Mathematical modeling for the management of the carrying capacity of aquaculture enterprises in lakes and reservoirs

Detalhes bibliográficos
Autor(a) principal: Bueno, Guilherme Wolff [UNESP]
Data de Publicação: 2017
Outros Autores: Bureau, Dominique, Skipper-Horton, James Owen, Roubach, Rodrigo, de Mattos, Flávia Tavares, Bernal, Francisco Ernesto Moreno
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/S0100-204X2017000900001
http://hdl.handle.net/11449/175396
Resumo: Flooded areas of reservoirs and artificial lakes have been increasingly used for fish production; however, the waste generated by aquaculture has become a concern for the sustainable development of this activity. One of the main strategies adopted by management and regulatory agencies is the use of hydrodynamic models that calculate the carrying or nutrient load capacity of a particular water body and the effect of fish farming. These models are precise in the development of optimal strategies for feeding and waste calculation. This review paper addresses this topic and describes the methodology developed for the analysis and simulation of the carrying capacity for fish production, based on the integration of the Fish-PrFEQ nutritional bioenergetic model and the hydrodynamic model of Dillon & Rigler. This methodology allows evaluating the real contribution of aquaculture waste and assists in the planning and management of aquaculture in these aquatic environments, besides enabling and encouraging producers and the aquaculture industry to use fish food with better nutritional quality and lower environmental impact.
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spelling Mathematical modeling for the management of the carrying capacity of aquaculture enterprises in lakes and reservoirsHydrodynamic modelingMass balanceNutritional bioenergeticsSolid wasteSustainable aquacultureFlooded areas of reservoirs and artificial lakes have been increasingly used for fish production; however, the waste generated by aquaculture has become a concern for the sustainable development of this activity. One of the main strategies adopted by management and regulatory agencies is the use of hydrodynamic models that calculate the carrying or nutrient load capacity of a particular water body and the effect of fish farming. These models are precise in the development of optimal strategies for feeding and waste calculation. This review paper addresses this topic and describes the methodology developed for the analysis and simulation of the carrying capacity for fish production, based on the integration of the Fish-PrFEQ nutritional bioenergetic model and the hydrodynamic model of Dillon & Rigler. This methodology allows evaluating the real contribution of aquaculture waste and assists in the planning and management of aquaculture in these aquatic environments, besides enabling and encouraging producers and the aquaculture industry to use fish food with better nutritional quality and lower environmental impact.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Universidade Estadual Paulista (Unesp) Faculdade de Engenharia de Pesca Centro de Aquicultura da Unesp (Caunesp), Avenida Nelson Brihi Badur, no 430, Sala 05University of Guelph Animal Biosciences DepartmentMinistério da Ciência Tecnologia Inovações e Comunicações Esplanada dos Ministérios, Bloco EEmbrapa Pesca e Aquicultura, Prolongamento da Ave. NS 10, Cruzamento com a Ave. LO 18Universidade de Brasília Faculdade de Agronomia e Medicina Veterinária, Campus Darcy Ribeiro, ICC Sul, Asa NorteUniversidade Estadual Paulista (Unesp) Faculdade de Engenharia de Pesca Centro de Aquicultura da Unesp (Caunesp), Avenida Nelson Brihi Badur, no 430, Sala 05Universidade Estadual Paulista (Unesp)Animal Biosciences DepartmentEsplanada dos MinistériosEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade de Brasília (UnB)Bueno, Guilherme Wolff [UNESP]Bureau, DominiqueSkipper-Horton, James OwenRoubach, Rodrigode Mattos, Flávia TavaresBernal, Francisco Ernesto Moreno2018-12-11T17:15:38Z2018-12-11T17:15:38Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article695-706application/pdfhttp://dx.doi.org/10.1590/S0100-204X2017000900001Pesquisa Agropecuaria Brasileira, v. 52, n. 9, p. 695-706, 2017.1678-39210100-204Xhttp://hdl.handle.net/11449/17539610.1590/S0100-204X2017000900001S0100-204X20170009006952-s2.0-85032380174S0100-204X2017000900695.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPesquisa Agropecuaria Brasileira0,469info:eu-repo/semantics/openAccess2024-04-09T15:43:44Zoai:repositorio.unesp.br:11449/175396Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T00:09:49.801825Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Mathematical modeling for the management of the carrying capacity of aquaculture enterprises in lakes and reservoirs
