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Cited by 183

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Climate-driven diversity loss in a grassland community

Open access
Harrison, Susan P., Gornish, Elise S., Copeland, Stella·2015·Proceedings of the National Academy of Sciences

Abstract

Significance: Whereas a dominant conservation paradigm proposes that species are being lost from ecological communities with a consequent loss of ecosystem function, recent analyses have concluded there is no globally consistent trend toward lower community diversity. In a study of Californian grassland communities, we show that 15 years of climatic drying—consistent with the forecasts for this and other semiarid regions under climate change—have led to directional losses of plant species richness, especially of native annual forb (“wildflower”) species with traits indicative of low drought tolerance. Although many anthropogenic impacts may increase or not affect community diversity, our result underlines that declining plant community diversity may be especially likely in climates that are becoming more arid and less productive.

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Crossref · 10.1073/pnas.1502074112

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Metadata

Authors
Harrison, S. P., Gornish, E. S., & Copeland, S.
Venue
Proceedings of the National Academy of Sciences
Published
2015-06-22
Volume
112
Issue
28
Pages
8672-8677
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1781447180
Cited by
183
References
7
FWCI
12.46
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Climate-driven diversity loss in a grassland community. https://app.cochat.ai/papers/10.1073/pnas.1502074112
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Harrison, S. P., Gornish, E. S., & Copeland, S. (2015). Climate-driven diversity loss in a grassland community. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1502074112

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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.