0 0 2 2 0 2 0 0 4 0 22 0 0 0 4: 0 0 0 " 0 0 4 0 2 2 0 0 237 0 14 0 0 0 0 0 0 0 0 0 a 0 199 0 12 0 0 0 0 0 0 0 0 0 0 0 38 0 0 0 0 0 0 0 125 2 55 2 295 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 0 4 0 0 0 0 0 0 0 011 0 14 0 b 00 0 0 20 0 700 20 125 0 0 0 0 0 0 2 0 0 0 0 0 0 1.1 0 5 0 0 8 4 23 18 . 2 0 2 0 0 0 19 1.13 0 0 3 0 2 0 31 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 75 0 0 0 0 0 0 "00 0 7 4 22 0 0 0 0 0 0 0 0 0 0 0 0 0 52 0 0 0 0 0 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 "2"0 0 0 0 0 0 0 0 0 0 0 30 24 0 0 0 0 0 0 0 0 0 0 0 '0 0 0 Table BJ c. Dumlore STATION PSEUELON TEMOLONG CENTHAMA CALAMELG SAGIELEG OIt<OOIOI 011.12HS Ole.12M~ 018.l2LN O12.01MS 012.01lS 019.01HN 019.01lN 027.01HS D27.01lS D03.02HN 003.02lN OII.OlHS OI1.03lS D17.03MN D17.o.3lN D2b.03HS D2b.OllS 002.04HN 002.04LN 010.0SHS OIO.OSlS 017.05H~ 017.05lN 024.05HS 024.0SLS D31.05MN OJ1.0SlN D08.07HS OZ,b.OSHS 006.09MS 006.09LS 013.09HN O13.09lN Oz'O.09HS OZ,O.09LS 027.09HN 027.09LN DOl.llMS D03.1IlS 009.IIMN 009.11lN Dlb.llMS Olb.lllS Oz'3.1IHN D23.11LN D1S.1Z,MS D1S.t2lS Dz'3.t2HN D23.12lN 144 48 33 0 0 0 0 0 0 0 2b 0 0 0 0 0 0 0 0 0 0 0 0 0 0 " 0 0 4 170 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 b 0 0 0 0 2 2 0 .0 223 0 163 0 0 317 0 16 0 0 0 0 0 0 4 174 0 b 178 0 10 0 0 0 27 0 2. 0 2 4 0 "00 0 22b 0 0 0 0 0 0 81 . 0 0 0 0 0 <7 0 0 0 6 0 45 q 0 0 Z 34 0 0 0 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 ,4 0 0 0 2 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2. 2 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 13 0 0 0 0 0 0 0 0 0 2. 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10 5 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Table B3 dl Dunmore STATION ACARINER ACARTONS ACARLONG ACARCLAU ACARCOPE OITHSIMI Dl1.12HS C18.12~N 018.12LN OI2.01~S OI2.0ILS OI9.01~N O19.01lN D27.01~S 027.01LS 003.02~N 003.02lN Dll.0l~S Oll.OllS 017.0l~N O17.0lLN 02b.03MS 02b.OllS 002.04t'fN 002.04lN 010.0S"'S 010.0SLS OI7.0S~~ OI7.0SLN 024.0S"'S 024.05LS Oll.OSI-IN D31.05LN D08.071-1S 026.08"'5 006.091-1S OOb.09lS 013.09"'N 013.09lN 020.09H5 020.09LS 027.091-1N 027.09L~ 003.11HS D03.IIlS 009.11HN 009.11lN Olb.llr1S Dll>.l1lS 023.11HN c23.l1lN cIS.1ZHS cIS.12lS 023.12t-tN 023.12lN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 4 0 2 0 30 0 95 0 4 0 "0 0 0 0 0 0 0 0 0 8 0 0 ·0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 19 207 18 Ib 11 542 31 0 0 17 0 0 0 0 0 0 4 0 0 0 0 0 0 0 2 0 41 0 665 0 0 0 . 0 0 0 3 81 0 12 0 0 0 3 0 9 0 0 ·0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 27 0 0 0 0 0 0 0 0 20 0 0 "00 0 0 0 "0 0 0 0 0 9 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0 0 " 2 0 0 0 2 0 0 0 0 0 0 0 0 0 22 0 4 0 0 0 0 186 0 10 0 0 0 0 108 0 456 0 2 0 0 24 197 12 99 0 1962 17 0 0 9 0 0 0 88 0 0 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 4 0 0 0 0 137 75 0 31 0 198 0 7 0 5 0 31 0 0 0 47 0 15 2 62 Z 0 0 I> 8 98 0 0 10 0 Table B3 e I DunIlore STATION NEOf-lINTEOIAPGRAC OAPHSPEC BOSMSPEC CHYOSPEC CYCLSPEC Ott.12MS 018.12tofN 018.12LN O12.0ltofS D12.01LS O19.0ltm D19.01LN 027.01tofS 027.01LS D03.02MN D03.02lN Oll.03HS Dll.q.3LS O17.03MN 017.03LN C2b.a3MS 02b.03LS 002.04MN C02.04LN CIO.05~S C1O.05lS 017.05HN D17.05LN 024.05HS OZ4.0SLS C31.05HN 031.05LN 008,07HS D2b,08HS 006,09HS DOb.09LS D13.09MN 013.09lN 020.091'15 020.09l5 OZ7.09HN 027.09LN C03.UMS 003.11lS OOq.llHN Da9.11LN Olb.llHS Olb.llLS 023.11tofN 023.11LN C15.12H5 OIS.t2lS 023.12HN 023.12LN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 0 0 0 4 0 0 4 0 17 0 0 a 2 4 a 0 0 0 0 0 0 0 0 0 4 0 2 0 0 0 0 0 0 0 4 53 0 141 0 22 0 16 0 0 0 0 0 0 0 0 159 0 27 0 7 0 0 0 0 0 0 0 a a a a 0 a a a a 0 a 0 .a 0 0 0 0 0 0 0 0 0 0 0 0 0 0 a 0 0 0 0 0 0 0 0 0 0 a a 0 2 4 324 0 0 0 0 0 0 0 0 a 0 0 0 0 0 0 0 0 0 0 b 0 4 22 12 0 0 0 0 0 a 0 0 0 0 0 0 0 a 0 0 2 0 0 a 2 0 0 0 0 0 0 0 0 0 a 0 0 0 0 30 0 a 2 a 0 0 34 0 0 0 a 0 0 a a 0 0 a a 2 2 8 4 0 ·24 16. 