systemic analysis of lithuanian non
Transcription
systemic analysis of lithuanian non
ALEKSANDRAS STULGINSKIS UNIVERSITY EDITA ABALIKŠTIENĖ SYSTEMIC ANALYSIS OF LITHUANIAN NON-PRODUCTIVE LAND USE PLANNING Summary of the Doctoral Dissertation Technological sciences (T000) Environmental Engineering (04T) Akademija, 2013 The doctoral dissertation was prepared in 2008–2013 at Aleksandras Stulginskis University. Scientific supervisor: Prof. Dr. Audrius ALEKNAVIČIUS (Aleksandras Stulginskis University, Technological Sciences, Environmental Engineering, 04T) Scientific consultants: Prof. Dr. Pranas ALEKNAVIČIUS (Aleksandras Stulginskis University, Technological Sciences, Environmental Engineering, 04T) Assoc. Prof. Dr. Virginija GURSKIENĖ (Aleksandras Stulginskis University, Technological Sciences, Environmental Engineering, 04T) Council of the Environmental Engineering: Chairman: Prof. Dr. Arvydas POVILAITIS (Aleksandras Stulginskis Technological Sciences, Environmental Engineering, 04T) University, Members: Prof. Dr. Alvydas BALEŽENTIS (Mykolas Riomeris University, Social Sciences, Management, 03S) Prof. Dr. Violeta MAKAREVIČIENĖ (Aleksandras Stulginskis University, Technological Sciences, Environmental Engineering, 04T) Assoc. Prof. Dr. Antanas SAKALAUSKAS (Aleksandras Stulginskis University, Technological Sciences, Environmental Engineering, 04T) Prof. Habil. Dr. Vida STRAVINSKIENĖ (Vytautas Magnus University, Biomedical Sciences, Ecology and Environmental Protection, 03B) Opponents: Prof. Dr. Žaneta STASIŠKIENĖ (Kaunas University of Technology, Technological Sciences, Environmental Engineering, 04T) Prof. Habil. Dr. Saulius VAIKASAS (Aleksandras Stulginskis University, Technological Sciences, Environmental Engineering, 04T) The official defence of the dissertation will be held at the open session of the doctoral council at 10 a.m. on December 12, 2013 in the 211 room, 4 building of the Aleksandras Stulginskis University. Address: Aleksandras Stulginskis University, Universiteto g. 8A, LT-53361 Akademija Kauno r., Lithuania. The send out date of the Summary of the Dissertation is November 11, 2013. The Dissertation is available at the Library of Aleksandras Stulginskis University (Studentų str. 11, 53361 Akademija, Kauno dist., Lithuania); the Library of Kaunas University of Technology (K. Donelaičio str. 20, 44239 Kaunas, Lithuania) and the Library of Lithuanian Energy Institute (Breslaujos str. 3, 44403 Kaunas, Lithuania). ALEKSANDRO STULGINSKIO UNIVERSITETAS EDITA ABALIKŠTIENĖ LIETUVOS NENAŠIŲ ŽEMIŲ NAUDOJIMO PLANAVIMO SISTEMINĖ ANALIZĖ Daktaro disertacijos santrauka Technologijos mokslai (T000) Aplinkos inžinerija (04T) Akademija, 2013 Disertacija rengta 2008–2013 metais Aleksandro Stulginskio universitete Mokslinis vadovas: Prof. dr. Audrius ALEKNAVIČIUS (Aleksandro Stulginskio universitetas, technologijos mokslai, aplinkos inžinerija, 04T) Moksliniai konsultantai: Prof. dr. Pranas ALEKNAVIČIUS (Aleksandro Stulginskio universitetas, technologijos mokslai, aplinkos inžinerija, 04T) Doc. dr. Virginija GURSKIENĖ (Aleksandro Stulginskio universitetas, technologijos mokslai, aplinkos inžinerija, 04T) Aplinkos inžinerijos ir kraštotvarkos mokslo krypties taryba: Pirmininkas: Prof. dr. Arvydas POVILAITIS (Aleksandro technologijos mokslai, aplinkos inžinerija, 04T) Stulginskio universitetas, Nariai: Prof. dr. Alvydas BALEŽENTIS (Mykolo Riomerio universitetas, socialiniai mokslai, vadyba, 03S) Prof. dr. Violeta MAKAREVIČIENĖ (Aleksandro Stulginskio universitetas, technologijos mokslai, aplinkos inžinerija, 04T) Doc. dr. Antanas SAKALAUSKAS (Aleksandro Stulginskio universitetas, technologijos mokslai, aplinkos inžinerija, 04T) Prof. habil. dr. Vida STRAVINSKIENĖ (Vytauto Didžiojo Universitetas, biomedicinos mokslai, ekologija ir aplinkotyra, 03B) Oponentai : Prof. dr. Žaneta STASIŠKIENĖ (Kauno technologijos universitetas, technologijos mokslai, aplinkos inžinerija, 04T) Prof. habil. dr. Saulius VAIKASAS (Aleksandro Stulginskio universitetas, technologijos mokslai, aplinkos inžinerija, 04T) Disertacija bus ginama viešame Aplinkos inžinerijos krypties tarybos posėdyje 2013 m. gruodžio 12 d. 10 val. Aleksandro Stulginskio universiteto 4 rūmų posėdžių salėje (211 kabinetas). Adresas: Universiteto g. 8a, 53364 Akademija, Kauno r. Disertacijos santrauka išsiųsta 2013 m. lapkričio 11 d. Su disertacija galima susipažinti: Aleksandro Stulginskio universiteto bibliotekoje (Studentų g. 11, Akademijos mst., 53361 Kauno raj.), Kauno technologijos universiteto bibliotekoje (K. Donelaičio g. 20, 44239 Kaunas) ir Lietuvos energetikos instituto bibliotekoje (Breslaujos g. 3, 44403 Kaunas). 2 Relevance of the dissertation and theme issues Preservation and consumption of land appropriate for agriculture is a relevant objective on a worldwide scale. The specific problem lies in the fact that agricultural utilities is a limited and in practice non-renewable natural resource. Assuring rational consumption of land as a natural resource is a public interest, which must be guaranteed by the state constitution. The legal regulation stating that land plots, if they are attributed to land appropriate for agricultural activity, are used specifically for agriculture by their owners and (or) consumers must be accepted. On the basis of the regulation, legal acts foresee requirements for the consumption of agricultural and other land. Legal regulations in most cases can be realized only according to territory-planning documents, the land qualities of which are fully analysed and assessed as well as conditions of agricultural and other activity and development perspectives. When preparing territory-planning documents, the state of agricultural utilities can be changed according to the following principles: 1. Land use must be planned when giving priority to public interests. Interest of the society is preservation and improvement of land appropriate for agricultural and forest activity. 2. Natural (ecological) and farming systems must be combined and on this basis production development must be regulated legally and economically. 3. Agricultural people’s activity must be adjusted to real natural conditions so that the surroundings could change minimally. Locations, where due to low fertility of land agricultural activity is unprofitable and population density in rural areas is lower than the average of the country or vitality of rural communities is decreasing, are attributed to locations less favourable for farming. EU countries define the criteria themselves on the basis of which the land is attributed to non-productive land. With regard to this, municipalities, where the average land production was assessed by less than 37 production points (i.e. farming state of the soil was assessed in as much as sand or gravel soils or eroded soils are assessed), were selected as the research object. Lands of 18 municipalities out of 52 rural municipalities within the country were assessed by 37 points. In addition, such productivity lands appear in other 18 municipalities and 48 elderates. In the Republic of Lithuania the average score of land production is 41.8 whereas in separate elderates it ranges from 30.5 to 55.1. It determines different intensity of agricultural utility use and measures of the state support. In non-productive locations it is crucial to establish the most optimal way for using the land with regard to economic-social-environment protectiontechnological aspects. Defended theses: Systemic analysis of non-productive lands is the basis when performing the planning of rational use of non-productive lands. When preparing territory-planning documents, the planning of nonproductive lands can be determined by using the model of multi-criterial analysis. 