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Simple Simulation of Abandoned Farmland Based on Multiagent Modeling Approach

机译:基于多智能体建模方法的废弃农田简单模拟

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In recent years, the agent-based model (ABM) has been widely applied and popularized in land-use and land-cover change (LUCC). It expresses the spatiotemporal heterogeneities of a model with individuals and ultimately obtains the emergence of individuals' behaviors on a macroscopic scale. This paper takes Taipusi Banner in the Inner Mongolia farming-pastoral zone as the study area based on local questionnaire data. The model synthesizes climate factors, the Grain for Green policy, direct subsidies of grain, and socioeconomic factors and simulates household farmland use behaviors in the next 30 years based on the Repastj toolbox in the Java language and in Eclipse. This model precisely reflects the LUCC process and its corresponding factors' interactions, provides deep insight into the integration process of these factors, and gives advice to governments on how to make land-use and food-security policies long-lasting and reasonable.
机译:近年来,基于主体的模型(ABM)已在土地利用和土地覆被变化(LUCC)中得到广泛应用和推广。它表达了具有个体的模型的时空异质性,并最终在宏观尺度上获得了个体行为的出现。本文根据当地问卷调查数据,以内蒙古农牧区的大埔寺旗为研究区域。该模型基于Java语言和Eclipse中的Repastj工具箱,综合了气候因素,绿色粮食政策,谷物直接补贴和社会经济因素,并模拟了未来30年的家庭农田使用行为。该模型精确地反映了土地利用变化和土地变化过程及其相关因素的相互作用,对这些因素的整合过程提供了深刻的见解,并就如何使土地利用和粮食安全政策长期有效地向政府提供了建议。

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