44 a 4 0 a 0 a a 0 0 0 0 0 a a 0 0 0 0 0 0 0 a 2 a 0 a a 0 0 0 0 "a 58 a 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 a a a 4 0 a 0 0 Table B3 fa Dunmore STATION EAFFAOUL EAFFCQPE EAFFJUVE HARp SPEC ROTISPEC COPENAUP Cll.12~S DI8.12~N D16.12lN C12.01HS D12.01lS D19.01~~ O19.01LN 027.01HS D27.01LS D03.02HN D03.02lN 011.0·3HS Dll.03lS D17.03HN D17.03lN 026.03HS D26.03LS 002,04~N 002.04lN OI0.05HS 010,05lS 017.0SI'lN D17.05lN 024.05HS D24.0SlS D31.05HN D31.0SLN D08.07HS 026.08HS C06.09HS C06.09lS C13.091'1N D13.09lN 020.09HS C20,09lS 027.09HN 027.09LN 003.11HS D03.IIlS C09.11HN D09.11LN O16.11HS D16.11LS 023.11HN D23.11LN CI5.12t1S C15.12LS C23.12HN C23.12LN 4b 2b 0 358 159 20 57 4 17 23 850 77 194 2 858 42 194 308 495 522 12 b 5184· 1739 3152 205 5812 77 0 0 15 0 7 4 26 2 5 202 0 178 21 235 189 240 12 154 253 120 155 209 879 38 408 612 584 32 89 50 176 165 773 230 1248 2585 194 2134 5634 16538 6292 158 25990 21560 7521 33673 2780 52830 362 0 0 6 9 27 14 48 6 137 783 4 6405 379 2119 910 762 46 812 456 772 64 980 1804 223 1209 5784 403 168 678 1107 200 S36 1766 1367 414 2665 1015 8686 6314 162762 2066 187 17628 232 1738 84564 3476 3b420 SIS . 0 0 27 30 278 0 284 13 235 71 50 406 3577 92 8985 344 30 30 1407 578 183 183 293 204 496 1511 28 37 26 75 13 22 25 336 8 73 220 119 68 4981 b8 2127 69 1695 18 11382 500 0 143 0 9 15 34 653 0 2 2 17 36 0 6 66 115 4938 82 142 20 88 21 145 379 10b74 5269 74867 48180 1145 752 47019 12912 47881 49522 130 96 0 0 52144 309 204 2921 68 0 63 0 783 11956 12 2572 0 0 0 0 0 0 0 50 0 7 45 0 182 3062 111 7157 64 1597 2245 438 0 0 589 111 0 0 0 0 0 0 1484 427 46 491 7336 648 1393 2022 354 22 717 0 1500 0 741 0 180 342 1023 68 1354 162 1657 391 9 ~O 81 0 208 471 376 4254 10 5b 261 10490 6 4034 32 105 153 Table B4 al kincardine STATION ETEOLARV NERELARV MARA~iIRE MARAEGG5 MARATROC BIVALARV Kl1.12HS K18.1211N K18.12LN K12.0111S K12.01LS K19.01HN K19.01LN 1<27.01t~S K27.01LS KOl.O.2H~ K03.02LN Kl1.03HS Kl1.03LS KI7.03H~ K17.03LN K26.0311S 1<26.03LS K02.0411N K02.04LN Kl0.05HS KI0.05LS K17.05HN K17.05LN K24.0SHS K24.05LS K31.0SHN K31.05LN K08.07HS K26.08H5 K06.09HS K13.09HN K13.09LN K20.09LS K27.09HN K27.09LN K03.11HS K09.11HN K09.l1LN KI6.11I1S K16.l1LS K23.11HN K23.11LN 1<15.12HS K15.12LS K23.1211N K23.12LN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 6 0 0 0 250 0 0 36 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .0 0 0 0 0 0 0 0 0 14 0 q48 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 2379 502 15 0 1219 903 3 l 0 14 181 0 0 0 0 0 0 0 0 0 0 32 4 0 0 0 0 0 4063 l 0 361 0 26 0 0 0 0 0 0 0 0 0 0 18 0 0 0 0 5 0 9 0 26 0 0 0 20 2 0 0 0 t0604 4414 35806 198 3535 1929 t08 119 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 59 0 b8 b 16 2 248 14 0 0 "3 0 0 0 0 '0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Table B4 b, Kincardine STATION LITTCAPS LITTVELI CIRRNAUP CIRRCYPR TERELARV POLYCILI Kll.12HS K18.12HN K18.12LN K12.01HS K12.01LS K19.01HN K19.01LN K27.01~S K27.01LS K03.Q-2HN K03.02LN Kl1.03HS Kll.03LS K17.03~N K17.03LN K26.03~S 1<26.03LS t<02.04~N Ka2.04LN Kla.OSHS Kl0.05LS 1<17.0S~N K17.05LN K24.0S~S K24.05LS K31.05HN 1<31.05LN 1<08.07~5 K26.08H5 K06.09~S K13.09HN K13.09LN K20.09LS K27.09HN 1<27.09LN K03.11t-1S K09.11HN K09.11LN K16.11HS K16.11LS K23.11t-lN K23.11LN K15.12HS K1S.12LS K23.12HN K23.12LN 0 0 0 a 4 0 0 a 0 0 0 0 0 0 4 5 6 4 2 10 0 0 2 0 o· 2 0 14 0 0 0 0 0 0 0 a 0 0 a 0 0 0 0 0 a 0 0 0 0 a 0 0 a a 0 0 0 0 a a a a 0 a a a 0 22 0 0 2 38 78 " a 0 0 32 26 22 40 27 0 4 9 0 54 5 34 a 38 31 113 11 47 16 406 3 104 8 695 . 2 16 0 3bb 127 1502 630 0 0 0 2 0 57 26 31 17 6 6 0 0 0 a a 0 0 0 a 0 4 0 18 0 0 0 0 0 0 a 0 0 0 0 2100 0 13 0 a a a 0 0 a 0 0 0 0 a a 0 a a a a 0 a . 34 0 10 4 60 0 20 a a a 0 0 a 4 0 32 34 16 0 2b .147 16 0 141 29 7 2 0 0 0 0 4b 0 0 0 0 0 0 0 a 0 a 199 0 4887 48 615 107 14480 189 61 0 1556 20 3 0 12 0 9 11 a a 8 8 8 0 0 0 0 0 a a 0 2 7 15 11 0 0 0 0 7 2 0 a 0 0 a 0 0 0 a 0 0 a 0 0 0 0 0 0 0 2 0 0 0 0 a 2 0 Table B4 c I Kincardine Kl1.121-13 K18.1ZHN K18.1ZL~ KI2.011-13 K12.01LS K19.011-lN K19.01LN K27. 