Low accuracy of identifying Neotropical deer species by scat morphology

Detalhes bibliográficos
Autor(a) principal: Costa, Eugênia Barbosa Varella [UNESP]
Data de Publicação: 2017
Outros Autores: de Oliveira, Márcio Leite [UNESP], Peres, Pedro Henrique de Faria [UNESP], Grotta-Neto, Francisco [UNESP], Vogliotti, Alexandre, Piovezan, Ubiratan, Duarte, José Maurício Barbanti [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1080/01650521.2016.1263418
http://hdl.handle.net/11449/178466
Resumo: Morphometric feces data are used to identify ungulates, but their effectiveness is questioned by numerous authors. Herein, we evaluated the efficiency of this tool in discriminating scat samples from Neotropical deer with sympatric distributions. We performed discriminant analysis of previously identified scat samples (n = 204). The accuracy of discriminant analysis (56–92%) was lower than the confidence limit established in this study in all sympatric combinations expected in these biomes. These results demonstrate serious limitations regarding the use of scat morphometry for species identification of Neotropical deer and reinforce the need to use non-invasive genetic techniques.
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spelling Low accuracy of identifying Neotropical deer species by scat morphologyCervidaefecal DNAFecal samplesMazamascat morphologyMorphometric feces data are used to identify ungulates, but their effectiveness is questioned by numerous authors. Herein, we evaluated the efficiency of this tool in discriminating scat samples from Neotropical deer with sympatric distributions. We performed discriminant analysis of previously identified scat samples (n = 204). The accuracy of discriminant analysis (56–92%) was lower than the confidence limit established in this study in all sympatric combinations expected in these biomes. These results demonstrate serious limitations regarding the use of scat morphometry for species identification of Neotropical deer and reinforce the need to use non-invasive genetic techniques.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Núcleo de Pesquisa e Conservação de Cervídeos (NUPECCE) Universidade Estadual Paulista (UNESP)Laboratório de Biodiversidade Conservação e Ecologia de Animais Silvestres (LABCEAS) Universidade Federal do Paraná (UFPR)Universidade Federal da Integração Latino-Americana (UNILA) Parque Tecnológico ItaipuEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Departamento de Zootecnia Universidade Estadual Paulista (UNESP)Núcleo de Pesquisa e Conservação de Cervídeos (NUPECCE) Universidade Estadual Paulista (UNESP)Departamento de Zootecnia Universidade Estadual Paulista (UNESP)CNPq: 15/2007FAPESP: 2010/50748-3FAPESP: 2012/50206-1Universidade Estadual Paulista (Unesp)Universidade Federal do Paraná (UFPR)Parque Tecnológico ItaipuEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Costa, Eugênia Barbosa Varella [UNESP]de Oliveira, Márcio Leite [UNESP]Peres, Pedro Henrique de Faria [UNESP]Grotta-Neto, Francisco [UNESP]Vogliotti, AlexandrePiovezan, UbiratanDuarte, José Maurício Barbanti [UNESP]2018-12-11T17:30:28Z2018-12-11T17:30:28Z2017-01-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article37-42application/pdfhttp://dx.doi.org/10.1080/01650521.2016.1263418Studies on Neotropical Fauna and Environment, v. 52, n. 1, p. 37-42, 2017.1744-51400165-0521http://hdl.handle.net/11449/17846610.1080/01650521.2016.12634182-s2.0-850038648682-s2.0-85003864868.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengStudies on Neotropical Fauna and Environment0,445info:eu-repo/semantics/openAccess2024-06-07T18:40:38Zoai:repositorio.unesp.br:11449/178466Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:38:27.889455Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Low accuracy of identifying Neotropical deer species by scat morphology
title Low accuracy of identifying Neotropical deer species by scat morphology
spellingShingle Low accuracy of identifying Neotropical deer species by scat morphology
Costa, Eugênia Barbosa Varella [UNESP]
Cervidae
fecal DNA
Fecal samples
Mazama
scat morphology
title_short Low accuracy of identifying Neotropical deer species by scat morphology
title_full Low accuracy of identifying Neotropical deer species by scat morphology
title_fullStr Low accuracy of identifying Neotropical deer species by scat morphology
title_full_unstemmed Low accuracy of identifying Neotropical deer species by scat morphology
title_sort Low accuracy of identifying Neotropical deer species by scat morphology
author Costa, Eugênia Barbosa Varella [UNESP]
author_facet Costa, Eugênia Barbosa Varella [UNESP]
de Oliveira, Márcio Leite [UNESP]
Peres, Pedro Henrique de Faria [UNESP]
Grotta-Neto, Francisco [UNESP]
Vogliotti, Alexandre
Piovezan, Ubiratan
Duarte, José Maurício Barbanti [UNESP]
author_role author
author2 de Oliveira, Márcio Leite [UNESP]
Peres, Pedro Henrique de Faria [UNESP]
Grotta-Neto, Francisco [UNESP]
Vogliotti, Alexandre
Piovezan, Ubiratan
Duarte, José Maurício Barbanti [UNESP]
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal do Paraná (UFPR)
Parque Tecnológico Itaipu
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.author.fl_str_mv Costa, Eugênia Barbosa Varella [UNESP]
de Oliveira, Márcio Leite [UNESP]
Peres, Pedro Henrique de Faria [UNESP]
Grotta-Neto, Francisco [UNESP]
Vogliotti, Alexandre
Piovezan, Ubiratan
Duarte, José Maurício Barbanti [UNESP]
dc.subject.por.fl_str_mv Cervidae
fecal DNA
Fecal samples
Mazama
scat morphology
topic Cervidae
fecal DNA
Fecal samples
Mazama
scat morphology
description Morphometric feces data are used to identify ungulates, but their effectiveness is questioned by numerous authors. Herein, we evaluated the efficiency of this tool in discriminating scat samples from Neotropical deer with sympatric distributions. We performed discriminant analysis of previously identified scat samples (n = 204). The accuracy of discriminant analysis (56–92%) was lower than the confidence limit established in this study in all sympatric combinations expected in these biomes. These results demonstrate serious limitations regarding the use of scat morphometry for species identification of Neotropical deer and reinforce the need to use non-invasive genetic techniques.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-02
2018-12-11T17:30:28Z
2018-12-11T17:30:28Z
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://dx.doi.org/10.1080/01650521.2016.1263418
Studies on Neotropical Fauna and Environment, v. 52, n. 1, p. 37-42, 2017.
1744-5140
0165-0521
http://hdl.handle.net/11449/178466
10.1080/01650521.2016.1263418
2-s2.0-85003864868
2-s2.0-85003864868.pdf
url http://dx.doi.org/10.1080/01650521.2016.1263418
http://hdl.handle.net/11449/178466
identifier_str_mv Studies on Neotropical Fauna and Environment, v. 52, n. 1, p. 37-42, 2017.
1744-5140
0165-0521
10.1080/01650521.2016.1263418
2-s2.0-85003864868
2-s2.0-85003864868.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Studies on Neotropical Fauna and Environment
0,445
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 37-42
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128543090016256