Faculty of Geography, Yunnan Normal University, Kunming, 650500, China.
Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan Kunming, Kunming, 650500, China.
Sci Rep. 2024 Mar 29;14(1):7508. doi: 10.1038/s41598-024-58068-w.
The frequent occurrence of extreme weather events is one of the future prospects of climate change, and how ecosystems respond to extreme drought is crucial for response to climate change. Taking the extreme drought event in the Tropic of Cancer (Yunnan section) during 2009-2010 as a case study, used the standardized precipitation evapotranspiration index to analyse the impact of extreme drought on enhanced vegetation index (EVI), leaf area index (LAI) and gross primary productivity (GPP), and to analyzed the post extreme drought vegetation recovery status. The results indicate the following: (1) Due to the cumulative effects of drought and vegetation phenology, vegetation growth in the months of March to May in 2010 was more severely affected. (2) Compared to EVI and LAI, GPP is more sensitive to drought and can accurately indicate areas where drought has impacted vegetation. (3) Following an extreme drought event, 70% of the vegetation can recover within 3 months, while 2.87-6.57% of the vegetation will remain unrecovered after 6 months. (4) Cropland and grassland show the strongest response, with longer recovery times, while woodland and shrubland exhibit weaker responses and shorter recovery times. This study provides a reference for the effects of extreme drought on vegetation.
极端天气事件的频繁发生是气候变化的未来展望之一,而生态系统对极端干旱的响应对于应对气候变化至关重要。以 2009-2010 年期间发生在北回归线(云南段)的极端干旱事件为例,利用标准化降水蒸散指数分析了极端干旱对增强植被指数(EVI)、叶面积指数(LAI)和总初级生产力(GPP)的影响,并分析了极端干旱后植被恢复状况。结果表明:(1)由于干旱和植被物候的累积效应,2010 年 3 月至 5 月的植被生长受到更严重的影响。(2)与 EVI 和 LAI 相比,GPP 对干旱更为敏感,能准确指示受干旱影响的植被区域。(3)在经历极端干旱事件后,70%的植被可以在 3 个月内恢复,而 6 个月后仍有 2.87%-6.57%的植被无法恢复。(4)耕地和草地的响应最强,恢复时间较长,而林地和灌丛的响应较弱,恢复时间较短。本研究为极端干旱对植被的影响提供了参考。