Evaluation of impact of climate extremes on vegetation change in Southwest China considering time-lag effect

作者：Gang Qi, Nan Cong, Tangzhen Qiu, Lei Rong, Ping Ren, Jiangtao Xiao · 发表于：Global Ecology and Conservation · 年份：2025 · DOI：10.1016/j.gecco.2025.e03497 · 被引用次数：15 · 研究领域：Remote Sensing in Agriculture、Plant Water Relations and Carbon Dynamics、Forest, Soil, and Plant Ecology in China

The occurrence of extreme climate phenomena has markedly increased due to the rising trend in global temperatures, leading to significant changes in plant distribution and behavior. This trend is particularly evident in Southwest China, a region highly sensitive to climate shifts and frequently exposed to extreme climate events. However, the impact of the time-lag effect on vegetation is often overlooked. In this study, daily temperature (maximum and minimum) and precipitation data were used to calculate nine extreme climate indices. These indices were then employed to evaluate their impact on vegetation dynamics in the region. Subsequently, MODIS NDVI data were used to explore the correlations and time-lag effects between these extreme climate indices and vegetation changes. The analysis revealed significant annual and monthly growth rates in the regional average NDVI from 2000 to 2020, with R² determination coefficients of 0.06 and 0.94, respectively. Most extreme climate indices exhibited a strong positive correlation with NDVI on a monthly scale. A significant correlation was observed between extreme precipitation index and vegetation index in croplands and grasslands. There was a significant 0–2-month lag in the correlation between NDVI and extreme precipitation indices, whereas the correlation between NDVI and extreme temperature indices was more pronounced, with a lag of approximately 4–6 months. Ultimately, our study identified a stronger correlation between precipita...