Spatiotemporal Evolution Patterns of Global Actual Evapotranspiration and Its Influencing Factors

Abstract Understanding the spatiotemporal dynamics of actual evapotranspiration (AET) and its drivers is critical for addressing climate change and ensuring ecosystem sustainability. Here, we analyzed global AET trends from 2001 to 2019 and assessed the relative contributions of six key influencing factors. Our findings reveal that AET exhibits a significant positive trend across 31.6% of the global land surface, predominantly in the Amazon Plain and the Loess Plateau of China, whereas a significant negative trend is observed over 5.2% of the land area, concentrated in eastern Brazil and southern Africa. The normalized difference vegetation index (NDVI) showed the strongest partial correlation with AET, influencing 26.6% of the global land area. Multiple linear regression (MLR) analysis indicates that precipitation exerts the greatest influence on AET in 39.9% of the world, followed by wind speed (WS) at 37.9%, while soil moisture (SM) is the dominant factor in only 0.2% of the global land area. Notably, WS drives 23.5% of the observed AET trends, whereas precipitation contributes most to trends in just 8.6% of the land area. Among the factors evaluated, NDVI emerges as the primary driver of AET changes, followed by precipitation, while surface net solar radiation (SNSR) has the weakest influence. These insights advance the understanding of global AET's spatiotemporal evolution and its driving mechanisms, offering a foundation for devising adaptive strategies to mitigate climate change impacts and enhance ecosystem resilience.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2025-05-15
DOI
https://doi.org/10.1029/2024jd042515
Citations
2
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
2.21

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article

Spatiotemporal Evolution Patterns of Global Actual Evapotranspiration and Its Influencing Factors

Liu Guo-yan, Ke Zhang, Haoyu Jin, Yiming Huang et al.
2 citations
Journal of Geophysical Research Atmospheres
Plant Water Relations and Carbon Dynamics
2.21
article

Spatiotemporal Evolution Patterns of Global Actual Evapotranspiration and Its Influencing Factors

Liu Guo-yan, Ke Zhang, Haoyu Jin, Yiming Huang, Moyang Liu, Pengfei Zhang
article en
2 citations

Abstract

Abstract Understanding the spatiotemporal dynamics of actual evapotranspiration (AET) and its drivers is critical for addressing climate change and ensuring ecosystem sustainability. Here, we analyzed global AET trends from 2001 to 2019 and assessed the relative contributions of six key influencing factors. Our findings reveal that AET exhibits a significant positive trend across 31.6% of the global land surface, predominantly in the Amazon Plain and the Loess Plateau of China, whereas a significant negative trend is observed over 5.2% of the land area, concentrated in eastern Brazil and southern Africa. The normalized difference vegetation index (NDVI) showed the strongest partial correlation with AET, influencing 26.6% of the global land area. Multiple linear regression (MLR) analysis indicates that precipitation exerts the greatest influence on AET in 39.9% of the world, followed by wind speed (WS) at 37.9%, while soil moisture (SM) is the dominant factor in only 0.2% of the global land area. Notably, WS drives 23.5% of the observed AET trends, whereas precipitation contributes most to trends in just 8.6% of the land area. Among the factors evaluated, NDVI emerges as the primary driver of AET changes, followed by precipitation, while surface net solar radiation (SNSR) has the weakest influence. These insights advance the understanding of global AET's spatiotemporal evolution and its driving mechanisms, offering a foundation for devising adaptive strategies to mitigate climate change impacts and enhance ecosystem resilience.

Journal of Geophysical Research AtmospheresVol. 130(10)
Australian National University (AU), China Meteorological Administration (CN), Hohai University (CN), Ministry of Water Resources of the People's Republic of China (CN)
National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 14%
Plant Water Relations and Carbon Dynamics
2.21
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