Sustainability of small-scale fisheries in the middle Negro River (Amazonas - Brazil): A model with operational and biological variables
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
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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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 |
|
_version_ |
1808128621781450752 |