QBEX – Quantifying benefits and impacts of fishing exclusion zones

Transcription

QBEX – Quantifying benefits and impacts of fishing exclusion zones
QBEX – Quantifying benefits and impacts of fishing
exclusion zones around Marine Renewable Energy
Installations
Research Team
Prof. David Sims (P.I.), Dr Stephen Cotterell, Marine Biological
Association Laboratory, Plymouth
Prof. Brendan Godley, Dr Matt Witt, University of Exeter
Dr Julian Metcalfe, CEFAS Laboratory, Lowestoft
Dr Dan Conley, University of Plymouth
Dr Mike Bell, Prof. Jonathan Side, Heriot-Watt University ICIT
Dr Mel Austen, Plymouth Marine Laboratory
http://www.mba.ac.uk/simslab/QBEX
Focus of the research is to:
• Use novel tracking technologies to determine the
spatial movements of fish across a wide-range of
spatio-temporal scales (spanning metres to 100s of
km, and minutes to years).
• Relate space and habitat use to the changing
physical and biological environment around MREIs.
• Couple field monitoring-derived estimates of
abundance of fish and macro-invertebrates
comprising the community assemblage found within
and adjacent to MREI sites.
• Assess social and economic costs of MREIs on
fisheries, together with combination of tracking
technologies and environmental sampling, for
examining importance of potential spillover to
regions adjacent to MREIs.
Where?
Study locations:
(1) A small-spatial scale, wave
energy test site (the Wave
Hub, off Hayle, Cornwall).
(2) Round 1 (R1) offshore
wind farms (North Hoyle,
Rhyl Flats; North Wales)
and the area north of this
towards the R2 Gwynt-yMor wind farm currently
under construction.
How will this be achieved?
Programme of research (3 years; 1st Jan 2012 – 31st Dec 2014)
Module 1. Animal movements (Partners participating: MBA, Cefas, Exeter)
Module 2. Animal distribution and abundance (Exeter, MBA, Cefas)
Module 3. Integration of animal movements with physical characterisation
(MBA, Exeter, Cefas, Plymouth, ICIT)
Module 4. Estimating ‘spillover’ from spatial dynamics and abundance and
its effects on fisheries (MBA, Exeter, Cefas, ICIT)
Module 5. Determining the social and economic costs and benefits of
‘spillover’ from MREIs to inform marine spatial planning decisions (PML)
Module 1: Animal movements
Deliverables
D1.1 Data collection from arrays and retrieved tags (6 to 30 months)
D1.2 Track reconstructions and spatial analysis (6 to 33 months)
•
240 data/acoustic tags deployed at Wave Hub and Irish Sea
•
Engagement with commercial and rec.
fishers and organisations, 31 DSTs (+1
acoustic) recovered to date (both sites).
Module 1: Animal movements WaveHub – acoustic tagging
Six VR3 equipped landers
deployed (July 2012) at WaveHub
40 fish and rays tagged with
acoustic pingers
•
Awaiting uploading of data
from array
Module 1: Animal movements
Deliverables
D1.1 Data collection from arrays and retrieved tags (6 to 30 months)
D1.2 Track reconstructions and spatial analysis (6 to 33 months)
•
240 data/acoustic tags deployed at Wave Hub and Irish Sea
•
Engagement with commercial and rec.
fishers and organisations, 31 DSTs (+1
acoustic) recovered to date (both sites).
Key advance: development and testing of more
advanced tidal geolocation method for track
reconstructions
Module 1: Animal movements Tidal geolocation – Irish Sea
2-state hidden Markov model (HMM),
(Pedersen, 2008)
M2 amplitude (m)
3.480
Model matches tidal pattern in tag
depth data with geographical domain
of known tidal composition
•
0.115
•
•
•
Coverage based on ICES area VIIa
(Irish Sea)
1 km grid in UTM30N (cm -5.75°)
351 rows x 331 columns (116,181
points)
Amplitude and phase values for 11
tidal harmonic constituents for
grid from OSU TMD (e.g. Egbert, et
al., 2010).
