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Canadian net forest CO2 uptake enhanced by heat drought via reduced respiration

Urheber*innen

Dong,  Guanyu
External Organizations;

Jiang,  Fei
External Organizations;

Zhang,  Yongguang
External Organizations;

Ju,  Weimin
External Organizations;

Piao,  Shilong
External Organizations;

Ciais,  Philippe
External Organizations;

Peters,  Wouter
External Organizations;

Luijkx,  Ingrid T.
External Organizations;

Liu,  Junjie
External Organizations;

Chevallier,  Frédéric
External Organizations;

Zeng,  Ning
External Organizations;

Tian,  Xiangjun
External Organizations;

Maksyutov,  Shamil
External Organizations;

Sonnentag,  Oliver
External Organizations;

Arain,  M. Altaf
External Organizations;

Barr,  Alan G.
External Organizations;

Huang,  Yuanyuan
External Organizations;

Yue,  Chao
External Organizations;

Yuan,  Wenping
External Organizations;

Liu,  Liangyun
External Organizations;

Fan,  Lei
External Organizations;

Yue,  Xu
External Organizations;

Xiao,  Jingfeng
External Organizations;

Li,  Xing
External Organizations;

Sitch,  Stephen
External Organizations;

Friedlingstein,  Pierre
External Organizations;

O’Sullivan,  Michael
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Knauer,  Jürgen
External Organizations;

Arora,  Vivek
External Organizations;

Kennedy,  Daniel
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Ma,  Lei
External Organizations;

Thornton,  Peter E.
External Organizations;

Séférian,  Roland
External Organizations;

Nützel,  Tobias
External Organizations;

/persons/resource/Jens.Heinke

Heinke,  Jens       
Potsdam Institute for Climate Impact Research;

Sun,  Qing
External Organizations;

Zaehle,  Sönke
External Organizations;

Peylin,  Philippe
External Organizations;

Kato,  Etsushi
External Organizations;

Alcock,  Haley
External Organizations;

Lecavalier,  Bruno
External Organizations;

Wu,  Mousong
External Organizations;

Wang,  Jun
External Organizations;

Zhang,  Lingyu
External Organizations;

Lv,  Guoyuan
External Organizations;

Zhang,  Yuanyuan
External Organizations;

Zhao,  Dayang
External Organizations;

Chen,  Jing M.
External Organizations;

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Zitation

Dong, G., Jiang, F., Zhang, Y., Ju, W., Piao, S., Ciais, P., Peters, W., Luijkx, I. T., Liu, J., Chevallier, F., Zeng, N., Tian, X., Maksyutov, S., Sonnentag, O., Arain, M. A., Barr, A. G., Huang, Y., Yue, C., Yuan, W., Liu, L., Fan, L., Yue, X., Xiao, J., Li, X., Sitch, S., Friedlingstein, P., O’Sullivan, M., Knauer, J., Arora, V., Kennedy, D., Ma, L., Thornton, P. E., Séférian, R., Nützel, T., Heinke, J., Sun, Q., Zaehle, S., Peylin, P., Kato, E., Alcock, H., Lecavalier, B., Wu, M., Wang, J., Zhang, L., Lv, G., Zhang, Y., Zhao, D., Chen, J. M. (2026): Canadian net forest CO2 uptake enhanced by heat drought via reduced respiration. - Nature Geoscience, 19, 145-152.
https://doi.org/10.1038/s41561-025-01875-1


Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_34934
Zusammenfassung
The response of net forest carbon uptake to warm extremes remains elusive. The year 2023 was at the time ‘the hottest year on record’ globally, with Canada’s forests experiencing warm anomalies of above 2 °C and unprecedented drought and wildfires, providing a unique case to examine the response of boreal forest net carbon uptake to climate extremes. Here we combine satellite-based atmospheric CO2 flux inversions with ground-based in situ observations of CO2 fluxes and concentrations to investigate Canada’s forest net carbon uptake and its underlying mechanisms in 2023. We find that, compared with 2015–2022, Canada’s forest net carbon uptake was enhanced by 0.28 ± 0.23 PgC, offsetting 38–48% of Canadian wildfire emissions in 2023. This enhanced net uptake was dominated by large ecosystem respiration reductions, mainly attributable to severe root-zone soil moisture deficits and the unimodal temperature response of respiration. However, most dynamic global vegetation models failed to simulate the respiration reductions and the responses to hydrothermal conditions well. This study improves our understanding of boreal forest net carbon uptake in response to climate extremes and highlights an urgent need to improve vegetation models under global warming.