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Large-scale climatic and geophysical controls on the leaf economics spectrum.
Asner, Gregory P; Knapp, David E; Anderson, Christopher B; Martin, Roberta E; Vaughn, Nicholas.
Afiliação
  • Asner GP; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305 gpa@carnegiescience.edu.
  • Knapp DE; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305.
  • Anderson CB; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305.
  • Martin RE; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305.
  • Vaughn N; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305.
Proc Natl Acad Sci U S A ; 113(28): E4043-51, 2016 07 12.
Article em En | MEDLINE | ID: mdl-27354534
Leaf economics spectrum (LES) theory suggests a universal trade-off between resource acquisition and storage strategies in plants, expressed in relationships between foliar nitrogen (N) and phosphorus (P), leaf mass per area (LMA), and photosynthesis. However, how environmental conditions mediate LES trait interrelationships, particularly at large biospheric scales, remains unknown because of a lack of spatially explicit data, which ultimately limits our understanding of ecosystem processes, such as primary productivity and biogeochemical cycles. We used airborne imaging spectroscopy and geospatial modeling to generate, to our knowledge, the first biospheric maps of LES traits, here centered on 76 million ha of Andean and Amazonian forest, to assess climatic and geophysical determinants of LES traits and their interrelationships. Elevation and substrate were codominant drivers of leaf trait distributions. Multiple additional climatic and geophysical factors were secondary determinants of plant traits. Anticorrelations between N and LMA followed general LES theory, but topo-edaphic conditions strongly mediated and, at times, eliminated this classic relationship. We found no evidence for simple P-LMA or N-P trade-offs in forest canopies; rather, we mapped a continuum of N-P-LMA interactions that are sensitive to elevation and temperature. Our results reveal nested climatic and geophysical filtering of LES traits and their interrelationships, with important implications for predictions of forest productivity and acclimation to rapid climate change.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Florestas / Clima / Folhas de Planta / Tecnologia de Sensoriamento Remoto Tipo de estudo: Health_economic_evaluation / Prognostic_studies País/Região como assunto: America do sul / Peru Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2016 Tipo de documento: Article País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Florestas / Clima / Folhas de Planta / Tecnologia de Sensoriamento Remoto Tipo de estudo: Health_economic_evaluation / Prognostic_studies País/Região como assunto: America do sul / Peru Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2016 Tipo de documento: Article País de publicação: Estados Unidos