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Analysis of Vegetation Vulnerability Dynamics and Driving Forces to Multiple Drought Stresses in a Changing Environment

Quantifying changes in the vulnerability of vegetation to various drought stresses in
different seasons is important for rational and effective ecological conservation and restoration.
However, the vulnerability of vegetation and its dynamics in a changing environment are still
unknown, and quantitative attribution analysis of vulnerability changes has been rarely studied. To
this end, this study explored the changes of vegetation vulnerability characteristics under various
drought stresses in Xinjiang and conducted quantitative attribution analysis using the random
forest method. In addition, the effects of ecological water transport and increased irrigation areas
on vegetation vulnerability dynamics were examined. The standardized precipitation index (SPI),
standardized precipitation-evapotranspiration index (SPEI), and standardized soil moisture index
(SSMI) represent atmospheric water supply stress, water and heat supply stress, and soil water supply
stress, respectively. The results showed that: (1) different vegetation types responded differently to
water stress, with grasslands being more sensitive than forests and croplands in summer; (2) increased
vegetation vulnerability under drought stresses dominated in Xinjiang after 2003, with vegetation
growth and near-surface temperature being the main drivers, while increased soil moisture in the
root zone was the main driver of decreased vegetation vulnerability; (3) vulnerability of cropland
to SPI/SPEI/SSMI-related water stress increased due to the rapid expansion of irrigation areas,
which led to increasing water demand in autumn that was difficult to meet; and (4) after ecological
water transport of the Tarim River Basin, the vulnerability of its downstream vegetation to drought
was reduced.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:89010
Date15 January 2024
CreatorsWei, Xiaoting, Huang, Shengzhi, Huang, Qiang, Liu, Dong, Leng, Guoyong, Yang, Haibo, Duan, Weili, Li, Jianfeng, Bai, Qingjun, Peng, Jian
PublisherMDPI
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/publishedVersion, doc-type:article, info:eu-repo/semantics/article, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess
Relation4231

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