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Cited by 400

The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.

The decadal state of the terrestrial carbon cycle: Global retrievals of terrestrial carbon allocation, pools, and residence times

Open access
Bloom, A. Anthony, Exbrayat, Jean-François, van der Velde, Ivar R., Feng, Liang, Williams, Mathew·2016·Proceedings of the National Academy of Sciences

Abstract

Significance: Quantitative knowledge of terrestrial carbon pathways and processes is fundamental for understanding the biosphere’s response to a changing climate. Carbon allocation, stocks, and residence times together define the dynamic state of the terrestrial carbon cycle. These quantities are difficult to measure and remain poorly quantified on a global scale. Here, we retrieve global 1° × 1° carbon state and process variables by combining a carbon balance model with satellite observations of biomass and leaf area (where and when available) and global soil carbon data. Our results reveal emergent continental-scale patterns and relationships between carbon states and processes. We find that conventional land cover types cannot capture continental-scale variations of retrieved carbon variables; this mismatch has strong implications for terrestrial carbon cycle predictions.

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Metadata

Authors
Bloom, A. A., Exbrayat, J.-F., van der Velde, I. R., Feng, L., & Williams, M.
Venue
Proceedings of the National Academy of Sciences
Published
2016-01-19
Volume
113
Issue
5
Pages
1285-1290
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2258277964
Cited by
400
References
66
FWCI
22.66
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The decadal state of the terrestrial carbon cycle: Global retrievals of terrestrial carbon allocation, pools, and residence times. https://app.cochat.ai/papers/10.1073/pnas.1515160113
The paper
Bloom, A. A., Exbrayat, J.-F., van der Velde, I. R., Feng, L., & Williams, M. (2016). The decadal state of the terrestrial carbon cycle: Global retrievals of terrestrial carbon allocation, pools, and residence times. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1515160113

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.