0 1t~3. K27.01LS KOJ.02MN K03.02U~ Kll.03MS KII.03LS K17.03HN KI7.03Lt-4 K26.0311S K26.03L3 K02.04HN K02.04LN KIO.05HS Kl0.05L3 K17.05HN K17.05LN K24.05H3 K24.05LS K31.05HN K31.05LN 1<08.071-13 1<26.08t-43 K06.091-15 1<13.09t-4N K13.09LN 1<20,09LS K27.09HN 1<27.09LN K03.11113 K09.11HN K09,11LN K1I>.IIH5 '<l6,lllS K23.11HN K23,11l~ KI5,lZHS 1<15.12LS K23.121-1N K23.12LN CALAHELG TEMOLONG CENTHAMA STATION PSEUELON 0 0 0 4 0 0 0 0 0 0 14 "0 0 0 5 0 0 0 0 0 0 0 0 0 172 25 1& 2 0 218 2 2 0 42 0 12 0 10 32 22 0 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 47 4 2 0 0 0 2 0 0 4 0 1" 0 6 0 6 0 0 0 0 0 0 54 e 0 0 0 53 0 16 0 0 18 136 0 0 0 0 53 0 0 0 0 0 0 2 0 2 0 4 . 40 6 32 b5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 o . 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 65 2 0 0 0 o . 2 0 10 0 2 0 2 0 011<00101 0 0 0 0 0 0 0 0 0 lJ 48 SAGIELEG 5790 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 277 0 0 0 0 0 0 0 17 0 0 0 .0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 Table B4 d I Kincardine STATION ACARINER ACARTONS ACARLONG ACARCLAU ACARCOPE OITHSIMI Kll.t2t-4S K18.t21-1N K18.12LN K12.0ltofS K12.01LS K19.0ltiN K19.01LN 1(27.01t~S 1<27.0.1 LS K03.02HN K03.02LN K11.03HS Kll.03LS K17.03HN K17.03L~ K26.03HS K26.03LS K02.04HN K02.04LN K10.05HS K10.05LS K17.05H~ K17.05LN K2'1.05to1S K2'1.05LS K31.05HN K31.05LN K08.07HS K26.08HS K06.09HS K13.09HN Kll.09LN K20.09LS K27.09H~ K27.09LN K03.11HS K09.1IHN K09.IILN K16.11HS K16.11LS K23.11HN K23.11LN t<IS.12HS K1S.12LS K23.12HN K23.12LN 0 0 0 0 e 0 0 4 0 31 0 0 0 404 189 0 18 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 8 0 0 163 4 226 0 135 0 0 0 0 0 0 0 0 0 0 118 0 0 0 0 32 17 0 0 0 0 0 5 255 0 0 0 0 0 0 0 0 0 0 0 0 2'1 0 0 0 0 18 4 86 0 0 0 0 0 0 0 10 0 7 0 0 0 0 0 0 0 203 6 228 0 0 0 22 0 0 0 0 0 -0 0 93 0 0 0 0 26 0 0 0 0 0 39 0 0 0 0 0 0 0 0 0 0 0 0 0 40 28 . 0 7 10 0 7 104 0 O' ·0 0 48 0 0 0 0 0 0 2 0 0 31 4 'I 0 0 22 4 0 0 2 0 0 0 59 0 15 0 0 0 0 0 3 0 0 2 0 6 0 0 0 0 2 0 0 95 0 3173 24' 26b8 0 55 32 178 102 66 36 13 17 2 2 699 264 2 lSI 2 505 2 6 7 265 0 0 0 18 17 0 0 0 4 5 0 12 2 "00 0 2 0 0 0 0 0 0 16 '14 29 118 7 3 0 Z 0 410 2 II 121 6 256 18 41 7 38 l Table B4 el Kincardine STATION NEOMINTE Kll.121-1S 1<18.12HN 1<18.12lN 1<12.01HS K12.01lS t<19.01HN K19.01LN 1<27~OIHS K27.01LS KOl.02totN KOl.O.zl~ Kll.03~S Kll.OlLS 1<17.03totN K17.03L~ K2b.03totS K26.03lS I<02.04~N I<02.04LN KI0.05HS KIO.05lS K17.0StotN KI7.05Lt~ KZ4.05HS K2l4.05LS Kll.OS"'~ t\ll.0SLN K08.07t~S t<26.08HS K06.0q ... S Kll.09HN K13.09lN K20.0qLS K27.09totN K27.09lN K03.11 totS K09.11HN KOq.l1LN Klb.l1MS K16.11LS K2l.11totN t<2l.I1LN K15.12HS K15.12LS K23.12"'N KZ3.12LN OIAPGRAC DAPHSPEC 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 44 0 0 22 0 0 0 0 BOSMSPEC CHYOSPEC 0 0 CYCLSPEC 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 l4 0 0 0 0 0 0 0 0 0 0 0 2 6 1 0 9 0 0 0 0 8 0 b 0 0 0 0 0 0 0 0 0 0 0 0 0 b 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 . 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 . 0 0 0 '0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 ·0 0 0 0 0 0 0 2 0 0 0 94 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 o . 0 0 0 0 0 0 0 3 0 0 0 0 0 11 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 2 10 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0' 0 0 Table Elf. fa Kincardine STATION EAFFAOUL EAFFCOPE EAFFJUVE HARPSPEC ROTISPEC COPENAUP Kll.12HS K18.1211N K18.12LN K12.01115 K12.01LS K19.0111N K19.01LN K27.01HS K27.01LS K03.0_2MN K03.02LN 1<11.031'15 Kll.03LS K17.03HN K17.03LN K2b.03HS K26.03LS K02.041'1N K02.04LN Kl0.051'15 KI0.05L5 K17.05HN K17.05LN K24.05H5 K24.05LS K31.05HN K31.05LN K08.071'1S K26.081'1S 1<06.091'15 Kl].09I'1N K13.09LN K20.09L5 K27.091'1N K27.09L~ K03.11H5 K09.111'1N K09.11LN 1<16.111'15 K16.11LS K23.l1HN K2].11LN K15.121'15 K15.12L5 KZ3.12HN 1<23.12LN 0 13 17 13 119 0 12 0 0 0 0 9 32 2 122 14 126 Z 44 12 23 12 34 0 847 24 57 8 0 0 0 7 24 5 2 121 .0 73 8 8 100 00 349 7 63 756 0 49 176 b2 518 12 217 13 0 32 32 6b2 80 100 366 79 2112 20 58 126 877 34 167 347 10032 61 4223 34 4 0 2 7 146 0 9 1183 77 187 18 84 82 178 35 37 ZOb 876 45 189 404 443 1037 20 2b3 144 133 386 82 3482 204 401 21b 1828 2651 339 234 252 363 5256 1642 782 9043 823 3209 0 0 0 0 17 ·230 5 19 37 20 9 0 547 0 42 35 125 19 38 45 0 61 2bl 2897 78 56 13 22 18 23 0 82 31 26 0 50 0 200 135 2161 2 383 10 123 2 1106 92 78 316 19775 4376 80900 54] b4197 535 3444 30504 177133 2283 107 5b 109 609 0 99 0 0 56 94 3203 0 30782 0 0 0 8 0 5b 21 44 14 0 0 0 216 0 0 5 b2 0 9 34 201 14 10 2 676 6 200 0 0 8 51 0 829 " 4b 47 1853 27 137 3601 1708 2b3 1439 341 0 24 44 0 1412 41 12899 0 2227 334 3544 0 b79 454 555 62 12073 903 3652 0 2181 823 721 Sib 1502 567 544 3501 83 298 0 4775 77 1988 141 6820 20 200 235 3824 111 Table B5 STATION Skinnats NERElARV ETEOLARV Gl1.1211S G12.01H5 G19.01HN G27. 