Web of Science: 30 citations, Scopus: 34 citations, Google Scholar: citations,
Quantifying soil moisture impacts on light use efficiency across biomes
Stocker, Benjamin (Centre de Recerca Ecològica i Aplicacions Forestals)
Zscheischler, Jakob (ETH Zurich. Institute for Atmospheric and Climate Science)
Keenan, Trevor F. (UC Berkeley. Department of Environmental Science, Policy and Management)
Prentice, Iain Colin (Imperial College London. Department of Life Sciences)
Peñuelas, Josep (Centre de Recerca Ecològica i Aplicacions Forestals)
Seneviratne, Sonia I. (ETH Zurich. Institute for Atmospheric and Climate Science)

Date: 2018
Abstract: Terrestrial primary productivity and carbon cycle impacts of droughts are commonly quantified using vapour pressure deficit (VPD) data and remotely sensed greenness, without accounting for soil moisture. However, soil moisture limitation is known to strongly affect plant physiology. Here, we investigate light use efficiency, the ratio of gross primary productivity (GPP) to absorbed light. We derive its fractional reduction due to soil moisture (fLUE), separated from VPD and greenness changes, using artificial neural networks trained on eddy covariance data, multiple soil moisture datasets and remotely sensed greenness. This reveals substantial impacts of soil moisture alone that reduce GPP by up to 40% at sites located in sub-humid, semi-arid or arid regions. For sites in relatively moist climates, we find, paradoxically, a muted fLUE response to drying soil, but reduced fLUE under wet conditions. fLUE identifies substantial drought impacts that are not captured when relying solely on VPD and greenness changes and, when seasonally recurring, are missed by traditional, anomaly-based drought indices. Counter to common assumptions, fLUE reductions are largest in drought-deciduous vegetation, including grasslands. Our results highlight the necessity to account for soil moisture limitation in terrestrial primary productivity data products, especially for drought-related assessments.
Note: Número d'acord de subvenció EC/EC/H2020/701329
Note: Número d'acord de subvenció EC/FP7/610028
Note: Número d'acord de subvenció EC/FP7/17518
Note: Número d'acord de subvenció MINECO/CGL2016-79835-P
Note: Número d'acord de subvenció AGAUR/2014/SGR-274
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Language: Anglès.
Document: article ; recerca ; publishedVersion
Subject: Drought impacts ; Eddy covariance ; Gross primary productivity () ; Light use efficiency ; Photosynthesis ; Soil moisture ; Standardized precipitation index ; Vapour pressure deficit
Published in: New phytologist, Vol. 218, issue 4 (June 2018) , p. 1430-1449, ISSN 1469-8137

PMID: 29604221
DOI: 10.1111/nph.15123

20 p, 4.2 MB

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (scientific output) > Experimental sciences > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals) > Imbalance-P
Articles > Research articles
Articles > Published articles

 Record created 2018-06-18, last modified 2020-05-15

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