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Modeling Agricultural Land Use Change in Bangladesh: Farmer as an Agent of Change

机译:孟加拉国农业土地利用变化建模:农民作为变化的推动力

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Agriculture in Bangladesh is already under pressure both from huge and increasing demands for food, and from problems of agricultural land and water resources depletion. To meet the increasing food demand, Bangladesh can either increase food grain import or can increase crop productivity. Since land is a scarce resource in Bangladesh, the only choice is to increase in cropping intensity. In this research a 'Farmer Model' is developed which considers the behavioral aspects of a farmer regarding agricultural land use change focusing on crop combination and crop intensification. A farmer would adopt any land use based on cost/return comparison and risk minimization that might be associated with these actions. A biophysical crop production model 'Spatial-EPIC' was used to simulate crop production. Land use change was simulated using 'AGENT-LUC' model. In this model, an agent is considered as the decision-maker of the land use change. 'Spatial-EPIC' and 'AGENT-LUC' are integrated with 'Farmer Model' in order to develop agricultural land use change scenarios in response to rapidly growing food demand. Spatial-EPIC model has been implemented in GIS environment at 10km grid size whereas AGENT-LUC model has been implemented in GIS environment at 1 km grid size. The model was run for the period from 1995 to 2004. The output for the period 1995-98 was used for the model validation and the output onwards was used for future land use prediction. Various scenarios would be studied considering different cropping pattern, cropping intensity and policy options etc. As large amount of data sets is needed to be managed and processed for such models, GIS was extensively used as the pre and post processor of the input and output data.
机译:孟加拉国的农业已经承受着巨大的,不断增长的粮食需求以及农业用地和水资源枯竭问题的压力。为了满足不断增长的粮食需求,孟加拉国可以增加粮食进口量或提高作物生产力。由于土地是孟加拉国的稀缺资源,唯一的选择是增加种植强度。在这项研究中,开发了一个“农民模型”,该模型考虑了农民在农业土地利用变化方面的行为方面,侧重于作物组合和作物集约化。农民将基于成本/收益比较和可能与这些行动相关的风险最小化来采用任何土地用途。生物物理作物生产模型“ Spatial-EPIC”用于模拟作物生产。使用“ AGENT-LUC”模型模拟了土地利用变化。在此模型中,代理人被视为土地用途变更的决策者。 “ Spatial-EPIC”和“ AGENT-LUC”与“ Farmer Model”集成在一起,以便针对快速增长的粮食需求制定农业土地利用变化方案。 Spatial-EPIC模型已在GIS环境中以10 km的网格大小实现,而AGENT-LUC模型已在GIS环境中以1 km的网格大小实现。该模型的运行时间为1995年至2004年。模型验证使用了1995-98年期间的输出,之后的输出用于将来的土地使用预测。将考虑不同的种植模式,种植强度和政策选项等来研究各种方案。由于需要为此类模型管理和处理大量数据集,因此GIS被广泛用作输入和输出数据的前后处理器。 。

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