Current Status of Forecasting Toxic Harmful Algae for the North-East Atlantic Shellfish Aquaculture Industry
Across the European Atlantic Arc (Scotland, Ireland, England, France, Spain, and Portugal) the shellfish aquaculture industry is dominated by the production of mussels, followed by oysters and clams. A range of spatially and temporally variable harmful algal bloom species (HABs) impact the industry...
Published in: | Frontiers in Marine Science |
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Format: | Article in Journal/Newspaper |
Language: | English |
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2021
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Online Access: | https://archimer.ifremer.fr/doc/00698/80981/85013.pdf https://archimer.ifremer.fr/doc/00698/80981/85014.docx https://doi.org/10.3389/fmars.2021.666583 https://archimer.ifremer.fr/doc/00698/80981/ |
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ftarchimer:oai:archimer.ifremer.fr:80981 2023-05-15T17:38:43+02:00 Current Status of Forecasting Toxic Harmful Algae for the North-East Atlantic Shellfish Aquaculture Industry Fernandes-salvador, Jose A Davidson, Keith Sourisseau, Marc Revilla, Marta Schmidt, Wiebke Clarke, Dave Miller, Peter I Arce, Paola Fernandez, Raul Maman, Luz Silva, Alexandra Whyte, Callum Mateo, Maria Neira, Patricia Mateus, Marcos Ruiz-villarreal, Manuel Ferrera, Luis Silke, Joe 2021-06 application/pdf https://archimer.ifremer.fr/doc/00698/80981/85013.pdf https://archimer.ifremer.fr/doc/00698/80981/85014.docx https://doi.org/10.3389/fmars.2021.666583 https://archimer.ifremer.fr/doc/00698/80981/ eng eng Frontiers Media info:eu-repo/grantAgreement/EC/H2020/869300/EU//FutureMARES https://archimer.ifremer.fr/doc/00698/80981/85013.pdf https://archimer.ifremer.fr/doc/00698/80981/85014.docx doi:10.3389/fmars.2021.666583 https://archimer.ifremer.fr/doc/00698/80981/ info:eu-repo/semantics/openAccess restricted use Frontiers In Marine Science (2296-7745) (Frontiers Media), 2021-06 , Vol. 8 , P. 666583 (24p.) modeling machine learning toxins phytoplankton food production short-term regulation early warning systems text Publication info:eu-repo/semantics/article 2021 ftarchimer https://doi.org/10.3389/fmars.2021.666583 2021-09-23T20:37:50Z Across the European Atlantic Arc (Scotland, Ireland, England, France, Spain, and Portugal) the shellfish aquaculture industry is dominated by the production of mussels, followed by oysters and clams. A range of spatially and temporally variable harmful algal bloom species (HABs) impact the industry through their production of biotoxins that accumulate and concentrate in shellfish flesh, which negatively impact the health of consumers through consumption. Regulatory monitoring of harmful cells in the water column and toxin concentrations within shellfish flesh are currently the main means of warning of elevated toxin events in bivalves, with harvesting being suspended when toxicity is elevated above EU regulatory limits. However, while such an approach is generally successful in safeguarding human health, it does not provide the early warning that is needed to support business planning and harvesting by the aquaculture industry. To address this issue, a proliferation of web portals have been developed to make monitoring data widely accessible. These systems are now transitioning from “nowcasts” to operational Early Warning Systems (EWS) to better mitigate against HAB-generated harmful effects. To achieve this, EWS are incorporating a range of environmental data parameters and developing varied forecasting approaches. For example, EWS are increasingly utilizing satellite data and the results of oceanographic modeling to identify and predict the behavior of HABs. Modeling demonstrates that some HABs can be advected significant distances before impacting aquaculture sites. Traffic light indices are being developed to provide users with an easily interpreted assessment of HAB and biotoxin risk, and expert interpretation of these multiple data streams is being used to assess risk into the future. Proof-of-concept EWS are being developed to combine model information with in situ data, in some cases using machine learning-based approaches. This article: (1) reviews HAB and biotoxin issues relevant to shellfish aquaculture in the European Atlantic Arc (Scotland, Ireland, England, France, Spain, and Portugal; (2) evaluates the current status of HAB events and EWS in the region; and (3) evaluates the potential of further improving these EWS though multi-disciplinary approaches combining heterogeneous sources of information. Article in Journal/Newspaper North East Atlantic Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) Frontiers in Marine Science 8 |
institution |
Open Polar |
collection |
Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) |
op_collection_id |
ftarchimer |
language |
English |
topic |
modeling machine learning toxins phytoplankton food production short-term regulation early warning systems |
spellingShingle |
