Abstract: Jiangxi province is one of the first demonstration provinces of ecological civilization in China. Under the background of climate change, studying the natural condition impact on ecological quality of vegetation is conducive to local ecological conservation and restoration efforts. Based on satellite remote sensing and meteorological observation data, this study analyzed the spatio−temporal variability of vegetation ecological quality and climate−driven impact on different time scales in Jiangxi from 2000 to 2023 using mathematical statistical methods, such as trend analysis, partial correlation analysis and multiple regression analysis. The results showed that: (1) since 2000, the vegetation ecology in Jiangxi province exhibited a positive trend with the increase rate of vegetation net primary productivity (NPP) of 2.6gC·m⁻²·y⁻¹. Vegetation NPP showed seasonal variation, with the lowest value in January and the highest value in July. (2) Vegetation NPP showed a pattern of increasing radiation from the Poyang lake to the surrounding areas. Spatially, 78.3% of the Jiangxi regions showed a significant improvement in ecosystem quality, mainly distributed in the Poyang lake wetland and some hilly areas in the transition zone between mountains and plains in central and southern Jiangxi. The annual vegetation NPP decreased significantly in urban and surrounding areas. (3) The monthly climate factors had the most prominent influences on vegetation NPP in Jiangxi. The monthly vegetation NPP had positively correlation with the monthly average temperature, precipitation and sunshine hours. The monthly average temperature had a stronger effect on vegetation productivity than that of precipitation and sunshine hours. However, the correlation coefficients were spatially different. The monthly vegetation NPP in central and northwest Jiangxi were affected by mean temperature and precipitation, while the monthly sunshine hours had a greater effect on vegetation NPP in Poyang lake plain, central Jiangxi basin and southern Jiangxi. (4) The results of multiple linear regression between NPP and climate factors in spring and monthly scale were better, and the relative errors of NPP simulation were small, with 2.6% in spring and 4.8% in monthly scale. The Jiangxi climate showed a trend of increasingly warm and wet, so natural climatic conditions would be favor further improvement in the ecological quality of vegetation. 

Key words: Ecological quality, Net primary productivity, Climate change, Temporal and spatial evolution