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将遥感数据驱动的土壤水平衡模型、植被生产力光能利用率模型与基于过程的土壤酸化模型、营养元素循环模型相耦合,建立森林土壤酸化-植被生产力空间信息模型,定量表达土壤和土壤水离子浓度、植被生产力、营养元素循环空间分异.将模型模块化,耦合于自主开发的EcoHAT系统(Ecohydrolgy Assessment Tools),并以贵州典型森林群落为研究对象,运用模型对群落土壤化学性质、植被生产力和营养元素生物循环的关键过程的时空演变模式进行了模拟和研究,与实验数据进行验证,取得良好的效果.运用情景设定的方式,定量模拟研究区酸雨的强度变化导致土壤中植被可吸收的盐基离子变化,以及对森林植被净第一性生产力(NPP)的间接影响.
Remote sensing data-driven soil water balance model, vegetation productivity light energy utilization model are combined with process-based soil acidification model and nutrient cycling model to establish the spatial information model of acidification-vegetation productivity in forest so as to quantify the soil water and soil water ion Concentration, vegetation productivity and nutrient element cycle were analyzed.The model was coupled with the Ecohydrolgy Assessment Tools developed by ourselves, and the typical forest community in Guizhou was used as the research object to analyze the characteristics of soil chemical properties, vegetation productivity And the spatial and temporal evolution of the key processes of nutrient cycling were simulated and studied, and verified with experimental data, and achieved good results.Using the method of scenario setting, quantitatively simulating the change of acid rain intensity in the study area resulted in the absorption of vegetation in the soil Of salt-based ion changes, and the indirect impact on net primary productivity (NPP) of forest vegetation.