modeling machine learning toxins phytoplankton food production short-term regulation early warning systems Fernandes-salvador, Jose A Davidson, Keith Sourisseau, Marc Revilla, Marta Schmidt, Wiebke Clarke, Dave Miller, Peter I Arce, Paola Fernandez, Raul Maman, Luz Silva, Alexandra Whyte, Callum Mateo, Maria Neira, Patricia Mateus, Marcos Ruiz-villarreal, Manuel Ferrera, Luis Silke, Joe Current Status of Forecasting Toxic Harmful Algae for the North-East Atlantic Shellfish Aquaculture Industry |
topic_facet |
modeling machine learning toxins phytoplankton food production short-term regulation early warning systems |
description |
Across the European Atlantic Arc (Scotland, Ireland, England, France, Spain, and Portugal) the shellfish aquaculture industry is dominated by the production of mussels, followed by oysters and clams. A range of spatially and temporally variable harmful algal bloom species (HABs) impact the industry through their production of biotoxins that accumulate and concentrate in shellfish flesh, which negatively impact the health of consumers through consumption. Regulatory monitoring of harmful cells in the water column and toxin concentrations within shellfish flesh are currently the main means of warning of elevated toxin events in bivalves, with harvesting being suspended when toxicity is elevated above EU regulatory limits. However, while such an approach is generally successful in safeguarding human health, it does not provide the early warning that is needed to support business planning and harvesting by the aquaculture industry. To address this issue, a proliferation of web portals have been developed to make monitoring data widely accessible. These systems are now transitioning from “nowcasts” to operational Early Warning Systems (EWS) to better mitigate against HAB-generated harmful effects. To achieve this, EWS are incorporating a range of environmental data parameters and developing varied forecasting approaches. For example, EWS are increasingly utilizing satellite data and the results of oceanographic modeling to identify and predict the behavior of HABs. Modeling demonstrates that some HABs can be advected significant distances before impacting aquaculture sites. Traffic light indices are being developed to provide users with an easily interpreted assessment of HAB and biotoxin risk, and expert interpretation of these multiple data streams is being used to assess risk into the future. Proof-of-concept EWS are being developed to combine model information with in situ data, in some cases using machine learning-based approaches. This article: (1) reviews HAB and biotoxin issues relevant to shellfish aquaculture in the European Atlantic Arc (Scotland, Ireland, England, France, Spain, and Portugal; (2) evaluates the current status of HAB events and EWS in the region; and (3) evaluates the potential of further improving these EWS though multi-disciplinary approaches combining heterogeneous sources of information. |
format |
Article in Journal/Newspaper |
author |
Fernandes-salvador, Jose A Davidson, Keith Sourisseau, Marc Revilla, Marta Schmidt, Wiebke Clarke, Dave Miller, Peter I Arce, Paola Fernandez, Raul Maman, Luz Silva, Alexandra Whyte, Callum Mateo, Maria Neira, Patricia Mateus, Marcos Ruiz-villarreal, Manuel Ferrera, Luis Silke, Joe |
author_facet |
Fernandes-salvador, Jose A Davidson, Keith Sourisseau, Marc Revilla, Marta Schmidt, Wiebke Clarke, Dave Miller, Peter I Arce, Paola Fernandez, Raul Maman, Luz Silva, Alexandra Whyte, Callum Mateo, Maria Neira, Patricia Mateus, Marcos Ruiz-villarreal, Manuel Ferrera, Luis Silke, Joe |
author_sort |
Fernandes-salvador, Jose A |
title |
Current Status of Forecasting Toxic Harmful Algae for the North-East Atlantic Shellfish Aquaculture Industry |
title_short |
Current Status of Forecasting Toxic Harmful Algae for the North-East Atlantic Shellfish Aquaculture Industry |
title_full |
Current Status of Forecasting Toxic Harmful Algae for the North-East Atlantic Shellfish Aquaculture Industry |
title_fullStr |
Current Status of Forecasting Toxic Harmful Algae for the North-East Atlantic Shellfish Aquaculture Industry |
title_full_unstemmed |
Current Status of Forecasting Toxic Harmful Algae for the North-East Atlantic Shellfish Aquaculture Industry |
title_sort |
current status of forecasting toxic harmful algae for the north-east atlantic shellfish aquaculture industry |
publisher |
Frontiers Media |
publishDate |
2021 |
url |
https://archimer.ifremer.fr/doc/00698/80981/85013.pdf https://archimer.ifremer.fr/doc/00698/80981/85014.docx https://doi.org/10.3389/fmars.2021.666583 https://archimer.ifremer.fr/doc/00698/80981/ |
genre |
North East Atlantic |
genre_facet |
North East Atlantic |
op_source |
Frontiers In Marine Science (2296-7745) (Frontiers Media), 2021-06 , Vol. 8 , P. 666583 (24p.) |
op_relation |
info:eu-repo/grantAgreement/EC/H2020/869300/EU//FutureMARES https://archimer.ifremer.fr/doc/00698/80981/85013.pdf https://archimer.ifremer.fr/doc/00698/80981/85014.docx doi:10.3389/fmars.2021.666583 https://archimer.ifremer.fr/doc/00698/80981/ |
op_rights |
info:eu-repo/semantics/openAccess restricted use |
op_doi |
https://doi.org/10.3389/fmars.2021.666583 |
container_title |
Frontiers in Marine Science |
container_volume |
8 |
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1766139269574819840 |