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      Air temperature optima of vegetation productivity across global biomes

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          Abstract

          The global distribution of the optimum air temperature for ecosystem-level gross primary productivity ( T o p t e c o ) is poorly understood, despite its importance for ecosystem carbon uptake under future warming. We provide empirical evidence for the existence of such an optimum, using measurements of in situ eddy covariance and satellite-derived proxies, and report its global distribution. T o p t e c o is consistently lower than the physiological optimum temperature of leaf-level photosynthetic capacity, which typically exceeds 30 °C. The global average T o p t e c o is estimated to be 23±6 ºC, with warmer regions having higher T o p t e c o values than colder regions. In tropical forests, particularly, T o p t e c o is close to growing-season air temperature and is projected to fall below it under all scenarios of future climate, suggesting a limited safe operating space for these ecosystems under future warming.

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          Most cited references62

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          A biochemical model of photosynthetic CO2 assimilation in leaves of C 3 species.

          Various aspects of the biochemistry of photosynthetic carbon assimilation in C3 plants are integrated into a form compatible with studies of gas exchange in leaves. These aspects include the kinetic properties of ribulose bisphosphate carboxylase-oxygenase; the requirements of the photosynthetic carbon reduction and photorespiratory carbon oxidation cycles for reduced pyridine nucleotides; the dependence of electron transport on photon flux and the presence of a temperature dependent upper limit to electron transport. The measurements of gas exchange with which the model outputs may be compared include those of the temperature and partial pressure of CO2(p(CO2)) dependencies of quantum yield, the variation of compensation point with temperature and partial pressure of O2(p(O2)), the dependence of net CO2 assimilation rate on p(CO2) and irradiance, and the influence of p(CO2) and irradiance on the temperature dependence of assimilation rate.
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            FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem–Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities

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              Photosynthetic Response and Adaptation to Temperature in Higher Plants

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                Author and article information

                Journal
                101698577
                46074
                Nat Ecol Evol
                Nat Ecol Evol
                Nature ecology & evolution
                2397-334X
                16 February 2019
                11 March 2019
                May 2019
                01 November 2019
                : 3
                : 5
                : 772-779
                Affiliations
                [1 ]Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
                [2 ]Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100085, China.
                [3 ]Center for Excellence in Tibetan Earth Science, Chinese Academy of Sciences, Beijing 100085, China.
                [4 ]Laboratoire des Sciences du Climat et de l’Environnement, CEA CNRS UVSQ, Gif-sur-Yvette 91191, France.
                [5 ]CREAF, Cerdanyola del Vallès, Barcelona 08193, Catalonia, Spain.
                [6 ]CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Barcelona 08193, Catalonia, Spain.
                [7 ]Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.
                [8 ]Department of Environmental Science, Policy and Management, UC Berkeley, Berkeley, California 94720, USA.
                [9 ]Department of Global Ecology, Carnegie Institution for Science, Stanford, California 94305, USA.
                [10 ]Climate Change Science Institute and Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
                [11 ]European Commission, Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy.
                [12 ]INRA, Université de Lorraine, AgroParisTech, UMR Silva, 54000 Nancy, France.
                [13 ]CAVElab Computational & Applied Vegetation Ecology, Facultyof Bioscience Engineering, Ghent University, Coupure Links 653, B-9000 Gent, Belgium.
                [14 ]Department of Biological Sciences, Northern Arizona University, Arizona, 86011, USA.
                [15 ]Department of Earth and Environment, Boston University, Boston, Massachusetts 02215, USA.
                [16 ]Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
                [17 ]School of Atmospheric Sciences, Center for Monsoon and Environment Research, Sun Yatsen University, Guangzhou 510275, China.
                [18 ]Environmental & Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973, USA.
                [19 ]Centre of Excellence PLECO (Plant and Vegetation Ecology), Department of Biology, University of Antwerp, Universiteitsplein 1, B-2610 Wilrijk, Belgium.
                Author notes

                Author contributions: S.L.P. designed the research; M.T.H. performed the analysis; S.L.P. drafted the paper; and all authors contributed to the interpretation of the results and to the text.

                [* ]Correspondence to: slpiao@ 123456pku.edu.cn
                Article
                NASAPA1520919
                10.1038/s41559-019-0838-x
                6491223
                30858592
                80ee252e-c8cc-4e9a-aeca-311f9e88c59f

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