A validation of 11 body-condition indices in a giant snake species that exhibits positive allometry.

Body condition is a gauge of the energy stores of an animal, and though it has important implications for fitness, survival, competition, and disease, it is difficult to measure directly. Instead, body condition is frequently estimated as a body condition index (BCI) using length and mass measuremen...

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Main Authors: Bryan G Falk, Ray W Snow, Robert N Reed
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5516988?pdf=render
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spelling doaj-72a691388f024463abf29ee72050332d2020-11-25T01:10:56ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01127e018079110.1371/journal.pone.0180791A validation of 11 body-condition indices in a giant snake species that exhibits positive allometry.Bryan G FalkRay W SnowRobert N ReedBody condition is a gauge of the energy stores of an animal, and though it has important implications for fitness, survival, competition, and disease, it is difficult to measure directly. Instead, body condition is frequently estimated as a body condition index (BCI) using length and mass measurements. A desirable BCI should accurately reflect true body condition and be unbiased with respect to size (i.e., mean BCI estimates should not change across different length or mass ranges), and choosing the most-appropriate BCI is not straightforward. We evaluated 11 different BCIs in 248 Burmese pythons (Python bivittatus), organisms that, like other snakes, exhibit simple body plans well characterized by length and mass. We found that the length-mass relationship in Burmese pythons is positively allometric, where mass increases rapidly with respect to length, and this allowed us to explore the effects of allometry on BCI verification. We employed three alternative measures of 'true' body condition: percent fat, scaled fat, and residual fat. The latter two measures mostly accommodated allometry in true body condition, but percent fat did not. Our inferences of the best-performing BCIs depended heavily on our measure of true body condition, with most BCIs falling into one of two groups. The first group contained most BCIs based on ratios, and these were associated with percent fat and body length (i.e., were biased). The second group contained the scaled mass index and most of the BCIs based on linear regressions, and these were associated with both scaled and residual fat but not body length (i.e., were unbiased). Our results show that potential differences in measures of true body condition should be explored in BCI verification studies, particularly in organisms undergoing allometric growth. Furthermore, the caveats of each BCI and similarities to other BCIs are important to consider when determining which BCI is appropriate for any particular taxon.http://europepmc.org/articles/PMC5516988?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Bryan G Falk
Ray W Snow
Robert N Reed
spellingShingle Bryan G Falk
Ray W Snow
Robert N Reed
A validation of 11 body-condition indices in a giant snake species that exhibits positive allometry.
PLoS ONE
author_facet Bryan G Falk
Ray W Snow
Robert N Reed
author_sort Bryan G Falk
title A validation of 11 body-condition indices in a giant snake species that exhibits positive allometry.
title_short A validation of 11 body-condition indices in a giant snake species that exhibits positive allometry.
title_full A validation of 11 body-condition indices in a giant snake species that exhibits positive allometry.
title_fullStr A validation of 11 body-condition indices in a giant snake species that exhibits positive allometry.
title_full_unstemmed A validation of 11 body-condition indices in a giant snake species that exhibits positive allometry.
title_sort validation of 11 body-condition indices in a giant snake species that exhibits positive allometry.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
description Body condition is a gauge of the energy stores of an animal, and though it has important implications for fitness, survival, competition, and disease, it is difficult to measure directly. Instead, body condition is frequently estimated as a body condition index (BCI) using length and mass measurements. A desirable BCI should accurately reflect true body condition and be unbiased with respect to size (i.e., mean BCI estimates should not change across different length or mass ranges), and choosing the most-appropriate BCI is not straightforward. We evaluated 11 different BCIs in 248 Burmese pythons (Python bivittatus), organisms that, like other snakes, exhibit simple body plans well characterized by length and mass. We found that the length-mass relationship in Burmese pythons is positively allometric, where mass increases rapidly with respect to length, and this allowed us to explore the effects of allometry on BCI verification. We employed three alternative measures of 'true' body condition: percent fat, scaled fat, and residual fat. The latter two measures mostly accommodated allometry in true body condition, but percent fat did not. Our inferences of the best-performing BCIs depended heavily on our measure of true body condition, with most BCIs falling into one of two groups. The first group contained most BCIs based on ratios, and these were associated with percent fat and body length (i.e., were biased). The second group contained the scaled mass index and most of the BCIs based on linear regressions, and these were associated with both scaled and residual fat but not body length (i.e., were unbiased). Our results show that potential differences in measures of true body condition should be explored in BCI verification studies, particularly in organisms undergoing allometric growth. Furthermore, the caveats of each BCI and similarities to other BCIs are important to consider when determining which BCI is appropriate for any particular taxon.
url http://europepmc.org/articles/PMC5516988?pdf=render
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