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

Shuli Niu, Yiqi Luo, Shenfeng Fei, Wenping Yuan, David Schimel, Beverly E. Law, Christof Ammann, M. Altaf Arain, Almut Arneth, Marc Aubinet, Alan Barr, Jason Beringer, Christian Bernhofer, T. Andrew Black, Nina Buchmann, Alessandro Cescatti, Jiquan Chen, Kenneth J. Davis, Ebba Dellwik, Ankur R. DesaiSophia Etzold, Louis Francois, Damiano Gianelle, Bert Gielen, Allen Goldstein, Margriet Groenendijk, Lianhong Gu, Niall Hanan, Carole Helfter, Takashi Hirano, David Y. Hollinger, Mike B. Jones, Gerard Kiely, Thomas E Kolb, Werner L. Kutsch, Peter Lafleur, David M. Lawrence, Linghao Li, Anders Lindroth, Marcy Litvak, Denis Loustau, Magnus Lund, Michal Marek, Timothy A. Martin, Giorgio Matteucci, Mirco Migliavacca, Leonardo Montagnani, Eddy Moors, J. William Munger, Asko Noormets, Walter Oechel, Janusz Olejnik, Kyaw Tha Paw U, Kim Pilegaard, Serge Rambal, Antonio Raschi, Russell L. Scott, Günther Seufert, Donatella Spano, Paul Stoy, Mark A. Sutton, Andrej Varlagin, Timo Vesala, Ensheng Weng, Georg Wohlfahrt, Bai Yang, Zhongda Zhang, Xuhui Zhou

Research output: Contribution to journalArticle

49 Citations (Scopus)

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 ecosystem-climate change feedbacks. The thermal optimality of NEE has implications for understanding fundamental properties of ecosystems in changing environments and benchmarking global models.

Original languageEnglish (US)
Pages (from-to)775-783
Number of pages9
JournalNew Phytologist
Volume194
Issue number3
DOIs
StatePublished - May 2012

Fingerprint

net ecosystem exchange
Carbon Dioxide
Ecosystem
Hot Temperature
carbon dioxide
heat
ecosystems
temperature
Temperature
organisms
evolutionary adaptation
ecosystem respiration
eddy covariance
primary productivity
acclimation
Benchmarking
Climate Change
Acclimatization
climate change

Keywords

  • Climate change
  • Optimum temperature
  • Temperature acclimation
  • Temperature adaptation
  • Thermal optimality

ASJC Scopus subject areas

  • Plant Science
  • Physiology

Cite this

Niu, S., Luo, Y., Fei, S., Yuan, W., Schimel, D., Law, B. E., ... Zhou, X. (2012). Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms. New Phytologist, 194(3), 775-783. https://doi.org/10.1111/j.1469-8137.2012.04095.x

Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms. / Niu, Shuli; Luo, Yiqi; Fei, Shenfeng; Yuan, Wenping; Schimel, David; Law, Beverly E.; Ammann, Christof; Altaf Arain, M.; Arneth, Almut; Aubinet, Marc; Barr, Alan; Beringer, Jason; Bernhofer, Christian; Andrew Black, T.; 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; William Munger, J.; Noormets, Asko; Oechel, Walter; Olejnik, Janusz; U, Kyaw Tha Paw; Pilegaard, Kim; Rambal, Serge; Raschi, Antonio; Scott, Russell L.; Seufert, Günther; Spano, Donatella; Stoy, Paul; Sutton, Mark A.; Varlagin, Andrej; Vesala, Timo; Weng, Ensheng; Wohlfahrt, Georg; Yang, Bai; Zhang, Zhongda; Zhou, Xuhui.

In: New Phytologist, Vol. 194, No. 3, 05.2012, p. 775-783.