3 Research object Non-productive agricultural land existing in rural municipalities of the Republic of Lithuania. Dissertation aim and objectives: Aim of the dissertation – to conduct systemic analysis of Lithuanian nonproductive land use planning and develop the model, defining directions of nonproductive land use. The following basic objectives are raised to achieve the aim: - to analyse identification of non-productive lands in Land Information System and territory-planning documents; - conduct the analysis of agricultural land in municipalities with prevailing non-productive lands; - conduct the research into the use of non-productive land for agriculture, forestry and alternative activity; - to conduct the survey of competent specialists by assessing the most appropriate non-productive land use planning; - develop rational identification of non-productive lands by using the mathematical model of multi-criterial analysis. Scientific novelty of the dissertation research and practical significance The main element of scientific novelty in the dissertation is the model of determining non-productive land use directions developed on the basis of multicriterial analysis analytic hierarchy process. Having processed the research and the competent specialists’ (experts) assessment data, concerning natural, organizational, and economic factors, the model of non-productive land use direction when planning perspectives of specific land plots and land holdings use in territory-planning documents, was developed. It is recommended to apply this model when undertaking measures and decisions, concerning non-productive land use planning. - When conducting systemic analysis of Lithuanian non-productive land use planning, the analysis of agricultural land use in non-productive regions on the basis of cartographic sources and recent statistical data was carried out. - In the dissertation the purposefulness of abandoned non-productive land plot use for agricultural or forest activity was determined. It is suggested before making a decision concerning rational use of non-productive land to compare soils and other land qualities as well as expenses devoted to territory-management, and to assess the production value that can be grown in one area unit. - In the dissertation expert assessment of minimum arable land plot parameters in non-productive lands is provided. - Practical significance of the scientific research paper is manifested by the fact that research results and conclusions can be applied: 1) For needs of territory-planning: - development of methodologies necessary for agrarian territory management planning; - determining regulations of agrarian territory management and use when preparing land management planning documents; 4 - planning of rational land use in general and special plans. 2) For subsequent development of scientific investigations. Work volume and structure The work is composed of the introduction, four body parts, conclusions, and recommendations as well as literature references. The text includes 42 tables, 34 pictures, and 5 annexes. The first section deals with scientific research on the issue of the dissertation. In addition, the analysis of legal acts is conducted. The second section introduces the methods employed in the dissertation. Systemic analysis of non-productive land use model is provided in section 3. The fourth section is intended for the development of the model for non-productive land use. On the basis of the research, conclusions and recommendations were formulated. The most significant problems of the dissertation are presented in two scientific publications. The results were also discussed in three scientific conferences. 1. SYSTEMIC ANALYSIS METHODOLOGY OF LITHUANIAN NON-PRODUCTIVE LAND USE PLANNING The methods of information search, systemising, analysis of cartographic material and statistical data as well as scientific and methodological literature analysis, comparative analysis, and generalization were employed to reach the aims and objectives of the dissertation. Multicriterial analysis method was used to analyse the opportunities of efficient non-productive land use. Systemic analysis was used in the dissertation because there is a lack of separate research methods for non-productive land use planning to analyse thoroughly and comprehensibly. The main data for the research was obtained in Lithuanian Department of Statistics, National Land Service under the Ministry of Agriculture, state enterprise State Land Fund, National Paying Agency under the Ministry of Agriculture, and state enterprise Register Centre. Cartographic data was used for analytic research and data bases, constituting Land Information System. In addition, the data of 13 specialists’ expertise survey was used. When analysing and assessing the optimal planning of non-productive land use, it is important to select the appropriate mathematical method, which can enable one to conduct a thorough and varied analysis as well as multicriterial comparison of choices. The only method of analytic hierarchy process (AHP) is based on the hierarchic structure of the proposition, which allows one to subdivide the problem under analysis into smaller and more evident parts and, thus, it is easier to analyse. The theory bases itself on natural human thinking. The more an expert is involved in the system analysed, the more precise the prognosis and decisions made are. The group of specialists was formed – the professionals of Rural Development Department under the Ministry of Agriculture, National Land Service under the Ministry of Agriculture, laboratory of Agrochemical Research Laboratory, Lithuanian Institute of Agriculture, Forestry Institute, Aleksandras Stulginskis University teachers, namely specialists of land management, reclamation, mechanization, forest management, agronomy. 5 During the assessment procedure, the experts take into consideration the following criteria – crop production, animal husbandry, natural farming, land use maintaining favourable condition of agricultural utilities and environment protection, forestry, alternative activity. Hierarchical list of assessment criteria (table 1) was compiled with regard to peculiarity of non-productive land. On the other hand, it can be also used as a base when defining the direction of various fertility land use, extending the list of criteria. Table 1. The list of hierarchical assessment criteria A 1 Average distance from the farm centre towards the fields A 1.1 up to 2 km A 1.2 2 – 5 km A 1.3 – 10 km A 1.4 > 10 km P 1 Area of agricultural utilities P 1.1 up to 2 ha P 1.3 5 – 10 ha P 1.5 20 – 40 ha P 1.2 2 – 5 ha P 1.4 10 – 20 ha P 1.6 > 40 ha I 1 Interrupted forests, shrubs, marshes, water pools I 1.1 up to 10 % I 1.3 20 – 30 % I 1.5 40 – 50 % I 1.2 10 – 20 % I 1.4 30 – 40 % I 1.6 > 50 % P 2 The percentage of meadows and pasture in agricultural utilities. P 2.1 up to 10 % P 2.3 20 – 30 % P 2.5 40 – 50 % P 2.2 10 – 20 % P 2.4 30 – 40 % P 2.6 > 50 % P 3 Size of arable land plot P 3.1 up to 1 ha P 3.3 2 – 3 ha P 3.5 5 – 10 ha P 3.2 1 – 2 ha P 3.4 3 – 5 ha P 3.6 > 10 ha G 1 The prevailing granulometric composition of soil G 1.1 sand G 1.3 Light loam G 1.5 peaty and humus soil G 1.2 sandy loam G 1.4 Medium and heavy loam R 1 Prevailing terrain relief R 1.1 plain R 1.3 valleys, creeks R 1.5 high-hilly R 1.2 undulating plain R 1.4 low-hilly B 1 Mean land productivity score B 1.1 up to 25 points B 1.3 31 – 35 points B 1.5 > 40 points B 1.2 26 – 30 points B 1.4 36 – 40 points K 1 Conditions of road access, when land holding is K 1.3 0.1– 0.3 km off the K 1.5 0.5 – 1.0 km off the K 1.1 near the paved road paved road paved road K 1.2 up to 0.1 km off the paved K 1.4 0.3 – 0.5 km off the K 1.6 > 1.0 km off the paved road paved road road U 1 Condition of homestead or outbuildings U 1.3 a homestead and U 1.5 a homestead and U 1.1 no buildings old outbuildings perspective outbuilding U 1.2 only homestead U 1.4 only perspective outbuilding(s) S 1 Conditions of special land use, forbidding or limiting one’s actions S 1.2 use of fertilizers S 1.3 cultivation of S 1.4 construction of S 1.1 land drainage and chemicals warehoused crop and cereal buildings M 1 Land reclamation state M 1.2 > 50 % of M 1.3 >50 % of M 1.4 > 50 % of M 1.1 > 50 % of wet reclamation structures reclamation structures in reclamation structures land undrained in the area are of poor the area are of satisfying in the area are of good condition condition condition D 1 Soil reaction (pH) D 1.1 neutral reaction D 1.2 low acidity D 1.3 average acidity D 1.4 high acidity (pH > 5,5) (pH 5.1– 5.5). (pH 4.6 – 5.0). (pH < 4,6). 6 The significance of criteria is determined during the expert assessment so that the direction of non-productive land use could be selected. The experts assess the factors at the values from 1 to 9. Having obtained the assessment of experts, significance of criterion is determined, i.e. how much criterion i is more significant than criterion j. The matrix of one expert’s pairwise comparison is calculated whereas the significance of each expert’s criteria is determined separately. Calculations are conducted by using MATLAB and MS EXEL software (Figure 1). Figure 1. Scheme of multicriterial proposition Having determined the significance of criteria using the AHP method, the initial matrix of decision-making, composed of six alternatives and thirteen their criteria is compiled. The decision is made with regard to each expert’s assessment. The assessment of alternatives provided by all experts and weights of alternatives defined by the interviewed expert’s criteria assessment mean are selected for the final decision. 