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Widespread increasing vegetation sensitivity to soil moisture.
Li, Wantong; Migliavacca, Mirco; Forkel, Matthias; Denissen, Jasper M C; Reichstein, Markus; Yang, Hui; Duveiller, Gregory; Weber, Ulrich; Orth, Rene.
Afiliación
  • Li W; Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany. wantong@bgc-jena.mpg.de.
  • Migliavacca M; Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
  • Forkel M; Now at: European Commission, Joint Research Centre (JRC), Ispra, Italy.
  • Denissen JMC; Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, Dresden, Germany.
  • Reichstein M; Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
  • Yang H; Hydrology and Quantitative Water Management Group, Wageningen University, Wageningen, The Netherlands.
  • Duveiller G; Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
  • Weber U; Integrative Center for Biodiversity Research (iDIV), Leipzig, Germany.
  • Orth R; Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.
Nat Commun ; 13(1): 3959, 2022 07 08.
Article en En | MEDLINE | ID: mdl-35803919
ABSTRACT
Global vegetation and associated ecosystem services critically depend on soil moisture availability which has decreased in many regions during the last three decades. While spatial patterns of vegetation sensitivity to global soil water have been recently investigated, long-term changes in vegetation sensitivity to soil water availability are still unclear. Here we assess global vegetation sensitivity to soil moisture during 1982-2017 by applying explainable machine learning with observation-based leaf area index (LAI) and hydro-climate anomaly data. We show that LAI sensitivity to soil moisture significantly increases in many semi-arid and arid regions. LAI sensitivity trends are associated with multiple hydro-climate and ecological variables, and strongest increasing trends occur in the most water-sensitive regions which additionally experience declining precipitation. State-of-the-art land surface models do not reproduce this increasing sensitivity as they misrepresent water-sensitive regions and sensitivity strength. Our sensitivity results imply an increasing ecosystem vulnerability to water availability which can lead to exacerbated reductions in vegetation carbon uptake under future intensified drought, consequently amplifying climate change.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Suelo / Ecosistema Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Suelo / Ecosistema Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article