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Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms Public Deposited

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  • It is well established that individual organisms can acclimate and adapt to temperature to optimize their functioning. However, thermal optimization of ecosystems, as an assemblage of organisms, has not been examined at broad spatial and temporal scales. Here, we compiled data from 169 globally distributed sites of eddy covariance and quantified the temperature response functions of net ecosystem exchange (NEE), an ecosystem-level property, to determine whether NEE shows thermal optimality and to explore the underlying mechanisms. We found that the temperature response of NEE followed a peak curve, with the optimum temperature (corresponding to the maximum magnitude of NEE) being positively correlated with annual mean temperature over years and across sites. Shifts of the optimum temperature of NEE were mostly a result of temperature acclimation of gross primary productivity (upward shift of optimum temperature) rather than changes in the temperature sensitivity of ecosystem respiration. Ecosystem-level thermal optimality is a newly revealed ecosystem property, presumably reflecting associated evolutionary adaptation of organisms within ecosystems, and has the potential to significantly regulate ecosystemclimate change feedbacks. The thermal optimality of NEE has implications for understanding fundamental properties of ecosystems in changing environments and benchmarking global models.
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  • Niu, S., Aubinet, M., Barr, A., Beringer, J., Bernhofer, C., Black, T. A., . . . . (2012). Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms. The New Phytologist, 194(3), 775-783. doi: 10.1111/j.1469-8137.2012.04095.x
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  • 194
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  • 3
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  • This work was financially supported by the Terrestrial Carbon Program at the Office of Science, US Department of Energy, grants DE-FG02-006ER64317 and the US National Science Foundation (NSF), grant DEB 0444518, DEB 0743778, DEB 0840964, DBI 0850290, and EPS 0919466 to Y.L. We used the eddy covariance data acquired by the FLUXNET community and, in particular, by the following networks: AmeriFlux (US Department of Energy, Biological and Environmental Research, Terrestrial Carbon Program (DE-FG02-04ER63917 and DE-FG02-04ER63911)), GHG-Europe, Fluxnet-Canada Research Network and Canadian Carbon Program (supported by CFCAS, NSERC, BIOCAP, Environment Canada, and NRCan), GreenGrass, KoFlux, LBA, NECC, OzFlux, TCOS-Siberia, and USCCC. We acknowledge the financial support to the eddy covariance data harmonization provided by the Office of Science US Department of Energy for AmeriFlux, CarboEuropeIP, FAP-GTOS-TCO, iLEAPS, NitroEurope, Max Planck Institute for Biogeochemistry, National Science Foundation, University of Tuscia, Universite Laval and Environment Canada, and database development and technical support from the Berkeley Water Center, Lawrence Berkeley National Laboratory, and Microsoft Research eScience.
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  • description.provenance : Approved for entry into archive by Deborah Campbell(deborah.campbell@oregonstate.edu) on 2013-01-28T22:39:28Z (GMT) No. of bitstreams: 1 LawBeverlyEForestEcosystemsSocietyThermalOptimalityNet.pdf: 1529980 bytes, checksum: 100a83ab163c44ec25bbab2ad600d310 (MD5)
  • description.provenance : Submitted by Deborah Campbell (deborah.campbell@oregonstate.edu) on 2013-01-28T22:37:31Z No. of bitstreams: 1 LawBeverlyEForestEcosystemsSocietyThermalOptimalityNet.pdf: 1529980 bytes, checksum: 100a83ab163c44ec25bbab2ad600d310 (MD5)
  • description.provenance : Made available in DSpace on 2013-01-28T22:39:28Z (GMT). No. of bitstreams: 1 LawBeverlyEForestEcosystemsSocietyThermalOptimalityNet.pdf: 1529980 bytes, checksum: 100a83ab163c44ec25bbab2ad600d310 (MD5) Previous issue date: 2012-03-07

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