0 1I'~S G03.02tm Gl1.03115 G17.01HN G26.03115 G02.04t1N G 1O. Q.5I1S G24.05115 G31.0511N GOb.09HS G13.09HN G20.09"'S G03.11HS G09. tlHN GI6.11115 G21.11MN G15.12HS &1 0 MARAWIRE MARAEGG5 MARATROC 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 98bO 0 1231 0 0 0 15 0 4 8 621 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1la83 159277 730 0 0 0 0 0 0 0 0 0 319 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 eIVAlARV 0 0 20 0 0 0 0 0 7 29 0 82 0 0 0 0 0 0 0 0 Table BS b. Skinflate STATION LITTCAP5 Gll.12HS G12. 0 1I"IS G19.0um G27.01HS G03.02HN Gll.0311S G17.03HN G2b.03HS G02.04HN Gl0.QS~S G24.0SMS G31.05H~ GOb.09HS G13.09HN G20.09~S G03.111-15 G09.11I-1N G16.111-1S G23.ll~N G15.121-1S -; LITTVELI 0 0 0 0 0 0 4 0 0 O. 107 91 9 4 4 4 61 CIRRNAUP 78 16 0 17 0 104 9 274 9 bS 138 0 16 23 CIRRCYPR 0 0 0 0 0 TERELARV 0 0 0 0 0 POLYCILI 0 q 12 22 19 0 0 0 0 0 0 IS 0 0 2 54 2 0 0 3771 68 4837 0 9 20 4 49 0 2b .6 0 8 0 340 0 0 0 12 0 50 14 0 0 2 0 0 0 149 .0 0 2 0 0 0 11 4 0 0 0 0 0 0 0 0 0 0 3 2 0 0 0 0 6 0 0 0 0 0 0 Table B5 ea Skinflats STATION PSEUELON TEP-10LQNGCENTHAMA CALAHELG SAGIELEG OIKOOIOI GH.12HS GI2.0H"S G19.01HN G27.01HS G03.02HN Gll.03HS GI7.03t1N G26.03t-1S G02.04HN GI0.05HS G24.05HS G31.05HN G06.09HS G13.09HN G20.09HS GOl.llt1S G09.l1HN G16.11tiS G23.11HN G1S.12HS 99 31 0 0 0 210 2 88 la 0 83 0 2 2 26 121 1559 1692 74 241 6 Itl 0 0 0 0 0 0 0 0 4 0 4 0 160 2 7 0 0 0 0 0 0 0 11 0 0 0 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 67 6 10 8 8 2 2 0 0 0 8 0 0 0 65 0 473 20 65 0 0 140 29 13 0 0 0 0 0 13 143 78 5 0 0 21 6S 310 0 0 38 8 " 7 0 0 0 0 0 0 0 0 2 0 2 6 Table B,5d. Sklnflats STATION ACARINER ACARTONS ACARLONG ACARCLAU ACARCOPE OITH9IMI Gll.12HS GI2.0U'IS G19.0um G27.01H9 G03.02HN Gll.03H9 G17.03HN G26.03HS G02.04HN GI0.O-5HS G24.0SH9 G31.05HN G06.09HS G13.09HN G20.09HS G03.11HS G09.11HN GI6.11HS G23.11HN G15.1211S 20 8 0 96 0 0 201 102 11 6 1152 16 0 0 0 11 24 6 4 b 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 \) 0 0 0 0 12 41 460 34 51 0 "0 185 0 0 0 0 . 0 0 321 31 0 0 0 0 0 0 36 0 0 242 13 0 0 0 2 0 " 37 229 27 0 87 " 16 454 113 34 " 2391 0 54 243 302 S9 157 68 14 58 144 53 0 200 0 89 0 264 4 4 44 0 49 18 175 748 214 7b 0 7b Table B~ el Sldnfiats STATION Gll.12~S G12.01HS G19.01HN G27.0HiS G03.02HN Gl1.03HS G17.0ltiN G26.0lHS G02.0I&tiN Gl O. O.5HS G24.05HS G31.05HN G06.09MS G13.09HN G20.09MS G03.11HS G09.11HN G16.11HS G23.11HN G1S.12HS OAPHSPEC OIA~GRAC NEOMINTE 0 0 0 0 0 0 0 0 0 WO 0 0 0 BQSMSPEC 0 0 0 0 0 1& 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .0 ' 0 0 0 2 0 0 ·0 0 0 0 0 CYCLSPEC 0 0 0 0 0 0 0 0 0 0 CHYDSPEC 0 0 0 0 0 0 0 0 0 0 0 0 '0 0 0 0 0 0 0 0 0 0 -0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 Table BS f. Sldnflats STATION EAFFADUL EAFFCOPE EAfFJUVE HARPSPEC ROTISPEC COPENAUP Gll.12HS G12.01HS G19.01HN G27.01HS G03.02~N Gll.03~S G17.03HN G2b.03t1S G02.04HN GI0.05HS G24.0sHS G31.0SHN GOb.09I1S GI3.09~N G20.09t1S G03.l1HS G09.11 t1~ Glb.llt-tS G23.11HN G15.12"'S 27 44 0 13 0 187 4 25 11 15 201 21 0 2 2 14 0 1312 4b 60 85 278 4 b9 101 2007 0 13294 0 180 507 4110 2271 3b 40b3 4bOb 580 154 1239 12 5 0 10 911 50 ·2483 94 139 3b32 194 0 0 0 0 0 b741 338 227 4b 0 ~4s 1288 219b 72b 240 99 1349 859b 3502 '5517 1685 39910 0 b6 355 Ib3 b7 227950 811 1801 Ib28 4b9 bb73 18b4 971bO 5b75 1589 1712 5000 0 1834 0 1;?t;0 55b2 b292 35 1217 0 91 0 0 bOb7 3340 1457 2b09 0 cH9 1831 715 4045 92 17(1 10 0 33b 185 2(1b 33 0 53 Table B6 a. Culroes STATION CI1.03"'S C17.03HN C26.03HS C02.04HN CIO.OSHS CI7.0SHN C24.05HS C3t.OSHN C08.07MS C26.lt8HS C06.091-1S C13.09HN C20.09MS C27.09HN C03.l1HS COQ.tlI-fN CI6.11l-lS C23.11J04N C15.121-fS CZ3.12HN NERELARV ETEOLARV 0 0 0 0 MARA~IRE 876 1884 399 0 55 0 0 120 to 1 0 0 0 85 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 '4 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 BIVAL.ARV 0 0 0 0 0 fo'ARAEGGS MARAT~OC 0 0 0 0 0 0 . 