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Cited by 1,906

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New perspectives for estimating body condition from mass/length data: the scaled mass index as an alternative method

Peig, Jordi, Green, Andy J.·2009·Oikos

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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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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CoChat. (2026). Citation check: New perspectives for estimating body condition from mass/length data: the scaled mass index as an alternative method. https://app.cochat.ai/papers/10.1111/j.1600-0706.2009.17643.x
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Peig, J., & Green, A. J. (2009). New perspectives for estimating body condition from mass/length data: the scaled mass index as an alternative method. Oikos. https://doi.org/10.1111/j.1600-0706.2009.17643.x

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