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dc.creatorSmith, Nicholas G.
dc.creatorKeenan, Trevor F.
dc.creatorPrentice, I. Colin
dc.creatorWang, Han
dc.creatorWright, Ian J.
dc.creatorNiinemets, Ülo
dc.creatorCrous, Kristine Y.
dc.creatorDomingues, Tomas F.
dc.creatorGuerrieri, Rossella
dc.creatorIshida, F. Yoko
dc.creatorKattge, Jens
dc.creatorKruger, Eric L.
dc.creatorMaire, Vincent
dc.creatorRogers, Alistair
dc.creatorSerbin, Shawn P.
dc.creatorTarvainen, Lasse
dc.creatorTogashi, Henrique F.
dc.creatorTownsend, Philip A.
dc.creatorWang, Meng
dc.creatorWeerasinghe, Lasantha K.
dc.creatorZhou, Shuang-Xi
dc.date.accessioned2021-05-03T20:37:18Z
dc.date.available2021-05-03T20:37:18Z
dc.date.issued2019
dc.identifier.citationSmith, NG, TF Keenan, IC Prentice, H Wang, IJ Wright, Ü Niinemets, KY Crous, TF Domingues, R Guerrieri, FY Ishida, J Kattge, EL Kruger, V Maire, A Rogers, SP Serbin, L Tarvainen, HF Togashi, PA Townsend, M Wang, LK Weerasinghe, and S Zhou (2019). Global photosynthetic capacity is optimized to the environment. Ecology Letters 22(3): 506-517. https://doi.org/10.1111/ele.13210en_US
dc.identifier.urihttps://doi.org/10.1111/ele.13210
dc.identifier.urihttps://hdl.handle.net/2346/86919
dc.description.abstractEarth system models (ESMs) use photosynthetic capacity, indexed by the maximum Rubisco carboxylation rate (Vcmax), to simulate carbon assimilation and typically rely on empirical estimates, including an assumed dependence on leaf nitrogen determined from soil fertility. In contrast, new theory, based on biochemical coordination and co‐optimization of carboxylation and water costs for photosynthesis, suggests that optimal Vcmax can be predicted from climate alone, irrespective of soil fertility. Here, we develop this theory and find it captures 64% of observed variability in a global, field‐measured Vcmax dataset for C3 plants. Soil fertility indices explained substantially less variation (32%). These results indicate that environmentally regulated biophysical constraints and light availability are the first‐order drivers of global photosynthetic capacity. Through acclimation and adaptation, plants efficiently utilize resources at the leaf level, thus maximizing potential resource use for growth and reproduction. Our theory offers a robust strategy for dynamically predicting photosynthetic capacity in ESMs.en_US
dc.language.isoengen_US
dc.subjectCarbon Cycleen_US
dc.subjectCarboxylationen_US
dc.subjectCoordinationen_US
dc.subjectEcophysiologyen_US
dc.subjectElectron Transporten_US
dc.subjectJmaxen_US
dc.subjectLight Availabilityen_US
dc.subjectNitrogen Availabilityen_US
dc.subjectTemperatureen_US
dc.subjectVcmaxen_US
dc.titleGlobal photosynthetic capacity is optimized to the environmenten_US
dc.typeArticleen_US


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