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Increased hydraulic risk in assemblages of woody plant species predicts spatial patterns of drought-induced mortality.
Sanchez-Martinez, Pablo; Mencuccini, Maurizio; García-Valdés, Raúl; Hammond, William M; Serra-Diaz, Josep M; Guo, Wen-Yong; Segovia, Ricardo A; Dexter, Kyle G; Svenning, Jens-Christian; Allen, Craig; Martínez-Vilalta, Jordi.
Afiliação
  • Sanchez-Martinez P; Universitat Autònoma de Barcelona, Cerdanyola del Valles, Barcelona, Spain. p.sanchez@creaf.uab.cat.
  • Mencuccini M; CREAF, Cerdanyola del Valles, Barcelona, Spain. p.sanchez@creaf.uab.cat.
  • García-Valdés R; School of GeoSciences, University of Edinburgh, Edinburgh, UK. p.sanchez@creaf.uab.cat.
  • Hammond WM; CREAF, Cerdanyola del Valles, Barcelona, Spain.
  • Serra-Diaz JM; ICREA, Barcelona, Spain.
  • Guo WY; CREAF, Cerdanyola del Valles, Barcelona, Spain.
  • Segovia RA; Department of Biology and Geology, Physics and Inorganic Chemistry, Rey Juan Carlos University, Móstoles, Madrid, Spain.
  • Dexter KG; Agronomy Department, University of Florida, Gainesville, FL, USA.
  • Svenning JC; Université de Lorraine, AgroParisTech, INRAE, Nancy, France.
  • Allen C; Eversource Energy Center, University of Connecticut, Storrs, CT, USA.
  • Martínez-Vilalta J; Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA.
Nat Ecol Evol ; 7(10): 1620-1632, 2023 10.
Article em En | MEDLINE | ID: mdl-37640766
ABSTRACT
Predicting drought-induced mortality (DIM) of woody plants remains a key research challenge under climate change. Here, we integrate information on the edaphoclimatic niches, phylogeny and hydraulic traits of species to model the hydraulic risk of woody plants globally. We combine these models with species distribution records to estimate the hydraulic risk faced by local woody plant species assemblages. Thus, we produce global maps of hydraulic risk and test for its relationship with observed DIM. Our results show that local assemblages modelled as having higher hydraulic risk present a higher probability of DIM. Metrics characterizing this hydraulic risk improve DIM predictions globally, relative to models accounting only for edaphoclimatic predictors or broad functional groupings. The methodology we present here allows mapping of functional trait distributions and elucidation of global macro-evolutionary and biogeographical patterns, improving our ability to predict potential global change impacts on vegetation.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Secas Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Secas Idioma: En Ano de publicação: 2023 Tipo de documento: Article