Sustainability of small-scale fisheries in the middle Negro River (Amazonas - Brazil): A model with operational and biological variables

Detalhes bibliográficos
Autor(a) principal: Inomata, Sandrelly Oliveira
Data de Publicação: 2018
Outros Autores: Guadalupe Orellana Gonzalez, Alba Maria [UNESP], Sanchez Roman, Rodrigo Maximo [UNESP], Souza, Lucirene Aguiar de, Carvalho Freitas, Carlos Edwar de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.ecolmodel.2017.11.025
http://hdl.handle.net/11449/163811
Resumo: Fishing is a traditional and important activity in the Amazon Basin, mainly for low-income populations. Nevertheless, Amazonian fish diversity and abundance is threatened by several anthropogenic sources, including deforestation, hydroelectric dams, oil and gas development, global changes and overfishing. This article analyzes the proposal of an alternative model and discusses the predictions obtained from various scenarios and relates them to the management of commercial fishing in the region of the middle Negro River. The model was developed using Stella (R) 9.0, a software package based on system dynamics. Two scenarios were simulated to investigate the dynamics of the fish stock: (a) scenario I: considered a reduction in stock replacement values to half the initial values, a 50% increase in fishing effort, and variable costs and average monthly prices of fish, and; (B) scenario II: analyzed the effect of prohibiting commercial fishing. The planning horizon used was 120 months. Given the results achieved by the simulations, it would be interesting for authorities in the region to have effective control over fishing access and for users to be aware that these natural resources, even though renewable, are susceptible to depletion. (C) 2017 Elsevier B.V. All rights reserved.
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spelling Sustainability of small-scale fisheries in the middle Negro River (Amazonas - Brazil): A model with operational and biological variablesSystem dynamicsFishingSustainabilityEcosystem modelsAmazonianFishing is a traditional and important activity in the Amazon Basin, mainly for low-income populations. Nevertheless, Amazonian fish diversity and abundance is threatened by several anthropogenic sources, including deforestation, hydroelectric dams, oil and gas development, global changes and overfishing. This article analyzes the proposal of an alternative model and discusses the predictions obtained from various scenarios and relates them to the management of commercial fishing in the region of the middle Negro River. The model was developed using Stella (R) 9.0, a software package based on system dynamics. Two scenarios were simulated to investigate the dynamics of the fish stock: (a) scenario I: considered a reduction in stock replacement values to half the initial values, a 50% increase in fishing effort, and variable costs and average monthly prices of fish, and; (B) scenario II: analyzed the effect of prohibiting commercial fishing. The planning horizon used was 120 months. Given the results achieved by the simulations, it would be interesting for authorities in the region to have effective control over fishing access and for users to be aware that these natural resources, even though renewable, are susceptible to depletion. (C) 2017 Elsevier B.V. All rights reserved.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)State of Amazonas Research Foundation through PRONEXUniv Fed Amazonas, Fac Ciencias Agr, Dept Ciencias Pesqueiras, Campus Univ,Av Gen Rodrigo Octavio Jordao Ramos, BR-69077000 Manaus, AM, BrazilUniv Estadual Paulista, Fac Ciencias Agr, Dept Engn Rural, Rua Jose Barbosa de Barros 1780, BR-18610307 Botucatu, SP, BrazilUniv Estadual Paulista, Fac Ciencias Agr, Dept Engn Rural, Rua Jose Barbosa de Barros 1780, BR-18610307 Botucatu, SP, BrazilState of Amazonas Research Foundation through PRONEX: 062.01053/2011Elsevier B.V.Univ Fed AmazonasUniversidade Estadual Paulista (Unesp)Inomata, Sandrelly OliveiraGuadalupe Orellana Gonzalez, Alba Maria [UNESP]Sanchez Roman, Rodrigo Maximo [UNESP]Souza, Lucirene Aguiar deCarvalho Freitas, Carlos Edwar de2018-11-26T17:45:04Z2018-11-26T17:45:04Z2018-01-24info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article312-320application/pdfhttp://dx.doi.org/10.1016/j.ecolmodel.2017.11.025Ecological Modelling. Amsterdam: Elsevier Science Bv, v. 368, p. 312-320, 2018.0304-3800http://hdl.handle.net/11449/16381110.1016/j.ecolmodel.2017.11.025WOS:000424187200028WOS000424187200028.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEcological Modelling1,084info:eu-repo/semantics/openAccess2024-04-30T14:00:35Zoai:repositorio.unesp.br:11449/163811Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:13:40.575057Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Sustainability of small-scale fisheries in the middle Negro River (Amazonas - Brazil): A model with operational and biological variables