2. SYSTEMIC ANALYSIS OF NON-PRODUCTIVE LAND USE PLANNING Tendencies of agricultural development in municipalities dominated by non-productive land. While conducting the research, municipalities containing non-productive land were divided into four groups. Group I includes 12 administration units of Eastern Lithuania, namely Molėtai, Utena, Zarasai, Ignalina, Trakai, Vilnius, Šalčininkai, Švenčionys, Varėna, Lazdijai districts as 7 well as Elektrėnai and Druskininkai municipalities. Group II contains 5 administration units of Western Lithuania (Šilutė, Šilalė, Telšiai, Plungė districts and Rietavas municipality). Comparison of statistic data of districts containing non-productive land with the remaining districts and municipalities of the country shows that non-productive land affects the structure of land utilities, size of land plots and farmstead as well as income obtained from agricultural activity (table 2). Table 2. Use of agricultural land with regard to land production In municipalities of In other In total in non-productive land Indices municipalities Lithuania Group I Group II Total Agricultural land area 01 01 2013, thousand ha 748.11 365.51 1113.62 2832.48 3946.10 Out of which – agricultural utilities 293.76 856.33 2497.88 3354.21 thousand ha 562.57 80.37 76.90 88.19 85.00 % 75.20 Out of which – declared in 2012 261.35 615.28 2167.70 2782.98 thousand ha 353.93 88.97 71.85 86.78 82.98 % 62.91 Average size of the land plot, ha: Total area 2.63 2.97 2.73 3.02 2.93 Agricultural utilities 2.06 2.50 2.20 2.64 2.52 Arable land 1.48 2.01 1.65 2.37 2.17 Average size of farmstead (area of agricultural utilities used by one farmstead) ha: - according to the data of 2010 8.2 11.3 9.2 16.6 13.8 Agricultural Census - according to 2012 Agricultural 10.06 12.84 11.09 20.77 17.43 Utility Declaration data - according to the data of 01 01 12.03 14.90 13.06 23.00 19.74 2013 land registration (only for farmers’ farmsteads) Total production of agriculture Total in 2011 mln. Lt 882.42 623.25 1505.67 6621.73 8127.40 1 ha of declared agricultural utilities, Lt for 2385 2495 2447 3055 2920 Out of which crop production Total in 2011, mln. Lt 383.98 301.12 685.10 4139.45 4824.55 1 ha of declared agricultural utilities, Lt for 1152 1085 1113 1910 1734 Source: Public enterprise Register Centre, National Paying Agency, Department of Statistics. Macrozoning data of the area of the republic of Lithuania allows one to make a conclusion that about 32 % agrarian areas have less favourable conditions for farming than other areas within the country due to non-productive land. They declare only 72 % of statistical agricultural utilities whereas in the remaining areas 8 they constitute 87 %. The average size of the land plot is smaller in 10–30 % while the mean size of the farmstead is twice smaller. Moreover, 40 % less crop production is gained for one area unit. In 2013 in municipalities where non-productive land prevails, agricultural land comprised 52.2 % of the total area, the forest land – 37.3 %, land of other purpose – 4.7 %, conservation land – 1.0 %; water management purpose land – 4.7 %, free state fund land – 0.1 %. In the remaining areas these indices constituted correspondingly 64.8; 26.5; 6.5; 0.5; 1.6 and 0.1. It is also manifested by the more extensive degree of territory use, which in municipalities containing non-productive land is 1.25 times lower than in municipalities dominated by more fertile soil. The assumption that more of the area in non-productive land municipalities is used for forest, conservation, and water purpose whereas urbanized territory is less developed, was tested by the analysis of state land fund registration analysis. In the process of territory-planning non-productive municipalities contain more land plots separated from agricultural purpose and legitimized for the use of water management and conservation. One can make a conclusion that land plots where intensive human activity is possible (agricultural and other purpose land), non-productive land decreased in 0.57 % per nine years while in other municipalities it decreased only in 0.09 %. Area of extensive farming (forest, water management, conservation purpose, and Free State fund land), on the contrary, increased in 1.07 % in non-productive land municipalities whereas only in 0.21 % in the remaining municipalities. It can also explain higher stability of land use in municipalities containing productive land. More intensive changes of land use take place in municipalities of non-productive land and, therefore, it is possible to plan controversy of higher scope for other activity direction and/or way of land use than that was before. More precise and detailed changes of territories used for agricultural activity, in Lithuania throughout the longer period can be determined on the basis of land fund registration according to land utilities. The comparison of changes in agricultural utilities of agricultural land according to the data of land registration was conducted. It is provided in table 3. Indices Source of data Statistical agricultural utilities. Area, thousand ha: 01 01 2004 01 01 2011 01 01 2013 Changes in 2004–2010 thousand ha % Changes in 2011–2012 m.: thousand ha % Public enterprise Register Centre Table 3. Changes in agricultural utilities of agricultural land in non-productive and other land municipalities in Lithuania during the period of 2003–2012 Municipalities dominated by non-productive land Group I Group II Total Other municipalities Total in Lithuania 613.11 608.21 608.58 295.53 296.39 293.76 908.64 904.60 902.34 2459.32 2456.01 2456.38 3367.96 3360.61 3358.72 - 4.90 - 0.8 + 0.86 + 2.9 - 4.04 - 0.41 - 3.31 - 0.13 - 7.35 - 0.22 + 0.37 + 0.06 - 2.63 - 0.89 - 2.26 - 0.25 + 0.37 + 0.02 -1.89 - 0.06 9 337.48 383.02 244.25 260.88 581.73 643.90 1909.22 2120.44 2490.95 2764.34 + 45.54 + 13.5 + 16.63 + 6.8 + 62.17 + 10.5 + 211.20 + 11.1 + 273.37 + 11.0 354.56 362.36 384.83 243.58 253.24 261.35 598.14 615.60 646.18 1986.70 2070.47 2137.10 2584.84 2686.07 2783.28 + 7.80 + 2.2 + 9.66 + 4.0 + 17.46 + 2.9 + 83.77 + 4.2 + 101.23 + 3.9 + 22.47 + 6.2 + 8.11 + 3.2 + 30.58 + 5.0 + 66.63 + 3.2 + 97.21 + 3.6 Natio nal Paying Agency Changes in 2004–2010 thousand ha proc. Changes in 2011–2012 thousand ha % Data of Agricultural Census 3 table continued Agricultural utilities used: Area, thousand ha: In 2003 In 2010 Changes in 2003–2010 thousand ha % Declared agricultural utilities Area, thousand ha: In 2004 In 2010 In 2004 the area of unexploited (abandoned) agricultural utilities in nonproductive land municipalities constituted on average 36 % of the total (statistical) agricultural utilities whereas in other municipalities it constituted 22 % while in 2011 it was correspondingly 29 % and 14 %. Changes of land use are related to the change in the number of agricultural activity subjects. The statistical data describing the change is provided in table 4. Table 4. Changes in the number of farms cultivating agricultural production in non-productive and other land municipalities in Lithuania during the period of 2003–2012 Indices Number of farms larger than 1 ha according to the data of Agricultural Census. In 2003 In 2010 Changes in 2003–2010: Number of farms % Number of farms declaring agricultural utilities and crop: In 2007 In 2012 Changes during 2007–2012: Number of farms % Non-productive land municipalities Group I Group II Total Other municipalities Total in Lithuania 57830 47227 27600 23203 85430 70430 186681 129483 272111 199913 -10603 -18.3 -4397 -15.9 -15000 -17.6 -57198 -30.6 - 72198 - 26.5 47705 36902 22922 20138 70627 57040 127067 100855 197694 157895 - 10803 -22.6 - 2784 -12.1 - 13587 -19.2 - 26212 -20.6 - 39799 - 20.1 Sources: Department of Statistics; National Paying Agency. The speed of farm decrease in non-productive land municipalities is slower in comparison with other rural areas. It can be related to the fact that farms are rapidly 10 becoming large-scale in more productive land municipalities, especially having made use of economic support by abandoning the productive agriculture market. Meanwhile in non-productive land municipalities, relatively more natural or half natural farms with traditional farming elements have survived. Half of all farms are small ones, which do not declare