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Cited by 470

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

Evolutionary tipping points in the capacity to adapt to environmental change

Open access
Botero, Carlos A., Weissing, Franz J., Wright, Jonathan, Rubenstein, Dustin R.·2015·Proceedings of the National Academy of Sciences

Abstract

Significance: Environmental variation is becoming more frequent and unpredictable as a consequence of climate change, yet we currently lack the tools to evaluate the extent to which organisms may adapt to this phenomenon. Here we develop a model that explores these issues and use it to study how changes in the timescale and predictability of environmental variation may ultimately affect population viability. Our model indicates that, although populations can often cope with fairly large changes in these environmental parameters, on occasion they will collapse abruptly and go extinct. We characterize the conditions under which these evolutionary tipping points occur and discuss how vulnerability to such cryptic threats may depend on the genetic architecture and life history of the organisms involved.

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Registry

Crossref · 10.1073/pnas.1408589111

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Metadata

Authors
Botero, C. A., Weissing, F. J., Wright, J., & Rubenstein, D. R.
Venue
Proceedings of the National Academy of Sciences
Published
2014-11-24
Volume
112
Issue
1
Pages
184-189
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2107289345
Cited by
470
References
41
FWCI
12.88
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Evolutionary tipping points in the capacity to adapt to environmental change. https://app.cochat.ai/papers/10.1073/pnas.1408589111
The paper
Botero, C. A., Weissing, F. J., Wright, J., & Rubenstein, D. R. (2015). Evolutionary tipping points in the capacity to adapt to environmental change. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1408589111

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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.