Novel Methodologies for Providing In Situ Data to HAB Early Warning Systems in the European Atlantic Area: The PRIMROSE Experience

Type Article
Date 2022-04
Language English
Author(s) Ruiz-Villarreal Manuel1, Sourisseau Marc2, Anderson Phil3, Cusack Caroline4, Neira Patricia5, Silke Joe5, Rodriguez Francisco6, Ben-Gigirey Begoña6, Whyte Callum3, Giraudeau-Potel Solene3, Quemener LoicORCID7, Arthur Gregg8, Davidson Keith3
Affiliation(s) 1 : Centro Oceanográfico de A Coruña, Instituto Español de Oceanografía (IEO, CSIC), A Coruña, Spain
2 : Ifremer, French Research Institute for Exploitation of the Sea, DYNECO PELAGOS, Plouzané, France
3 : Scottish Association for Marine Science (SAMS), Scottish Marine Institute, Oban, United Kingdom
4 : Ocean, Climate and Information Services, Marine Institute, Galway, Ireland
5 : Marine Environment and Food Safety Services, Marine Institute, Galway, Ireland
6 : Centro Oceanografico de Vigo, Instituto Español de Oceanografýa (IEO, CSIC), Vigo, Spain
7 : Ifremer, French Research Institute for Exploitation of the Sea, REM/RDT/DCM, Plouzane´ , France
8 : Shetland UHI, Shetland, United Kingdom
Source Frontiers In Marine Science (2296-7745) (Frontiers Media SA), 2022-04 , Vol. 9 , P. 791329 (23p.)
DOI 10.3389/fmars.2022.791329
WOS© Times Cited 1
Keyword(s) harmful algal blooms (HABs), HAB early warning, HAB observing system, autonomous imaging flow cytometry (IFC), drones, remotely piloted aircraft systems (RPAS), unmanned aerial vehicles (UAV), autonomous surface vehicles (ASVs)
Abstract

Harmful algal blooms (HABs) cause harm to human health or hinder sustainable use of the marine environment in Blue Economy sectors. HABs are temporally and spatially variable and hence their mitigation is closely linked to effective early warning. The European Union (EU) Interreg Atlantic Area project “PRIMROSE”, Predicting Risk and Impact of Harmful Events on the Aquaculture Sector, was focused on the joint development of HAB early warning systems in different regions along the European Atlantic Area. Advancement of the existing HAB forecasting systems requires development of forecasting tools, improvements in data flow and processing, but also additional data inputs to assess the distribution of HAB species, especially in areas away from national monitoring stations, usually located near aquaculture sites. In this contribution, we review different novel technologies for acquiring HAB data and report on the experience gained in several novel local data collection exercises performed during the project. Demonstrations include the deployment of autonomous imaging flow cytometry (IFC) sensors near two aquaculture areas: a mooring in the Daoulas estuary in the Bay of Brest and pumping from a bay in the Shetland Islands to an inland IFC; and several drone deployments, both of Unmanned Aerial Vehicles (UAV) and of Autonomous Surface vehicles (ASVs). Additionally, we have reviewed sampling approaches potentially relevant for HAB early warning including protocols for opportunistic water sampling by coastguard agencies. Experiences in the determination of marine biotoxins in non-traditional vectors and how they could complement standard routine HAB monitoring are also considered.

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Ruiz-Villarreal Manuel, Sourisseau Marc, Anderson Phil, Cusack Caroline, Neira Patricia, Silke Joe, Rodriguez Francisco, Ben-Gigirey Begoña, Whyte Callum, Giraudeau-Potel Solene, Quemener Loic, Arthur Gregg, Davidson Keith (2022). Novel Methodologies for Providing In Situ Data to HAB Early Warning Systems in the European Atlantic Area: The PRIMROSE Experience. Frontiers In Marine Science, 9, 791329 (23p.). Publisher's official version : https://doi.org/10.3389/fmars.2022.791329 , Open Access version : https://archimer.ifremer.fr/doc/00773/88530/