Egbert, et al., (2010). Cont. Shelf Res. 30: 668-679
Pedersen, (2008). Can J. Fish Aqu Sci. 65: 2367-2377
Module 1: Animal movements
Data storage tag deployed on
sinker of Liverpool Bay Smart Buoy
(with co-operation of Cefas and
AFBI)
1:3,000,000
km
0
7°0'W
6°0'W
5°0'W
20 40 60 80 100
4°0'W
3°0'W
52°0'N
53°0'N
54°0'N
55°0'N
Static tag sensitivity analysis - method
Analysed using same model
conditions as for animal attached
tags
Data gathering is ongoing
Module 1: Animal movements Static tag sensitivity analysis - results
Module 1: Animal movements Example of westward movement
Module 1: Animal movements
53°0'N
9 females moved to the west
1:1,500,000
km
0
5°0'W
10 20 30 40 50
4°0'W
Result of tidal classification
0
Depth, m
-20
-40
-60
-80
300
350
400
Julian day
450
500
1. Released in Oct 2012
2. Moved west Nov/Dec 2012
3. Then resident in deep
water or near Holyhead
4. Returned to the east
Apr/May 2013
5. Then resident on shelf
close to release area
• Often large vertical
movements when in west
• It seems that later west
movers may not have
travelled so far
• 1 ray did not return to the
east
• 2,489 active days, average =
277 d
Module 1: Animal movements
54°0'N
5 females moved to the north
• Data runs possibly too
short to provide evidence
of return
1:1,500,000
km
0
• Less evidence of apparent
large vertical movements
10 20 30 40 50
4°0'W
1. Released in Oct 2012
2. Moved north Nov/Dec
2012
3. Evidence of residency in
deeper water off
Fleetwood in early 2013
3°0'W
Result of tidal classification
0
Depth, m
-10
• 731 active days, average =
146 d
-20
-30
-40
-50
300
320
340
360
380
Julian day
400
420
440
460
480
Module 1: Animal movements
54°0'N
6 females and 2 males moved
a small distance from release
• Some rays moved about the
shelf area
• Depth range from 20 to
60m in DSTs
• Fewer larger daily step
lengths (10s of km)
• Some runs are short (3 < 60
days)
1:1,500,000
km
0
4°0'W
10 20 30 40 50
3°0'W
Result of tidal classification
0
Depth, m
1. Released in Oct 2012 (1
male in July 2012)
2. Sometimes displacement
from release position then
more static
-20
-40
-60
300
320
340
360
380
Julian day
400
420
440
460
• 772 active days, average =
97 d
Module 1: Animal movements
54°0'N
100 data storage tags
deployed, during July 2012
and Oct 2012. (10 males,
90 females overall)
22 tags returned to date
• 15 washed ashore
• 6 via commercial fishery
• 1 via recreational fishery
53°0'N
2 males
20 females
1:1,500,000
km
0
5°0'W
4°0'W
10 20 30 40 50
3°0'W
3,992 active days
Min = 8 days
Max = 361 days
Average = 181 days
3 patterns of movement
west, north, stay
Module 3. Integration of animal
movements with physical characterisation
Deliverables
D3.1 Testing and completion of custom-written software framework for statistical analysis (to 18 m)
D3.2 Completion of analysis and random walk modelling (6 to 33 m)
D3.3 Spatial overlap estimates of fish movements and fishing vessels (24 to 33 m)
Acoustic tag data: Novel statistical methods employing network
theory to test for spatial changes and habitat/environment
associations. Paper published: Jacoby et al., (2012). Methods Ecol. Evol. 3, 574-583.
