Taking southwest China as an example, the optimal parameters-based geographical detector (OPGD) was used to study the single and comprehensive effects of climate, topography, vegetation and human activities on bird species richness in the region, and determine the optimal range of single factors that promote the maintenance of bird richness. The results suggest that the spatial differentiation of bird species richness in southwest China is mainly affected by vegetation and climate factors. In the independent influence of various factors, the vegetation factor is the most important contribution, and the total contribution rate of enhance vegetation index (EVI) and forest cover height (FCH) is 33.8%?34.7%. The interaction between the two factors enhances the influence of any single factor, and makes a significant nonlinear effect on birds richness. The study shows that the agent index of vegetation factor, especially the agent index of productivity, can better reflect the comprehensive status of the regional environment and is more suitable for the estimation of bird species diversity.

以中国西南地区为例, 利用优化参数地理探测器模型(OPGD)研究气候、地形、植被以及人类活动对区域鸟类物种丰富度的单因素和综合影响, 确定维持鸟类丰富度的单因素的最适范围。研究结果表明, 中国西南地区鸟类物种丰富度的空间分异主要受植被和气候因素影响。在各因素的独立影响中, 植被因素的贡献率最大, 增强植被指数(EVI)与森林覆盖高度(FCH)的合计贡献率达到 33.8%~34.7%。双因子对的耦合作用增强了任何单一因素的影响, 并且对鸟类物种丰富度具有显著的非线性效应。研究结果还表明, 植被因子的代理指标, 特别是生产力的代理指标, 能够较好地反映区域环境的综合状况, 更适用于鸟类物种多样性的估计。