Global variation in vegetation carbon use efficiency inferred from eddy covariance observations

Terrestrial ecosystems have been serving as a strong carbon sink that offsets one-quarter of anthropogenic CO<sub>2</sub> emissions. Carbon use efficiency (CUE), the percentage of photosynthesized carbon that is available for biomass production and other secondary carbon products, is one factor determining the carbon sink size. The global variation in CUE remains unclear, however, as recent reports disagree over the responses of CUE to temperature, dryness, forest types and stand age, and there are limited direct observations to constrain the related uncertainty. Here, we propose to infer CUE from spatially distributed observations of land-atmosphere CO<sub>2</sub> exchange from global eddy covariance sites based on the degree of ecosystem respiration-photosynthesis coupling. Across 2,737 site-years, CUE derived from eddy covariance observations is 0.43 ± 0.12, consistent with previous inventory-based estimates (0.47 ± 0.12, n = 301) but with a better representation of spatial-temporal variation in CUE. We find that CUE consistently decreases with temperature, precipitation, light availability and stand age, with a substantial difference in the baseline CUE among biomes. Importantly, CUE of deciduous forests is typically 15% higher than that of evergreen forests, suggesting that over the long-term deciduous forests are more efficient in using photosynthate. Our study advances the understanding of the global variation in CUE and provides insights to guide best practices of forest conservation, management and restoration for carbon sequestration.

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Publication Details

Journal
Nature Ecology & Evolution
Published
2025-06-19
DOI
https://doi.org/10.1038/s41559-025-02753-0
Citations
14
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
15.47

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article

Global variation in vegetation carbon use efficiency inferred from eddy covariance observations

Housen Chu, Kailiang Yu, Trevor F. Keenan, Liyao Yu et al.
14 citations
Nature Ecology & Evolution
Plant Water Relations and Carbon Dynamics
15.47
article

Global variation in vegetation carbon use efficiency inferred from eddy covariance observations

Housen Chu, Kailiang Yu, Trevor F. Keenan, Liyao Yu, Alessio Collalti, Simone Fatichi, Xinchen Lu, Wu Sun, I. Colin Prentice, N. Nguyen, Ruiying Zhao
article en
14 citations

Abstract

Terrestrial ecosystems have been serving as a strong carbon sink that offsets one-quarter of anthropogenic CO<sub>2</sub> emissions. Carbon use efficiency (CUE), the percentage of photosynthesized carbon that is available for biomass production and other secondary carbon products, is one factor determining the carbon sink size. The global variation in CUE remains unclear, however, as recent reports disagree over the responses of CUE to temperature, dryness, forest types and stand age, and there are limited direct observations to constrain the related uncertainty. Here, we propose to infer CUE from spatially distributed observations of land-atmosphere CO<sub>2</sub> exchange from global eddy covariance sites based on the degree of ecosystem respiration-photosynthesis coupling. Across 2,737 site-years, CUE derived from eddy covariance observations is 0.43 ± 0.12, consistent with previous inventory-based estimates (0.47 ± 0.12, n = 301) but with a better representation of spatial-temporal variation in CUE. We find that CUE consistently decreases with temperature, precipitation, light availability and stand age, with a substantial difference in the baseline CUE among biomes. Importantly, CUE of deciduous forests is typically 15% higher than that of evergreen forests, suggesting that over the long-term deciduous forests are more efficient in using photosynthate. Our study advances the understanding of the global variation in CUE and provides insights to guide best practices of forest conservation, management and restoration for carbon sequestration.

Nature Ecology & EvolutionVol. 9(8)
Lawrence Berkeley National Laboratory (US), National University of Singapore (SG), Carnegie Institution for Science (US), Princeton University (US), Istituto per il Sistema Produzione Animale in Ambiente Mediterraneo (IT), Institute of Geographic Sciences and Natural Resources Research (CN), Imperial College London (GB), University of Palermo (IT), University of California, Berkeley (US), Tsinghua University (CN)
European Commission, National University of Singapore, Ministry of Education - Singapore, Ministry of Education, India
Openalex Percentile: Top 1%
Plant Water Relations and Carbon Dynamics
15.47
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