文献类型： 外文期刊
作者： Shao, Hui 1 ; Zhang, Yuandong 1 ; Yu, Zhen 2 ; Gu, Fengxue 4 ; Peng, Zhongtong 1 ;
作者机构： 1.Chinese Acad Forestry, Ecol & Nat Conservat Inst, Key Lab Forest Ecol & Environm Natl Forestry & Gr, Beijing 100091, Peoples R China
2.Nanjing Univ Informat Sci & Technol, Sch Appl Meteorol, Inst Ecol, Nanjing 210044, Peoples R China
3.Nanjing Univ Informat Sci & Technol, Res Ctr Global Changes & Ecosyst Carbon Sequestra, Nanjing 210044, Peoples R China
4.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Key Lab Dryland Agr, Beijing 100081, Peoples R China
关键词： resilience; recovery time; vegetation growth and productivity; water deficit
期刊名称：FORESTS （ 影响因子：3.282； 五年影响因子：3.292 ）
ISSN：
年卷期： 2022 年 13 卷 6 期
页码：
收录情况： SCI
摘要： The 2009/2010 extreme drought in southwest China (SWC) was a "once-in-a-century" drought event, which caused unprecedented damage to the regional ecology and socioeconomic development. The event provided a chance to explore the resilience of vegetation growth and productivity to the extreme drought. Here, we used the self-calibrating Palmer drought severity index (scPDSI) to describe the characteristics of the extreme drought. Vegetation growth and productivity indices, including the normalized difference vegetation index (NDVI), leaf area index (LAI), and gross primary productivity (GPP), were applied to analyze the resilience of different vegetation types to the extreme drought. Our results showed that the extreme drought event occurred mainly in Yunnan Province, Guizhou Province, central and northern Guangxi Zhuang Autonomous Region, and northwestern Sichuan Province. The spatial heterogeneity of the extreme drought was related to the temperature increase and water deficit. During the extreme drought, the vegetation growth and productivity of evergreen broadleaf forest were the least suppressed, whereas cropland was greatly suppressed. The recovery of cropland was higher than that of evergreen broadleaf forest. NDVI and LAI were recovered in more than 80% of the drought-affected area within 5 months, whereas GPP required a longer time to recover. Moreover, the results of multiple linear regression showed that an increase in surface soil moisture was able to significantly improve the resistance of vegetation NDVI and LAI in evergreen broadleaf forest, evergreen needleleaf forest, evergreen broadleaf shrubland, deciduous broadleaf shrubland, and grassland. Our study highlights the differences in the resilience of different vegetation types to extreme drought and indicates that surface soil moisture is an important factor affecting vegetation resistance in SWC.
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