摘要
Vegetation is an important component of terrestrial ecosystems,and the increasing frequency and intensity of global drought threaten the stability of vegetation patterns and functions.However,the mechanisms underlying vegetation responses to drought in different regions remain unclear.In this study,we evaluated the spatial and temporal patterns of vegetation responses to drought in China from 2000 to 2022 by using the moderate-resolution imaging spectroradiometer(MODIS)enhanced vegetation index(EVI)and the standardized precipitation evapotranspiration index(SPEI).We further quantified the resilience of vegetation to drought across different regions in China using resistance and recovery indices,and revealed driving factors influencing vegetation resilience through a random forest model.The results showed that:(1)Drought significantly reduced vegetation coverage across different regions of China,with spatial and temporal heterogeneity in drought impacts.(2)Vegetation resistance to drought was shown as the southern region(0.441)>Tibetan Plateau(0.350)>northern region(0.338),while the vegetation recovery to drought was shown as the northern region(0.495)>Tibetan Plateau(0.456)>southern region(0.428).(3)The factors influencing vegetation resistance and recovery exhibited spatial and temporal differences.Our results clarified the geographical patterns and mechanisms of vegetation responses to drought in China under the context of global climate change.These results provide a scientific basis for the accurate prediction of vegetation dynamics under drought stress and offer theoretical support for the development of targeted environmental protection strategies.
基金
supported by the National Natural Science Foundation of China(Grant No.42371038)
the Basic Research Innovation Group Project of Gansu Province(Grant No.22JR5RA129)
the Major Scientific Research Project Cultivation Plan of Northwest Normal University(Grant No.WNU-LKZD2022-04)
the Science and Technology Plan of Gansu Province(Grant No.22JR5RG1029)
the Research Grant Program of Northwest Normal University(Grant No.2022KYZZ-S194)。
