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Historical changes in the stomatal limitation of photosynthesis: empirical support for an optimality principle.
Lavergne, Aliénor; Voelker, Steve; Csank, Adam; Graven, Heather; de Boer, Hugo J; Daux, Valérie; Robertson, Iain; Dorado-Liñán, Isabel; Martínez-Sancho, Elisabet; Battipaglia, Giovanna; Bloomfield, Keith J; Still, Christopher J; Meinzer, Frederick C; Dawson, Todd E; Julio Camarero, J; Clisby, Rory; Fang, Yunting; Menzel, Annette; Keen, Rachel M; Roden, John S; Prentice, I Colin.
Afiliação
  • Lavergne A; Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, SL5 7PY, UK.
  • Voelker S; Department of Physics, Imperial College London, Exhibition Road, London, SW7 2AZ, UK.
  • Csank A; Department of Environmental and Forest Biology, SUNY College of Environmental Science and Forestry, Syracuse, NY, 13210, USA.
  • Graven H; Department of Geography, University of Nevada-Reno, 1664 N. Virginia St, Reno, NV, 89557, USA.
  • de Boer HJ; Department of Physics, Imperial College London, Exhibition Road, London, SW7 2AZ, UK.
  • Daux V; Grantham Institute - Climate Change and the Environment, Imperial College London, Exhibition Road, London, SW7 2AZ, UK.
  • Robertson I; Department of Environmental Sciences, Utrecht University, 3584 CB, Utrecht, the Netherlands.
  • Dorado-Liñán I; Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, 91191, Gif-sur-Yvette, France.
  • Martínez-Sancho E; Department of Geography, Swansea University, Swansea, SA2 8PP, UK.
  • Battipaglia G; Forest Genetics and Ecophysiology Research Group, Technical University of Madrid, Madrid, 28040, Spain.
  • Bloomfield KJ; Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, Birmensdorf, 8903, Switzerland.
  • Still CJ; Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "L. Vanvitelli", Via Vivaldi, 81100, Caserta, Italy.
  • Meinzer FC; Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, SL5 7PY, UK.
  • Dawson TE; Department of Forest Ecosystems & Society, Oregon State University, Corvallis, OR, 97331-5704, USA.
  • Julio Camarero J; USDA Forest Service, Pacific Northwest Research Station, Corvallis, OR, 97331-8550, USA.
  • Clisby R; Department of Integrative Biology, University of California - Berkeley, Berkeley, CA, 94720-3200, USA.
  • Fang Y; Instituto Pirenaico de Ecología (IPE-CSIC), E-50192, Zaragoza, Spain.
  • Menzel A; Department of Geography, Swansea University, Swansea, SA2 8PP, UK.
  • Keen RM; Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China.
  • Roden JS; Ecoclimatology, Department of Ecology and Ecosystem Management, Technical University of Munich, 85354, Freising, Germany.
  • Prentice IC; Division of Biology, Kansas State University, Manhattan, KS, 66506, USA.
New Phytol ; 225(6): 2484-2497, 2020 03.
Article em En | MEDLINE | ID: mdl-31696932
ABSTRACT
The ratio of leaf internal (ci ) to ambient (ca ) partial pressure of CO2 , defined here as χ, is an index of adjustments in both leaf stomatal conductance and photosynthetic rate to environmental conditions. Measurements and proxies of this ratio can be used to constrain vegetation model uncertainties for predicting terrestrial carbon uptake and water use. We test a theory based on the least-cost optimality hypothesis for modelling historical changes in χ over the 1951-2014 period, across different tree species and environmental conditions, as reconstructed from stable carbon isotopic measurements across a global network of 103 absolutely dated tree-ring chronologies. The theory predicts optimal χ as a function of air temperature, vapour pressure deficit, ca and atmospheric pressure. The theoretical model predicts 39% of the variance in χ values across sites and years, but underestimates the intersite variability in the reconstructed χ trends, resulting in only 8% of the variance in χ trends across years explained by the model. Overall, our results support theoretical predictions that variations in χ are tightly regulated by the four environmental drivers. They also suggest that explicitly accounting for the effects of plant-available soil water and other site-specific characteristics might improve the predictions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fotossíntese / Dióxido de Carbono Tipo de estudo: Prognostic_studies Idioma: En Revista: New Phytol Assunto da revista: BOTANICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fotossíntese / Dióxido de Carbono Tipo de estudo: Prognostic_studies Idioma: En Revista: New Phytol Assunto da revista: BOTANICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido