A half a century of measuring ungulate body condition using indices: is it time for a change?
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , , |
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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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 |
eu_rights_str_mv |
openAccess |
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) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799136497361747968 |