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Modeling sea cage outputs for data-scarce areas: application to red drum (Sciaenops ocellatus) aquaculture in Mayotte, Indian Ocean
Provedor de dados: 5
Autores: Chary, Killian; Fiandrino, Annie; Coves, Denis; Aubin, Joel; Falguiere, Jean-claude; Callier, Myriam.
Robust and accurate prediction of fish farm waste is a first and crucial step in managing the cause-effect chain that leads to local environmental impacts of aquaculture. Since aquatic production is diversifying with new fish species and extending to new areas for which data can be scarce, it is important to develop parsimonious approaches with fewer data requirements and less scientific complexity. We developed the Farm productIon and Nutrient emiSsions (FINS) model, which simulates fish farm operation and estimates fish biomass, feed inputs, and waste emissions from sea cages using simple modeling approaches and a variety of data sources. We applied FINS to red drum (Sciaenops ocellatus) culture in Mayotte by collecting relevant input data (growth,...
Tipo: Text
Palavras-chave: Aquaculture waste modeling; CNP mass balance; Farming scenarios; Feed digestibility; Individual-based growth model; Red drum.
Ano: 2019
URL: https://archimer.ifremer.fr/doc/00498/61003/64475.pdf