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Cited by 368

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

Predicting plant vulnerability to drought in biodiverse regions using functional traits

Open access
Skelton, Robert Paul, West, Adam G., Dawson, Todd E.·2015·Proceedings of the National Academy of Sciences

Abstract

Significance: Recent reports of widespread drought-induced plant die-back have enhanced the need to understand variation in plant hydraulic strategies and to determine which species are susceptible to drought-induced mortality. Finding meaningful ways to describe the many different types of responses plants might demonstrate in biodiverse regions can be extremely challenging. Here, we present the architecture in which functional traits can be incorporated into a known hydraulic framework to provide additional insight into the range of hydraulic strategies present in diverse communities. Merging stomatal regulation strategies that represent an index of water use behavior with xylem hydraulic strategies that represent water transport and vulnerability to water deficit behavior facilitates a more comprehensive framework to characterize plant response to drought.

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Crossref · 10.1073/pnas.1503376112

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Metadata

Authors
Skelton, R. P., West, A. G., & Dawson, T. E.
Venue
Proceedings of the National Academy of Sciences
Published
2015-04-20
Volume
112
Issue
18
Pages
5744-5749
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2034933485
Cited by
368
References
54
FWCI
23.38
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Predicting plant vulnerability to drought in biodiverse regions using functional traits. https://app.cochat.ai/papers/10.1073/pnas.1503376112
The paper
Skelton, R. P., West, A. G., & Dawson, T. E. (2015). Predicting plant vulnerability to drought in biodiverse regions using functional traits. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1503376112

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.