Archival tag data: Tidal geolocations with random walk modelling
to understand space use in relation to environmental fields
Example fields:
(1) EUNIS predicted habitat map
(2) Slope and depth
(3) SST, modelled seabed temperature
(4) Chl ‘a’
(5) Surface currents (direction, strength)
Module 3: Integration
53°0'N
54°0'N
Sediments – all 3,992 active days
1:1,500,000
km
0
5°0'W
4°0'W
10 20 30 40 50
3°0'W
%
Day
<1
<1
<1
EUNIS name Code
High energy R 3.1
Mod energy R 3.2
Low energy 3.3
shallow R
High energy 4.1
3
deeper R
Mod energy 4.2/ 27
2
deeper R
Low energy 4.3
<1
deeper R
Coarse
5.12 / 3 / 4 35
sediments
S or mS
5.23 / 5 / 7 51
sM or fS
5.33 / 5
2
Mixed
5.43 / 4 / 5
3
sediments
None
0
2
Total
100
Module 3: Integration
Sediments – all 3,992 active days
north
west
07/12
9
8
8
Xympt_THR_02_A08_349_1_10_244_d_d_H_W
9
12
12
9
Xympt_THR_03_A08_353_1_10_246_d_d_H_W
9
12
12
12
9
9
12
12
12
12
9
8
9
8
9
9
females
Xympt_THR_07_A08_373_1_10_254_d_d_H_W
Xympt_THR_09_A08_376_1_10_258_d_d_H_W
Xympt_THR_10_A08_377_1_10_260_d_d_H_W
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10
10
10
10
10
10
10
10
6
10
18
10
18
10
10
10
9
9
17
17
17
17
17
17
18
17
17
9
10
10
4
4
9
9
4
4
6
6
4
4
4
4
4
4
4
9
9
9
9
9
9
9
9
9
12
12
9
9
1
9
9
9
9
9
12
9
12
12
12
12
12
9
9
9
9
9
12
12
12
12
12
12
12
12
12
12
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
9
9
9
9
9
9
8
9
8
9
9
9
9
9
9
9
9
9
8
8
8
8
8
11
11
8
11
8
8
8
8
8
9
9
8
9
9
9
9
9
9
9
9
9
9
9
9
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
9
9
9
9
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
18
18
10
18
18
10
10
10
10
10
9
18
18
17
9
9
9
9
9
9
9
12
12
9
9
9
12
12
12
12
11
12
11
12
12
12
12
11
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
Xympt_THR_19_A08_437_1_10_283_d_d_H_W
12
12
12
12
12
9
9
18
17
18
18
17
17
9
9
9
9
9
9
9
9
12
12
12
9
9
9
9
9
9
9
9
10
10
10
18
6
6
6
6
6
6
10
10
10
10
18
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
6
6
10
6
10
10
6
10
6
6
10
10
18
10
10
6
18
10
10
10
10
10
10
10
10
10
10
10
10
10
18
18
18
18
10
10
10
18
10
10
9
10
10
10
10
10
10
10
9
9
10
10
10
10
9
17
18
10
10
10
10
10
10
9
18
17
18
9
9
9
9
9
9
9
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
12
11
11
11
11
11
11
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
12
12
12
12
12
12
12
0
16
13
12
12
5
12
6
5
12
11
0
0
0
0
0
0
0
0
0
0
0
0
0
11
11
12
13
8
12
15
15
15
15
9
12
12
12
12
12
12
9
9
9
9
9
9
9
9
12
12
12
12
12
12
12
12
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
0
0
0
0
0
12
13
11
11
11
11
8
8
11
11
11
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
9
9
9
9
8
9
9
9
9
9
12
12
12
12
12
12
12
12
12
12
11
11
11
11
11
11
11
11
16
11
11
11
12
12
12
12
12
12
12
12
12
11
11
11
11
11
11
11
11
11
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
11
12
12
13
11
11
11
11
11
11
11
11
11
11
12
11
11
11
11
11
11
11
12
13
13
13
12
12
12
12
11
12
11
11
11
11
11
13
0
16
12
12
12
13
11
12
11
13
13
13
12
13
12
13
13
12
12
13
13
13
13
13
12
