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Cited by 288

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

Stress and adaptation in conservation genetics

Open access
FRANKHAM, R.·2005·Journal of Evolutionary Biology

Abstract

Stress, adaptation and evolution are major concerns in conservation biology. Stresses from pollution, climatic changes, disease etc. may affect population persistence. Further, stress typically occurs when species are placed in captivity. Threatened species are usually managed to conserve their ability to adapt to environmental changes, whilst species in captivity undergo adaptations that are deleterious upon reintroduction into the wild. In model studies using Drosophila melanogaster, we have found that; (a) inbreeding and loss of genetic variation reduced resistance to the stress of disease, (b) extinction rates under inbreeding are elevated by stress, (c) adaptive evolutionary potential in an increasingly stressful environment is reduced in small population, (d) rates of inbreeding are elevated under stressful conditions, (e) genetic adaptation to captivity reduces fitness when populations are reintroduced into the ‘wild’, and (f) the deleterious effects of adaptation on reintroduction success can be reduced by population fragmentation.

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Crossref · 10.1111/j.1420-9101.2005.00885.x

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Metadata

Authors
FRANKHAM, R.
Venue
Journal of Evolutionary Biology
Published
2005-07
Volume
18
Issue
4
Pages
750-755
ISSN
  • 1010-061X (ISSN-L)
  • 1420-9101
OpenAlex
W2077218023
Cited by
288
References
49
FWCI
6.22
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Stress and adaptation in conservation genetics. https://app.cochat.ai/papers/10.1111/j.1420-9101.2005.00885.x
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FRANKHAM, R. (2005). Stress and adaptation in conservation genetics. Journal of Evolutionary Biology. https://doi.org/10.1111/j.1420-9101.2005.00885.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.