title Sustainability of small-scale fisheries in the middle Negro River (Amazonas - Brazil): A model with operational and biological variables
spellingShingle Sustainability of small-scale fisheries in the middle Negro River (Amazonas - Brazil): A model with operational and biological variables
Inomata, Sandrelly Oliveira
System dynamics
Fishing
Sustainability
Ecosystem models
Amazonian
title_short Sustainability of small-scale fisheries in the middle Negro River (Amazonas - Brazil): A model with operational and biological variables
title_full Sustainability of small-scale fisheries in the middle Negro River (Amazonas - Brazil): A model with operational and biological variables
title_fullStr Sustainability of small-scale fisheries in the middle Negro River (Amazonas - Brazil): A model with operational and biological variables
title_full_unstemmed Sustainability of small-scale fisheries in the middle Negro River (Amazonas - Brazil): A model with operational and biological variables
title_sort Sustainability of small-scale fisheries in the middle Negro River (Amazonas - Brazil): A model with operational and biological variables
author Inomata, Sandrelly Oliveira
author_facet Inomata, Sandrelly Oliveira
Guadalupe Orellana Gonzalez, Alba Maria [UNESP]
Sanchez Roman, Rodrigo Maximo [UNESP]
Souza, Lucirene Aguiar de
Carvalho Freitas, Carlos Edwar de
author_role author
author2 Guadalupe Orellana Gonzalez, Alba Maria [UNESP]
Sanchez Roman, Rodrigo Maximo [UNESP]
Souza, Lucirene Aguiar de
Carvalho Freitas, Carlos Edwar de
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Univ Fed Amazonas
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Inomata, Sandrelly Oliveira
Guadalupe Orellana Gonzalez, Alba Maria [UNESP]
Sanchez Roman, Rodrigo Maximo [UNESP]
Souza, Lucirene Aguiar de
Carvalho Freitas, Carlos Edwar de
dc.subject.por.fl_str_mv System dynamics
Fishing
Sustainability
Ecosystem models
Amazonian
topic System dynamics
Fishing
Sustainability
Ecosystem models
Amazonian
description Fishing is a traditional and important activity in the Amazon Basin, mainly for low-income populations. Nevertheless, Amazonian fish diversity and abundance is threatened by several anthropogenic sources, including deforestation, hydroelectric dams, oil and gas development, global changes and overfishing. This article analyzes the proposal of an alternative model and discusses the predictions obtained from various scenarios and relates them to the management of commercial fishing in the region of the middle Negro River. The model was developed using Stella (R) 9.0, a software package based on system dynamics. Two scenarios were simulated to investigate the dynamics of the fish stock: (a) scenario I: considered a reduction in stock replacement values to half the initial values, a 50% increase in fishing effort, and variable costs and average monthly prices of fish, and; (B) scenario II: analyzed the effect of prohibiting commercial fishing. The planning horizon used was 120 months. Given the results achieved by the simulations, it would be interesting for authorities in the region to have effective control over fishing access and for users to be aware that these natural resources, even though renewable, are susceptible to depletion. (C) 2017 Elsevier B.V. All rights reserved.
publishDate 2018
dc.date.none.fl_str_mv 2018-11-26T17:45:04Z
2018-11-26T17:45:04Z
2018-01-24
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/10.1016/j.ecolmodel.2017.11.025
Ecological Modelling. Amsterdam: Elsevier Science Bv, v. 368, p. 312-320, 2018.
0304-3800
http://hdl.handle.net/11449/163811
10.1016/j.ecolmodel.2017.11.025
WOS:000424187200028
WOS000424187200028.pdf
url http://dx.doi.org/10.1016/j.ecolmodel.2017.11.025
http://hdl.handle.net/11449/163811
identifier_str_mv Ecological Modelling. Amsterdam: Elsevier Science Bv, v. 368, p. 312-320, 2018.
0304-3800
10.1016/j.ecolmodel.2017.11.025
WOS:000424187200028
WOS000424187200028.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Ecological Modelling
1,084
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 312-320
application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
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
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