Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms.
(2012) In New Phytologist 194(3). p.775-783- 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... (More)
- • 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. (Less)
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https://lup.lub.lu.se/record/2431979
- author
- organization
- publishing date
- 2012
- type
- Contribution to journal
- publication status
- published
- subject
- in
- New Phytologist
- volume
- 194
- issue
- 3
- pages
- 775 - 783
- publisher
- Wiley-Blackwell
- external identifiers
-
- wos:000302618800019
- pmid:22404566
- scopus:84859586429
- pmid:22404566
- ISSN
- 1469-8137
- DOI
- 10.1111/j.1469-8137.2012.04095.x
- language
- English
- LU publication?
- yes
- id
- 0459db0f-d3f7-4085-b94d-224c4c9561cb (old id 2431979)
- date added to LUP
- 2016-04-01 10:59:51
- date last changed
- 2022-04-28 03:36:26
@article{0459db0f-d3f7-4085-b94d-224c4c9561cb,
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.}},
author = {{Niu, Shuli and Luo, Yiqi and Fei, Shenfeng and Yuan, Wenping and Schimel, David and Law, Beverly E and Ammann, Christof and Altaf Arain, M and Arneth, Almut and Aubinet, Marc and Barr, Alan and Beringer, Jason and Bernhofer, Christian and Andrew Black, T and Buchmann, Nina and Cescatti, Alessandro and Chen, Jiquan and Davis, Kenneth J and Dellwik, Ebba and Desai, Ankur R and Etzold, Sophia and Francois, Louis and Gianelle, Damiano and Gielen, Bert and Goldstein, Allen and Groenendijk, Margriet and Gu, Lianhong and Hanan, Niall and Helfter, Carole and Hirano, Takashi and Hollinger, David Y and Jones, Mike B and Kiely, Gerard and Kolb, Thomas E and Kutsch, Werner L and Lafleur, Peter and Lawrence, David M and Li, Linghao and Lindroth, Anders and Litvak, Marcy and Loustau, Denis and Lund, Magnus and Marek, Michal and Martin, Timothy A and Matteucci, Giorgio and Migliavacca, Mirco and Montagnani, Leonardo and Moors, Eddy and William Munger, J and Noormets, Asko and Oechel, Walter and Olejnik, Janusz and U, Kyaw Tha Paw and Pilegaard, Kim and Rambal, Serge and Raschi, Antonio and Scott, Russell L and Seufert, Günther and Spano, Donatella and Stoy, Paul and Sutton, Mark A and Varlagin, Andrej and Vesala, Timo and Weng, Ensheng and Wohlfahrt, Georg and Yang, Bai and Zhang, Zhongda and Zhou, Xuhui}},
issn = {{1469-8137}},
language = {{eng}},
number = {{3}},
pages = {{775--783}},
publisher = {{Wiley-Blackwell}},
series = {{New Phytologist}},
title = {{Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms.}},
url = {{http://dx.doi.org/10.1111/j.1469-8137.2012.04095.x}},
doi = {{10.1111/j.1469-8137.2012.04095.x}},
volume = {{194}},
year = {{2012}},
}