Fuzzy subset approach in coupled population dynamics of blowflies

Detalhes bibliográficos
Autor(a) principal: Castanho, Maria J. P.
Data de Publicação: 2006
Outros Autores: Magnago, Karine F., Bassanezi, Rodney C., Godoy, Wesley A. C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.4067/S0716-97602006000200016
http://hdl.handle.net/11449/18823
Resumo: This paper is a study on the population dynamics of blowflies employing a density-dependent. non-linear mathematical model and a coupled population formalism. In this Study, we investigated the coupled population dynamics applying fuzzy subsets to model the Population trajectory. analyzing demographic parameters such as fecundity, Survival, and migration. The main results suggest different possibilities in terms of dynamic behavior produced by migration in coupled Populations between distinct environments and the rescue effect generated by the connection between populations. It was possible to conclude that environmental heterogeneity can play an important role in blowfly metapopulation systems. The implications of these results for population dynamics of blowflies are discussed.
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spelling Fuzzy subset approach in coupled population dynamics of blowfliesfuzzy logicblowfliescoupled populationspopulation biologyThis paper is a study on the population dynamics of blowflies employing a density-dependent. non-linear mathematical model and a coupled population formalism. In this Study, we investigated the coupled population dynamics applying fuzzy subsets to model the Population trajectory. analyzing demographic parameters such as fecundity, Survival, and migration. The main results suggest different possibilities in terms of dynamic behavior produced by migration in coupled Populations between distinct environments and the rescue effect generated by the connection between populations. It was possible to conclude that environmental heterogeneity can play an important role in blowfly metapopulation systems. The implications of these results for population dynamics of blowflies are discussed.Univ Estadual Paulista, Inst Biociencias, Dept Parasitol, BR-18618000 Botucatu, SP, BrazilUnicentro, DEMAT, Guarapuava, Parana, BrazilFundação Univ Fed Rio Grande, Dept Matemat, Rio Grande, Rio Grande do S, BrazilUniv Estadual Campinas, IMECC, São Paulo, BrazilUniv Estadual Paulista, Inst Biociencias, Dept Parasitol, BR-18618000 Botucatu, SP, BrazilSociedad Biolgia ChileUniversidade Estadual Paulista (Unesp)Universidade Estadual do Centro Oeste (UNICENTRO)Fundação Univ Fed Rio GrandeUniversidade Estadual de Campinas (UNICAMP)Castanho, Maria J. P.Magnago, Karine F.Bassanezi, Rodney C.Godoy, Wesley A. C.2014-05-20T13:52:42Z2014-05-20T13:52:42Z2006-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article341-352application/pdfhttp://dx.doi.org/10.4067/S0716-97602006000200016Biological Research. Santiago: Sociedad Biolgia Chile, v. 39, n. 2, p. 341-352, 2006.0716-9760http://hdl.handle.net/11449/1882310.4067/S0716-97602006000200016S0716-97602006000200016WOS:000238917800016WOS000238917800016.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBiological Research2.3570,654info:eu-repo/semantics/openAccess2023-10-17T06:05:03Zoai:repositorio.unesp.br:11449/18823Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-10-17T06:05:03Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Fuzzy subset approach in coupled population dynamics of blowflies
title Fuzzy subset approach in coupled population dynamics of blowflies
spellingShingle Fuzzy subset approach in coupled population dynamics of blowflies
Castanho, Maria J. P.
fuzzy logic
blowflies
coupled populations
population biology
title_short Fuzzy subset approach in coupled population dynamics of blowflies
title_full Fuzzy subset approach in coupled population dynamics of blowflies
title_fullStr Fuzzy subset approach in coupled population dynamics of blowflies
title_full_unstemmed Fuzzy subset approach in coupled population dynamics of blowflies
title_sort Fuzzy subset approach in coupled population dynamics of blowflies
author Castanho, Maria J. P.
author_facet Castanho, Maria J. P.
Magnago, Karine F.
Bassanezi, Rodney C.
Godoy, Wesley A. C.
author_role author
author2 Magnago, Karine F.
Bassanezi, Rodney C.
Godoy, Wesley A. C.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Estadual do Centro Oeste (UNICENTRO)
Fundação Univ Fed Rio Grande
Universidade Estadual de Campinas (UNICAMP)
dc.contributor.author.fl_str_mv Castanho, Maria J. P.
Magnago, Karine F.
Bassanezi, Rodney C.
Godoy, Wesley A. C.
dc.subject.por.fl_str_mv fuzzy logic
blowflies
coupled populations
population biology
topic fuzzy logic
blowflies
coupled populations
population biology
description This paper is a study on the population dynamics of blowflies employing a density-dependent. non-linear mathematical model and a coupled population formalism. In this Study, we investigated the coupled population dynamics applying fuzzy subsets to model the Population trajectory. analyzing demographic parameters such as fecundity, Survival, and migration. The main results suggest different possibilities in terms of dynamic behavior produced by migration in coupled Populations between distinct environments and the rescue effect generated by the connection between populations. It was possible to conclude that environmental heterogeneity can play an important role in blowfly metapopulation systems. The implications of these results for population dynamics of blowflies are discussed.
publishDate 2006
dc.date.none.fl_str_mv 2006-01-01
2014-05-20T13:52:42Z
2014-05-20T13:52:42Z
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/10.4067/S0716-97602006000200016
Biological Research. Santiago: Sociedad Biolgia Chile, v. 39, n. 2, p. 341-352, 2006.
0716-9760
http://hdl.handle.net/11449/18823
10.4067/S0716-97602006000200016
S0716-97602006000200016
WOS:000238917800016
WOS000238917800016.pdf
url http://dx.doi.org/10.4067/S0716-97602006000200016
http://hdl.handle.net/11449/18823
identifier_str_mv Biological Research. Santiago: Sociedad Biolgia Chile, v. 39, n. 2, p. 341-352, 2006.
0716-9760
10.4067/S0716-97602006000200016
S0716-97602006000200016
WOS:000238917800016
WOS000238917800016.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Biological Research
2.357
0,654
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 341-352
application/pdf
dc.publisher.none.fl_str_mv Sociedad Biolgia Chile
publisher.none.fl_str_mv Sociedad Biolgia Chile
dc.source.none.fl_str_mv Web of Science
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_ 1803649439401771008

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