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.

Water availability is a major control of vegetation dynamics and terrestrial carbon cycling. Here, the authors show that vegetation sensitivity to soil moisture has been increasing in the last 36 years, especially in (semi)arid areas, and that state-of-the-art land surface models fail to capture this trend.

Details

Title
Widespread increasing vegetation sensitivity to soil moisture
Author
Li, Wantong 1   VIAFID ORCID Logo  ; Migliavacca, Mirco 2 ; Forkel, Matthias 3   VIAFID ORCID Logo  ; Denissen, Jasper M. C. 4 ; Reichstein, Markus 5   VIAFID ORCID Logo  ; Yang, Hui 1 ; Duveiller, Gregory 1   VIAFID ORCID Logo  ; Weber, Ulrich 1   VIAFID ORCID Logo  ; Orth, Rene 1   VIAFID ORCID Logo 

 Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany (GRID:grid.419500.9) (ISNI:0000 0004 0491 7318) 
 Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany (GRID:grid.419500.9) (ISNI:0000 0004 0491 7318); Now at: European Commission, Joint Research Centre (JRC), Ispra, Italy (GRID:grid.434554.7) (ISNI:0000 0004 1758 4137) 
 Technische Universität Dresden, Institute of Photogrammetry and Remote Sensing, Dresden, Germany (GRID:grid.4488.0) (ISNI:0000 0001 2111 7257) 
 Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany (GRID:grid.419500.9) (ISNI:0000 0004 0491 7318); Wageningen University, Hydrology and Quantitative Water Management Group, Wageningen, The Netherlands (GRID:grid.4818.5) (ISNI:0000 0001 0791 5666) 
 Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany (GRID:grid.419500.9) (ISNI:0000 0004 0491 7318); Integrative Center for Biodiversity Research (iDIV), Leipzig, Germany (GRID:grid.419500.9) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2686426539
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.