Reconstruction of historical arable land use patterns using constrained cellular automata: A case study of Jiangsu,China |
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| Affiliation: | 1. Natural Resources Research Center of Nanjing University, Nanjing 210023, China;2. Beijing Institute of City Planning, Beijing 100045, China;3. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China;1. Beijing Institute of City Planning, China;2. Department of Urban and Regional Planning, Zhejiang University, China;3. Department of City and Regional Planning, University of North Carolina at Chapel Hill, United States;4. Department of Land Management, Zhejiang University, China;1. Center for Climate Change and Environmental Policy, Chinese Academy for Environmental Planning, Beijing 100012, China;2. Beijing Key Lab of Capital Spatial Planning and Studies, Beijing 100084, China;3. Beijing Institute of City Planning, Beijing 100045, China;4. Department of Public Policy, City University of Hong Kong, Hong Kong, China;5. School of Environment, Tsinghua University, Beijing 100084, China;6. Appraisal Center for Environment and Engineering, Beijing 100012, China;7. China Academy of Urban Planning and Design, Beijing 100044, China;8. LREIS, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;9. Chinese Research Academy of Environmental Sciences, Beijing 100012, China;10. School of Environment, Beijing Normal University, Beijing 100875, China;1. The University of Hong Kong, China;2. University of North Carolina – Chapel Hill, USA;3. Capital University of Economics and Business, China;4. Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, China;5. China Academy of Urban Planning and Design, China;6. Beijing Institute of City Planning, China |
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| Abstract: | The reconstruction of arable land patterns over historical periods is one of critical research issues in the study of land use and land cover change (LUCC). Taking into account the continuous distribution of arable land and spatial constraints, this paper proposes a constrained cellular automata model to reconstruct historical arable land patterns. The paper describes model establishment, parameter calibration, and results validation in detail. The model was applied to Jiangsu Province, China, and was compared with a conventional spatial allocation method. The results showed that the methodology developed in this study can more objectively reflect the evolution of the pattern of arable land over historical periods, in terms of similarity with contemporary pattern, than the spatial allocation methods and can provide an effective basis for the historical study of arable land. |
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| Keywords: | Constrained cellular automata Historical arable land Jiangsu LUCC Spatial allocation |
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