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 Table B6b. CUlross STATION LITTCAPS LITTVELI CIRRNAUP CIRRCYPR TERELARV POLYCILI Cll.03MS C17.03MN C2b.03~S C02.04M~ CIO.OSHS C17.0SHN C24.0SMS C31,OSHN C08,07MS C26,(}8HS C06,09HS C13,09HN C20.09HS C21,09HN C03.11H5 COq.llHN C16.11HS C23.11~N C1S.12MS C23.12HN 1645 55 2'530 40 1083 23 4343 2349 27q 0 7 0 82 0 e 0 0 0 692 0 0 2 20 0 10 2S3 9 0 5 0 0 0 0 0 0 0 0 0 0 0 134 28 63 79 4860 967 196 0 0 0 2 0 0 0 0 0 0 192 31 4 0 0 8232 271 204 10 S9 477 e 2290 1652 976 399 2244 7 45 13 5 la 12 222 0 4 28 126 2 24 14 0 0 0 0 0 0 0 29 0 0 0 0 23 34 7 6 0 0 0 0 0 0 0 0 0 0 0 Q 0 b 0 2 Table B6 Cl Culross STATION PSEUELON TEMOLONG CENTHAMA CAlAHElG SAGIELEG OIKOOIOI Cll.03HS C17.03HN C26.0lHS C02.04HN CIO.05HS C17.05"'~ C24.051-!S C31.0SHN C08.07H5 C26.o.e·HS C06.0911S C13.09HN C20.09HS C27.091-1N C03.11HS C09.11HN C16.11MS C23.11"'N C15.12H5 C23.12HN 0 0 7 0 29 0 0 0 0 0 2 0 5 0 674 bb t03 10 2 2 23 2 6 0 44 0 4 2 0 0 2 2 0 0 56 4 6 2 0 0 2 0 0 0 35 0 0 2 2 0 .0 2 0 0 ·0 8 0 0 0 0 2 0 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 232 0 0 0 10 0 0 0 0 0 6 14 2 0 0 0 0 0 0 0 0 0 0 0 Table B6 dl Culross STATION ACARINER Cll.03HS C17.03HN C26.03t1S C02.04t1N Cl0.05t-4S CI7.0St-4N C24.05HS C31.05HN C08.07HS Ccb.08HS COb.0"9HS CI3.0Qt-4N CZO.I)9HS Cc7.09H~ C03.11HS C09.11HN C16.11t-4S C23.11HN C15.12HS C23.12HN ACARTONS ACARLONG ACARCLAU 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 23 5 5 0 82 0 0 0 0 0 0 35 0 20 0 0 0 0 0 39 0 2 6 0 0 0 0 0 0 0 0 0 38 0 0 0 0 0 25 0 8 2 2 0 14 00 6 0 0 0 0 0 0 0 0 6 11 0 0 0 0 4 0 0 0 ACARCOPE OITHSI~I 12 20 32 0 286 2 129 2 29 4 b3 34 110 2 0 312 16 22 0 32 0 226 0 11 0 5 39 28 2 28 0 432 8b 44 30 12 10 24 2 8 Table B6 e I CUlross STATION NEOMINTE DIAPGRAC OAPHSPEC BOSMSPEC CHY05PEC CYCL5PEC Cl1.0]H5 CI7.03Ht-. CZ&.03HS C02.04HN Cl0.05H5 C17.0SHN CZ4.05HS C31.05HN C08.07H5 C2b.0~H5 COb.OqHS C13.0QHN C20.0QHS C27.0QHN C03.11H5 COc;.11HN Clb.l1H$ C23.11HN CI5.1ZHS C23.12HN 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Table B6 f. Culro8S STATION EAFFAOUL EAFFCQPE EAFFJUVE HARPSPEC ROTISPEC COPENAUP Cll.OlHS CI7.0]HN C26.03HS C02.04t-1N CIO.05HS C17.05HN CZ4.05HS C31.05HN C08.07t~S C26.0~HS C06.09"'S CI3.09t-1N C20.09HS C27.091'"N C03.11'-'S COq.ll~N C16.11t1S C23.11HN C15.12HS C23.12HN 287 0 0 27 0 0 ]9 0 0 0 2 0 5 0 3 2 bOb b 47 0 100 16 9 7 338 10 1b5 14 5 0 2 9 0 0 Z05 0 404 0 53 0 18 240 14 112 0 14 126 0 0 0 7 0 0 0 62 9 0 0 18 15 34 140 43 54 159 225 48 119 20 4 178 18 167 2 76 101 46 130 167 48 to] 24 0 0 0 0 0 0 0 0 0 0 0 0 404 13 0 776 94 17 Itt. 1769 84 2b3 169 70 302 74 408 176 0 180 895 229 118 113 36 156 404 48 Appendix CI~ooplankton abundance IFigures Cl ...;.. -" ...... p..J w ...;.. U1 en ~ CD I ~ 1'.':1 ('') fo...l 0 "'T.1 ::0 IJ -+:0- >- -J>. --I t'j) . -- m "'U Cl ("") (T') Cl z :>c: -0 r n Cl 0:: co - t-i ...... r.:!J I!:, Tt ... 'I:- r- r ..... z - t\,l :I 0 I 'G1 .::1 :~ ~ t',J ,......., ...;.. ':"1'1 ($:I r,J) I:!J . .-'I , ...) :u "TJ r...J ...;.. tJ1 en ::c: -1 Z :7.J .-t~':' fo..) I=' ~ ....... ...... ...::. --I ~ i1 ...;.. 7.l r.Jl m > • -I m r.7' m ;.Q (,(1 er:1 r~1 j.!:1 - t',_) t·,) Figure Cl al Annual ab.mdance of'mixed group taxa at Fa11in,high tide. Logar! thmic scales. 'f)B/m' ...... ~ (:'1 -" Ci I l,-',,' ::r: Cl jI,] T: -0 rn CJ t:;) :~, IJ -i Cl r-, I~' ...:.- C' '._ . r-i (1,: :;1'< .,J ,- or'; .--; ° I e r,:,: '-'" r r- r t-, --0' ~ t ~: _-"".. t-1 C! I~".I ~.:: .-0 ..;.... t ,.r . I,.,) -f., ,~.~ (1"1 (:';1 I:;' 4- TI (,', -*" cr, -',1 (T.t .- r --i __ -.... ..._ ~ m r.n j ..... A.I I::. -4 ....... t" --! fT' :.::' m JJ ::t-. ';rj (1:, c' r~1 r..:, t·.) Figure Cl bIAnnual abmdance of mixed group taxa. at Fallln,low tide. Logarithmic 8cales,Nos/m3 :r. ~l ~- 0 At ""Cl ""0 ..,m ): coo:. Cl ...., -i Cl i~) -=" ..:;_ .