Spatiotemporal Characteristics and Influencing Factors of Grassland NDVI in Xinjiang

作者：Chao Li, Guili Jin, S. Wang, Wenhao Liu, Wenxiong Li, Mengtian Chen, Wenlin Du, Yidilisi Yasen · 发表于：Grass and Forage Science · 年份：2026 · DOI：10.1111/gfs.70035 · 研究领域：Remote Sensing in Agriculture、Land Use and Ecosystem Services、Rangeland Management and Livestock Ecology

ABSTRACT Long‐term grassland monitoring in Xinjiang is crucial for understanding the spatiotemporal dynamics of grassland growth and projecting future trends. It contributes to evaluating environmental pressures on grasslands and predicting their ecological health. This study, using Landsat‐NDVI as the primary data source, employs univariate regression analysis, multivariate residual analysis, and the Hurst index to investigate changes in the normalised difference vegetation index (NDVI) of Xinjiang's grasslands from 1990 to 2022. The research explores annual‐scale variations across 11 grassland types, evaluates the effects of climate and human activities, and predicts future trends in grassland dynamics. (1) From 1990 to 2022, the NDVI of Xinjiang's grasslands exhibited a fluctuating yet overall increasing trend. Spatially, NDVI values showed a decreasing pattern from mountainous regions to basins. Areas with significant NDVI increases accounted for 71.21% of the total area, whilst those with significant decreases represented only 0.33%. Amongst the grassland types, marshlands had the highest NDVI growth rate at 1.26 × 10 −2 a −1 , whilst temperate desertified grasslands had the lowest growth rate at 0.18 × 10 −2 a −1 . (2) Between 1990 and 2022, the increase in NDVI across most grasslands in Xinjiang was primarily driven by the combined effects of climate change and human activities, which accounted for 87.48% of the total influence. Specifically, human activities have cont...