Soil moisture and livestock jointly drive grassland degradation mitigation based on sensitivity analysis

作者：Xiaoke Zhang, Yuanguo Liu, Mingze Sun, Jiangtao Hong, Qihao Zhu, Xuyang Lu, Xiaodan Wang · 发表于：Agricultural Water Management · 年份：2025 · DOI：10.1016/j.agwat.2025.109822 · 被引用次数：1 · 研究领域：Forest, Soil, and Plant Ecology in China、Remote Sensing and Land Use、Environmental and Agricultural Sciences

Alpine grasslands, serving as a crucial ecological security barrier, have undergone significant change in response to rapid environmental changes. However, alpine grassland degradation and their sensitivity changes remain poorly understood. Here we used long-term satellite observations and a novel baseline to evaluate the grassland degradation status on the Northern Tibetan Plateau. Subsequently, sensitivity coefficients were employed to analysis sensitivity changes and the contribution of climate and human factors in grassland degradation. We observed a mitigation in grassland degradation, with soil moisture and livestock as the predominant contributing factor to this process. Additionally, alpine grasslands exhibit low sensitivity to environmental changes when vegetation cover is sparse but display high sensitivity when vegetation cover is abundant. Using path analysis, we show that sensitivity change pattern are caused by water variability. The sensitivity to climate change sharply increases with the increase in greening, indicating a potential trend of ‘greening but drought’ in the future. • A new benchmark to evaluate alpine grassland degradation was proposed. • Grassland degradation was alleviated mainly by soil moisture and livestock. • Sparse grassland exhibited low sensitivity to environmental changes and vice versa. • Sensitivity change pattern was caused by water variability using path analysis.