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Global critical soil moisture thresholds of plant water stress

Author

Listed:
  • Zheng Fu

    (Chinese Academy of Sciences
    Université Paris-Saclay)

  • Philippe Ciais

    (Université Paris-Saclay)

  • Jean-Pierre Wigneron

    (Bordeaux Sciences Agro)

  • Pierre Gentine

    (Columbia University)

  • Andrew F. Feldman

    (Biospheric Sciences Laboratory
    University of Maryland)

  • David Makowski

    (Unit Applied Mathematics and Computer Science (UMR MIA-PS) INRAE AgroParisTech Université Paris-Saclay)

  • Nicolas Viovy

    (Université Paris-Saclay)

  • Armen R. Kemanian

    (116 Agricultural Science and Industries Building)

  • Daniel S. Goll

    (Université Paris-Saclay)

  • Paul C. Stoy

    (University of Wisconsin—Madison)

  • Iain Colin Prentice

    (Imperial College London
    Tsinghua University)

  • Dan Yakir

    (Weizmann Institute of Science)

  • Liyang Liu

    (Université Paris-Saclay)

  • Hongliang Ma

    (UMT CAPTE)

  • Xiaojun Li

    (Bordeaux Sciences Agro)

  • Yuanyuan Huang

    (Chinese Academy of Sciences)

  • Kailiang Yu

    (Université Paris-Saclay)

  • Peng Zhu

    (The University of Hong Kong)

  • Xing Li

    (Seoul National University)

  • Zaichun Zhu

    (Peking University)

  • Jinghui Lian

    (Université Paris-Saclay)

  • William K. Smith

    (University of Arizona)

Abstract

During extensive periods without rain, known as dry-downs, decreasing soil moisture (SM) induces plant water stress at the point when it limits evapotranspiration, defining a critical SM threshold (θcrit). Better quantification of θcrit is needed for improving future projections of climate and water resources, food production, and ecosystem vulnerability. Here, we combine systematic satellite observations of the diurnal amplitude of land surface temperature (dLST) and SM during dry-downs, corroborated by in-situ data from flux towers, to generate the observation-based global map of θcrit. We find an average global θcrit of 0.19 m3/m3, varying from 0.12 m3/m3 in arid ecosystems to 0.26 m3/m3 in humid ecosystems. θcrit simulated by Earth System Models is overestimated in dry areas and underestimated in wet areas. The global observed pattern of θcrit reflects plant adaptation to soil available water and atmospheric demand. Using explainable machine learning, we show that aridity index, leaf area and soil texture are the most influential drivers. Moreover, we show that the annual fraction of days with water stress, when SM stays below θcrit, has increased in the past four decades. Our results have important implications for understanding the inception of water stress in models and identifying SM tipping points.

Suggested Citation

  • Zheng Fu & Philippe Ciais & Jean-Pierre Wigneron & Pierre Gentine & Andrew F. Feldman & David Makowski & Nicolas Viovy & Armen R. Kemanian & Daniel S. Goll & Paul C. Stoy & Iain Colin Prentice & Dan Y, 2024. "Global critical soil moisture thresholds of plant water stress," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-49244-7
    DOI: 10.1038/s41467-024-49244-7
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