agricultural utilities and crop. The more significant changes occur in Group I (Eastern Lithuania) of non-productive land municipalities, where the more rapid ageing of village people and decrease in the population was observed. Intensity of non-productive land use. Impact of non-productive land on the land use intensity was analysed when comparing mean statistical indices of municipalities, which describe the relationship between land area and production (relative production of agricultural utilities). The research determined that the index of unused land in districts of northern Lithuania hilly uplands is 59 % higher than the average of Lithuania while the index of extensive farming is twice as big as the mean, i.t. 72.2 %. In the area of Western Lithuania highlands and plateaus the same tendency of extensive farming was identified as it is in North-East Lithuania (the index of extensive farming is 67.9). However, the index of unused land within the area is 32% lower than the mean in Lithuania. In South-East Lithuanian sandflats the index of extensive farming is 9% higher than the average whereas the one of unused land is twice as high. Regression analysis of land production and extensive farming index as well as score of unused land was conducted on the basis of the data (Figure 2). 60 y = -0,2185x + 49,435 R² = 0,6082 50 40 30 20 0 20 40 60 80 Productivity score Productivity score 60 y = -0,2365x + 44,792 R² = 0,3323 50 40 30 20 0 20 40 60 80 The index of unused lands The index of extensive land use Figure 2. Regression analysis of land production impact on land use in Lithuanian municipalities It was identified that the correlation coefficient between land production score and that of unused land was 0.58 while it is 0.57 between land production score and extensive farming. Structural changes of agricultural utilities and crop. On the basis of the research data, the conclusion is drawn that in non-productive land municipalities, especially in South-East Lithuanian sandflats (group I), more cereals are produced while in municipalities of Western Lithuania (group II) more herbaceous, feeding plants are cultivated. It manifests that it is essential to differentiate territory 11 management planning and financial support for the farming activity of priority in non-productive land municipalities with regard to different farming conditions. A more thorough analysis of municipality indices allowed us to estimate that there was the decrease in the crop area, corresponding to soil qualities. For instance, cereal such as winter rye, oat, buckwheat, and lupine are common in the land of light granulometric composition. In 2004 they composed 52 % of cereal area in non-productive land while in 2012 the number was 33 %. In 2004 winter rye, oat, buckwheat, and lupine constituted 24 % in non-productive land of group II whereas there were 17 % of the cereal area in 2012. The decline of the area for appropriate plants shows the refusal of crop-growing persons to cultivate appropriate cultures. Such a decision can be affected by the amount of the support provided. To be more exact, the payment of the same size, namely 413 Lt/ha (the data of 2012) is provided for management of both meadows and crop. It was identified that non-productive land is more abandoned. More herbaceous plants are grown there and, thus, farming is less intensive that in the regions prevailed by more productive land. So that non-productive land could be used for agricultural activity more reasonably, it is advisable: - to promote the differential use of abandoned land for crop by state economic measures; to be more exact, for those pursuing agricultural activity in nonproductive land, the support must exceed that in productive land regions; - the relationship between arable land (areas used for crop) and land areas, used for haying and pasturing in non-productive regions and locations is supposed to be optimized while preparing land use planning documents. It is advisable to leave the area for meadows and pasturing, which, due to natural qualities (relief, soil type, excessive moisture) are more suitable for herbaceous plants than annual crop as well as the other existing pastures, essential for domestic animals’ supply with food in farms according to standards. Scopal changes of total forest area and cultivation in agricultural utilities. In municipalities dominated by non-productive land, where the forests situated in agricultural land constitute 9 % of the area, a relatively higher increase of the forest area is noticed than in other municipalities where the forest coverage of agrarian areas (on average 3.7 %) is reasonable to be increased for the variety of landscape. Therefore, it is crucial to regulate forest arrangement, especially when it is related to the reduction of agricultural utilities, by preparing territory planning documents. From 2004 to 2009 land management schemes of forest arrangement were developed for all rural municipalities within the country. Having analysed the schemes, it was determined that if a forest is cultivated in the areas marked in schemes, the newly cultivated forest would occupy the area of 179700 ha in nonproductive land municipalities of group I or 22 % of the agricultural land area. In schemes of group II it is allowed to cultivate forests within the area of 87264 ha, which constitutes 24 % of agricultural land. The 493582 ha or 18 % of agricultural land was marked in forest cultivation schemes of other municipalities. Forest arrangement schemes foresee the possibility to use 11.6 % of all Lithuanian area 12 for newly cultivated forests and, therefore, in such a case 44 % of the area in Lithuania would be composed of forests, which is unreal and not valid from agricultural development point of view. Therefore, the use of non-productive land for forest activity in non-productive land municipalities must be limited, having a scientific basis for their arrangement, especially in municipalities of group I, where the forest coverage is 33 % higher than the average of Lithuania. The subsequent increase of forests in agricultural land can be planned under the guidance of harmonic development principles and scientific recommendations for formation of rural cultural landscape. Perspectives of appropriate non-productive land use. The analysis of reasonable non-productive land use allows us to state the main methodological principles for the change of existing land use state, which can be employed: - when preparing territory-planning documents, which predict the change of land utility composition (first of all, transforming agricultural utilities into other utilities as well as transforming other land utilities and abandoned land into arable land, agricultural meadows, or forest (forest land)); - by optimizing the support for subjects of agricultural activity, which would induce one to use land by assessing its natural and farming qualities; - when planning perspectives of distinct agricultural land users’ activity; - when planning the funding for draining reclamation, other work of land improvement, and infrastructural equipment; - while giving a permit to cultivate forest in agricultural utilities. One of the more significant principles when determining perspectives of nonproductive land use is assessing the possibilities to realize the predicted changes and measures. The second principle is the balance of all interested people’s suggestions and demands. In order to thoroughly analyse the perspectives and development of agrarian territory containing non-productive land, different chapters discuss: 1) the assessment of soil qualities and preservation of natural landscape; 2) the assessment if the arable land plot is appropriate for mechanized agriculture and access roads; 3) application of multicriterial analysis module so as to analyse the impact of factor complex while planning alternative directions of land use and activity. Changes of land use in cartographic material. Having conducted the analysis of land use plan fragments in five selected areas, it was defined that land is abandoned mostly in land area, where non-productive land or hilly relief prevails. 