TY - JOUR

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

A1 - Niu,Shuli

A1 - Luo,Yiqi

A1 - Fei,Shenfeng

A1 - Yuan,Wenping

A1 - Schimel,David

A1 - Law,Beverly E.

A1 - Ammann,Christof

A1 - Altaf Arain,M.

A1 - Arneth,Almut

A1 - Aubinet,Marc

A1 - Barr,Alan

A1 - Beringer,Jason

A1 - Bernhofer,Christian

A1 - Andrew Black,T.

A1 - Buchmann,Nina

A1 - Cescatti,Alessandro

A1 - Chen,Jiquan

A1 - Davis,Kenneth J.

A1 - Dellwik,Ebba

A1 - Desai,Ankur R.

A1 - Etzold,Sophia

A1 - Francois,Louis

A1 - Gianelle,Damiano

A1 - Gielen,Bert

A1 - Goldstein,Allen

A1 - Groenendijk,Margriet

A1 - Gu,Lianhong

A1 - Hanan,Niall

A1 - Helfter,Carole

A1 - Hirano,Takashi

A1 - Hollinger,David Y.

A1 - Jones,Mike B.

A1 - Kiely,Gerard

A1 - Kolb,Thomas E.

A1 - Kutsch,Werner L.

A1 - Lafleur,Peter

A1 - Lawrence,David M.

A1 - Li,Linghao

A1 - Lindroth,Anders

A1 - Litvak,Marcy

A1 - Loustau,Denis

A1 - Lund,Carl Magnus

A1 - Marek,Michal

A1 - Martin,Timothy A.

A1 - Matteucci,Giorgio

A1 - Migliavacca,Mirco

A1 - Montagnani,Leonardo

A1 - Moors,Eddy

A1 - William Munger,J.

A1 - Noormets,Asko

A1 - Oechel,Walter

A1 - Olejnik,Janusz

A1 - U,Kyaw Tha Paw

A1 - Pilegaard,Kim

A1 - Rambal,Serge

A1 - Raschi,Antonio

A1 - Scott,Russell L.

A1 - Seufert,Günther

A1 - Spano,Donatella

A1 - Stoy,Paul

A1 - Sutton,Mark A.

A1 - Varlagin,Andrej

A1 - Vesala,Timo

A1 - Weng,Ensheng

A1 - Wohlfahrt,Georg

A1 - Yang,Bai

A1 - Zhang,Zhongda

A1 - Zhou,Xuhui

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,Carl 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

PB - Wiley-Blackwell Publishing Ltd.

PY - 2012

Y1 - 2012

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

U2 - 10.1111/j.1469-8137.2012.04095.x

DO - 10.1111/j.1469-8137.2012.04095.x

JO - New Phytologist

JF - New Phytologist

SN - 1469-8137

IS - 3

VL - 194

SP - 775

EP - 783

ER -