Abstract

Dryness stress can limit vegetation growth and is often characterized by low soil moisture (SM) and high atmospheric water demand (vapor pressure deficit, VPD). However, the relative role of SM and VPD in limiting ecosystem production remains debated and is difficult to disentangle, as SM and VPD are coupled through land-atmosphere interactions, hindering the ability to predict ecosystem responses to dryness. Here, we combine satellite observations of solar-induced fluorescence with estimates of SM and VPD and show that SM is the dominant driver of dryness stress on ecosystem production across more than 70% of vegetated land areas with valid data. Moreover, after accounting for SM-VPD coupling, VPD effects on ecosystem production are much smaller across large areas. We also find that SM stress is strongest in semi-arid ecosystems. Our results clarify a longstanding question and open new avenues for improving models to allow a better management of drought risk.

Dryness stresses vegetation and can lead to declines in productivity, increased emission of carbon, and plant mortality, but the drivers of this stress remain unclear. Here the authors show that soil moisture plays a dominant role relative to atmospheric water demand over most global land vegetated areas.

Details

Title
Soil moisture dominates dryness stress on ecosystem production globally
Author
Liu Laibao 1   VIAFID ORCID Logo  ; Gudmundsson Lukas 2   VIAFID ORCID Logo  ; Hauser, Mathias 2   VIAFID ORCID Logo  ; Qin Dahe 3 ; Li Shuangcheng 3 ; Seneviratne, Sonia I 2   VIAFID ORCID Logo 

 ETH Zurich, Institute for Atmospheric and Climate Science, Zurich, Switzerland (GRID:grid.5801.c) (ISNI:0000 0001 2156 2780); Peking University, College of Urban and Environmental Sciences, Beijing, China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) 
 ETH Zurich, Institute for Atmospheric and Climate Science, Zurich, Switzerland (GRID:grid.5801.c) (ISNI:0000 0001 2156 2780) 
 Peking University, College of Urban and Environmental Sciences, Beijing, China (GRID:grid.11135.37) (ISNI:0000 0001 2256 9319) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2642177656
Copyright
© The Author(s) 2020. 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.