27.3 % of former agricultural utilities are not used although they have road access whereas soil is of mean farming value. Therefore, it is advisable to use the land upon the purpose. Having improved conditions of land use, about 44 % of abandoned agricultural utilities can be transferred to intensive farming. Methodological principles for land use planning. While preparing documents of agrarian territory-planning, the procedure, which would allow using a more thorough assessment of the present state and soil examination material, is suggested. It includes the following information: 13 1. Defining where and for what reasons former agricultural utilities have changed – their area has transformed into forests, shrub and tree greeneries, marshes, other unused land or is not used to grow production (in bare fallow, is abandoned). The results of the analysis must be marked by conventional signs in cartographic material. 2. While compiling the drawing of planning document solutions, the areas (abandoned or changed) are defined, recommended for the certain directions of use: 1) for arable land – land plots or their parts, the soil of which is suitable for cultivation of annual plant crops. Only the land plots smaller than 0.5 ha can be an exception, not used due to straightening of land plot boundaries as well as forest spontaneously growing plantations in the abandoned land, which, while pursuing forest management were inventoried and registered as forest (forest land); 2) for agricultural meadows – land plots or their parts, where formerly, having undertaken a complex of essential reclamation measures, agricultural meadows were established or these are the areas of drained peaty and humus soils larger than 0.5 ha or the land area with eroded soils in hills and valleys, the slope inclination of which exceeds 5–7°. Agricultural meadows can also be established in small plots of currently or formerly arable land, which, due to its small size is not appropriate to be used for mechanical cultivation from economic point of view or the access roads cannot be improved for the same reason. Only abandoned land plots overgrown with shrubs containing drainage systems of poor or satisfying condition, where it is not efficient to use machinery for cultivation of agricultural meadows and exploitation, can be an exemption; 3) on the basis of the current state, for natural land utilities, the remaining area of former agricultural utilities, overgrown with shrubs and trees, or having changed into marshes or water pools. Natural meadows and pastures, which must not be drained, ploughed, or the state of which and composition of herbs cannot be changed in some other ways, are also attributed to the areas; 4) for cultivation of forest and field protective tree and shrub greeneries – the remaining area of unused (abandoned) agricultural utilities, the cultivation by forest of which is not against the law. 3. When planning transformation of agricultural utilities, to assess the possibility to realize changes mentioned in section 2 by land users themselves or when pursuing the foreseen drainage reconstruction work in reclamation projects. It is also crucial to assess ecological variety of landscape and identify greeneries, which have the significance of soil preservation or are valuable from ecological point of view, to be protected. The remaining insignificant tree and shrub greeneries in pursued reclamation projects, land area having changed into marsh or unused plot situated in soil suitable for agricultural plants, can be transformed into agricultural utilities. 4. Having completed the actions provided in sections 2 and 3, it is crucial to analyse the current possibilities and to cultivate non-productive agricultural utilities with the forest. While preparing methodological recommendations, it is 14 advisable to use the suggestions of the performed scientific research concerning perspectives of land use. On the basis of the suggestions new forests in agricultural utilities in use can be designed only if it is reasonable with regard to rural cultural landscape formation under the guidance of the main regulations and requirements, concerning the increase of Lithuanian forest coverage approved by the law No 240/324 of 29/07/1999 of the Ministers of Environment and Agriculture. Economic basis of arable land transfer to cultivation by forest. When applying methodological principles for the design of forest plots in formerly cultivated land, currently used or potential to be used for grain and other crops, it is recommended to perform calculations, which would allow one to compare the value of grown (possible to grow) production of agriculture or the main farming forest production (timber). One can make an assumption that it is reasonable to cultivate forests in agricultural utilities only if the mean annual value of the grown timber (table 5) is higher than the mean annual standard value of crop production (table 6). Table 5. Calculations of the main forest production, grown in the area of 1 ha per year, value Stand of trees Pine Bulk assessment Indices Mature stand Transitional consumption Total: Fir Mature stand grove Transitional consumption Total: Birch Mature stand grove Transitional consumption Total: Black Mature stand alder Transitional consumption Total: Total (on average): 315 143 Amount Increase of stand Increase Age of in value in the in forest deforestation per year forest value year Lt/ha Lt structure Lt/ha % 45045 101 x x x 252 567 317 38 x 140 9576 54621 44380 x x 71 x 541 x x 40 x x 216 x 254 571 232 27 x 150 6847 51227 34800 x x 61 x 722 x x 20 x x 144 x 186 418 300 34 x 139 6324 41124 41700 x x 61 x 674 x x 30 x x 202 x 240 540 x 13 x x 3120 44820 x x x x x 735 x x 10 100 x 74 636 Stand volume m3/ha Lt/m3 Having added 10 % of the value due to the possible error while identifying the correlation between species of trees and timber bulk, we find out that the efficiency of land use while growing a forest constitutes 700 Lt/ha a year. 15 Table 6. Calculations of agricultural production grown in 1 ha of non-productive land Value according to Actually achieved Standard prices fertility approved in 2012 Indices In the Standard fertility Lt/t calculation value t/ha area Lt/ha Lt/ha I. Crop structure in crop rotation adjusted to extensive farming Winter rye 10 2.14 410* 87.7 3.0 123.0 Summer barley 10 2.20 464* 102.1 3.5 162.4 Oat 10 1.85 410* 75.8 2.0 82.0 Mixture of cereals 5 2.24 389* 43.6 2.5 48.6 Buckwheat 5 0.76 1188* 45.1 1.0 59.4 Perennial grasses 60 2.77 250 415.5 3.5 525.0 (hay) Total: 100 x x 769.8 x 1000.4 For one producx x x 20.8 x 27.0 tivity score Productivity score, when the value of production is 33.7 x 25.9 700 Lt/ha II. Meadowed plots of formerly arable land or agricultural pastures Perennial grasses 50 2.77 250 346.2 3.5 437.5 (hay) Agricultural 50 2.37 250 296.3 3.5 437.5 pasture (hay) Total: 100 x x 642.5 x 875.0 For one productix x x 17.4 x 23.65 vity score Productivity score, when the value of production is 40.2 x 29.6 700 Lt/ha Remarks: * value calculated including that of straw (8 % of the grain value) ** arithmetic mean of indices in Alytus, Telšiai, Utena, and Vilnius counties Source: Department of Statistics % of crop in the structure Average production 2008 – 2012 t/ha** When preparing or discussing proposals, concerning the use of specific agricultural utility plots for forest cultivation, calculations, which would assess the present and potential production of agricultural plants, corresponding to soil qualities, are supposed to be performed. If the real possible value of agricultural production in these plots exceeds 700 Lt/ha, then their transfer to forest cultivation is not reasonable. In most cases, these can be plots of arable land currently or formerly used for crop, though at present abandoned, the production point of which exceeds 26. Identifying the expenditure for drainage system reconstruction and culturo-technical work. In order to improve the condition of reclamation structures and to provide more favourable conditions for agricultural activity within the area of agricultural utilities, it is appropriate to reconstruct reclamation structures. The average price of drainage system reconstruction is 9455 Lt. If the 16 abandoned land can be transformed to agricultural activity only by destroying growing shrubs and trees, the price of one hectare work is 5640 Lt. When the work is large-scale and the trump of grown-up trees must be removed, this price can reach 11 000 Lt/ha. It was determined that it is appropriate to pursue reclamation work in formerly cultural agricultural utilities if the expenditure for work pays off in at least 15 years. Assessment of appropriateness of arable land plots for mechanized agriculture as well as their arrangement and access road condition. Conditions for mechanized agriculture carry huge significance for planning the use of agricultural utilities, especially arable