= t-t 0 ~;t.- ((, -0 r ~ __" Ci.1 t·.._) ((I :J:- r r- e) ~ ::r ..... ,en C) ,!, -- r.:1 __" ...) ~ :T.1 Cl -i ~ T1 ' u) -+ (..1"1 7J eT) "U - :t: -i .;;.. • ...... .... ~ m G,) m m ::tI ~. ;.:0 cc· Ct· t·" Figure C2 al Annual abmda.nce of mixed group taxa at South A110a at high tide. Logarithmic 8cales.Nos/m3 c:. ....;, r.:, -fA ..- ~.j r r.,"') ::.:- 0 N -0 >- -0 --I 0 m "TJ Cj Cl t-; '':"J 1-1 Cl Z :;,.. c(. C 1.1 - Co r t-1 r.:i:. h.~' ')".1 :-.,:. r r0 :7- t··•."! :::;. ..... .... rro ....;. , ..) CJ I (J) .;...:, -fA t.~ .:;:, GI .... t·,..) f':":' 7::l 4L (1'1 0) "U - r ..... 7.1 --I ._. Cr -; Z --r 1-1 m l';) Tl m m JJ :> ::0 .~ Figure C2 bl Annualabundanceof wed Logarithllic Bcles,Nos/.' group taxa at South Alloa at low tide. r::1 ..-. ~.J (,-, r ~. 0 At '"IJ ~- ""tI m 40- ""tI C"""J --i ~ Cl 0 (.1) n ~ Cl z :::fr 1= 0:1 I.l - r 1-1 - a:r t·,_} C'1 c: -.'. ..:._ :3: Cl ,:) rn - ::I I:) I~ _.... '_,J t..:' ...J. (.~ (J) 0 ~I .- I "'_) ~, -+ en fJ1 en zr, z 7..1 0 --i 'J '1J -1 ~ ~ .." - ~ --I m " m C) m A1 ~. A:I 01 (11 ~l Figure CJ al Annual abundance ot aixed group taxa at DunIloreat high tide. Logarithmic 8cale.Nos/.3 Figure C) bl Annual &bmdance of aixed group taxa. at Dunmore at' .low tide. Logan thaic Bcales ,108/1l:3 J: ~ Xl (j Cl -0 m L1 -'" :to ""0 r) .0 --I 0 - t-I D ~ Cl -,. ::J. c: .,:1 ((I r - _. 0-" c:; 1-; 0:, - '0.) ~ '"~ Z c. >AI -0 '·... 1 ..,. m .... ~!i I:'SI -., -~ ~ - Cl I (j"'l ::: 7.1 ,=. -I ~ Z ~ ~ 7..1 "lJ :r: -l m I.:;) T1 m AI IT! ):. ::::0 (!'I c.) toJ Figure c4 al Annual abundanceof wed Logarithmic scales,Nos/m3 group taxa at Kincardine at high tide. ,~'!' rr. .... (1,1 (!I r. t-) ~:r.' Cl ?:l '"'tJ '"Cl ). m . Cl I~J '"? I-j 'T.J .._l C' 1-1 - ~, Cl ~:Jo- G:' C 'j) r _', i=' ~ t..~1 r., 7· ~ ...-. 0".1 ~". :n -... r··.... Cl -_ rn ...,. _o· ,..... r:~ ..... h) (.,:' -f.: ('1 ~:r) r!1 ..... t',J 1.:"':' 4- tr: Cl 'J'I I G".I :A.:1 Z ::D Cl _, Ti ...... Z 4L m ij r ~ ~ rT1 w) m ;t1 AI ):.- 0:.' r.l.1 f'.J Figure c4 bl Annual ahmda.nce of mixed group taxa at Kincardine at low t1de. Logarithm1c ecalee.Noe/.3 ._ :r" . -" ~: ...:. t._) r.:...:, 40, c:t (fl T" ~) ~. 0 I) Al -0 m );. 1:1 -0 Cl --', ~~ Cl ':-:, -:0 ..:.... >. 0 C ""'Cl r •--1 ,_.... c· 'f.' ~. ~, ..:;._ 11 r._· r:r· t:e -I (I") :::t ~1 0 .~. '_ ..' -.:. t··J (..:' 4< v: (1) lSI Cl -.:. r·,,·' (oJ ~ I G.' en a:.f1 /:1 ......1 At :z t,1 -1 .-1 .~ -i ~~ il m Xl ~. 'XI: - Cl -4 en m c._, m ;.0 0) Ci:l h) t\,l Figure CS a. Annual abundance ot wed group taxa at Sk1nnats at high tide, Logarithmic scales.Nos/m3 .' t·.) ':' UI to ...J ;:;:1 , - Cl r.) LI'! .••J Cl Lt :':"'1 .rl GI 1..1'1 "i ell '3) IJl r£1 c~~~~~~._~~~~~~ - ..... __ ~ "1.) (r:1(0 I:;:' Ct C:: C;_, r··J~ rn 'l." rSI ~.:I -t:. ..... .......-" _. r··) t".:, t ") r::. Cl IS: Cl Cl r.!:' C' '~J r.,:, Cl GI G. ul (;:1 u! r:;:1 ~::;, Cl r,:-) r >,. o -0 Al m "'U ~. .." o n '=' -f - ~I r; Z Cl c: -0 r :> 1-1 n c: r ::0 Cl (I") t.r'.1 .....:. -. t,J (.j .J;. r::1 GI r::;:t (:1 ,~, en en ~ co to Cl er C:;:I 1::;::1 Cl ~~,r::;::1 ::z: • -t m (j) m Al Figure CS bl Annual abmdanee of wed group taxa at CUlross at low tide. Logarithmic scales.Nos/.3 Gl Q ~ U1 Q Q ..r-f 0 -~ ..r... r.:n .1;.""') -_ 0 ::::0 .c.. n o :-rJ m 1---1 (/) ""() o o in (}"J ~ I C) :J'': -1 1-4 f::::J ITl ~ I ~ en I -I 1-1 CJ m Figure c61 Annualabundanceof neritic copepods at South Alloa.high and low tides. Linear scales.Nos/mJ t··.) Jl. ITJ CO oQ lSI C5:1I!;) -" -" -" _. _,. ".J (SI I\.) ~ ~~ cs;) 0") lSI C5:l CD lSI (SJ Q n Cl "1J m T.I Cl o (.f) Cl C z: _. ......-" r·J r··.) ('~i(J) f~) t·) +. (D f\_) Ul CO - ..j::. ~S:I '::1 tl:I lSi t£, lSi 1St lSi ~.J( ... ) ~•.:: ~I' _~ ~S) lSI (SI ~.~, cc' ((I r,_, ISJ lSI ~, f~.±-~~~ t··._) ::r (oJ (..:, ~ (T) r':';;:l ~ ((I"'._) r..:r_,IS) ~:S:II:;:) I:;:) I~I I~ __~~~~~~~ r.