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The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Long-term pattern and magnitude of soil carbon feedback to the climate system in a warming world

Melillo, J. M., Frey, S. D., DeAngelis, K. M., Werner, W. J., Bernard, M. J., Bowles, F. P., Pold, G., Knorr, M. A., Grandy, A. S.·2017·Science

Abstract

Climate and the carbon cycle: It is still not clear how global warming will affect the global carbon cycle, either in terms of the magnitude of the effect or even its sign. Help in answering that question will come from long-term field-based experiments designed to explore carbon cycle-climate feedbacks in an ecosystem context. Melillo et al. performed a 26-year soil-warming experiment in a mid-latitude hardwood forest (see the Perspective by Metcalfe). Warming has resulted in a complex pattern of net carbon loss from the soil. These results support projections of a long-term, positive carbon feedback from similar ecosystems as the world warms. Science , this issue p. 101 ; See also p. 41

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Crossref · 10.1126/science.aan2874

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Metadata

Authors
Melillo, J. M., Frey, S. D., DeAngelis, K. M., Werner, W. J., Bernard, M. J., Bowles, F. P., Pold, G., Knorr, M. A., & Grandy, A. S.
Venue
Science
Published
2017-10-06
Volume
358
Issue
6359
Pages
101-105
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2761659736
Cited by
912
References
31
FWCI
53.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Long-term pattern and magnitude of soil carbon feedback to the climate system in a warming world. https://app.cochat.ai/papers/10.1126/science.aan2874
The paper
Melillo, J. M., Frey, S. D., DeAngelis, K. M., Werner, W. J., Bernard, M. J., Bowles, F. P., Pold, G., Knorr, M. A., & Grandy, A. S. (2017). Long-term pattern and magnitude of soil carbon feedback to the climate system in a warming world. Science. https://doi.org/10.1126/science.aan2874

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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