TY - JOUR
T1 - Evidence for widespread thermal optimality of ecosystem respiration
AU - Chen, Weinan
AU - Wang, Song
AU - Wang, Jinsong
AU - Xia, Jianyang
AU - Luo, Yiqi
AU - Yu, Guirui
AU - Niu, Shuli
N1 - Funding Information:
This study was financially supported by the National Natural Science Foundation of China (31988102), the National Key Technology R & D Program of China (2022YFF0802102) and the International Partnership Program of the Chinese Academy of Science (177GJHZ2022020BS). We used the eddy-covariance data of the FLUXNET community by the following networks: AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada, GreenGrass, ICOS, KoFlux, LBA, NECC, OzFlux-TERN, TCOS-Siberia, Swiss FluxNet and USCCC. The ERA-Interim reanalysis data were provided by ECMWF and processed by Laboratoire des sciences du climat et de l’environnement (LSCE). The FLUXNET eddy-covariance data processing and harmonization was carried out by the European Fluxes Database Cluster and the AmeriFlux Management Project (with support by European Union H2020 projects and the US Department of Energy Office of Science, respectively), with contributions from the Carbon Dioxide Information Analysis Center, ICOS Ecosystem Thematic Centre, and OzFlux, ChinaFlux and AsiaFlux offices.
Funding Information:
This study was financially supported by the National Natural Science Foundation of China (31988102), the National Key Technology R & D Program of China (2022YFF0802102) and the International Partnership Program of the Chinese Academy of Science (177GJHZ2022020BS). We used the eddy-covariance data of the FLUXNET community by the following networks: AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada, GreenGrass, ICOS, KoFlux, LBA, NECC, OzFlux-TERN, TCOS-Siberia, Swiss FluxNet and USCCC. The ERA-Interim reanalysis data were provided by ECMWF and processed by Laboratoire des sciences du climat et de l’environnement (LSCE). The FLUXNET eddy-covariance data processing and harmonization was carried out by the European Fluxes Database Cluster and the AmeriFlux Management Project (with support by European Union H2020 projects and the US Department of Energy Office of Science, respectively), with contributions from the Carbon Dioxide Information Analysis Center, ICOS Ecosystem Thematic Centre, and OzFlux, ChinaFlux and AsiaFlux offices.
Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Nature Limited.
PY - 2023/9
Y1 - 2023/9
N2 - Ecosystem respiration (ER) is among the largest carbon fluxes between the biosphere and the atmosphere. Understanding the temperature response of ER is crucial for predicting the climate change–carbon cycle feedback. However, whether there is an apparent optimum temperature of ER (ToptER) and how it changes with temperature remain poorly understood. Here we analyse the temperature response curves of ER at 212 sites from global FLUXNET. We find that ER at 183 sites shows parabolic temperature response curves and ToptER at which ER reaches the maximum exists widely across biomes around the globe. Among the 15 biotic and abiotic variables examined, ToptER is mostly related to the optimum temperature of gross primary production (GPP, ToptGPP) and annual maximum daily temperature (T max). In addition, ToptER linearly increases with T max across sites and over vegetation types, suggesting its thermal adaptation. The adaptation magnitude of ToptER , which is measured by the change in ToptER per unit change in T max, is positively correlated with the adaptation magnitude of ToptGPP . This study provides evidence of the widespread existence of ToptER and its thermal adaptation with T max across different biomes around the globe. Our findings suggest that carbon cycle models that consider the existence of ToptER and its adaptation have the potential to more realistically predict terrestrial carbon sequestration in a world with changing climate.
AB - Ecosystem respiration (ER) is among the largest carbon fluxes between the biosphere and the atmosphere. Understanding the temperature response of ER is crucial for predicting the climate change–carbon cycle feedback. However, whether there is an apparent optimum temperature of ER (ToptER) and how it changes with temperature remain poorly understood. Here we analyse the temperature response curves of ER at 212 sites from global FLUXNET. We find that ER at 183 sites shows parabolic temperature response curves and ToptER at which ER reaches the maximum exists widely across biomes around the globe. Among the 15 biotic and abiotic variables examined, ToptER is mostly related to the optimum temperature of gross primary production (GPP, ToptGPP) and annual maximum daily temperature (T max). In addition, ToptER linearly increases with T max across sites and over vegetation types, suggesting its thermal adaptation. The adaptation magnitude of ToptER , which is measured by the change in ToptER per unit change in T max, is positively correlated with the adaptation magnitude of ToptGPP . This study provides evidence of the widespread existence of ToptER and its thermal adaptation with T max across different biomes around the globe. Our findings suggest that carbon cycle models that consider the existence of ToptER and its adaptation have the potential to more realistically predict terrestrial carbon sequestration in a world with changing climate.
UR - http://www.scopus.com/inward/record.url?scp=85165576660&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85165576660&partnerID=8YFLogxK
U2 - 10.1038/s41559-023-02121-w
DO - 10.1038/s41559-023-02121-w
M3 - Article
C2 - 37488227
AN - SCOPUS:85165576660
SN - 2397-334X
VL - 7
SP - 1379
EP - 1387
JO - Nature Ecology and Evolution
JF - Nature Ecology and Evolution
IS - 9
ER -