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Cited by 868

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Building evolutionary resilience for conserving biodiversity under climate change

Open access
Sgrò, Carla M., Lowe, Andrew J., Hoffmann, Ary A.·2011·Evolutionary Applications

Abstract

Evolution occurs rapidly and is an ongoing process in our environments. Evolutionary principles need to be built into conservation efforts, particularly given the stressful conditions organisms are increasingly likely to experience because of climate change and ongoing habitat fragmentation. The concept of evolutionary resilience is a way of emphasizing evolutionary processes in conservation and landscape planning. From an evolutionary perspective, landscapes need to allow in situ selection and capture high levels of genetic variation essential for responding to the direct and indirect effects of climate change. We summarize ideas that need to be considered in planning for evolutionary resilience and suggest how they might be incorporated into policy and management to ensure that resilience is maintained in the face of environmental degradation.

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Crossref · 10.1111/j.1752-4571.2010.00157.x

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Metadata

Authors
Sgrò, C. M., Lowe, A. J., & Hoffmann, A. A.
Venue
Evolutionary Applications
Publisher
Wiley
Published
2010-10-18
Volume
4
Issue
2
Pages
326-337
ISSN
  • 1752-4563 (ISSN-L)
  • 1752-4571
OpenAlex
W2138899810
Cited by
868
References
4
FWCI
14.92
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Building evolutionary resilience for conserving biodiversity under climate change. https://app.cochat.ai/papers/10.1111/j.1752-4571.2010.00157.x
The paper
Sgrò, C. M., Lowe, A. J., & Hoffmann, A. A. (2011). Building evolutionary resilience for conserving biodiversity under climate change. Evolutionary Applications. https://doi.org/10.1111/j.1752-4571.2010.00157.x

Data sources

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.