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Cited by 287

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Critical impact of vegetation physiology on the continental hydrologic cycle in response to increasing CO 2

Open access
Lemordant, Léo, Gentine, Pierre, Swann, Abigail S., Cook, Benjamin I., Scheff, Jacob·2018·Proceedings of the National Academy of Sciences

Abstract

Significance: Predicting how increasing atmospheric CO 2 will affect the hydrologic cycle is of utmost importance for a wide range of applications. It is typically thought that future dryness will depend on precipitation changes, i.e., change in water supply, and changes in evaporative demand due to either increased radiation or temperature. Opposite to this viewpoint, using Earth system models, we show that changes in key water-stress variables will be strongly modified by vegetation physiological effects in response to increased [CO 2 ] at the leaf level. These results emphasize that the continental carbon and water cycles have to be studied as an interconnected system.

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Crossref · 10.1073/pnas.1720712115

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Metadata

Authors
Lemordant, L., Gentine, P., Swann, A. S., Cook, B. I., & Scheff, J.
Venue
Proceedings of the National Academy of Sciences
Published
2018-04-02
Volume
115
Issue
16
Pages
4093-4098
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2795470418
Cited by
287
References
39
FWCI
15.69
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Critical impact of vegetation physiology on the continental hydrologic cycle in response to increasing CO 2. https://app.cochat.ai/papers/10.1073/pnas.1720712115
The paper
Lemordant, L., Gentine, P., Swann, A. S., Cook, B. I., & Scheff, J. (2018). Critical impact of vegetation physiology on the continental hydrologic cycle in response to increasing CO 2. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1720712115

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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.