~:;) . r -~ ::J:3: ::p. G.i .:= (J"J :r: m Cl I:;) :k-t ,= in -l al t> .q r r.l) 1:;:1 0 :?.: r._, 1-' jj m tJ ,......, "1J z ,T -"' -"""r'J ".J ,....! --I 1--1 0 IT1 I 1-1 (1.1 I -! t-1 0 m Figure C? I Annual abundanceof nerl tic eopepods at Dunmore,high and low tides. Linear scales,.os/.J -I a r I::J Z .r.J:) 1-1 r r.""') 1-1 (:::. '''fJ ::T.) "7 ~ r,:O r-1 (J) ...... Ci:l 1',.1 .... __. ....:. .....:.. ...... ....:. t·, 'I r- '1 t, ., r.) Id' .•..1 I~I ".,)(.11 ~-.1 I~! t,::!di I:::' ~_n1..::.,1en I" (n 13) ':." I:;:J I~n ~s:.' (.J1 I~ r:5l (!:I r~1 I~ I::;) ~:S:I z n ~. AJ o z m (""J :.:r: :;:p. :-= ::;p. -f , '- Cr) .'- r::.q r c) :7"': -1 1-4 0 m Figure cB. Annual abundanceof neritic Linear BcaleB.NoB/.3~ "I ~ (j) I ~ 1-1 Cl ITI copepoda at Kincardine. high and low tides. ~ t'..'1 a ~l r er Z en ,_ (TJ (") 0 ...:::. AI (.(1 I'-t (() \.I I,:) "1J m -" I.) r.::!::1 I~ a (r') t-<J (r") A --- _..... -- t··.J -iL (T') (Cl 0 r··.J -+ Ij) m ~ r~ 1::1 J'S:) I::;:' I~'_' I~ (S:I (:::' I:::' r,.D ~::;:j 1:::1 I~ I~I I~' I:D I::) :':;:1 1'::1 (S) --..:. --:. ~ r-..) 'S) 1',) .../:. lTI t:1 lSI lSI lSI 0) r.:!:) 1'-,) .../:. IS' r.:1 1:sJ ~I __:. _..:..t-.J en oJ I~ lSI (~.' ~ ("",) 1'--:1 ::r: ::"" -'" .:. .. (I') OJ :.3 _:;-......f I:":' r.J::I ~. T '-I r,S) (i) T -l t<1 ~ 0 m Figure C91 Annual abundaneeof ner.ttie eopepcds at Sk1nflats at high and low tides. Linear ecales,Nos/m3 - ~.j en .... - (JJ .J:,. U1 J CO (!) I:s:l 0 0 lSI ':S) 'SI CS' IS) crI '~I lSI 'SI ~~~~~~~~~~_.~~ ~ II r f;:) Z (j') D C r _. ..... fr. t··.) I..•.) 1:=. ~ en Al ';T! Cl -;.•J ({J rn • :::c -.J> (f) l:=- I ~ (j) ::I. -I t-1 o m Figure C10, Annual abundance of neritic copepods at Culross at high and 3 low tides. Linear scales,Nos/. r-.j IS:) 'S, ';S:J w 'SI ~ 0 c:J ):.. - 1",) • 11 -A IS) Q r ,=, :> ~ r en t-1 1-1 (II W ~S) "0 m + ~") GJ lSi tl.~1 Q :::J:- l= ((:1 'J1 :".. (I:! ((I Z m c::; A.1 = ......... (f) ~.~: .~>- fo·..:: CJ + r··..., t···) ~ ~ 1-l-< r.=:t ..:..... --:..._ 1)-' I::J) -::'" :~. !..i) --" C!:) en :.'0 III ~--:,. _.. I~!: r..:O .~ ~r-~ I ~ ::s::: CD Cl _....... ( r~1 --f t··.·, r-, I ~ -i Cl 1-1 m 0 m Figure OIl, Annual abmdanee of Aeartia spp. at South Alloa. high and low tides. Linear . 808.les .NoS/1l3 __.t·) (,J -l.I.. ::) ~~: 'S' lSI tSJ en eT) '-..,J t~'ISJ 'Si ,:0 ..... (D __. ~,) (,J ~ (.0 Cl') ...~ ((I (D ~I Q 'SJ Q lSI 0 (~lSI ,3) 'SI (:i:.l Q c:;) (1:1 '3:1 ~~ • 'Il t-1 T1 t-1 r I~ .n ((I ~:F- ).~ C) ) ..... z ::0 --I 1""'1 :J:t··: _.. r~1 IS' I~' (S) t°.,J (....) ~ IS) IS:' m is) lSI lSI 13) (::' ,3) (1":1 "'-~ I':::' rIl 'SI (5:.' __. IS) (~I :l:- (::' ':.:' t··J "7 U) (:::1 (_"J ~ IS) ':SI lSI 13) (.r1 '.:n .::::"1 1':::1 1::.1 (S) '-' •..1 '::,3) -:.P' - r- -1 i:::' t··.J I::' -+, "_:1 -, .~r:;) ,-< :.J::- :t'J !"n (0 '-::1 -'I', r '«: r'::l ~:. I .Li -r- .J.. -f r'-.1 ~ ,~ -! .-1 in Cl 111 Figure C121 Annual ahmdance of Acartia spp. at Dun.ore, high and low tides. Linear scales,Nos/.3 t·,) .n -;-J ~s:;i:~!1 r:) (.11 __...-.:.-" 1::1 13) t·..) (J1 !::I I~n _. ~'J r',J !',J '-.J lSI r,j .n I;_n (:~l 'Jl (.5) rs) - T'J (,j .j).. (..J1 lSi I:::) I~) ~:;) 'SI m ....... J '<, m ill LW G) 1;:1 I:.:;:) ~:::) 13) >, ... ( ) ):- :D --I - 1'-1 ):- (,1) z: rn t··..:: . _J:. • r....p. ':=J -:::" ,(7.,"1 r-, -' , i i":'( I ::n m -:;: '--=1 'p~~-:) - T ,;::) 1-1 -c: G'J --i r·.:, ~". ...... CJ I --I 1"""1 iT1 :.::J III Figure Cl). Annual abundance of Acartia spp. at Kincardine, high and low tide. Linear sca1es,Noe/m) t·.,) , ):- •m 1-1 -+-- 11 >.. 1'<1 () r 4< >- '- t-I r I"r"· _I .' I~ (f) CD 1"""1 (() :;F- co 1::'(1 1-1 Z --:, m __, N Ci:l --.....- '=1 (J') ~.J r...J ..... ".J ....;. ....;. ~.J l ..p. +<,,":1 r..... r.:..n Cl U1 I:;' U1 Cl (Jl I!:I (.11 IS 'S) rSl 'SI I:;:! 1;s:J I~ 1;s:J I::::, 'SI IS) Z 11 (-', r~, ( •.11 r~' rS) lSI __" -" I::;:' en lSI r0 I:;) ~!I G t-.J lrJ r I~I I::;:) IS) -I en if) 1::5) >. I',_) I~ ~ r_:::) :.z CJ 0)'') o- > . r -I Z ):- (I') :::D rn ....... 0:1 ...... ~ (J") I:=I 1-1 J::!:I G1 :c -I " •..'1 t-I 0 111 Figure 014, Annualabmdance of Acartia epp. at Skinflate. high and low tides. Linear sca1ee.Nos/m3 ........ -:.. ..... kl I~IJ~ 01 0'1 ..... J (0 ({J rS:1 G) (:;:1Cl (:;:1 IS) IS.1:-:;:"J Cl _. ~::rISJ G) Cl cS) ):- • 1'-.."1 CO ~ II ,=, (oj ..A (J1 CT) '-J if.J 1;9 (SI >SI ISJ lSi uJ a: !SI G' 13) >a 0 ~, t-f r 1'<1 13:! (n r :;.:. r.