Research output: Contribution to journalArticle

Niu, S, Luo, Y, Fei, S, Yuan, W, Schimel, D, Law, BE, Ammann, C, Altaf Arain, M, Arneth, A, Aubinet, M, Barr, A, Beringer, J, Bernhofer, C, Andrew Black, T, Buchmann, N, Cescatti, A, Chen, J, Davis, KJ, Dellwik, E, Desai, AR, Etzold, S, Francois, L, Gianelle, D, Gielen, B, Goldstein, A, Groenendijk, M, Gu, L, Hanan, N, Helfter, C, Hirano, T, Hollinger, DY, Jones, MB, Kiely, G, Kolb, TE, Kutsch, WL, Lafleur, P, Lawrence, DM, Li, L, Lindroth, A, Litvak, M, Loustau, D, Lund, M, Marek, M, Martin, TA, Matteucci, G, Migliavacca, M, Montagnani, L, Moors, E, William Munger, J, Noormets, A, Oechel, W, Olejnik, J, U, KTP, Pilegaard, K, Rambal, S, Raschi, A, Scott, RL, Seufert, G, Spano, D, Stoy, P, Sutton, MA, Varlagin, A, Vesala, T, Weng, E, Wohlfahrt, G, Yang, B, Zhang, Z & Zhou, X 2012, 'Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms', New Phytologist, vol. 194, no. 3, pp. 775-783. https://doi.org/10.1111/j.1469-8137.2012.04095.x
Niu, Shuli ; Luo, Yiqi ; Fei, Shenfeng ; Yuan, Wenping ; Schimel, David ; Law, Beverly E. ; Ammann, Christof ; Altaf Arain, M. ; Arneth, Almut ; Aubinet, Marc ; Barr, Alan ; Beringer, Jason ; Bernhofer, Christian ; Andrew Black, T. ; 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 ; William Munger, J. ; Noormets, Asko ; Oechel, Walter ; Olejnik, Janusz ; U, Kyaw Tha Paw ; Pilegaard, Kim ; Rambal, Serge ; Raschi, Antonio ; Scott, Russell L. ; Seufert, Günther ; Spano, Donatella ; Stoy, Paul ; Sutton, Mark A. ; Varlagin, Andrej ; Vesala, Timo ; Weng, Ensheng ; Wohlfahrt, Georg ; Yang, Bai ; Zhang, Zhongda ; Zhou, Xuhui. / Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms. In: New Phytologist. 2012 ; Vol. 194, No. 3. pp. 775-783.
@article{1fffe88da8fc4a518774f29f0e92a05d,
title = "Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms",
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 ecosystem-climate change feedbacks. The thermal optimality of NEE has implications for understanding fundamental properties of ecosystems in changing environments and benchmarking global models.",
keywords = "Climate change, Optimum temperature, Temperature acclimation, Temperature adaptation, Thermal optimality",
author = "Shuli Niu and Yiqi Luo and Shenfeng Fei and Wenping Yuan and David Schimel and Law, {Beverly E.} and Christof Ammann and {Altaf Arain}, M. and Almut Arneth and Marc Aubinet and Alan Barr and Jason Beringer and Christian Bernhofer and {Andrew Black}, T. and Nina Buchmann and Alessandro Cescatti and Jiquan Chen and Davis, {Kenneth J.} and Ebba Dellwik and Desai, {Ankur R.} and Sophia Etzold and Louis Francois and Damiano Gianelle and Bert Gielen and Allen Goldstein and Margriet Groenendijk and Lianhong Gu and Niall Hanan and Carole Helfter and Takashi Hirano and Hollinger, {David Y.} and Jones, {Mike B.} and Gerard Kiely and Kolb, {Thomas E} and Kutsch, {Werner L.} and Peter Lafleur and Lawrence, {David M.} and Linghao Li and Anders Lindroth and Marcy Litvak and Denis Loustau and Magnus Lund and Michal Marek and Martin, {Timothy A.} and Giorgio Matteucci and Mirco Migliavacca and Leonardo Montagnani and Eddy Moors and {William Munger}, J. and Asko Noormets and Walter Oechel and Janusz Olejnik and U, {Kyaw Tha Paw} and Kim Pilegaard and Serge Rambal and Antonio Raschi and Scott, {Russell L.} and G{\"u}nther Seufert and Donatella Spano and Paul Stoy and Sutton, {Mark A.} and Andrej Varlagin and Timo Vesala and Ensheng Weng and Georg Wohlfahrt and Bai Yang and Zhongda Zhang and Xuhui Zhou",
year = "2012",
month = "5",
doi = "10.1111/j.1469-8137.2012.04095.x",
language = "English (US)",
volume = "194",
pages = "775--783",
journal = "New Phytologist",
issn = "0028-646X",
publisher = "Wiley-Blackwell",
number = "3",

