A comparison of abundance estimators for small mammal populations
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Zoologia (Curitiba. Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-46702013000200008 |
Resumo: | A major difficulty in the application of probabilistic models to estimations of mammal abundance is obtaining a data set that meets all of the assumptions of the model. In this paper, we evaluated the concordance correlation among three population size estimators, the minimum number alive (MNA), jackknife and the model suggested by the selection algorithm in CAPTURE (the best-fit model), using long-term data on three Brazilian small mammal species obtained from three different studies. The concordance correlation coefficients between the abundance estimates indicated that the probabilistic and enumeration estimators were highly correlated, giving concordant population estimates, except for one species in one of the studies. The results indicate the adequacy of using enumeration estimates as indexes for population size when scarce data do not allow for the use of probabilistic methods. Differences observed in the behavior of enumeration and probabilistic methods among species and studies can be related to the exclusive sampling design of each area, species-specific movement characteristics and whether a significant portion of the population could be sampled. |
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Zoologia (Curitiba. Online) |
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A comparison of abundance estimators for small mammal populationsAtlantic Rainforestcapture-mark-recaptureDidelphimorphiaMNARodentiaA major difficulty in the application of probabilistic models to estimations of mammal abundance is obtaining a data set that meets all of the assumptions of the model. In this paper, we evaluated the concordance correlation among three population size estimators, the minimum number alive (MNA), jackknife and the model suggested by the selection algorithm in CAPTURE (the best-fit model), using long-term data on three Brazilian small mammal species obtained from three different studies. The concordance correlation coefficients between the abundance estimates indicated that the probabilistic and enumeration estimators were highly correlated, giving concordant population estimates, except for one species in one of the studies. The results indicate the adequacy of using enumeration estimates as indexes for population size when scarce data do not allow for the use of probabilistic methods. Differences observed in the behavior of enumeration and probabilistic methods among species and studies can be related to the exclusive sampling design of each area, species-specific movement characteristics and whether a significant portion of the population could be sampled.Sociedade Brasileira de Zoologia2013-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-46702013000200008Zoologia (Curitiba) v.30 n.2 2013reponame:Zoologia (Curitiba. Online)instname:Sociedade Brasileira de Zoologiainstacron:SBZ10.1590/S1984-46702013000200008info:eu-repo/semantics/openAccessPacheco,MarcelleKajin,MajaGentile,RosanaZangrandi,Priscilla L.Vieira,Marcus V.Cerqueira,Ruieng2013-05-09T00:00:00Zoai:scielo:S1984-46702013000200008Revistahttp://www.scielo.br/zoolONGhttps://old.scielo.br/oai/scielo-oai.phpsbz@sbzoologia.org.br1984-46891984-4670opendoar:2013-05-09T00:00Zoologia (Curitiba. Online) - Sociedade Brasileira de Zoologiafalse |
dc.title.none.fl_str_mv |
A comparison of abundance estimators for small mammal populations |
title |
A comparison of abundance estimators for small mammal populations |
spellingShingle |
A comparison of abundance estimators for small mammal populations Pacheco,Marcelle Atlantic Rainforest capture-mark-recapture Didelphimorphia MNA Rodentia |
title_short |
A comparison of abundance estimators for small mammal populations |
title_full |
A comparison of abundance estimators for small mammal populations |
title_fullStr |
A comparison of abundance estimators for small mammal populations |
title_full_unstemmed |
A comparison of abundance estimators for small mammal populations |
title_sort |
A comparison of abundance estimators for small mammal populations |
author |
Pacheco,Marcelle |
author_facet |
Pacheco,Marcelle Kajin,Maja Gentile,Rosana Zangrandi,Priscilla L. Vieira,Marcus V. Cerqueira,Rui |
author_role |
author |
author2 |
Kajin,Maja Gentile,Rosana Zangrandi,Priscilla L. Vieira,Marcus V. Cerqueira,Rui |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Pacheco,Marcelle Kajin,Maja Gentile,Rosana Zangrandi,Priscilla L. Vieira,Marcus V. Cerqueira,Rui |
dc.subject.por.fl_str_mv |
Atlantic Rainforest capture-mark-recapture Didelphimorphia MNA Rodentia |
topic |
Atlantic Rainforest capture-mark-recapture Didelphimorphia MNA Rodentia |
description |
A major difficulty in the application of probabilistic models to estimations of mammal abundance is obtaining a data set that meets all of the assumptions of the model. In this paper, we evaluated the concordance correlation among three population size estimators, the minimum number alive (MNA), jackknife and the model suggested by the selection algorithm in CAPTURE (the best-fit model), using long-term data on three Brazilian small mammal species obtained from three different studies. The concordance correlation coefficients between the abundance estimates indicated that the probabilistic and enumeration estimators were highly correlated, giving concordant population estimates, except for one species in one of the studies. The results indicate the adequacy of using enumeration estimates as indexes for population size when scarce data do not allow for the use of probabilistic methods. Differences observed in the behavior of enumeration and probabilistic methods among species and studies can be related to the exclusive sampling design of each area, species-specific movement characteristics and whether a significant portion of the population could be sampled. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-46702013000200008 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-46702013000200008 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1984-46702013000200008 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Zoologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Zoologia |
dc.source.none.fl_str_mv |
Zoologia (Curitiba) v.30 n.2 2013 reponame:Zoologia (Curitiba. Online) instname:Sociedade Brasileira de Zoologia instacron:SBZ |
instname_str |
Sociedade Brasileira de Zoologia |
instacron_str |
SBZ |
institution |
SBZ |
reponame_str |
Zoologia (Curitiba. Online) |
collection |
Zoologia (Curitiba. Online) |
repository.name.fl_str_mv |
Zoologia (Curitiba. Online) - Sociedade Brasileira de Zoologia |
repository.mail.fl_str_mv |
sbz@sbzoologia.org.br |
_version_ |
1750318091232870400 |