Modeling sea cage outputs for data-scarce areas: application to red drum (Sciaenops ocellatus) aquaculture in Mayotte, Indian Ocean
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 imp...
Published in: | Aquaculture International |
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Online Access: | https://hal.science/hal-02390182 https://doi.org/10.1007/s10499-019-00351-z |
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ftunivnantes:oai:HAL:hal-02390182v1 2023-05-15T18:06:03+02:00 Modeling sea cage outputs for data-scarce areas: application to red drum (Sciaenops ocellatus) aquaculture in Mayotte, Indian Ocean Chary, Killian Fiandrino, Annie Coves, Denis Aubin, Joël Falguiere, Jean-Claude Callier, Myriam D. MARine Biodiversity Exploitation and Conservation (UMR MARBEC) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) Institut de Recherche pour le Développement (IRD Bolivie ) Centre National de la Recherche Scientifique (CNRS) Sol Agro et hydrosystème Spatialisation (SAS) Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST Biodiversité et Environnement de la Martinique (BIODIENV) Natural Marine Park of Mayotte; Mayotte County Council 2019 https://hal.science/hal-02390182 https://doi.org/10.1007/s10499-019-00351-z en eng HAL CCSD Springer Verlag info:eu-repo/semantics/altIdentifier/doi/10.1007/s10499-019-00351-z hal-02390182 https://hal.science/hal-02390182 doi:10.1007/s10499-019-00351-z PRODINRA: 481016 WOS: 000466854000001 ISSN: 0967-6120 EISSN: 1573-143X Aquaculture International https://hal.science/hal-02390182 Aquaculture International, 2019, 27 (3), pp.625-646. ⟨10.1007/s10499-019-00351-z⟩ Aquaculture waste modeling CNP mass balance Farming scenarios Feed digestibility Individual-based growth model Red drum [SDV]Life Sciences [q-bio] info:eu-repo/semantics/article Journal articles 2019 ftunivnantes https://doi.org/10.1007/s10499-019-00351-z 2023-03-01T04:05:48Z 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, digestibility) from experimental trials. Three explorative farming scenariossmall, medium, and largewere defined from field survey data to examine and compare emissions of a range of potential commercial culture conditions and production scales (23, 299, and 2079tyear(-1), respectively). Comparison of the three scenarios showed that waste emissions per ton of fish harvested during routine operations, and thus environmental impacts, were higher for longer culture cycles (medium farm) because of lower feed conversion efficiency. The FINS model is a simple alternative tool to assess and compare environmental impacts of different farming systems and practices for new aquaculture species and regions. It provides important drivers to assess local environmental impacts of fish farms and can therefore facilitate the process of licensing new farming systems for decision-makers. Article in Journal/Newspaper Red drum Sciaenops ocellatus Université de Nantes: HAL-UNIV-NANTES Indian Aquaculture International 27 3 625 646 |
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Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
Aquaculture waste modeling CNP mass balance Farming scenarios Feed digestibility Individual-based growth model Red drum [SDV]Life Sciences [q-bio] |
spellingShingle |
Aquaculture waste modeling CNP mass balance Farming scenarios Feed digestibility Individual-based growth model Red drum [SDV]Life Sciences [q-bio] Chary, Killian Fiandrino, Annie Coves, Denis Aubin, Joël Falguiere, Jean-Claude Callier, Myriam D. Modeling sea cage outputs for data-scarce areas: application to red drum (Sciaenops ocellatus) aquaculture in Mayotte, Indian Ocean |
topic_facet |
Aquaculture waste modeling CNP mass balance Farming scenarios Feed digestibility Individual-based growth model Red drum [SDV]Life Sciences [q-bio] |
description |
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, digestibility) from experimental trials. Three explorative farming scenariossmall, medium, and largewere defined from field survey data to examine and compare emissions of a range of potential commercial culture conditions and production scales (23, 299, and 2079tyear(-1), respectively). Comparison of the three scenarios showed that waste emissions per ton of fish harvested during routine operations, and thus environmental impacts, were higher for longer culture cycles (medium farm) because of lower feed conversion efficiency. The FINS model is a simple alternative tool to assess and compare environmental impacts of different farming systems and practices for new aquaculture species and regions. It provides important drivers to assess local environmental impacts of fish farms and can therefore facilitate the process of licensing new farming systems for decision-makers. |
author2 |
MARine Biodiversity Exploitation and Conservation (UMR MARBEC) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) Institut de Recherche pour le Développement (IRD Bolivie ) Centre National de la Recherche Scientifique (CNRS) Sol Agro et hydrosystème Spatialisation (SAS) Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST Biodiversité et Environnement de la Martinique (BIODIENV) Natural Marine Park of Mayotte; Mayotte County Council |
format |
Article in Journal/Newspaper |
author |
Chary, Killian Fiandrino, Annie Coves, Denis Aubin, Joël Falguiere, Jean-Claude Callier, Myriam D. |
author_facet |
Chary, Killian Fiandrino, Annie Coves, Denis Aubin, Joël Falguiere, Jean-Claude Callier, Myriam D. |
author_sort |
Chary, Killian |
title |
Modeling sea cage outputs for data-scarce areas: application to red drum (Sciaenops ocellatus) aquaculture in Mayotte, Indian Ocean |
title_short |
Modeling sea cage outputs for data-scarce areas: application to red drum (Sciaenops ocellatus) aquaculture in Mayotte, Indian Ocean |
title_full |
Modeling sea cage outputs for data-scarce areas: application to red drum (Sciaenops ocellatus) aquaculture in Mayotte, Indian Ocean |
title_fullStr |
Modeling sea cage outputs for data-scarce areas: application to red drum (Sciaenops ocellatus) aquaculture in Mayotte, Indian Ocean |
title_full_unstemmed |
Modeling sea cage outputs for data-scarce areas: application to red drum (Sciaenops ocellatus) aquaculture in Mayotte, Indian Ocean |
title_sort |
modeling sea cage outputs for data-scarce areas: application to red drum (sciaenops ocellatus) aquaculture in mayotte, indian ocean |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.science/hal-02390182 https://doi.org/10.1007/s10499-019-00351-z |
geographic |
Indian |
geographic_facet |
Indian |
genre |
Red drum Sciaenops ocellatus |
genre_facet |
Red drum Sciaenops ocellatus |
op_source |
ISSN: 0967-6120 EISSN: 1573-143X Aquaculture International https://hal.science/hal-02390182 Aquaculture International, 2019, 27 (3), pp.625-646. ⟨10.1007/s10499-019-00351-z⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1007/s10499-019-00351-z hal-02390182 https://hal.science/hal-02390182 doi:10.1007/s10499-019-00351-z PRODINRA: 481016 WOS: 000466854000001 |
op_doi |
https://doi.org/10.1007/s10499-019-00351-z |
container_title |
Aquaculture International |
container_volume |
27 |
container_issue |
3 |
container_start_page |
625 |
op_container_end_page |
646 |
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1766177622449979392 |