land in a certain season (road condition). Methodological requirements for appropriate land use planning, predicting improvement of used and abandoned agricultural utilities or transforming them into other kinds of agricultural utilities, must involve not only the assessment of soil qualities but also the economic basis of agricultural production organization, expenses for growing agricultural plants, transport expenditures and expenses for road improvement. Efficiency of land use can be increased connecting land plots or rearranging their boundaries so that the length of the plot (work bar) could prolong and the shape of the plot could improve. While preparing such rearrangement of land use predicting territory-planning documents, design solutions must be based economically by providing calculations of agricultural plant growing for an area unit. It was determined that having increased the land plot (work plot) of arable land in one hectare, standard expenses of mechanized crop production work (work costs) would decrease up to 10 Lt/ha. Having performed calculations, it was determined that even in non-productive land, where crop and corresponding technical and cumulative plants (with regard to mechanized work, fertilizing, and land work requirements) occupy about 40 % of used agricultural utilities, enlargement of small land plots would allow one to reduce direct expenditures (the cost of agricultural plant cultivation) on average from 6 Lt/ha to 7.8 Lt/ha when calculating for each hectare of plot enlargement. In such a case, if after rearrangement of land plots, the average plot size would increase from 2 ha to 8 ha, the economy of expenses would increase up to 48–62 Lt/ha. It was defined that on farms, which grow 40–45 % of crop and 55–60 % of perennial grass, meadows, and pastures, the average transport expenditures make up 45 45 Lt/ha, if calculated for 1 km of the road. On the other hand, having improved the condition of access roads, the expenditure can be reduced up to 25 Lt/ha. Standard expenses constitute 25924 Lt for road construction and 14744 Lt for repair for 100 meters of the road (the width of carriageway being 5.5 m; one traffic lane – 3 m, the pavement of sand-gravel). The prices are corrected taking into consideration local conditions. Having identified the network of roads, necessary for inhabitants’ needs and agricultural production, preliminary expenses for repair of local roads or construction of new roads must be determined in territory-planning documents. It is related to general management of agrarian territories and costs of agricultural 17 plant cultivation. Comparison of expenses while preparing options for perspective use of agricultural utilities would enable one to deal with issues concerning territory management of agricultural meadows and pasture arrangement (in the areas where there are no paved roads or the equipment is economically inappropriate) as well as land plots, which need denser road network: crop rotation including arrangement of fields for cereal, potato, technical plant cultivation, preservation of homesteads and other objects as well as new construction. 3. PLANNING THE USE OF AGRARIAN TERRITORIES, CONTAINING NON-PRODUCTIVE LAND 3.1 Multicriterial analysis of Lithuanian non-productive land use planning The dissertation employs mathematical method of multicriterial analysis, allowing one to predict the possibilities of non-productive land use in a probability way, helping conduct complex analysis of alternatives and make a decision. Multicriterial analysis is conducted on the basis of expert survey data. According to multicriterial AHP method, alternatives of land use direction in Lazdijai district, Šadžiūnai village unused land plots (Figure 3) were calculated. Figure 3. Unused plots in Lazdijai district, Šadžiūnai village In order to determine recommendation trends for land plot using, while making calculations using AHP method, alternative weights for each plot (Figure 4) are calculated under the assessment of each expert. One unused plot is next to the road, at the distance from the village of 1 km and contains interrupted shrubs and meadows. On the basis of spatial data sets, provided on www.zis.lt website, 18 granulometric composition, state of reclamation equipment, and other significant indices are determined. The scores of production, relief, and distance to the roads are identified in cartographic material. Figure 4. Identifying the direction of plot use on the basis of expert 1 assessment Using the same model, all experts’ alternative weights for a plot are calculated. Having determined the alternative of the first plot use, alternative weights of unused plots in Šadžiūnai village are calculated (table 7). As one can see from the mean indices of the expert assessment, introduced in table 7, 6 plots out of the eight analysed are appropriate for retaining good agrarian environment-protection state while 2 of the plots could be used for natural farming. It is reasonable to guide one’s activity upon the solutions while preparing the document of territory-planning of a location, predicting the perspectives of territory management and land improvement. 19 Table 7. The perspective analysis, concerning the consumption of unused agricultural utility plots according to expert assessment data. Perspectives for consumption of unused plots of agricultural utilities (the mean of expert assessment) Crop production Animal husbandry Natural farming Maintaining favourable agrarian environment protection land condition Forestry Other activity Alternative weights of using land plots No/ in Šadžiūnai village 1 2 3 4 5 6 7 8 0.1492 0.1418 0.1501 0.1556 0.1661 0.1547 0.1641 0.1378 0.1705 0.1709 0.1758 0.1760 0.1765 0.1740 0.1780 0.1510 0.1736 0.1688 0.1755 0.1725 0.1709 0.1811 0.1850 0.1675 0.1834 0.1854 0.1837 0.1857 0.1782 0.1778 0.1681 0.1832 0.1629 0.1604 0.1703 0.1586 0.1628 0.1563 0.1579 0.1523 0.1577 0.1527 0.1506 0.1597 0.1429 0.1619 0.1804 0.1801 Results of multicriterial solution must be used as recommendation ones when making the final decision. Assessing the results, the differences of using alternatives are estimated as well. For instance, using the alternatives of one expert for the first plot to apply the direction of animal husbandry – 0.1984 and natural farming – 0.1968 differ only in 0.0016. The smaller the difference between the alternatives proposed, the more cautious a person while making the final decision must be. When selecting the direction of using, the opinion of all experts is provided separately so that when estimating the results, various alternatives could be compared. Arithmetic mean of all expert survey results could be used for the rapid decision-making and, thus, the land use can be modelled only once. 3.2. Suggestions for marking non-productive lands in territory-planning documents Having conducted identification analysis of non-productive land, it is suggested to outline the following requirements when preparing sub-statutory legal acts: 1. When compiling the projects of rural development land management, documents of territory-planning, land management schemes, before designing using the sets of spatial data, one is supposed to distinguish non-productive areas. Non-productive land areas are not suitable for growing market production and, therefore, they must be separated and, while preparing the projects, the decision appropriate for optimal non-productive land use, based on economic, ecological, social, technological aspects must be made. 20 2. In complex plans, it is appropriate to mark land plots of agricultural purpose, which can be used for the activity other than agriculture only under conditions defined by legal acts (according to the scale of the plan prepared, separating the arable land, agricultural meadows and land area with reclamation equipment) as well as non-productive land plots (if the complex plan excludes these requirements, it will not be possible to realise the policy of Land law and other legal acts, concerning preservation of land area containing productive soil or drainage systems or, due to conditions of agricultural utility area and fertile soil reduction). Moreover, when a complex plan provides a possibility to reduce productive agricultural utility areas on the basis of conditions defined by legal acts, realization of plan solutions is possible only for the organizer of planning, land owner, or user of state land, having satisfied the requirements stated in legal acts and decision, concerning the plan approval. 