12
13
11
11
11
11
11
11
11
11
11
11
Xympt_THR_06_A08_363_1_10_252_d_d_H_W
9
12
9
9
9
9
9
9
17
17
17
12
12
12
12
12
12
12
12
12
12
12
17
17
17
17
17
17
17
17
17
17
17
17
17
9
9
9
9
9
9
9
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
8
8
8
11
11
8
11
11
11
15
15
15
15
14
15
14
14
15
15
15
15
14
11
11
12
11
11
12
12
12
12
11
11
11
12
11
11
11
0
0
8
8
8
8
0
8
8
9
9
9
9
12
12
12
12
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
15
11
11
12
12
12
12
12
12
12
11
13
13
12
11
13
13
12
11
13
11
13
13
11
11
12
11
0
0
0
0
0
0
11
0
0
0
0
0
0
16
16
16
11
0
0
0
0
16
8
9
12
12
12
12
12
12
12
12
12
11
11
11
11
11
8
9
9
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
11
11
11
11
11
11
11
11
11
12
11
11
12
12
0
11
0
0
0
0
0
0
0
0
0
0
0
11
17
12
12
11
11
11
15
15
15
15
15
15
15
15
15
15
15
15
15
17
9
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
9
12
15
15
15
15
15
15
15
15
15
15
15
15
15
12
9
10
18
10
9
9
9
9
9
11
9
9
9
18
10
9
12
12
15
12
15
15
15
15
15
15
15
15
17
17
9
9
9
9
9
9
12
12
12
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
Xympt_THR_11_A08_380_1_10_262_d_d_H_W
Xympt_THR_12_A08_385_1_10_240_d_d_H_W
8
males
12
9
9
17
17
17
18
9
9
9
9
9
9
9
17
18
17
17
10
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
12
9
9
9
9
12
12
12
12
9
9
9
9
9
9
9
9
9
9
17
17
9
9
17
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
12
12
12
12
12
12
12
12
12
12
12
12
12
12
9
9
9
9
9
8
8
8
9
9
9
9
12
12
12
12
12
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
12
12
12
12
12
12
12
9
9
9
9
9
8
8
8
8
8
8
8
8
9
8
8
8
8
9
9
9
9
9
9
9
9
8
9
8
8
8
9
9
9
9
9
9
12
12
12
12
12
12
12
12
12
12
12
12
12
12
9
9
9
9
9
9
9
9
12
12
9
9
9
9
9
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
9
12
12
12
12
12
12
12
12
12
Xympt_THR_16_A08_417_1_10_274_d_d_H_W
12
12
9
9
9
9
9
9
9
9
9
9
12
12
12
12
12
12
12
12
12
12
12
12
9
12
12
9
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
11
11
11
11
11
11
12
12
12
12
12
9
9
12
9
9
9
9
9
9
9
9
9
9
9
12
12
12
12
12
11
12
12
12
12
12
12
12
12
12
9
9
9
9
9
9
9
9
9
9
9
9
9
12
12
12
12
12
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
12
12
12
12
12
9
9
9
9
9
8
Xympt_THR_17_A08_422_1_10_277_d_d_H_W
9
8
9
8
8
9
8
8
9
8
9
9
9
12
12
12
Xympt_THR_18_A08_425_1_10_280_d_d_H_W
9
8
9
9
9
9
9
9
9
9
12
12
12
12
12
12
Xympt_THR_20_A08_447_1_10_286_d_d_H_W
12
9
12
12
12
12
12
12
Xympt_THR_14_A08_404_1_10_268_d_d_H_W
9
Xympt_THR_21_A08_450_1_10_289_d_d_H_W
Xympt_THR_22_A08_352_1_10_293_d_d_H_W
12
•
•
•
•
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
12
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
11
11
11
11
11
11
11
11
11
11
11
11
9
12
12
9
12
12
6
3
8
Xympt_THR_05_A08_358_1_10_250_d_d_H_W
6
3
12
Xympt_THR_04_A08_357_1_10_248_d_d_H_W
6
10/13
3
Xympt_THR_15_A08_409_1_10_271_d_d_H_W
9
6
07/13
10
Xympt_THR_13_A08_402_1_10_265_d_d_H_W
Xympt_THR_08_A08_375_1_10_256_d_d_H_W
stay
01/13
Xympt_THR_01_A08_345_1_10_242_d_d_H_W
EUNIS substrate type
