中文摘要：

在地理现象之间的原因效果协会是在生态的研究的一个重要焦点。在结构的方程建模的最近的研究(SEM ) 为分析如此的协会表明了潜力。我们使用了基于变化的部分最少的广场 SEM (PLS-SEM ) ，当模特儿在草地生产率上估计人气候的影响的地理上加权的回归(GWR ) 代表了由未葬生物资源(AGB ) 。因素和他们的相互作用被拿由 PLS-SEM 向 AGB 解释变化的人和气候在内部蒙古为草地生态系统发展了，中国。结果显示 65.5% AGB 变化能被人和气候因素和他们的相互作用解释。案例研究证明人和气候因素在 AGB 上强加了重要、否定的影响并且他们的相互作用从加强的人气候的压力减轻了威胁到某程度。缓和可能对到高人气候的压力的植被改编可归因，到到气候条件或 / 并且到在高度降级的区域的最近的植被恢复节目的人的改编。而且，对因素由 GWR 建模的人和气候的 AGB 反应展出了重要空间变化。这研究证明 PLS-SEM 和 GWR 模型的联合是可行的在 socio 生态的系统调查原因效果关系。

英文摘要：

The cause-effect associations between geographical phenomena are an important focus in ecological research. Recent studies in structural equation modeling（SEM） demonstrated the potential for analyzing such associations. We applied the variance-based partial least squares SEM（PLS-SEM） and geographically-weighted regression（GWR） modeling to assess the human-climate impact on grassland productivity represented by above-ground biomass（AGB）. The human and climate factors and their interaction were taken to explain the AGB variance by a PLS-SEM developed for the grassland ecosystem in Inner Mongolia, China. Results indicated that 65.5% of the AGB variance could be explained by the human and climate factors and their interaction. The case study showed that the human and climate factors imposed a significant and negative impact on the AGB and that their interaction alleviated to some extent the threat from the intensified human-climate pressure. The alleviation may be attributable to vegetation adaptation to high human-climate stresses, to human adaptation to climate conditions or/and to recent vegetation restoration programs in the highly degraded areas. Furthermore, the AGB response to the human and climate factors modeled by GWR exhibited significant spatial variations. This study demonstrated that the combination of PLS-SEM and GWR model is feasible to investigate the cause-effect relation in socio-ecological systems.