3. Precise methodical regulations are crucial for the preparation of land management planning documents and other special plans. They could help when forming enduring elements of rural landscape, namely the arrangement of built areas and road network, boundaries of arable land fields and plots, arrangement of forest plots and natural land utilities, change of land utility kinds and contour boundaries when reclamation construction and forest cultivation are performed. It is especially important to introduce the requirements in detail (out of which – the ones for the use of non-productive land), when realising: - area zoning foreseen in the content of land management scheme works, according to directions of economic activity, best corresponding to natural and economic conditions of a location, predicting the territories to be used for agricultural activity, the ones unfavourable for farming and territories where it is reasonable to cultivate the land by forest; - the planned landscape formation measures as well as soil protection and improvement tools of agricultural utilities provided in the content of rural development land management project works. 21 CONCLUSIONS AND RECOMMENDATIONS 1. 2. 3. 4. 5. 6. The systemic analysis of non-productive lands is conducted by assessing: the identification of non-productive lands in standard documents; by performing the analysis of statistical, spatial and cartographic data; by assessing the direction of Lithuanian non-productive land use with regard to natural, social, economic and technological aspects; by conducting expert surveying; by developing the model of non-productive land use planning on the basis of multi-criterial analysis method. Having conducted the analysis of theoretical research, it was determined that the concept ‘non-productive land‘ is not defined in Lithuanian legal acts. The following definition of the areas analysed in the dissertation was formulated: The agricultural utility containing prevailing sand or eroded soils, where cultivation of market agriculture plants is economically efficient only if supported by state measures, is considered non-productive. The analysis of statistical data manifested that the index of lands not used for agricultural activity in North-East Lithuanian hilly upland districts is 59 % higher than the average of Lithuania. The extensive index of land use is twice higher than the average. The index of extensive land use in Western Lithuanian uplands and plateaus areas is 67.9 whereas the index of unused lands in the area is 32 % lower than the average of Lithuania. The unit of nonproductive land area cultivates 40 % less of crop production. Purposefulness of abandoned land plots for agricultural, forest, or other activity in non-productive and other lands is considered only having performed economic calculations, which allow one to compare expenses for territory-management work and the production value possible to grow in one area unit. According to the research data, agricultural utilities are reasonable to preserve or restore only when the annual value of grown crop production is not lower than 700 Lt/ha, i.e. when it exceeds the average value of the annual main forest production (timber). The efficiency of extensively used agricultural utility plots can be increased by having enlarged land plots, improved their reclamation state and shortened the distances from farming centres. Having increased the average area of arable land from 2 ha to 10 ha, the costs of mechanized agricultural plant cultivation can be reduced in 48–62 Lt/ha. Having decreased the average comparative distance to the fields in 1 km, the costs of transport can be reduced 25– 45 Lt/ha per year. It is reasonable to pursue reclamation in formerly domesticated agricultural utilities if the expenses for work pay off no later than in 15 years. No requirements for the minimum land plots are set for agricultural land. The main recommended parameters of the minimum size arable land plots defined according to the expert assessment data are as follows: the minimum land plot width 47–73 m, length – 97–150 m. The minimum plot area 0.5–1.1 ha. 22 7. 8. 9. 10. 11. The main outcome of the work is the developed model of non-productive land use planning, the purpose of which, when preparing territory-planning documents, is to make solutions concerning the planning of non-productive agricultural utility plots. The model can be applied if requirements for land use are not regulated by legal acts. In order to determine alternatives of nonproductive land use, the assessment was performed in several aspects: the expert survey to define criteria was performed; having developed the survey questionnaire, competent specialists of land management, forest management, hydraulic engineering, and agronomy were interviewed. The simplified system of data processing in MS Excel software was developed for practical application of the method. The model for non-productive land use was developed. However, it can be applied as the basis for planning the use of other abandoned agricultural land in Lithuania. The planning of non-productive land is based on the experts’ attitude towards the defined parameters. Participation of interested parties in the process of decision making helps avoid bias and non-productive land use planning is likely to allow one to motivate better the provided arguments as well as make complex balanced decisions when assessing the recommendations. When preparing the projects of rural development land management and territory-planning documents as well as land management schemes, it is recommended before designing, using spatial data sets, to distinguish areas of non-productive agricultural lands. It is recommended that support measures for agricultural and rural development should be based on decisions defined in territory-planning documents for elderate territorial parts, farms, or separate locations concerning farming direction, improvement of land reclamation state, road and other infrastructure objects as well as forest cultivation. It is recommended for legal and methodical regulations of territory-planning documents to include the following: - standards and requirements regulating establishment of agricultural utility improvement possibilities and scope, minimum parameters of the formed land plot cultivated in a mechanized way as well as the criteria of forest, tree, shrubs, marshes, and other natural landscape element arrangement (the minimum percentage in the agrarian area or minimum indices of ecological variety); - requirements in the prepared territory-planning documents to provide economic basis for suggested employment of abandoned agricultural utility plots for agricultural or forest management activity. 23 LIST OF PUBLICATIONS Publication in reviewed scientific Journals, referred in other databases Abalikštienė, E., Aleknavičius, P. Žemės ūkio paskirties žemės naudojimo tendencijos savivaldybėse su vyraujančiomis nenašiomis žemėmis. Žemės ūkio mokslai. 2013, T. 20, Nr. 3, p. 133–148. ISSN 1390-0200. Abalikštienė, E. Analysis of Free States Land in the Republic of Lithuania. Land Surveyng and Land Management: transactions of the Estonian university of life sciences. 2009, Vol. 225, p. 20–28. ISSN 1736-8375. Other reviewed scientific publications Abalikštienė, E., Stravinskienė, V. Land use analysis in southeastern Lithuania. Rural Development 2011. Proceedings of the International Scientific conference. Akademija, 2011, p. 372–377. ISSN 1822-3230. Stravinskiene, V., Bajarunaite, A., Abalikstiene, E., Baliavicius, G. Ecological farming in Lithuania. Baltic surveying’11. Proceedings of the International Scientific conference. Jelgava, 2011, p. 138-145. ISSN 2243-5999. Abalikštienė, E. Analysis of free state land in Kaunas county. Rural Development 2009: proceedings of the fourth international scientific conference, October 15–17, 2009, Lithuanian university of agriculture. 