= oJ) I'"""'! (() ::J:.- ~ Z 01 m _.. 7J -,. _. r.:!;) ....... in ::t:- 1'<.) !'-), ~ Cl z u·) ):- ~ -r::J:Cl Z -... r_::_' en o~ In CO :-:I I_ r.:.I') i> I 1-1 .:J.l r~'1 I to,,'! t-t -i Cl m Figure CIS. Annualabmdance of Aca.rtl& spp. at Culross, high and low tides. Linear acalestNos/m) 0 t,,) u G) :::D ~ ::;,:. 1-. r t-" G,I ...... rj) (Cl r..!.1 k) ....... 0") - ;=' en (.,) 'SI ...J:;.. 1:r:1 ~.::J I:.LJ 1:;::1 1',,) (I.) Ijl ,:;;) I~n 1:5:) I:;:, '~n en CS) +-'---A.--II..-"'__'_-'-......L--J_.L.-I r.:..rl r~' en t:!l I~,~_~ __ L- ___'__~ lSI __~ .....:1 en I -f t-1 C) t>.;;, 'lJ t",~1 Cl ::z ....... o m .~: Cl ((j + I -P Z ):. i:~-. I::.:J :lJ ~ 0 (() '.:CI ((. (::, r'::::', '-' '1J t·,,J Figure c16 al ~ual abundanceof freshwater taxa at Fallin at high tide. Linear scales,Nos/m3 to,) lSi to.o) 0'1 0 r-oJ a r.:J.;! :::0 -4 :):> -(""') r GI (J') co -" 11 r~1 "J> rr . ~.) ...... z - (I) ~ 1:r:1 <I (J:I IS) 1',) (I_-I IS) en IS! Ul IS) (n IS) I~n tSI IJI en r5:.' t1) -~ IS) en lSI -j.'--I.-L-..L-...L--L.-I..-J......I~J.....I Cl r~..) co .. l:tJ lJ ~o.) 1::1 ..,.-, iT, == ....p. ...,.. ..._ >-4 ):- m I ..-::~ 0 I~ ':T.l I-< 0) 0 .:j? "0 (C! 0' ::'::t r.:i' t._) ~'o.'l OJ Figure c16 be Annualabunda.nceof freshwater taxa at Fallin at low tide. Linear scales.Nos/m3 ...:.. . ~.) r.~ lSI r::S:1 t·..:; _. _. _. t-.J f'>.) f'>J '.. J & r<:r U1 ~,(_" Q1I1 C~ 'Si en 'SI t·,.) Ul '''"~ IS) f'>.) en 'SI r..n Cl ..G) Cl :)!. IJ :r: -J:;.. 2 AI ...j.. :;» C) >-1 :~. tT' ....... r 0.1 ...... (.1') (1:~ (0 Tl ~) ~: __;, -" I::: r.ZI ((I • >r r',J r Cl i:, t8 ".J 1:::;:, (_,j lSi -~ lSi r.:.n t-.) (I,) ~r':'l1 ~~, r.SI lSi 1:2:1 1::::1 m Cl + -:,,- IS;! r.=' en ~.~0:1 U,) G:I -...:. 1--1 I~ G1 lSi lSi (~) lSI 1",) ::c -; C") I -::: ,'f) ::r ...... ~ - Gl 'S) >:c ...... 0 m 0 4(II I':::> ::T.J ~ 0 , .. I.-,) 0:: rn I::' :"~I 1 OJ '-0 t,J Figure C17 a. Annual abundanceof freshwater taxa at South A110a a.t high tide. Linear sca1eS.Kos/.3 ):- r r I:) >....lo en - r:S:_, r:::iJ ,:;:) en t-,) (,j ~ r':'l1 I:;:) ISJ ~:s;J lSI Q ':SI I~ '<, .l (() r.j) IS! c:S:' IS) --f t-I (""J m t-<I I:J o m -(, Cl 'J") _p- z :> I O AJ 1--1 rn Cl ((J '"lJ 0) -1J ~l) r-.J Figure cl? bl Annual abundance of freshwater taxa at South Alloa at low tide. Linear scales,Nos/.3 ~~......::..~ - ~ L" 0 y. '"0 J: ?" .-. iJ..:1 .A IS) (J) '--~ Ul Cl UJ ~ h) 6.) en IS) Ul m en t··,J Cl D (j) A:I ...j... ">- ~ :l:- 1fI IS) C") ~ - tJ:i r U) rj) T1 ::0 .._;, '::' ~ -" C!.) ,=-~ 0 .:::.. ,.... -, i -l. Cl m " J: ~ rSJ I'-,j Ul r~1 (.~ 13) Gl :c -t C") I -::: 0 m 0 r.::J .~ I~ CJ ((j "-0 ""D Figure Cl8 a. Annualabmdance of freehlfater taxa at DunlIoreat high tide. Linear ecales,Noe/.3 --:. ~ .. j - '-::1 en iJj ~ is! 01 11) IS) ....:a __:.. ~ ···.1 UJ lSI r,j w Ul (n G) C~ lSI (11 lSI o :):- 0 "1J "(J.l z :):. ::r: :::r.J -C) r (I') T1 ':<J ~:: Cl 1= Z r·.J :::3: r·J Cl ~J m ~!I I:"'~ rSI hJ ()l r Ct :s: I:;:) -i t-1 tJ :r: ~: 0 m C) r--' :.:r,:.1 1-01 CJ ({) ''1;1 v Figure C18 b. Annual abundance of freshwater taxa at DwlIlore at low tide. Linear scales,Nos/.3 y ...) ,!:" Cl '::' U ~:, (~f 'SI h:.J 'S' 0 0 :):- a (j) iJ :r: :::u :::J:- z n ...... r ...... t-! :l:(r:J (J) (X, "T1 ::n ........... ......:. ' ... 1;::::1 1 A t-1 Z r,") n .. ): AJ o I'-'-i Z i::l ':...n 'S) ( ..n t··..:" r:, :os.' U1 r.,s) ,-,.) I:;) m -.:r: UJ n CO ,=, I ({J 0 -:;. ::z _., z .1'::;' AJ ,- ~~. :r: --I I-~ Cl m Q «) IJ 'iJ .~I r,.:s:1 t'~1 Figure 019 al Annual abundance of freshwater taxa atKincardine at high tide. Linear sca1es.Nos/.3 t,J is} ',SI IS} l.,_i '31 s: fSJ en r.:s.., r.5J 0 :~. r:'SI Cil lJ tJ ~ IS) .A U1 13) I,S) t··.) 0 a 'iJ I Z ~ =~ (j) AJ ...j.L :> C) ....... r ....... •:J) (f') (0 Tl ::OJ -.::........ •--!' cr, 7\: ...... Z Cl r'J >:lJ CJ ...... Z. m -~~ l~ en ,~, I···.) (..11 r.~, m Cl t'·) (SI (..~ I:;:) tJ 1"'.1 40- ~ :,.. (SI lSI ,:.0 = ..... ..... (.~ I .-.<:: 0 c., r Cl ~..: -I ..... CJ m AJ >--4 IT! C.J (() OJ 1:.1 IJ r!) Figure C19 b. Annual abundanoe of freshwater taxa at Kinoardine at low tide. Linear soales.Nos/m3