A half a century of measuring ungulate body condition using indices: is it time for a change?

Detalhes bibliográficos
Autor(a) principal: Serrano, E.
Data de Publicação: 2008
Outros Autores: Alpizar-Jara, R., Morellet, N., Hewison, M.A.J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/6603
https://doi.org/10.1007/s10344-008-0194-7
Resumo: From a literature review of five wildlife ecology journals since 1937, we document how using indices to monitor ungulate body condition is common practice, with the kidney fat index (KFI = weight of fat around the kidneys/weight of kidneys without fat × 100) as the favoured tool (82% of studies). In this context, we highlight the problems of using indices when underlying statistical assumptions are not met (isometry, parallel slopes between treatments). We show, with real and simulated data for two cervids with contrasting fat storage strategies, how results from analysis of variance of KFI values differ from analysis of covariance (ANCOVA) of raw data. We conclude that the KFI is affected by the restrictions typically associated with derived index values, and as a consequence, statistical analysis of the KFI could generate spurious results leading to erroneous interpretations concerning variation in body condition of ungulate populations. Thus, we recommend analysing fat weight as an untransformed variable in ANCOVA (kidney weight as covariate) to describe body condition variation in ungulates.
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spelling A half a century of measuring ungulate body condition using indices: is it time for a change?ANCOVARatiosProportionsKidney fat indexFrom a literature review of five wildlife ecology journals since 1937, we document how using indices to monitor ungulate body condition is common practice, with the kidney fat index (KFI = weight of fat around the kidneys/weight of kidneys without fat × 100) as the favoured tool (82% of studies). In this context, we highlight the problems of using indices when underlying statistical assumptions are not met (isometry, parallel slopes between treatments). We show, with real and simulated data for two cervids with contrasting fat storage strategies, how results from analysis of variance of KFI values differ from analysis of covariance (ANCOVA) of raw data. We conclude that the KFI is affected by the restrictions typically associated with derived index values, and as a consequence, statistical analysis of the KFI could generate spurious results leading to erroneous interpretations concerning variation in body condition of ungulate populations. Thus, we recommend analysing fat weight as an untransformed variable in ANCOVA (kidney weight as covariate) to describe body condition variation in ungulates.Springer-Verlag2012-12-07T14:31:32Z2012-12-072008-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/6603http://hdl.handle.net/10174/6603https://doi.org/10.1007/s10344-008-0194-7eng7. Serrano, E., Alpizar-Jara, R., Morellet, N. & Hewison, J.M. (2008). A half a century of measuring ungulate body condition using indices. Is it time for a change? European Journal of Wildlife Research, 54:675-680.1612-4642http://link.springer.com/article/10.1007%2Fs10344-008-0194-7?LI=truendndndnd336Serrano, E.Alpizar-Jara, R.Morellet, N.Hewison, M.A.J.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T18:46:14Zoai:dspace.uevora.pt:10174/6603Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:01:23.036021Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A half a century of measuring ungulate body condition using indices: is it time for a change?
title A half a century of measuring ungulate body condition using indices: is it time for a change?
spellingShingle A half a century of measuring ungulate body condition using indices: is it time for a change?
Serrano, E.
ANCOVA
Ratios
Proportions
Kidney fat index
title_short A half a century of measuring ungulate body condition using indices: is it time for a change?
title_full A half a century of measuring ungulate body condition using indices: is it time for a change?
title_fullStr A half a century of measuring ungulate body condition using indices: is it time for a change?
title_full_unstemmed A half a century of measuring ungulate body condition using indices: is it time for a change?
title_sort A half a century of measuring ungulate body condition using indices: is it time for a change?
author Serrano, E.
author_facet Serrano, E.
Alpizar-Jara, R.
Morellet, N.
Hewison, M.A.J.
author_role author
author2 Alpizar-Jara, R.
Morellet, N.
Hewison, M.A.J.
author2_role author
author
author
dc.contributor.author.fl_str_mv Serrano, E.
Alpizar-Jara, R.
Morellet, N.
Hewison, M.A.J.
dc.subject.por.fl_str_mv ANCOVA
Ratios
Proportions
Kidney fat index
topic ANCOVA
Ratios
Proportions
Kidney fat index
description From a literature review of five wildlife ecology journals since 1937, we document how using indices to monitor ungulate body condition is common practice, with the kidney fat index (KFI = weight of fat around the kidneys/weight of kidneys without fat × 100) as the favoured tool (82% of studies). In this context, we highlight the problems of using indices when underlying statistical assumptions are not met (isometry, parallel slopes between treatments). We show, with real and simulated data for two cervids with contrasting fat storage strategies, how results from analysis of variance of KFI values differ from analysis of covariance (ANCOVA) of raw data. We conclude that the KFI is affected by the restrictions typically associated with derived index values, and as a consequence, statistical analysis of the KFI could generate spurious results leading to erroneous interpretations concerning variation in body condition of ungulate populations. Thus, we recommend analysing fat weight as an untransformed variable in ANCOVA (kidney weight as covariate) to describe body condition variation in ungulates.
publishDate 2008
dc.date.none.fl_str_mv 2008-10-01T00:00:00Z
2012-12-07T14:31:32Z
2012-12-07
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/6603
http://hdl.handle.net/10174/6603
https://doi.org/10.1007/s10344-008-0194-7
url http://hdl.handle.net/10174/6603
https://doi.org/10.1007/s10344-008-0194-7
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 7. Serrano, E., Alpizar-Jara, R., Morellet, N. & Hewison, J.M. (2008). A half a century of measuring ungulate body condition using indices. Is it time for a change? European Journal of Wildlife Research, 54:675-680.
1612-4642
http://link.springer.com/article/10.1007%2Fs10344-008-0194-7?LI=true
nd
nd
nd
nd
336
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Springer-Verlag
publisher.none.fl_str_mv Springer-Verlag
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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