Data from: A novel integrative method for measuring body condition in ecological studies based on physiological dysregulation
1. The body condition of free-ranging animals affects their response to stress, decisions, ability to fulfil vital needs and, ultimately, fitness. However, this key attribute in ecology remains difficult to assess, and there is a clear need for more integrative measures than the common univariate pr...
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fttriple:oai:gotriple.eu:50|dedup_wf_001::8181fc24d2f9aed60135739f5a201f41 2023-05-15T15:48:25+02:00 Data from: A novel integrative method for measuring body condition in ecological studies based on physiological dysregulation Milot, Emmanuel Cohen, Alan A. Vézina, François Buehler, Deborah M. Matson, Kevin D. Piersman, Theunis Piersma, Theunis 2014-12-06 https://doi.org/10.5061/dryad.mf0ns undefined unknown http://dx.doi.org/10.5061/dryad.mf0ns https://dx.doi.org/10.5061/dryad.mf0ns lic_creative-commons oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:84903 10.5061/dryad.mf0ns oai:easy.dans.knaw.nl:easy-dataset:84903 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f re3data_____::r3d100000044 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 Life sciences medicine and health care Calidris canutus health state Multivariate distance body condition Metabolic Rate physiological dysregulation Mahalanobis distance anthro-bio psy Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2014 fttriple https://doi.org/10.5061/dryad.mf0ns 2023-01-22T16:52:25Z 1. The body condition of free-ranging animals affects their response to stress, decisions, ability to fulfil vital needs and, ultimately, fitness. However, this key attribute in ecology remains difficult to assess, and there is a clear need for more integrative measures than the common univariate proxies. 2. We propose a systems biology approach that positions individuals along a gradient from a ‘normal/optimal’ to ‘abnormal/suboptimal’ physiological state based on Mahalanobis distance computed from physiological biomarkers. We previously demonstrated the validity of this approach for studying ageing in humans; here, we illustrate its broad potential for ecological studies. 3. As an example, we used biomarker data on shorebirds and found that birds with an abnormal condition had a lower maximal thermogenic capacity and higher scores of inflammation, with important implications for their ecology and health. Moreover, Mahalanobis distance captured a signal of condition not detected by the individual biomarkers. 4. Overall, our results on birds and humans show that individuals with abnormal physiologies are indeed in worse condition. Moreover, our approach appears not to be particularly sensitive to which set of biomarkers is used to assess condition. Consequently, it could be applied easily to existing ecological data sets. 5. Our approach provides a general, powerful way to measure condition that helps resolve confusion as to how to deal with complex interactions and interdependence among multiple physiological and condition measures. It can be applied directly to topics such as the effect of environmental quality on body condition, risks of health outcomes, mechanisms of adaptive phenotypic plasticity, and mechanisms behind long-term processes such as senescence. Shorebirds physiological dataThis datasets contains data measured over ~1 on shorebirds (Calidris canutus) caught in the wild and kept in captivity. Specifically, the dataset includes 11 physiological biomarkers, two mass measurements, one performance ... Dataset Calidris canutus Unknown |
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Open Polar |
collection |
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unknown |
topic |
Life sciences medicine and health care Calidris canutus health state Multivariate distance body condition Metabolic Rate physiological dysregulation Mahalanobis distance anthro-bio psy |
spellingShingle |
Life sciences medicine and health care Calidris canutus health state Multivariate distance body condition Metabolic Rate physiological dysregulation Mahalanobis distance anthro-bio psy Milot, Emmanuel Cohen, Alan A. Vézina, François Buehler, Deborah M. Matson, Kevin D. Piersman, Theunis Piersma, Theunis Data from: A novel integrative method for measuring body condition in ecological studies based on physiological dysregulation |
topic_facet |
Life sciences medicine and health care Calidris canutus health state Multivariate distance body condition Metabolic Rate physiological dysregulation Mahalanobis distance anthro-bio psy |
description |
1. The body condition of free-ranging animals affects their response to stress, decisions, ability to fulfil vital needs and, ultimately, fitness. However, this key attribute in ecology remains difficult to assess, and there is a clear need for more integrative measures than the common univariate proxies. 2. We propose a systems biology approach that positions individuals along a gradient from a ‘normal/optimal’ to ‘abnormal/suboptimal’ physiological state based on Mahalanobis distance computed from physiological biomarkers. We previously demonstrated the validity of this approach for studying ageing in humans; here, we illustrate its broad potential for ecological studies. 3. As an example, we used biomarker data on shorebirds and found that birds with an abnormal condition had a lower maximal thermogenic capacity and higher scores of inflammation, with important implications for their ecology and health. Moreover, Mahalanobis distance captured a signal of condition not detected by the individual biomarkers. 4. Overall, our results on birds and humans show that individuals with abnormal physiologies are indeed in worse condition. Moreover, our approach appears not to be particularly sensitive to which set of biomarkers is used to assess condition. Consequently, it could be applied easily to existing ecological data sets. 5. Our approach provides a general, powerful way to measure condition that helps resolve confusion as to how to deal with complex interactions and interdependence among multiple physiological and condition measures. It can be applied directly to topics such as the effect of environmental quality on body condition, risks of health outcomes, mechanisms of adaptive phenotypic plasticity, and mechanisms behind long-term processes such as senescence. Shorebirds physiological dataThis datasets contains data measured over ~1 on shorebirds (Calidris canutus) caught in the wild and kept in captivity. Specifically, the dataset includes 11 physiological biomarkers, two mass measurements, one performance ... |
format |
Dataset |
author |
Milot, Emmanuel Cohen, Alan A. Vézina, François Buehler, Deborah M. Matson, Kevin D. Piersman, Theunis Piersma, Theunis |
author_facet |
Milot, Emmanuel Cohen, Alan A. Vézina, François Buehler, Deborah M. Matson, Kevin D. Piersman, Theunis Piersma, Theunis |
author_sort |
Milot, Emmanuel |
title |
Data from: A novel integrative method for measuring body condition in ecological studies based on physiological dysregulation |
title_short |
Data from: A novel integrative method for measuring body condition in ecological studies based on physiological dysregulation |
title_full |
Data from: A novel integrative method for measuring body condition in ecological studies based on physiological dysregulation |
title_fullStr |
Data from: A novel integrative method for measuring body condition in ecological studies based on physiological dysregulation |
title_full_unstemmed |
Data from: A novel integrative method for measuring body condition in ecological studies based on physiological dysregulation |
title_sort |
data from: a novel integrative method for measuring body condition in ecological studies based on physiological dysregulation |
publishDate |
2014 |
url |
https://doi.org/10.5061/dryad.mf0ns |
genre |
Calidris canutus |
genre_facet |
Calidris canutus |
op_source |
oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:84903 10.5061/dryad.mf0ns oai:easy.dans.knaw.nl:easy-dataset:84903 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f re3data_____::r3d100000044 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 |
op_relation |
http://dx.doi.org/10.5061/dryad.mf0ns https://dx.doi.org/10.5061/dryad.mf0ns |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.mf0ns |
_version_ |
1766383388484173824 |