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Critical soil moisture thresholds of plant water stress in terrestrial ecosystems.
Fu, Zheng; Ciais, Philippe; Feldman, Andrew F; Gentine, Pierre; Makowski, David; Prentice, I Colin; Stoy, Paul C; Bastos, Ana; Wigneron, Jean-Pierre.
Afiliação
  • Fu Z; Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France.
  • Ciais P; Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France.
  • Feldman AF; NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD 20771, USA.
  • Gentine P; Department of Earth and Environmental Engineering, Columbia University, New York, NY 10027, USA.
  • Makowski D; Unit Applied Mathematics and Computer Science (UMR 518), INRAE, AgroParisTech, Université Paris-Saclay, Paris, France.
  • Prentice IC; Georgina Mace Centre for the Living Planet, Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot SL5 7PY, UK.
  • Stoy PC; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China.
  • Bastos A; Department of Biological Systems Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
  • Wigneron JP; Department Biogeochemical Integration, Max Planck Institute for Biogeochemistry, D-07745 Jena, Germany.
Sci Adv ; 8(44): eabq7827, 2022 Nov 04.
Article em En | MEDLINE | ID: mdl-36332021
ABSTRACT
Plant water stress occurs at the point when soil moisture (SM) limits transpiration, defining a critical SM threshold (θcrit). Knowledge of the spatial distribution of θcrit is crucial for future projections of climate and water resources. Here, we use global eddy covariance observations to quantify θcrit and evaporative fraction (EF) regimes. Three canonical variables describe how EF is controlled by SM the maximum EF (EFmax), θcrit, and slope (S) between EF and SM. We find systematic differences of these three variables across biomes. Variation in θcrit, S, and EFmax is mostly explained by soil texture, vapor pressure deficit, and precipitation, respectively, as well as vegetation structure. Dryland ecosystems tend to operate at low θcrit and show adaptation to water deficits. The negative relationship between θcrit and S indicates that dryland ecosystems minimize θcrit through mechanisms of sustained SM extraction and transport by xylem. Our results further suggest an optimal adaptation of local EF-SM response that maximizes growing-season evapotranspiration and photosynthesis.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Adv Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Adv Ano de publicação: 2022 Tipo de documento: Article