Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms (Articolo in rivista)

Type
Label
  • Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms (Articolo in rivista) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1111/j.1469-8137.2012.04095.x (literal)
Alternative label
  • Niu, Shuli; Luo, Yiqi; Fei, Shenfeng; Yuan, Wenping; Schimel, David; Law, Beverly E.; Ammann, Christof; Arain, M. Altaf; Arneth, Almut; Aubinet, Marc; Barr, Alan; Beringer, Jason; Bernhofer, Christian; Black, T. Andrew; Buchmann, Nina; Cescatti, Alessandro; Chen, Jiquan; Davis, Kenneth J.; Dellwik, Ebba; Desai, Ankur R.; Etzold, Sophia; Francois, Louis; Gianelle, Damiano; Gielen, Bert; Goldstein, Allen; Groenendijk, Margriet; Gu, Lianhong; Hanan, Niall; Helfter, Carole; Hirano, Takashi; Hollinger, David Y.; Jones, Mike B.; Kiely, Gerard; Kolb, Thomas E.; Kutsch, Werner L.; Lafleur, Peter; Lawrence, David M.; Li, Linghao; Lindroth, Anders; Litvak, Marcy; Loustau, Denis; Lund, Magnus; Marek, Michal; Martin, Timothy A.; Matteucci, Giorgio; Migliavacca, Mirco; Montagnani, Leonardo; Moors, Eddy; Munger, J. William; Noormets, Asko; Oechel, Walter; Olejnik, Janusz; Kyaw Tha Paw U; Pilegaard, Kim; Rambal, Serge; Raschi, Antonio; Scott, Russell L.; Seufert, Guenther; Spano, Donatella; Stoy, Paul; Sutton, Mark A.; Varlagin, Andrej; Vesala, Timo; Weng, Ensheng; Wohlfahrt, Georg; Yang, Bai; Zhang, Zhongda; Zhou, Xuhui (2012)
    Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms
    in New phytologist (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Niu, Shuli; Luo, Yiqi; Fei, Shenfeng; Yuan, Wenping; Schimel, David; Law, Beverly E.; Ammann, Christof; Arain, M. Altaf; Arneth, Almut; Aubinet, Marc; Barr, Alan; Beringer, Jason; Bernhofer, Christian; Black, T. Andrew; Buchmann, Nina; Cescatti, Alessandro; Chen, Jiquan; Davis, Kenneth J.; Dellwik, Ebba; Desai, Ankur R.; Etzold, Sophia; Francois, Louis; Gianelle, Damiano; Gielen, Bert; Goldstein, Allen; Groenendijk, Margriet; Gu, Lianhong; Hanan, Niall; Helfter, Carole; Hirano, Takashi; Hollinger, David Y.; Jones, Mike B.; Kiely, Gerard; Kolb, Thomas E.; Kutsch, Werner L.; Lafleur, Peter; Lawrence, David M.; Li, Linghao; Lindroth, Anders; Litvak, Marcy; Loustau, Denis; Lund, Magnus; Marek, Michal; Martin, Timothy A.; Matteucci, Giorgio; Migliavacca, Mirco; Montagnani, Leonardo; Moors, Eddy; Munger, J. William; Noormets, Asko; Oechel, Walter; Olejnik, Janusz; Kyaw Tha Paw U; Pilegaard, Kim; Rambal, Serge; Raschi, Antonio; Scott, Russell L.; Seufert, Guenther; Spano, Donatella; Stoy, Paul; Sutton, Mark A.; Varlagin, Andrej; Vesala, Timo; Weng, Ensheng; Wohlfahrt, Georg; Yang, Bai; Zhang, Zhongda; Zhou, Xuhui (literal)
Pagina inizio
  • 775 (literal)
Pagina fine
  • 783 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 194 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 9 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 3 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • University of Oklahoma; Fudan University; Beijing Normal University; NEON Inc; Oregon State University; Fed Res Stn Agroscope Reckenholz Tanikon; McMaster University; Lund University; Karlsruhe Institute of Technology; University of Liege; Environm Canada; Monash University; Dresden University of Technology; University of British Columbia; Swiss Federal Institute of Technology Zurich; European Commiss; University of Toledo; Penn State University; Technical University of Denmark; University of Wisconsin Madison; University of Liege; Fondazione Edmund Mach; University of Antwerp; Lawrence Berkeley National Laboratory; VU University Amsterdam; Oak Ridge National Laboratory; South Dakota State University; NERC Centre for Ecology & Hydrology; Hokkaido University; United States Department of Agriculture (USDA); Trinity College Dublin; University College Cork; Northern Arizona University; Johann Heinrich von Thunen Inst vTI; Trent University; National Center Atmospheric Research (NCAR) - USA; Chinese Academy of Sciences; University of New Mexico; Institut National de la Recherche Agronomique (INRA); Czech Academy of Sciences; Florida State University System; Consiglio Nazionale delle Ricerche (CNR); Agenzia Ambiente; Free University of Bozen-Bolzano; Wageningen University & Research Center; Harvard University; North Carolina State University; California State University System; PULS; University of California Davis; Technical University of Denmark; CIRAD; CNR Inst Biometeorol IBIMET; United States Department of Agriculture (USDA); University of Sassari; Montana State University; Russian Academy of Sciences; University of Helsinki; University of Innsbruck (literal)
Titolo
  • Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms (literal)
Abstract
  • 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. (literal)
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