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
17
17
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
12
9
12
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
8
8
8
9
8
9
9
12
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
12
11
12
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
12
12
12
12
12
8
8
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
11
11
11
11
11
11
11
11
11
3 0
11
11
colour days
High energy infralittoral R
88
Moderate energy infralittoral R
32
Low energy infralittoral R
16
High energy circalittoral R
12
1 0
26
11
Initial movements were over coarse, or fS/mS
sediments
Higher energy sites were visited by rays that
moved to the west in the winter
These rays were also visited fS and mS sites in
the summer of 2013
sM sediments were encountered by some rays
that moved to the north
Moderate energy circalittoral R
Faunal com on deep moderate energy
circalittoral R
181
Low energy circalittoral R
137
25
Infralittoral coarse sediment
3
Circalittoral coarse sediment
136
Deep circalittoral coarse sediment
910
Infralittoral fS or infralittoral mS
460
Circalittoral fS or circalittoral mS
663
Deep circalittoral S
Infralittoral sM or infralittoral fS
Circalittoral sM or circalittoral fM
Infralittoral mixed sediments
Circalittoral mixed sediments
Deep circalittoral mixed sediments
outside
Total
1016
37
4
104
7
62
85
3992
11
Module 2: Animal distribution and abundance
Deliverables
D2.1 Spatio-temporal abundance estimates of benthic
invertebrates, fish, seabirds and marine mammals (0 to 30 m)
D2.2 Estimates of fisheries overlap with MREI adjacent areas
(24 to 30 m)
Balanced experimental design of
deployments of sampling equipment
(baited traps; towed and drop-down
video cameras; C-PODS; visual survey).
Communities of mobile macrobenthic
invertebrates (e.g. prey of fish), fish, and
fish predators (seabirds and marine
mammals) monitored at test and control
sites.
These programmes running since 2008.
2014: Acoustic surveys for pelagic fish
Module 4. Estimating ‘spillover’ from spatial
dynamics and abundance and its effects on fisheries
• Estimate proportions of time that individual animals spend
in test and control areas, rates of movement between those
areas, and potential drivers.
Module 2
Deliverables
D4.1 Empirical estimates changes in space use and spillover (24 to 33 m)
D4.2 Output of spatial fishery model (24 to 33 m)
• Estimate spillover empirically using movement and
abundance data
• Develop and test individual-based spatial models of
potential spillover effects on fisheries
• Explore implications for sustainable exploitation
Module 4
Module 4: Estimating spillover
MREI sites – all 3,992 active days
54°0'N
8 consented MREI sites visited
by rays at some time.
371 out of 3,992 days = 9.2%
but high variability.
Most were at Gwynt-Y-Mor
(218 days or 59%)
53°0'N
Burbo Bank Extension (55 days
or 15%)
1:1,500,000
km
0
5°0'W
4°0'W
10 20 30 40 50
3°0'W
Irish Sea, consented area only
(87 days or 23%).