2009, Vol. 4, book 2, p. 95–98. ISSN 1822-3230. ABOUT THE AUTHOR Edita Abalikštienė was born in 1980 on the 19th of June in Rokiškis district. In 1998 she graduated from Rokiškis J. Tumas-Vaižgantas secondary school. In 2002 she gained BA degree in Land Management in Lithuanian University of Agriculture, Faculty of Water and Land Management. In 2002–2005 Edita studied in the same university and gained MA degree in Landscape management. Contacts: e-mail: [email protected] 24 LIETUVOS NENAŠIŲ ŽEMIŲ NAUDOJIMO PLANAVIMO SISTEMINĖ ANALIZĖ REZIUMĖ Disertacijoje pateikiamas Lietuvos nenašių žemių naudojimo planavimas. Naudojimo planavimas atliekamas įvertinant įvairius faktorius – atliekama sisteminė žemės naudojimo planavimo analizė. Analizuojami statistiniai, kartografiniai, erdvinių duomenų rinkinių ir ekspertų apklausos duomenys. Darbo tikslas ir uždaviniai Darbo tikslas – atlikti Lietuvos nenašių žemių naudojimo planavimo sisteminę analizę ir parengti nenašių žemių naudojimo krypties nustatymo modelį. Darbo tikslui pasiekti, atliekant sisteminę analizę, sprendžiami šie pagrindiniai uždaviniai: - išanalizuoti nenašių žemių identifikavimą Žemės informacinėje sistemoje ir teritorijų planavimo dokumentuose; - atlikti žemės ūkio paskirties žemės analizę savivaldybėse su vyraujančiomis nenašiomis žemėmis; - atlikti nenašių žemių naudojimo žemės ūkio veiklai, miškų ūkio veiklai ir alternatyviai veiklai tyrimus; - atlikti kompetentingų specialistų apklausą įvertinant nenašių žemių naudojimo planavimą; - parengti nenašių žemių racionalaus naudojimo nustatymą naudojant daugiakriterinės analizės matematinį metodą. Darbo mokslinis naujumas ir praktinė svarba. Pagrindinis disertacijos mokslinio naujumo elementas – daugiakriterinės analizės analitinio hierarchijos proceso modeliu parengtas nenašių žemių naudojimo krypties nustatymo modelis. Matematiškai apdorojus tyrimus ir kompetentingų specialistų (ekspertų) atlikto gamtinių, organizacinių ir ekonominių veiksnių įvertinimo duomenis, parengtas nenašių žemių naudojimo krypties nustatymo modelis planuojant konkrečių žemės sklypų ir žemės valdų naudojimo perspektyvas teritorijų planavimo dokumentuose. Šį modelį rekomenduojama taikyti priimant priemones bei sprendimus nenašių žemių naudojimo planavimui. - Atliekant Lietuvos nenašių žemių naudojimo planavimo sisteminę analizę atlikta nenašių regionų žemės ūkio paskirties žemės naudojimo analizė, remiantis kartografiniais šaltiniais ir naujausiais statistiniais duomenimis. - Šiame darbe nustatytas apleistų nenašių žemės sklypų naudojimo žemės ūkio ar miškų ūkio veiklai tikslingumas. Siūloma prieš priimant sprendimą dėl nenašių žemių racionalaus naudojimo palyginti dirvožemius ir kitas žemės savybes, išlaidas teritorijos tvarkymo darbams ir įvertinti iš ploto vieneto galimos išauginti produkcijos vertę. - Disertacijoje pateiktas ekspertinis minimalių ariamosios žemės sklypo parametrų nenašiose žemėse įvertinimas. - Mokslinio darbo praktinė svarba pasireiškia tuo, kad mokslinio darbo rezultatai ir išvados gali būti pritaikyti: 25 1) Teritorijų planavimo reikmėms: - metodikų, reikalingų agrarinių teritorijų tvarkymo planavimui, parengimui; - agrarinių teritorijų tvarkymo ir naudojimo reglamentų nustatymui rengiant žemėtvarkos planavimo dokumentus; - racionalaus žemės naudojimo planavimui bendruosiuose ir specialiuosiuose planuose. 2) Mokslinio ištirtumo tolesniam vystymui. IŠVADOS IR REKOMENDACIJOS 1. Nenašių žemių sisteminė analizė atliekama įvertinant: nenašių žemių identifikavimą norminiuose dokumentuose; atliekant statistinių, erdvinių ir kartografinių duomenų analizę; įvertinant Lietuvos nenašių žemių naudojimo kryptį atsižvelgiant į gamtinius, socialinius, ekonominius ir technologinius aspektus; atliekant ekspertų apklausą; daugiakriterinės analizės metodu parengiant nenašių žemių naudojimo planavimo modelį. 2. Atlikus teorinių tyrimų analizę nustatyta, kad sąvoka „nenaši žemė“ nėra apibrėžta Lietuvoje galiojančiuose teisės aktuose. Suformuluotas disertacijoje nagrinėjamų teritorijų apibūdinimas: nenašiomis žemėmis laikomos žemės ūkio naudmenos su smėlio ir nuardytais dirvožemiais, kuriose prekinių žemės ūkio augalų auginimas ekonomiškai efektyvus tik esant valstybės paramos priemonėms. 3. Statistinių duomenų analizė parodė, kad Šiaurės rytų Lietuvos kalvotųjų aukštumų agroūkinei zonai rajonuose nepanaudotų žemių rodiklis yra 59 proc. didesnis nei vidutiniškai Lietuvoje, ekstensyvaus žemės naudojimo rodiklis – du kartus didesnis už vidutinį. Vakarų Lietuvos aukštumų ir plynaukščių zonoje ekstensyvaus žemės naudojimo rodiklis – 67,9, nepanaudotų žemių rodiklis šioje zonoje – 32 proc. mažesnis už vidutinį Lietuvoje. Nenašių žemių ploto vienetui tenka 40 proc. mažiau augalininkystės produkcijos. 4. Apleistos žemės sklypų naudojimo žemės ūkio ar miškų ūkio veiklai tikslingumas spręstinas atlikus ekonominius skaičiavimus, kurie leidžia palyginti išlaidas teritorijos tvarkymo darbams ir iš ploto vieneto galimos išauginti produkcijos vertę. Tyrimo duomenimis žemės ūkio naudmenas tikslinga išsaugoti ar atkurti tuomet, kai metinė išauginamos augalininkystės produkcijos vertė yra ne mažesnė kaip 700 Lt/ha, t. y., kai ji didesnė už vidutinę metinę išauginamos pagrindinės miškų ūkio produkcijos (medienos) vertę. 5. Ekstensyviai naudojamų žemės ūkio naudmenų sklypų naudojimo efektyvumą galima padidinti sustambinus žemės sklypus, pagerinus jų melioracinę būklę ir sumažinus atstumus privažiavimui iš ūkinių centrų. Padidinus vidutinį ariamosios žemės darbo sklypo plotą nuo 2 ha iki 10 ha, mechanizuotų žemės ūkio augalų auginimo darbų savikainą galima sumažinti 48–62 Lt/ha. Sumažinus vidutinį palyginamąjį atstumą į laukus 1 km, transporto darbų išlaidas galima sumažinti 25–45 Lt/ha per metus. Melioracijos darbus buvusiose sukultūrintose 26 žemės ūkio naudmenose vykdyti tikslinga, jeigu išlaidos darbų vykdymui atsipirks ne vėliau kaip per 15 metų. 6. Žemės ūkio paskirties žemei, nėra nustatyti reikalavimai minimaliam sklypo dydžiui. Ekspertinio vertinimo duomenimis nustatyti nenašių žemių vietovėms rekomenduojami minimalaus dydžio ariamosios žemės sklypų pagrindiniai parametrai: minimalus žemės sklypo plotis 47–73 m, ilgis – 97–150 m. Minimalus sklypo plotas 0,5–1,1 ha. 7. Pagrindinis darbo rezultatas – sukurtas nenašių žemių naudojimo planavimo modelis, kurio paskirtis rengiant teritorijų planavimo dokumentus, sprendinius dėl nenašių žemės ūkio naudmenų sklypų, kurių perspektyvinio naudojimo reikalavimų nereglamentuoja norminiai teisės aktai, priimti naudojantis parengtu modeliu. Siekiant nustatyti nenašių žemių naudojimo alternatyvas vertinimas atliktas keliais aspektais: atlikta ekspertų apklausa kriterijams nustatyti; suformavus apklausos anketą apklausi kompetetingi žemėtvarkos, miškotvarkos, hidrotechnkos, agronomojos specialistai. Šio metodo praktiškam taikymui parengta supaprastinta duomenų apdorojimo tvarka MS Excel programoje 8. Sukurtas modelis nenašių žemių naudojimo planavimui, tačiau jis gali būti taikomas kaip bazinis pagrindas ir kitų Lietuvos apleistų žemės ūkio paskirties žemių naudojimo planavimui. Nenašių žemių naudojimo planavimas paremtas ekspertų požiūriu į nustatytus parametrus. Suinteresuotų pusių dalyvavimas sprendimo priėmimo procese padeda išvengti šališkumo ir tikėtina, kad nenašių žemių naudojimo planavimas nebus vienakryptis. 9. Rekomenduojama rengiant kaimo plėtros žemėtvarkos projektus, teritorijų planavimo dokumentus, žemėtvarkos schemas, prieš projektavimą, naudojantis erdvinių duomenų rinkiniais, išskirti nenašius plotus. 10. Rekomenduojama, jog paramos priemonės žemės ūkio ir kaimo plėtrai turėtų remtis teritorijų planavimo dokumentuose seniūnijų teritorijų dalims, ūkiams ar atskiroms vietovėms nustatytais sprendiniais dėl ūkininkavimo krypties, žemės melioracinės būklės pagerinimo, kelių ir kitų infrastruktūros objektų pagerinimo, miškų įveisimo. 11. Rekomenduojama, kad teisinės ir metodinės nuostatos teritorijų planavimo dokumentams rengti apimtų: - normatyvus ir reikalavimus, reglamentuojančius žemės ūkio naudmenų pagerinimo galimybių ir apimčių nustatymą, formuojamo mechanizuotai dirbamo žemės sklypo minimalius parametrus, miškų, medžių ir krūmų želdinių, pelkių, kitų natūralių kraštovaizdžio elementų išdėstymo kriterijus (minimalų procentą agrarinės teritorijos plote arba minimalius ekologinės įvairovės rodiklius); - reikalavimus rengiamame teritorijų planavimo dokumente pateikti apleistų žemės ūkio naudmenų sklypų naudojimo žemės ūkio arba miškų ūkio veiklai ekonominį pagrindimą. 27 TRUMPOS ŽINIOS APIE AUTORĘ Edita Abalikštienė gimė 1980 m. birželio 19 d., Rokiškio rajone. 1998 metais baigė Rokiškio J. Tumo-Vaižganto vidurinę mokyklą. 2002 Lietuvos žemės ūkio universiteto, Vandens ūkio ir žemėtvarkos fakultete įgytas Žemėtvarkos bakalauro laipsnis. 2002–2005 metais studijavo tame pačiame universitete ir įgijo kraštotvarkos magistro kvalifikacinį laipsnį. Kontaktai: el. paštas: [email protected] LIETUVOS NENAŠIŲ ŽEMIŲ NAUDOJIMO PLANAVIMO SISTEMINĖ ANALIZĖ EDITA ABALIKŠTIENĖ Daktaro disertacijos santrauka SL 399. 2013.11.05. Sp. l. 1,75. Tiražas 30. Užsakymo Nr. 47. Leido ir spausdino ASU Leidybos centras – 2013. Studentų g. 11, LT-53361 Akademija, Kauno r. 28