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Cited by 158

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Evolutionary biology and practical conservation: bridging a widening gap

MACE, GEORGINA M., PURVIS, ANDY·2008·Molecular Ecology

Abstract

At the ecosystem, species and population level, available measures suggest that average rates of loss of populations and habitats are now around 1% per year and seem likely to increase in the future. Habitat conversion continues in most parts of the world, especially in areas of high species richness, and novel threats, especially climate change, will pose new challenges. With this pressure, maintaining evolutionary processes in natural populations will be critical to longer term persistence, and will often require specific planning relevant to the context. However, in many areas of policy and practice, urgent actions tend to focus on pattern‐based analyses and considerations of evolutionary and ecological processes are neglected. At a variety of levels, from setting goals to implementing conservation management at the site or species level, there are simple adjustments that can be made. Improved methods for integrating the work of scientists and policymakers is recommended, from the beginning to end of the planning process.

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Crossref · 10.1111/j.1365-294x.2007.03455.x

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Metadata

Authors
MACE, G. M., & PURVIS, A.
Venue
Molecular Ecology
Publisher
Wiley
Published
2007-08-13
Volume
17
Issue
1
Pages
9-19
ISSN
  • 0962-1083 (ISSN-L)
  • 1365-294X
OpenAlex
W2140153960
Cited by
158
References
10
FWCI
39.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Evolutionary biology and practical conservation: bridging a widening gap. https://app.cochat.ai/papers/10.1111/j.1365-294x.2007.03455.x
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MACE, G. M., & PURVIS, A. (2008). Evolutionary biology and practical conservation: bridging a widening gap. Molecular Ecology. https://doi.org/10.1111/j.1365-294x.2007.03455.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.