Interregional Farmland Layout Optimization on the Constraint of Natural Resources and Social-Economical Condition——A Case Study of Wuhan City Circle
研究了在快速城市化背景下，如何综合考虑自然资源和社会经济条件的区域差异，利用分区异步元胞自动机模型优化武汉城市圈2020年的农田布局，以协调建设用地扩张与农田保护之间的矛盾。
It's the important way to coordinate the conflict between built-up land expansion and farmland protection during rapid urbanization period that optimizing interregional farmland allocation. Both regional differences that nonagricultural construction pressure caused by social-economical development and farmland quality which determined by natural resources should be concerned when interregional farmland allocation is optimized. In this paper, taking Wuhan City Circle as the case area, combining regional differences of natural resources and social-economical conditions, the Partition-Asynchronous Cellular Automata Model(PACA) is employed to optimize interregional farmland allocation. In this model, global stop condition is calculated by food security of whole area, regional stop condition is calculated by building land demand in each county, asynchronous speed is calculated by farmland suitability and non- agricultural pressure in each county, and regional conversion rules is calculated by the laws of land use change in each county,respectively so as to realize the layout optimization of cultivated land use of Wuhan City Circle in 2020. Results show that:(1) by converting farmland suitability and non-agricultural construction pressure to asynchronous speed of PACA,interregional farmland allocation optimization on the constraint of spatial differences of natural resources and socialeconomical conditions can be realized;(2) because spatial differences of both natural resources and social- economical conditions were be concerned, the optimization of interregional farmland allocation on the constraint of natural resources and social-economic conditions can make non-agricultural construction pressure released maximally under the constraint of food security, and it can also coordinate farmland quality protection and quantity protection.