The design of an Agent-Based Model (ABM) is described that integrates Social and Land Use Modules to examine population-environment interactions in a former agricultural frontier in Northeastern Thailand. The ABM is used to assess household income and wealth derived from agricultural production of lowland, rain-fed paddy rice and upland field crops in Nang Rong District as well as remittances returned to the household from family migrants who are engaged in off-farm employment in urban destinations. The ABM is supported by a longitudinal social survey of nearly 10,000 households, a deep satellite image time-series of land use change trajectories, multi-thematic social and ecological data organized within a GIS, and a suite of software modules that integrate data derived from an agricultural cropping system model (DSSAT - Decision Support for Agrotechnology Transfer) and a land suitability model (MAXENT - Maximum Entropy), in addition to multi-dimensional demographic survey data of individuals and households. The primary modules of the ABM are the Initialization Module, Migration Module, Assets Module, Land Suitability Module, Crop Yield Module, Fertilizer Module, and the Land Use Change Decision Module. The architecture of the ABM is described relative to module function and connectivity through uni-directional or bi-directional links. In general, the Social Modules simulate changes in human population and social networks, as well as changes in population migration and household assets, whereas the Land Use Modules simulate changes in land use types, land suitability, and crop yields. We emphasize the description of the Land Use Modules - the algorithms and interactions between the modules are described relative to the project goals of assessing household income and wealth relative to shifts in land use patterns, household demographics, population migration, social networks, and agricultural activities that collectively occur within a marginalized environment that is subjected to a suite of endogenous and exogenous dynamics.

中文翻译：

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设计基于主体的模型来研究泰国南荣县人口与环境的相互作用

描述了基于代理的模型 (ABM) 的设计，该模型集成了社会和土地利用模块，以研究泰国东北部前农业边疆的人口与环境的相互作用。ABM 用于评估南荣县低地、雨养水稻和旱田作物的农业生产所产生的家庭收入和财富，以及在南荣县从事非农就业的家庭移民返还给家庭的汇款。城市目的地。ABM 得到了对近 10,000 个家庭的纵向社会调查、土地利用变化轨迹的深度卫星图像时间序列、GIS 内组织的多主题社会和生态数据以及集成来自以下数据的一套软件模块的支持：农业种植系统模型（DSSAT - 农业技术转让决策支持）和土地适宜性模型（MAXENT - 最大熵），以及个人和家庭的多维人口调查数据。ABM 的主要模块是初始化模块、迁移模块、资产模块、土地适宜性模块、作物产量模块、肥料模块和土地利用变化决策模块。ABM 的架构是相对于模块功能和通过单向或双向链路的连接性来描述的。一般来说，社会模块模拟人口和社会网络的变化，以及人口迁移和家庭资产的变化，而土地利用模块模拟土地利用类型、土地适宜性和农作物产量的变化。我们强调土地利用模块的描述 - 模块之间的算法和交互是相对于评估家庭收入和财富的项目目标来描述的，涉及土地利用模式、家庭人口统计、人口迁移、社交网络和农业活动的变化它们共同发生在受到一系列内生和外生动力影响的边缘化环境中。