【摘要】 【目的】探究甘肃省NDVI的驱动因子,为生态环境管理和可持续发展提供理论依据.【方法】以气温、降水、海拔、植被类型、土壤类型作为自然驱动因子,以土地利用类型、人口密度、GDP作为人文驱动因子,运用地理探测器模型,结合空间叠置和自然断点法对甘肃省2015年度及不同季节归一化植被指数(NDVI)的驱动因子进行探测.【结果】甘肃省2015年度NDVI的主要驱动因子为降水、植被类型、土地利用类型和土壤类型,其解释力度分别为0.73、0.69、0.53、0.48;其中降水与植被类型、土壤类型的交互作用解释力度都达到了0.83,且都表现出双因子增强.春季、夏季和秋季NDVI的驱动因子排序和交互作用与2015年度的基本一致.【结论】自然因子对NDVI的贡献是人文因子的2～3倍;自然因子之间的交互作用比自然因子与人文因子之间的交互作用贡献率更大.更多还原

【Abstract】 【Objective】 To explore NDVI driving factors and provide a theoretical basis for ecological environment management and sustainable development.【Method】 The temperature,precipitation,altitude,vegetation type and soil type were used as natural driving factors. Land use type,population density and GDP were used as humanistic driving factors. The geodetector model,combined with spatial overlay and natural breaks methods were used to detecte the driving factors of NDVI in Gansu Province in 2015 and different seasons. 【Result】 The result showed that the main driving factors of annual NDVI were precipitation,vegetation type,land use type and soil type,and their explanatory powers were 0.73,0.69,0.53,and 0.48 respectively. The interaction explanatory powers between precipitation and vegetation type,precipitation and soil type were 0.83,and both showed a two-factor enhancement. The driving factor ordering and interaction of NDVI in spring,summer and autumn were basically the same as the year. 【Conclusion】 The contribution of natural factors to NDVI was 2 to 3 times of human factors.The interaction among natural factors was more important than that between natural factors and human factors.更多还原