title Mathematical modeling for the management of the carrying capacity of aquaculture enterprises in lakes and reservoirs
spellingShingle Mathematical modeling for the management of the carrying capacity of aquaculture enterprises in lakes and reservoirs
Bueno, Guilherme Wolff [UNESP]
Hydrodynamic modeling
Mass balance
Nutritional bioenergetics
Solid waste
Sustainable aquaculture
title_short Mathematical modeling for the management of the carrying capacity of aquaculture enterprises in lakes and reservoirs
title_full Mathematical modeling for the management of the carrying capacity of aquaculture enterprises in lakes and reservoirs
title_fullStr Mathematical modeling for the management of the carrying capacity of aquaculture enterprises in lakes and reservoirs
title_full_unstemmed Mathematical modeling for the management of the carrying capacity of aquaculture enterprises in lakes and reservoirs
title_sort Mathematical modeling for the management of the carrying capacity of aquaculture enterprises in lakes and reservoirs
author Bueno, Guilherme Wolff [UNESP]
author_facet Bueno, Guilherme Wolff [UNESP]
Bureau, Dominique
Skipper-Horton, James Owen
Roubach, Rodrigo
de Mattos, Flávia Tavares
Bernal, Francisco Ernesto Moreno
author_role author
author2 Bureau, Dominique
Skipper-Horton, James Owen
Roubach, Rodrigo
de Mattos, Flávia Tavares
Bernal, Francisco Ernesto Moreno
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Animal Biosciences Department
Esplanada dos Ministérios
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
Universidade de Brasília (UnB)
dc.contributor.author.fl_str_mv Bueno, Guilherme Wolff [UNESP]
Bureau, Dominique
Skipper-Horton, James Owen
Roubach, Rodrigo
de Mattos, Flávia Tavares
Bernal, Francisco Ernesto Moreno
dc.subject.por.fl_str_mv Hydrodynamic modeling
Mass balance
Nutritional bioenergetics
Solid waste
Sustainable aquaculture
topic Hydrodynamic modeling
Mass balance
Nutritional bioenergetics
Solid waste
Sustainable aquaculture
description Flooded areas of reservoirs and artificial lakes have been increasingly used for fish production; however, the waste generated by aquaculture has become a concern for the sustainable development of this activity. One of the main strategies adopted by management and regulatory agencies is the use of hydrodynamic models that calculate the carrying or nutrient load capacity of a particular water body and the effect of fish farming. These models are precise in the development of optimal strategies for feeding and waste calculation. This review paper addresses this topic and describes the methodology developed for the analysis and simulation of the carrying capacity for fish production, based on the integration of the Fish-PrFEQ nutritional bioenergetic model and the hydrodynamic model of Dillon & Rigler. This methodology allows evaluating the real contribution of aquaculture waste and assists in the planning and management of aquaculture in these aquatic environments, besides enabling and encouraging producers and the aquaculture industry to use fish food with better nutritional quality and lower environmental impact.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
2018-12-11T17:15:38Z
2018-12-11T17:15:38Z
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/10.1590/S0100-204X2017000900001
Pesquisa Agropecuaria Brasileira, v. 52, n. 9, p. 695-706, 2017.
1678-3921
0100-204X
http://hdl.handle.net/11449/175396
10.1590/S0100-204X2017000900001
S0100-204X2017000900695
2-s2.0-85032380174
S0100-204X2017000900695.pdf
url http://dx.doi.org/10.1590/S0100-204X2017000900001
http://hdl.handle.net/11449/175396
identifier_str_mv Pesquisa Agropecuaria Brasileira, v. 52, n. 9, p. 695-706, 2017.
1678-3921
0100-204X
10.1590/S0100-204X2017000900001
S0100-204X2017000900695
2-s2.0-85032380174
S0100-204X2017000900695.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Pesquisa Agropecuaria Brasileira
0,469
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 695-706
application/pdf
dc.source.none.fl_str_mv Scopus
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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