north
west
10 10 3 3 10 10 10 10 10 10 3 3 3 10 10 10 3 10 10 3 3 3 10 10 10 3 10 3 10 3 3 3 3 3 3 3 3 3 3 10 3 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Xympt_THR_02_A08_349_1_10_244_d_d_H_W
10 10 10 10 10 10 10 10 10 10 4 4 4 10 10 10 10 10 10 10 10 10 10 10 10 4 4 4 4 4 4 4 4 4 4 10 10 10 10 10 10 4 4 4 4 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Xympt_THR_03_A08_353_1_10_246_d_d_H_W
Xympt_THR_07_A08_373_1_10_254_d_d_H_W
Xympt_THR_09_A08_376_1_10_258_d_d_H_W
10 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 4 4 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 6 6 6 10 10 10 10 10 10 10 10 10 10 3 3 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 4 4 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
females
Xympt_THR_10_A08_377_1_10_260_d_d_H_W
10 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
10 10 10 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 10 3 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 3 3 3 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 2 2 2 2 2 2 2 1 2 2 2 2 2 2 2 2 2 2 2 2 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 5 10 10 5 5 10 5 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 3 3 3 3 3 3 3 3 3 3 3 3 3 3 10 10 10 10 10 10 10 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 4 4 4 4 4 4 4 4 4 4 4 4 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Xympt_THR_13_A08_402_1_10_265_d_d_H_W
10 10 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 3 3 10 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Xympt_THR_15_A08_409_1_10_271_d_d_H_W
10 10 10 3 3 10 10 10 10 10 3 3 3 10 3 3 10 3 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 3 3 3 3 10 3 10 3 3 10 3 3 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 4 10 10 10 10 10 10 10 4 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 4 4 4 4 4 4 4 4 4 4 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 2 10 10 10 2 10 10 10 10 10 10 10 10 2 10 10 2 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Xympt_THR_19_A08_437_1_10_283_d_d_H_W
10 10 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 4 4 4 4 4 4 4 10 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 2 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Xympt_THR_04_A08_357_1_10_248_d_d_H_W
10 10 3 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Xympt_THR_05_A08_358_1_10_250_d_d_H_W
10 3 3 10 3 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 2 10 2 2 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Xympt_THR_06_A08_363_1_10_252_d_d_H_W
10 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 7 7 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 8 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Xympt_THR_11_A08_380_1_10_262_d_d_H_W
10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Xympt_THR_12_A08_385_1_10_240_d_d_H_W
Xympt_THR_14_A08_404_1_10_268_d_d_H_W
10/13
07/13
Xympt_THR_01_A08_345_1_10_242_d_d_H_W
Xympt_THR_08_A08_375_1_10_256_d_d_H_W
stay
MREI sites – all 3,992 active days
01/13
07/12
Module 4: Estimating spillover
10 10 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 2 2 2 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
males
10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
10 3 3 3 3 3 3 10 3 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 3 3 3 3 3 3 10 3 3 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 3 3 3 3 3 10 3 3 3 3 3 3 3 3 3 3 3 3 3 3 10 3 3 3 3 3 10 10 10 10 10 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 3 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Xympt_THR_16_A08_417_1_10_274_d_d_H_W
10 10 10 3 3 10 3 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 2 2 2 2 2 2 2 2 2 2 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 2 10 10 2 2 2 2 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Xympt_THR_17_A08_422_1_10_277_d_d_H_W
10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Xympt_THR_18_A08_425_1_10_280_d_d_H_W
10 10 3 3 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 2 10 10 2 10 10 10 10 10 10 10 10 10
Xympt_THR_20_A08_447_1_10_286_d_d_H_W
10 10 10 10 10 10 10 10
Xympt_THR_21_A08_450_1_10_289_d_d_H_W
10 10 10 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 3 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 2 2 2 10 2 2 2 10 10 10 10 10 10 10 10 2 10 2 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
Xympt_THR_22_A08_352_1_10_293_d_d_H_W 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
MREI area name
Burbo Bank
Burbo Bank Extension
Gwynt Y Mor
Irish Sea
North Hoyle
Rhyl Flats
Walney 1
West of Duddon Sands
outside
Total
colour
days visited
1
55
218
87
4
3
2
1
3621
3992
•
•
•
After release 16 (of 22) rays visited the GwyntY-Mor site.
Some of those that went west transited
through Irish Sea area on way out or back.
Those that returned to the shelf area visited
the MREI sites there as did those that did not
move north or west.
