FN Archimer Export Format
PT J
TI Novel Methodologies for Providing In Situ Data to HAB Early Warning Systems in the European Atlantic Area: The PRIMROSE Experience
BT 
AF 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
AS 1:1;2:2;3:3;4:4;5:5;6:5;7:6;8:6;9:3;10:3;11:7;12:8;13:3;
FF 1:;2:PDG-ODE-DYNECO-PELAGOS;3:;4:;5:;6:;7:;8:;9:;10:;11:PDG-REM-RDT-LDCM;12:;13:;
C1 Centro Oceanográfico de A Coruña, Instituto Español de Oceanografía (IEO, CSIC), A Coruña, Spain
   Ifremer, French Research Institute for Exploitation of the Sea, DYNECO PELAGOS, Plouzané, France
   Scottish Association for Marine Science (SAMS), Scottish Marine Institute, Oban, United Kingdom
   Ocean, Climate and Information Services, Marine Institute, Galway, Ireland
   Marine Environment and Food Safety Services, Marine Institute, Galway, Ireland
   Centro Oceanografico de Vigo, Instituto Español de Oceanografýa (IEO, CSIC), Vigo, Spain
   Ifremer, French Research Institute for Exploitation of the Sea, REM/RDT/DCM, Plouzane´ , France
   Shetland UHI, Shetland, United Kingdom
C2 IEO, SPAIN
   IFREMER, FRANCE
   SAMS SCOTLAND, UK
   MARINE INST GALWAY, IRELAND
   MARINE INST GALWAY, IRELAND
   IEO, SPAIN
   IFREMER, FRANCE
   SHETLAND UHI, UK
SI BREST
SE PDG-ODE-DYNECO-PELAGOS
   PDG-REM-RDT-LDCM
IN WOS Ifremer UPR
   DOAJ
   copubli-europe
IF 3.7
TC 5
UR https://archimer.ifremer.fr/doc/00773/88530/94287.pdf
   https://archimer.ifremer.fr/doc/00773/88530/94288.pdf
LA English
DT Article
DE ;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)
AB 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. 
PY 2022
PD APR
SO Frontiers In Marine Science
SN 2296-7745
PU Frontiers Media SA
VL 9
UT 000795589400001
DI 10.3389/fmars.2022.791329
ID 88530
ER

EF