The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Individual Variation in Mammals
Abstract
The study of individual variation offers an underexploited wealth of opportunities for mammalogists. This paper addresses recent developments in the study of both intra- and inter-individual variation. After reviewing several methods (e.g., intraclass correlation, product-moment correlation, and confirmatory factor analysis) for quantifying intra-individual consistency or repeatability, we discuss how these measures of repeatability can serve as guides for appropriately defining traits and how they may be helpful in ensuring that appropriate statistical models are used (e.g., in accounting for measurement errors in regression analyses). We discuss three aspects of inter-individual variation; phenotypic selection, alternative individual strategies and phenotypic integration, and quantitative genetic analyses. The value of these approaches for studying inter-individual variation is illustrated with recent examples from the literature. Finally, we discuss how many field studies of mammals may be well poised to exploit the unique insights that can be gained from studying individual variation.
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Cites
The measurement of selection on correlated characters
Lande, R., & Arnold, S. J. (1983) · Evolution · doi:10.1111/j.1558-5646.1983.tb00236.x · Cited by 5,437
Endothermy and Activity in Vertebrates
Bennett, A. F., & Ruben, J. A. (1979) · Science · doi:10.1126/science.493968 · Cited by 710
Metadata
- Authors
- Hayes, J. P., & Jenkins, S. H.
- Venue
- Journal of Mammalogy
- Publisher
- Oxford University Press (OUP)
- Published
- 1997-05-21
- Volume
- 78
- Issue
- 2
- Pages
- 274-293
- ISSN
- 0022-2372 (ISSN-L)
- 1545-1542
- OpenAlex
- W2324878224
- Cited by
- 196
- References
- 2
- FWCI
- 9.04
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hayes, J. P., & Jenkins, S. H. (1997). Individual Variation in Mammals. Journal of Mammalogy. https://doi.org/10.2307/1382882
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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