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Journal articles

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

Shuli Niu 1 Yiki Luo 1, 2 Shenfeng Fei 1 Wenping Yuan 3 David Schimel 4 Beverly E. Law 5 Christof Ammann 6 Altaf Arain 7 Almut Arneth 8, 9 Marc Aubinet 10 Alan Barr 11 Jason Beringer 12 Christian Bernhofer 13 T. Andrew Black 14 Nina Buchmann 15 Alessandro Cescatti 16 Jiquan Chen 17 Kenneth Davis 18 Ebba Dellwik 19 Ankur Desai 20 Sophia Etzold 15 Louis François 21 Damiano Gianelle 22 Bert Gielen 23 Allen Goldstein 24 Margriet Groenendijk 25 Lianhong Gu 26 Niall Hanan 27 Carole Helfter 28 Takashi Hirano 29 David Y. Hollinger 30 Mike B. Jones 31 Gerard Kiely 32 Thomas E. Kolb 33 Werner L. Kutsch 34 Peter Lafleur 35 David Lawrence 36 Linghao Li 37 Anders Lindroth 8 Marcy Litvak 38 Denis Loustau 39 Magnus Lund 8 Michal Marek 40 Timothy A. Martin 41 Giorgio Matteucci 42 Mirco Migliavacca 16 Leonardo Montagnani 43 Eddy Moors 44 J. William Munger 45 Asko Noormets 46 Walter Oechel 47 Janusz Olejnik 48 Kyaw, T Paw U 49 Kim Pilegaard 19 Serge Rambal 50 Antonio Raschi 51 Russell L. Scott 52 Günther Seufert 16 Donatella Spano 53 Paul Stoy 54 Mark A. Sutton 30 Andrej Varlagin 55 Timo Vesala 56 Ensheng Weng 1 Georg Wohlfahrt 57 Bai Yang 26 Zhongda Zhang 1 Xuhui Zhou 2
1 OU - University of Oklahoma
2 FU - Fudan University
3 GCESS - College of Global Change and Earth System Science
4 NEON - National Ecological Observatory Network, Science Office
5 College of Forestry
6 Agroscope
7 School of Geography and Earth Sciences [Hamilton ON]
8 Lund University [Lund]
9 KIT - Karlsruhe Institute of Technology
10 Unité de Physique des Biosystèmes
11 Environment Canada
12 School of Geography and Environmental Science
13 TU Dresden - Technische Universität Dresden = Dresden University of Technology
14 Land and Food Systems
15 Institute of Plant Science
16 IES - JRC Institute for Environment and Sustainability
17 Department of Environmental Sciences [Toledo USA]
18 Earth System Science Center
19 DTU - Technical University of Denmark [Lyngby]
20 University of Wisconsin-Madison
21 Unité de Modélisation du Climat et des Cycles Biogéochimiques (UMCCB)
22 FEM - Fondazione Edmund Mach - Edmund Mach Foundation [Italie]
23 Department of Biology
24 Department of Environmental Science, Policy, and Management
25 VU - Vrije universiteit = Free university of Amsterdam [Amsterdam]
26 Environmental Sciences Division [Oak Ridge]
27 SDSTATE - South Dakota State University
28 NERC - Natural Environment Research Council
29 Hokkaido University [Sapporo, Japan]
30 USDA - United States Department of Agriculture
31 Botany Department
32 Civil and Environmental Engineering Department
33 School of Forestry
34 Johann Heinrich von Thünen Institut
35 Department of Geography
36 NCAR - National Center for Atmospheric Research [Boulder]
37 CAS - Chinese Academy of Sciences
38 The University of New Mexico [Albuquerque]
39 EPHYSE - Écologie fonctionnelle et physique de l'environnement
40 CAS - Czech Academy of Sciences [Prague]
41 UF - University of Florida [Gainesville]
42 Institute of Agro-Environmental and Forest Biology
43 Servizi Forestali, Agenzia per l'Ambiente
44 WUR - Wageningen University and Research Centre
45 EPS - Department of Earth and Planetary Sciences [Cambridge, USA]
46 North Carolina State University
47 SDSU - San Diego State University
48 Meteorology Department
49 UC Davis - University of California [Davis]
50 CEFE - Centre d’Ecologie Fonctionnelle et Evolutive
51 CNR - Consiglio Nazionale delle Ricerche
52 Southwest Watershed Research Center
53 Università degli Studi di Sassari
54 Department of Land Resources and Environmental Sciences
55 A.N. Severtsov Institute of Ecology and Evolution
56 Department of Physics
57 Institute of Ecology
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.
Keywords : climate change; optimum temperature; temperature acclimation; temperature adaptation; thermal optimality;
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Journal articles
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https://hal.inrae.fr/hal-02644590
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Submitted on : Thursday, May 28, 2020 - 11:01:01 PM
Last modification on : Wednesday, March 23, 2022 - 12:08:29 PM

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INRAE | UNIV-MONTP3 | INRA | AGROPOLIS | UNIV-MONTPELLIER | EPHE | CNRS | MONTPELLIER-SUPAGRO | B3ESTE | CEFE | INRAEOCCITANIEMONTPELLIER | PSL

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Shuli Niu, Yiki Luo, Shenfeng Fei, Wenping Yuan, David Schimel, et al.. Thermal optimality of net ecosystem exchange of carbon dioxide and underlying mechanisms. New Phytologist, Wiley, 2012, 194 (3), pp.775-783. ⟨10.1111/j.1469-8137.2012.04095.x⟩. ⟨hal-02644590⟩

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