Richards growth model and viability indicators for populations subject to interventions

Detalhes bibliográficos
Autor(a) principal: Loibel,Selene
Data de Publicação: 2010
Outros Autores: Andrade,Marinho G., Val,João B.R. do, Freitas,Alfredo R. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652010000400028
Resumo: In this work we study the problem of modeling identification of a population employing a discrete dynamic model based on the Richards growth model. The population is subjected to interventions due to consumption, such as hunting or farming animals. The model identification allows us to estimate the probability or the average time for a population number to reach a certain level. The parameter inference for these models are obtained with the use of the likelihood profile technique as developed in this paper. The identification method here developed can be applied to evaluate the productivity of animal husbandry or to evaluate the risk of extinction of autochthon populations. It is applied to data of the Brazilian beef cattle herd population, and the the population number to reach a certain goal level is investigated.
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spelling Richards growth model and viability indicators for populations subject to interventionsRichards growth modelpopulation riskharvested populationsparametric estimatelikelihood profile functionIn this work we study the problem of modeling identification of a population employing a discrete dynamic model based on the Richards growth model. The population is subjected to interventions due to consumption, such as hunting or farming animals. The model identification allows us to estimate the probability or the average time for a population number to reach a certain level. The parameter inference for these models are obtained with the use of the likelihood profile technique as developed in this paper. The identification method here developed can be applied to evaluate the productivity of animal husbandry or to evaluate the risk of extinction of autochthon populations. It is applied to data of the Brazilian beef cattle herd population, and the the population number to reach a certain goal level is investigated.Academia Brasileira de Ciências2010-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652010000400028Anais da Academia Brasileira de Ciências v.82 n.4 2010reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/S0001-37652010000400028info:eu-repo/semantics/openAccessLoibel,SeleneAndrade,Marinho G.Val,João B.R. doFreitas,Alfredo R. deeng2011-02-28T00:00:00Zoai:scielo:S0001-37652010000400028Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2011-02-28T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Richards growth model and viability indicators for populations subject to interventions
title Richards growth model and viability indicators for populations subject to interventions
spellingShingle Richards growth model and viability indicators for populations subject to interventions
Loibel,Selene
Richards growth model
population risk
harvested populations
parametric estimate
likelihood profile function
title_short Richards growth model and viability indicators for populations subject to interventions
title_full Richards growth model and viability indicators for populations subject to interventions
title_fullStr Richards growth model and viability indicators for populations subject to interventions
title_full_unstemmed Richards growth model and viability indicators for populations subject to interventions
title_sort Richards growth model and viability indicators for populations subject to interventions
author Loibel,Selene
author_facet Loibel,Selene
Andrade,Marinho G.
Val,João B.R. do
Freitas,Alfredo R. de
author_role author
author2 Andrade,Marinho G.
Val,João B.R. do
Freitas,Alfredo R. de
author2_role author
author
author
dc.contributor.author.fl_str_mv Loibel,Selene
Andrade,Marinho G.
Val,João B.R. do
Freitas,Alfredo R. de
dc.subject.por.fl_str_mv Richards growth model
population risk
harvested populations
parametric estimate
likelihood profile function
topic Richards growth model
population risk
harvested populations
parametric estimate
likelihood profile function
description In this work we study the problem of modeling identification of a population employing a discrete dynamic model based on the Richards growth model. The population is subjected to interventions due to consumption, such as hunting or farming animals. The model identification allows us to estimate the probability or the average time for a population number to reach a certain level. The parameter inference for these models are obtained with the use of the likelihood profile technique as developed in this paper. The identification method here developed can be applied to evaluate the productivity of animal husbandry or to evaluate the risk of extinction of autochthon populations. It is applied to data of the Brazilian beef cattle herd population, and the the population number to reach a certain goal level is investigated.
publishDate 2010
dc.date.none.fl_str_mv 2010-12-01
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=S0001-37652010000400028
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652010000400028
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0001-37652010000400028
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 Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.82 n.4 2010
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
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instname_str Academia Brasileira de Ciências (ABC)
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reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
repository.mail.fl_str_mv ||aabc@abc.org.br
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