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Cited by 521

The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.

Oxidative stress in ecology and evolution: lessons from avian studies

Costantini, David·2008·Ecology Letters

Abstract

Although oxidative stress is a central topic in biochemical and medical research, the number of reports on its relevance in life‐history studies of non‐human animals is still low. Information about oxidative stress in wild birds may help describe functional interactions among the components of life‐history traits. Currently available evidence suggests that oxidative stress may impart an important physiological cost on longevity, reproduction, immune response or intense physical activity. Given the gaps in our present knowledge, it is still premature to attempt to draw definitive conclusions and basic questions (e.g. how is oxidative stress generated and how do organisms cope with it?) have yet to be fully explored under natural conditions. Therefore, caution is needed in developing hypotheses or drawing general conclusions until additional data become available to perform more rigorous comparative analyses.

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Crossref · 10.1111/j.1461-0248.2008.01246.x

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Metadata

Authors
Costantini, D.
Venue
Ecology Letters
Publisher
Wiley
Published
2008-10-02
Volume
11
Issue
11
Pages
1238-1251
ISSN
  • 1461-023X (ISSN-L)
  • 1461-0248
OpenAlex
W2004131499
Cited by
521
References
110
FWCI
30.07
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Oxidative stress in ecology and evolution: lessons from avian studies. https://app.cochat.ai/papers/10.1111/j.1461-0248.2008.01246.x
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Costantini, D. (2008). Oxidative stress in ecology and evolution: lessons from avian studies. Ecology Letters. https://doi.org/10.1111/j.1461-0248.2008.01246.x

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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.