WangPrenticeKeenanEtAl2017

Référence

Wang, H., Prentice, I.C., Keenan, T.F., Davis, T.W., Wright, I.J., Cornwell, W.K., Evans, B.J., Peng, C. (2017) Towards a universal model for carbon dioxide uptake by plants /704/47 /704/158/851 letter. Nature Plants, 3(9):734-741. (Scopus )

Résumé

Gross primary production (GPP) - the uptake of carbon dioxide (CO2) by leaves, and its conversion to sugars by photosynthesis - is the basis for life on land. Earth System Models (ESMs) incorporating the interactions of land ecosystems and climate are used to predict the future of the terrestrial sink for anthropogenic CO2 1 . ESMs require accurate representation of GPP. However, current ESMs disagree on how GPP responds to environmental variations 1,2, suggesting a need for a more robust theoretical framework for modelling 3,4 . Here, we focus on a key quantity for GPP, the ratio of leaf internal to external CO2 (χ). χ is tightly regulated and depends on environmental conditions, but is represented empirically and incompletely in today's models. We show that a simple evolutionary optimality hypothesis 5,6 predicts specific quantitative dependencies of χ on temperature, vapour pressure deficit and elevation; and that these same dependencies emerge from an independent analysis of empirical χ values, derived from a worldwide dataset of >3,500 leaf stable carbon isotope measurements. A single global equation embodying these relationships then unifies the empirical light-use efficiency model 7 with the standard model of C3 photosynthesis 8, and successfully predicts GPP measured at eddy-covariance flux sites. This success is notable given the equation's simplicity and broad applicability across biomes and plant functional types. It provides a theoretical underpinning for the analysis of plant functional coordination across species and emergent properties of ecosystems, and a potential basis for the reformulation of the controls of GPP in next-generation ESMs. © 2017 The Author(s).

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@ARTICLE { WangPrenticeKeenanEtAl2017,
    AUTHOR = { Wang, H. and Prentice, I.C. and Keenan, T.F. and Davis, T.W. and Wright, I.J. and Cornwell, W.K. and Evans, B.J. and Peng, C. },
    TITLE = { Towards a universal model for carbon dioxide uptake by plants /704/47 /704/158/851 letter },
    JOURNAL = { Nature Plants },
    YEAR = { 2017 },
    VOLUME = { 3 },
    NUMBER = { 9 },
    PAGES = { 734-741 },
    NOTE = { cited By 1 },
    ABSTRACT = { Gross primary production (GPP) - the uptake of carbon dioxide (CO2) by leaves, and its conversion to sugars by photosynthesis - is the basis for life on land. Earth System Models (ESMs) incorporating the interactions of land ecosystems and climate are used to predict the future of the terrestrial sink for anthropogenic CO2 1 . ESMs require accurate representation of GPP. However, current ESMs disagree on how GPP responds to environmental variations 1,2, suggesting a need for a more robust theoretical framework for modelling 3,4 . Here, we focus on a key quantity for GPP, the ratio of leaf internal to external CO2 (χ). χ is tightly regulated and depends on environmental conditions, but is represented empirically and incompletely in today's models. We show that a simple evolutionary optimality hypothesis 5,6 predicts specific quantitative dependencies of χ on temperature, vapour pressure deficit and elevation; and that these same dependencies emerge from an independent analysis of empirical χ values, derived from a worldwide dataset of >3,500 leaf stable carbon isotope measurements. A single global equation embodying these relationships then unifies the empirical light-use efficiency model 7 with the standard model of C3 photosynthesis 8, and successfully predicts GPP measured at eddy-covariance flux sites. This success is notable given the equation's simplicity and broad applicability across biomes and plant functional types. It provides a theoretical underpinning for the analysis of plant functional coordination across species and emergent properties of ecosystems, and a potential basis for the reformulation of the controls of GPP in next-generation ESMs. © 2017 The Author(s). },
    AFFILIATION = { State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, College of Forestry, Northwest A and F University, Yangling, Shaanxi, China; Department of Biological Sciences, Macquarie University, North Ryde, NSW, Australia; Ecosystems Services and Management Program, International Institute for Applied Systems Analysis, Laxenburg, Luxembourg; AXA Chr. of Biosphere and Climate Impacts, Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, United Kingdom; Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, United States; United States Department of Agriculture-Agricultural Research Service, Robert W. Holley Center for Agriculture and Health, Ithaca, NY, United States; Ecology and Evolution Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Randwick, NSW, Australia; Faculty of Agriculture and Environment, Department of Environmental Sciences, University of Sydney, Sydney, NSW, Australia; Department of Biological Sciences, Institute of Environmental Sciences, University of Quebec at Montreal, C.P. 8888, Succ. Centre-Ville, Montréal, QC, Canada },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1038/s41477-017-0006-8 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028912231&doi=10.1038%2fs41477-017-0006-8&partnerID=40&md5=9fb79e0fbcf4f31b1cd992e328087e10 },
}

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