Conceptual and technical integration of land system model components

在区域一级，各种驱动因素影响着土地系统的动态，因此必须在土地系统建模中加以捕捉。气候因素直接影响生物物理过程（例如，大气CO2水平改变光合作用速率）和间接影响（例如，温度升高改变土壤资源、病虫害、杂草等的环境条件，从而影响作物和牲畜生产）。非气候因素通过政策和制度的变化，最重要的是通过土地使用者的调整和适应，影响社会经济过程。不幸的是，这些驱动因素和影响不容易被解开，因为它们相互依赖地起作用，而且某些过程，如作物在开花和结实期间的生长，表现出强烈的非线性响应。此外，土地使用者可能会成功地补偿对其生计的一些负面影响，而在其他情况下甚至会利用这些负面影响，从而增加积极影响。该项目将各种生物物理和社会经济过程的模型组件以高分辨率连接起来，这对于评估土地系统的脆弱性和敏感性以及探索合适的适应策略至关重要。

Various drivers affect the dynamics of land systems at the regional level and have therefore to be captured in land system modelling. Climate factors affect biophysical processes directly (for example, the atmospheric CO2 level changes the rate of photosynthesis) and indirectly (for example, increasing temperature changes the environmental conditions for soil resources, pests, diseases, weeds etc., which affect crop and livestock production). Non-climate factors affect socioeconomic processes through changes in policies and institutions and, most importantly, through the adjustments and adaptations of land users. Unfortunately, these drivers and impacts cannot easily be disentangled because they work interdependently and certain processes, such as crop growth during flowering and fruiting, show strongly nonlinear responses. Moreover, land users may succeed in compensating for some negative impacts on their livelihoods, while in other cases even exploiting and thereby increasing the positive impacts. This project links model components for the various biophysical and socioeconomic processes at high resolution, which is paramount to assess the vulnerability and sensitivity of land systems and to explore suitable adaptation strategies.