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

Abstract: 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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Main Authors: Bueno,Guilherme Wolff, Bureau,Dominique, Skipper-Horton,James Owen, Roubach,Rodrigo, Mattos,Flávia Tavares de, Bernal,Francisco Ernesto Moreno
Format: Digital revista
Language:English
Published: Embrapa Secretaria de Pesquisa e Desenvolvimento 2017
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000900695
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spelling oai:scielo:S0100-204X20170009006952017-10-23Mathematical modeling for the management of the carrying capacity of aquaculture enterprises in lakes and reservoirsBueno,Guilherme WolffBureau,DominiqueSkipper-Horton,James OwenRoubach,RodrigoMattos,Flávia Tavares deBernal,Francisco Ernesto Moreno hydrodynamic modeling mass balance nutritional bioenergetics solid waste sustainable aquaculture. Abstract: 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.info:eu-repo/semantics/openAccessEmbrapa Secretaria de Pesquisa e DesenvolvimentoPesquisa Agropecuária BrasileiraPesquisa Agropecuária Brasileira v.52 n.9 20172017-09-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000900695en10.1590/s0100-204x2017000900001
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countrycode BR
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region America del Sur
libraryname SciELO
language English
format Digital
author Bueno,Guilherme Wolff
Bureau,Dominique
Skipper-Horton,James Owen
Roubach,Rodrigo
Mattos,Flávia Tavares de
Bernal,Francisco Ernesto Moreno
spellingShingle Bueno,Guilherme Wolff
Bureau,Dominique
Skipper-Horton,James Owen
Roubach,Rodrigo
Mattos,Flávia Tavares de
Bernal,Francisco Ernesto Moreno
Mathematical modeling for the management of the carrying capacity of aquaculture enterprises in lakes and reservoirs
author_facet Bueno,Guilherme Wolff
Bureau,Dominique
Skipper-Horton,James Owen
Roubach,Rodrigo
Mattos,Flávia Tavares de
Bernal,Francisco Ernesto Moreno
author_sort Bueno,Guilherme Wolff
title Mathematical modeling for the management of the carrying capacity of aquaculture enterprises in lakes and reservoirs
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
description Abstract: 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.
publisher Embrapa Secretaria de Pesquisa e Desenvolvimento
publishDate 2017
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2017000900695
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