A field comparison of two capture-mark-recapture estimators of small mammal populations

Detalhes bibliográficos
Autor(a) principal: Gentile,Rosana
Data de Publicação: 1999
Outros Autores: Fernandez,Fernando A.S
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Zoologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-81751999000400020
Resumo: The results obtained by two estimators of population sizes, MNKA and Mh, were compared for four species of small mammmals - Didelphis aurita Wied, 1826, Philander frenata (Olfers, 1818), Nectomys squamipes (Brants, 1827) and Akodon cursor (Winge, 1887) - during a long-term population study. The MNKA estimator consistently underestimated the population sizes in relation to Mh. On the other, the probabilistic estimator Mh, which reduces bias through the jackknife technique, could not be used in all cases as its assumptions were not always met. Correction factors between the estimates obtained by the two methods were calculated for the last three species, for which catchability did not vary significantly in time and that presented positive correlation between the estimates by the two models. In order to combine the adavantages of both methods for small mammal population studies, is suggested the use of probabilistic closed population models and to calculate a correction factor based in another model which allow estimates in all cases, and which provides correlated estimates. This correction factors should be used in those cases where the probabilistic model cannot be used.
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spelling A field comparison of two capture-mark-recapture estimators of small mammal populationsCapture-recapturejackknife estimatorminimun number known alivepopulation sizeThe results obtained by two estimators of population sizes, MNKA and Mh, were compared for four species of small mammmals - Didelphis aurita Wied, 1826, Philander frenata (Olfers, 1818), Nectomys squamipes (Brants, 1827) and Akodon cursor (Winge, 1887) - during a long-term population study. The MNKA estimator consistently underestimated the population sizes in relation to Mh. On the other, the probabilistic estimator Mh, which reduces bias through the jackknife technique, could not be used in all cases as its assumptions were not always met. Correction factors between the estimates obtained by the two methods were calculated for the last three species, for which catchability did not vary significantly in time and that presented positive correlation between the estimates by the two models. In order to combine the adavantages of both methods for small mammal population studies, is suggested the use of probabilistic closed population models and to calculate a correction factor based in another model which allow estimates in all cases, and which provides correlated estimates. This correction factors should be used in those cases where the probabilistic model cannot be used.Sociedade Brasileira de Zoologia1999-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-81751999000400020Revista Brasileira de Zoologia v.16 n.4 1999reponame:Revista Brasileira de Zoologia (Online)instname:Sociedade Brasileira de Zoologia (SBZ)instacron:SBZ10.1590/S0101-81751999000400020info:eu-repo/semantics/openAccessGentile,RosanaFernandez,Fernando A.Seng2009-06-19T00:00:00Zoai:scielo:S0101-81751999000400020Revistahttp://calvados.c3sl.ufpr.br/ojs2/index.php/zooONGhttps://old.scielo.br/oai/scielo-oai.php||sbz@bio.ufpr.br1806-969X0101-8175opendoar:2009-06-19T00:00Revista Brasileira de Zoologia (Online) - Sociedade Brasileira de Zoologia (SBZ)false
dc.title.none.fl_str_mv A field comparison of two capture-mark-recapture estimators of small mammal populations
title A field comparison of two capture-mark-recapture estimators of small mammal populations
spellingShingle A field comparison of two capture-mark-recapture estimators of small mammal populations
Gentile,Rosana
Capture-recapture
jackknife estimator
minimun number known alive
population size
title_short A field comparison of two capture-mark-recapture estimators of small mammal populations
title_full A field comparison of two capture-mark-recapture estimators of small mammal populations
title_fullStr A field comparison of two capture-mark-recapture estimators of small mammal populations
title_full_unstemmed A field comparison of two capture-mark-recapture estimators of small mammal populations
title_sort A field comparison of two capture-mark-recapture estimators of small mammal populations
author Gentile,Rosana
author_facet Gentile,Rosana
Fernandez,Fernando A.S
author_role author
author2 Fernandez,Fernando A.S
author2_role author
dc.contributor.author.fl_str_mv Gentile,Rosana
Fernandez,Fernando A.S
dc.subject.por.fl_str_mv Capture-recapture
jackknife estimator
minimun number known alive
population size
topic Capture-recapture
jackknife estimator
minimun number known alive
population size
description The results obtained by two estimators of population sizes, MNKA and Mh, were compared for four species of small mammmals - Didelphis aurita Wied, 1826, Philander frenata (Olfers, 1818), Nectomys squamipes (Brants, 1827) and Akodon cursor (Winge, 1887) - during a long-term population study. The MNKA estimator consistently underestimated the population sizes in relation to Mh. On the other, the probabilistic estimator Mh, which reduces bias through the jackknife technique, could not be used in all cases as its assumptions were not always met. Correction factors between the estimates obtained by the two methods were calculated for the last three species, for which catchability did not vary significantly in time and that presented positive correlation between the estimates by the two models. In order to combine the adavantages of both methods for small mammal population studies, is suggested the use of probabilistic closed population models and to calculate a correction factor based in another model which allow estimates in all cases, and which provides correlated estimates. This correction factors should be used in those cases where the probabilistic model cannot be used.
publishDate 1999
dc.date.none.fl_str_mv 1999-01-01
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=S0101-81751999000400020
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-81751999000400020
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-81751999000400020
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 Revista Brasileira de Zoologia v.16 n.4 1999
reponame:Revista Brasileira de Zoologia (Online)
instname:Sociedade Brasileira de Zoologia (SBZ)
instacron:SBZ
instname_str Sociedade Brasileira de Zoologia (SBZ)
instacron_str SBZ
institution SBZ
reponame_str Revista Brasileira de Zoologia (Online)
collection Revista Brasileira de Zoologia (Online)
repository.name.fl_str_mv Revista Brasileira de Zoologia (Online) - Sociedade Brasileira de Zoologia (SBZ)
repository.mail.fl_str_mv ||sbz@bio.ufpr.br
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