Module 4: Estimating spillover
-5.6
-5.45 -5.3
-5.15 -5
-4.85 -4.7
-4.55 -4.4
-4.25 -4.1
-3.95 -3.8
-3.65 -3.5
-3.35 -3.2
Modelling mobile fish distributions and effects
of fishing and area closures
- Progressing well
-3.05
0
0
0
0
0
0
0
0
10
2
0
0
0
0
0
0
0
0
3
15
1
1
2
0
0
0
0
0
0
0
0
0
0
2
4
1
0
0
0
0
0
0
0
0
0
0
0
0
10
31
11
0
0
0
0
0
0
0
0
0
0
0
0
0
7
4
0
0
5
0
0
0
0
0
0
0
0
0
0
0
0
0
2
6
3
125
59
0
0
0
0
0
0
0
0
0
0
0
0
0
3
3
13
10
12
0
0
0
0
0
0
0
0
0
0
0
0
0
34
0
23
54.4
54.3
54.2
54.1
54
53.9
53.8
-5.6
53.7
-5.45 -5.3
12288
10538
11045
-5.15 -5
11730
11976
-4.85 -4.7
10831
-4.55 -4.4
12135
13040
14099
-4.25 -4.1
13432
13665
-3.95 -3.8
-3.65 -3.5
-3.35 -3.2
-3.05
54.4
0
0
0
0
0
8
57
86
21
10
5
34
23
21
62
32
18
0
0
0
0
7
67
11
3
10
11
17
32
96
95
366
272
7
53.6
11301
11653
12102
11027
11693
12010
11460
13299
12940
13351
13587
10414
11596
11741
10238
11395
12239
12206
12865
13795
13874
13501
14052
14739
15779
11038
11714
12108
11182
11626
12155
12392
12745
14855
14188
14813
14668
17830
17081
12596
11330
11466
11408
11520
12695
13538
13409
15099
16511
16805
17102
18813
19061
21156
20494
21417
22515
13337
12416
12506
12691
13115
12645
13188
15322
15195
16380
18146
18520
20620
21496
23749
22466
20755
19021
14533
13328
12416
12909
12619
14356
15023
15431
16268
16473
19653
20214
21543
25189
25445
23766
20684
21452
13858
12438
12200
12118
12833
14985
16095
16076
16944
17825
20860
20874
23192
25461
26407
26665
13554
12170
12181
12169
13531
14543
15706
16550
17669
19098
21575
22809
24657
27943
29300
27963
30135
13345
12179
13024
13020
14022
14816
14365
16083
16712
20134
21976
24363
27747
29027
30464
31103
31842
13479
12796
12627
13358
13889
13100
12734
14982
17613
20074
21558
24115
27926
28236
28640
28800
27262
54.3
53.5
54.2
0
0
0
1
99
17
13
6
10
38
30
55
137
273
260
244
40
53.4
18216
54.1
0
0
0
46
29
134
51
3
0
6
46
26
24
13
12
53.3
54
0
0
0
33
0
135
213
4
53.2
53.9
0
3
0
13
0
29
45
30
1
53.8
53.1
9
1
0
0
0
6
75
53.7
53
0
0
0
0
0
1
0
0
0
0
0
2
0
0
0
0
0
3
3
53.6
52.9
52.8
52.7
53.5
53.4
13797
Thornback Ray: Distribution of
DST geolocations by 10km square
12490
11465
12233
13177
13051
12898
15602
16668
17872
21037
25170
30211
31020
11783
11859
12141
12906
13152
14423
11726
11463
12139
11875
12333
12960
13378
0.00
0.00
0.01
0.01
0.01
0.02
0.02
0.02
0.00
0.00
0.00
0.01
0.01
0.01
0.01
0.01
0.02
0.02
0.03
0.00
0.00
0.00
0.00
0.00
0.01
0.01
0.01
0.01
0.02
0.02
0.03
0.04
0.00
0.00
0.01
0.01
0.01
0.01
0.02
0.01
0.02
0.02
0.03
0.04
0.05
0.07
0.08
0.00
0.01
0.01
0.01
0.01
0.01
0.02
0.02
0.02
0.03
0.03
0.04
0.06
0.07
0.10
0.12
0.15
0.17
0.01
0.01
0.01
0.02
0.02
0.02
0.02
0.03
0.03
0.04
0.04
0.05
0.07
0.09
0.12
0.15
0.21
0.20
0.01
0.01
0.02
0.02
0.02
0.03
0.04
0.04
0.04
0.05
0.06
0.07
0.10
0.12
0.15
0.17
0.20
0.19
0.02
0.02
0.02
0.03
0.04
0.04
0.05
0.06
0.06
0.07
0.08
0.10
0.13
0.18
0.21
0.24
13133
