Mathematical modeling for the management of the carrying capacity of aquaculture enterprises in lakes and reservoirs
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
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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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 |
|
_version_ |
1808129591136485376 |