Spatiotemporal Variation Characteristics and Influencing Factors of NPP in Fujian Province Based on Improved CASA Model
The net primary productivity (NPP) of vegetation,as an important indicator to measure the health of terrestrial ecosystems,can directly reflect the development and improvement of the regional environment. Based on MODIS images and meteorological data,this study uses the improved Carnegie Ames Stanford Approach (CASA) model to accurately estimate NPP in Fujian province from 2001 to 2015. Trend analysis and geographic detector method were used to explore the temporal and spatial evolution characteristics of NPP in Fujian province,and the influencing mechanism of NPP changes over the years. The results of this study provide a reference for grasping the spatiotemporal variation characteristics and internal influencing mechanism of NPP,and also provide a scientific basis for grasping the governance status and improvement of the ecological environment in Fujian province.
improved CASA modelinfluencing factorsspatiotemporal changegeodetectorFujian Province
万方数据
维普
