TY  - JOUR
  - Niu, SL,Luo, YQ,Fei, SF,Yuan, WP,Schimel, D,Law, BE,Ammann, C,Arain, MA,Arneth, A,Aubinet, M,Barr, A,Beringer, J,Bernhofer, C,Black, TA,Buchmann, N,Cescatti, A,Chen, JQ,Davis, KJ,Dellwik, E,Desai, AR,Etzold, S,Francois, L,Gianelle, D,Gielen, B,Goldstein, A,Groenendijk, M,Gu, LH,Hanan, N,Helfter, C,Hirano, T,Hollinger, DY,Jones, MB,Kiely, G,Kolb, TE,Kutsch, WL,Lafleur, P,Lawrence, DM,Li, LH,Lindroth, A,Litvak, M,Loustau, D,Lund, M,Marek, M,Martin, TA,Matteucci, G,Migliavacca, M,Montagnani, L,Moors, E,Munger, JW,Noormets, A,Oechel, W,Olejnik, J,Kyaw, TPU,Pilegaard, K,Rambal, S,Raschi, A,Scott, RL,Seufert, G,Spano, D,Stoy, P,Sutton, MA,Varlagin, A,Vesala, T,Weng, ES,Wohlfahrt, G,Yang, B,Zhang, ZD,Zhou, XH
  - 2012
  - January
  - New Phytologist
  - Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms
  - Validated
  - ()
  - climate change optimum temperature temperature acclimation temperature adaptation thermal optimality TEMPERATURE-DEPENDENCE SOIL RESPIRATION EUROPEAN FORESTS CYCLE FEEDBACK PONDEROSA PINE CO2 FLUXES CLIMATE PHOTOSYNTHESIS ACCLIMATION RESPONSES
  - 194
  - 775
  - 783
  - 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.
  - DOI 10.1111/j.1469-8137.2012.04095.x
DA  - 2012/01
ER  - 

@article{V146554540,
   = {Niu,  SL and Luo,  YQ and Fei,  SF and Yuan,  WP and Schimel,  D and Law,  BE and Ammann,  C and Arain,  MA and Arneth,  A and Aubinet,  M and Barr,  A and Beringer,  J and Bernhofer,  C and Black,  TA and Buchmann,  N and Cescatti,  A and Chen,  JQ and Davis,  KJ and Dellwik,  E and Desai,  AR and Etzold,  S and Francois,  L and Gianelle,  D and Gielen,  B and Goldstein,  A and Groenendijk,  M and Gu,  LH and Hanan,  N and Helfter,  C and Hirano,  T and Hollinger,  DY and Jones,  MB and Kiely,  G and Kolb,  TE and Kutsch,  WL and Lafleur,  P and Lawrence,  DM and Li,  LH and Lindroth,  A and Litvak,  M and Loustau,  D and Lund,  M and Marek,  M and Martin,  TA and Matteucci,  G and Migliavacca,  M and Montagnani,  L and Moors,  E and Munger,  JW and Noormets,  A and Oechel,  W and Olejnik,  J and Kyaw,  TPU and Pilegaard,  K and Rambal,  S and Raschi,  A and Scott,  RL and Seufert,  G and Spano,  D and Stoy,  P and Sutton,  MA and Varlagin,  A and Vesala,  T and Weng,  ES and Wohlfahrt,  G and Yang,  B and Zhang,  ZD and Zhou,  XH },
   = {2012},
   = {January},
   = {New Phytologist},
   = {Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms},
   = {Validated},
   = {()},
   = {climate change optimum temperature temperature acclimation temperature adaptation thermal optimality TEMPERATURE-DEPENDENCE SOIL RESPIRATION EUROPEAN FORESTS CYCLE FEEDBACK PONDEROSA PINE CO2 FLUXES CLIMATE PHOTOSYNTHESIS ACCLIMATION RESPONSES},
   = {194},
  pages = {775--783},
   = {{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.}},
   = {DOI 10.1111/j.1469-8137.2012.04095.x},
  source = {IRIS}
}