53.1
12306
11403
11749
11904
11686
11261
12018
12312
11130
11616
11957
11095
11543
11817
10991
9895
10264
11099
10748
11569
0.02
0.03
0.03
0.04
0.05
0.07
0.08
0.09
0.08
0.09
0.11
0.15
0.20
0.29
0.44
0.48
0.40
11228
12028
11522
11144
11093
10624
0.03
0.03
0.04
0.05
0.07
0.09
0.10
0.10
0.10
0.11
0.15
0.20
0.29
0.47
0.77
0.90
0.59
0.03
0.04
0.05
0.06
0.09
0.10
0.11
0.11
0.11
0.13
0.17
0.24
0.36
0.58
-190.91
0.89
0.66
0.03
0.04
0.05
0.08
0.10
0.13
0.14
0.13
0.12
0.13
0.18
0.24
0.33
0.44
0.52
0.03
0.04
0.05
0.07
0.09
0.14
0.16
0.13
0.03
0.04
0.05
0.06
0.08
0.11
0.13
0.13
0.03
0.03
0.04
0.05
0.06
0.08
0.09
0.02
0.03
0.03
0.04
0.04
0.05
0.06
0.02
0.02
0.02
0.03
0.03
0.03
0.02
0.02
0.02
0.03
0.03
0.03
53
52.9
Next steps…
•
Use shapefile data for habitats,
MREI areas and coastlines
•
Increase spatial resolution of grid
•
Stratify sampling by seasons and
habitats rather than individuals
•
Incorporate scenarios for
direction of fishing effort (VMS)
0.00
0.00
15224
53.2
12150
0.00
0.00
31532
53.3
13283
0.00
52.8
52.7
Distribution of fish-days (10,000
fish over 1 year after 10y burn-in)
0.11
Change in catch compared to no
closure
Module 5. Determining the social and economic costs and benefits
of ‘spillover’ from MREIs to inform marine spatial planning
decisions
• Fishing Vessel Monitoring System (VMS) data and
associated catch data over period 6-year period (2007
to 2012)
• This period spans:
WaveHub – deployment of special marks
defining working area
S Irish Sea – development of Gwynt-Y-Mor
windfarm
• Agreement with MMO over VMS data
Pathways to impact
• QBEX engagement: UK and French fishers
(commercial and recreational), regional fish
producers organisations, Natural Resources Wales,
Marine Management Organisation (MMO), APECS
(French Elasmobranch Association), RWE Npower,
members of the public
• MBA submission to Jun 2012 NERC Knowledge
Exchange call. Placed 11th, nine funded.
• Exeter U NERC KE impact accelerator grant:
Marine WebGIS data browser with information from
QBEX/PRIMaRE/SOWFIA.
Movie/Animation “Effects of marine renewable
energy at sea”. Jan 2014 storyboards being finalised.
Future plans
Cod locations (black dots)
Impacts of offshore wind farm sites on fish migratory
routes, site fidelity and behaviour
‘Before-and-after’ experiments
North Sea, Irish Sea, English Channel
Use improved tidal geolocation model (1km):
(1) Before MREI: Re-analyse Cefas electronic tag
data for cod, plaice and rays during late 1990s
and late 2000s
(2) After MREI: Re-deploy tags and reconstruct
present movement patterns
Determine differences in:
non-migratory space use including site fidelity during
feeding and spawning phases
the timing, speed and specific routes of migration
Thornback ray (blue,
movement; red, recaptures)
http://www.mba.ac.uk/simslab/QBEX

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