ArticleScientific reports2024
Temporal and spatial characteristics of ecological drought in the Inland River Basin and its driving factors.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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7 authors.
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Abstract
Most of the previous studies only used the index of vegetation growth to characterize ecological drought. This study built a Standardized Ecological Water Deficit Index (SEWDI) , analysed its space-time evolution characteristics from the perspectives of time, space and spatio-temporal coupling, extractes feature variables by three-dimensional spatio-temporal clustering, analysed typical ecological drought events, the effect of teleconnection factors on ecological drought was investigated using cross wavelet analysis . The reliability of SEWDI was quantitatively evaluated by comparing the r values of Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), Standardized Soil Moisture Index (SSMI), self-calibrating Palmer Drought Severity Index (scPDSI), and SEWDI with Standardized Solar-induced Fluorescence (SSIF) at various scales in time.The results demonstrated that: (1) Ecological drought in the Inland River Basin showed a weakening trend from 1982 to 2015. Seasonal drought showed a wetting trend in the west and a drought trend in the east, and the wetting trend is most evident in spring. It may be related to the policy of returning farmland to forest in the eastern part of IRB in Inner Mongolia Autonomous Region. (2) Three-dimensional recognition method could extract more detailed characteristic variables of ecological drought events. A total of 133 ecological drought events occurred in the Inland River Basin during 1982-2015, and ecological drought events had a longer duration and intensity after the twenty-first century. (3) June 2005 to February 2007 was the most severe ecological drought event on record, which lasted for 21 months. The drought intensity was 44.65 × 10
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