}

TY - JOUR

T1 - Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms

AU - Niu, Shuli

AU - Luo, Yiqi

AU - Fei, Shenfeng

AU - Yuan, Wenping

AU - Schimel, David

AU - Law, Beverly E.

AU - Ammann, Christof

AU - Altaf Arain, M.

AU - Arneth, Almut

AU - Aubinet, Marc

AU - Barr, Alan

AU - Beringer, Jason

AU - Bernhofer, Christian

AU - Andrew Black, T.

AU - Buchmann, Nina

AU - Cescatti, Alessandro

AU - Chen, Jiquan

AU - Davis, Kenneth J.

AU - Dellwik, Ebba

AU - Desai, Ankur R.

AU - Etzold, Sophia

AU - Francois, Louis

AU - Gianelle, Damiano

AU - Gielen, Bert

AU - Goldstein, Allen

AU - Groenendijk, Margriet

AU - Gu, Lianhong

AU - Hanan, Niall

AU - Helfter, Carole

AU - Hirano, Takashi

AU - Hollinger, David Y.

AU - Jones, Mike B.

AU - Kiely, Gerard

AU - Kolb, Thomas E

AU - Kutsch, Werner L.

AU - Lafleur, Peter

AU - Lawrence, David M.

AU - Li, Linghao

AU - Lindroth, Anders

AU - Litvak, Marcy

AU - Loustau, Denis

AU - Lund, Magnus

AU - Marek, Michal

AU - Martin, Timothy A.

AU - Matteucci, Giorgio

AU - Migliavacca, Mirco

AU - Montagnani, Leonardo

AU - Moors, Eddy

AU - William Munger, J.

AU - Noormets, Asko

AU - Oechel, Walter

AU - Olejnik, Janusz

AU - U, Kyaw Tha Paw

AU - Pilegaard, Kim

AU - Rambal, Serge

AU - Raschi, Antonio

AU - Scott, Russell L.

AU - Seufert, Günther

AU - Spano, Donatella

AU - Stoy, Paul

AU - Sutton, Mark A.

AU - Varlagin, Andrej

AU - Vesala, Timo

AU - Weng, Ensheng

AU - Wohlfahrt, Georg

AU - Yang, Bai

AU - Zhang, Zhongda

AU - Zhou, Xuhui

PY - 2012/5

Y1 - 2012/5

N2 - 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 ecosystem-climate change feedbacks. The thermal optimality of NEE has implications for understanding fundamental properties of ecosystems in changing environments and benchmarking global models.

AB - 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 ecosystem-climate change feedbacks. The thermal optimality of NEE has implications for understanding fundamental properties of ecosystems in changing environments and benchmarking global models.

KW - Climate change

KW - Optimum temperature

KW - Temperature acclimation

KW - Temperature adaptation

KW - Thermal optimality

UR - http://www.scopus.com/inward/record.url?scp=84859586429&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84859586429&partnerID=8YFLogxK

U2 - 10.1111/j.1469-8137.2012.04095.x

DO - 10.1111/j.1469-8137.2012.04095.x

M3 - Article

C2 - 22404566

AN - SCOPUS:84859586429

VL - 194

SP - 775

EP - 783

JO - New Phytologist

JF - New Phytologist

SN - 0028-646X

IS - 3

ER -