The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
New perspectives for estimating body condition from mass/length data: the scaled mass index as an alternative method
Abstract
Body condition is assumed to influence an animal's health and fitness. Various non‐destructive methods based on body mass and a measure of body length have been used as condition indices (CIs), but the dominant method amongst ecologists is currently the calculation of residuals from an ordinary least squares (OLS) regression of body mass against length. Recent studies of energy reserves in small mammals and starlings claimed to validate this method, although we argue that they did not include the most appropriate tests since they compared the CI with the absolute size of energy reserves. We present a novel CI (the ‘scaled mass index’) based on the central principle of scaling, with important methodological, biological and conceptual advantages. Through a reanalysis of data from small mammals, starlings and snakes, we show that the scaled mass index is a better indicator of the relative size of energy reserves and other body components than OLS residuals, performing better in all seven species and in 19 out of 20 analyses. We also present an empirical and theoretical comparison of the scaled mass index and OLS residuals as CIs. We argue that the scaled mass index is a useful new tool for ecologists.
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Cites
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Estimating Fitness: A Comparison of Body Condition Indices
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RESTITUTION OF MASS–SIZE RESIDUALS: VALIDATING BODY CONDITION INDICES
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MASS/LENGTH RESIDUALS: MEASURES OF BODY CONDITION OR GENERATORS OF SPURIOUS RESULTS?
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The paradigm of body condition: a critical reappraisal of current methods based on mass and length
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Seasonal variation in environmental DNA in relation to population size and environmental factors
Buxton, A. S., Groombridge, J. J., Zakaria, N. B., & Griffiths, R. A. (2017) · Scientific Reports · doi:10.1038/srep46294 · Cited by 203
Sebastiano, M., Jouanneau, W., Blévin, P., Angelier, F., Parenteau, C., Gernigon, J., Lemesle, J. C., Robin, F., Pardon, P., Budzinski, H., et al. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.144611 · Cited by 51
Metadata
- Authors
- Peig, J., & Green, A. J.
- Venue
- Oikos
- Publisher
- Wiley
- Published
- 2009-11-30
- Volume
- 118
- Issue
- 12
- Pages
- 1883-1891
- ISSN
- 0030-1299 (ISSN-L)
- 1600-0706
- OpenAlex
- W2131489959
- Cited by
- 1,906
- References
- 30
- FWCI
- 17.07
- Type
- journal article
- Language
- en
- Open access
- closed
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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).
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