Abstract: This article,based on daily meteorological data and MODIS Normalized Difference Vegetation Index (NDVI)products from 2000 to 2020,employed trend analysis,correlation analysis,and spatial analysis methods to investigate the spatiotemporal distribution characteristics of the Fractional Vegetation Cover (FVC)on Hainan Island and its response to climate change.From 2000 to 2020,the FVC on Hainan Island showed a distribution pattern of "high in the middle and low around the edges," with annual average FVC values mostly from 60% to 80%.According to the analysis results of F-test,FVC shows a significant or extremely significant growth trend in most areas during spring,summer,and autumn,mainly concentrated in the central and northern regions; Only 41.7% of the regions show an increasing trend in winter,and the changes are not significant; From the perspective of spatiotemporal stability,the FVC in coastal areas fluctuated greatly in spring,with poor stability; in summer,the central mountainous areas had higher stability; in autumn,high stability areas accounted for 27.4% of the island's area; in winter,more than 98.8% of the island's areas had lower stability.In terms of climate change response,the FVC in spring was positively correlated with temperature,precipitation,and sunshine hours,with precipitation being the key climatic factor; the FVC in summer was positively correlated with temperature and precipitation,and negatively correlated with sunshine hours; the FVC in autumn was positively correlated with temperature and negatively correlated with precipitation and sunshine hours; the FVC in winter was positively correlated with temperature and precipitation,and negatively correlated with sunshine hours.From the perspective of key meteorological factors,precipitation has a significant impact on spring FVC changes,while in summer,autumn,and winter,temperature plays a dominant role in the variation of FVC.This study provides a scientific basis for ecological protection and data support for addressing the impacts of climate change by deeply analyzing the patterns of vegetation coverage changes on Hainan Island.