Articles | Volume 16, issue 1
https://doi.org/10.5194/os-16-235-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-16-235-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Marine monitoring in Europe: is it adequate to address environmental threats and pressures?
Suzanne J. Painting
CORRESPONDING AUTHOR
Centre for Environment, Fisheries and Aquaculture Science (CEFAS),
Lowestoft, NR33 0HT, UK
Kate A. Collingridge
Centre for Environment, Fisheries and Aquaculture Science (CEFAS),
Lowestoft, NR33 0HT, UK
Dominique Durand
COVARTEC, Bergen, 5141, Norway
Antoine Grémare
Université de Bordeaux, EPOC, UMR 5805, 33615 Pessac, France
Veronique Créach
Centre for Environment, Fisheries and Aquaculture Science (CEFAS),
Lowestoft, NR33 0HT, UK
Christos Arvanitidis
Hellenic Centre for Marine Research, Heraklion, 71500, Greece
Guillaume Bernard
CNRS, EPOC, UMR 5805, 33615 Pessac, France
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- Different flavours of oxygen help quantify seasonal variations of the biological carbon pump in the Celtic Sea I. Seguro et al. 10.3389/fmars.2023.1037470
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- Using Optical Water-Type Classification in Data-Poor Water Quality Assessment: A Case Study in the Torres Strait C. Petus et al. 10.3390/rs14092212
- Seamless Integration of the Coastal Ocean in Global Marine Carbon Cycle Modeling M. Mathis et al. 10.1029/2021MS002789
- Are Differing Viewpoints Amongst Key Actors Influencing Implementation of Key Eu Marine Environmental Policies? Case Of Strictly Protected Areas S. Gorjanc 10.55268/CM.2023.53.122
- Tracking ongoing transboundary marine distributional range shifts in the digital era V. Sbragaglia et al. 10.3354/meps14309
- A Citizen Science Unmanned Aerial System Data Acquisition Protocol and Deep Learning Techniques for the Automatic Detection and Mapping of Marine Litter Concentrations in the Coastal Zone A. Papakonstantinou et al. 10.3390/drones5010006
- Assessing the Image Concept Drift at the OBSEA Coastal Underwater Cabled Observatory E. Ottaviani et al. 10.3389/fmars.2022.840088
- Sampling native and non-native mobile epifauna with baited traps and habitat collectors – Port of Gdynia case study (southern Baltic Sea, Poland) M. Normant-Saremba et al. 10.1515/ohs-2020-0028
- Marine monitoring in transition: On the verge of technological revolution? S. Korpinen et al. 10.3389/fmars.2022.1066769
- Local and remote physical processes driving variability of the planktonic system in the Juan Fernández Archipelago: A multidisciplinary framework providing conservation insights C. Parada et al. 10.1002/aqc.3499
- Anthropogenic litter in a Mediterranean coastal wetland: A heterogeneous spatial pattern of historical deposition C. Battisti et al. 10.1016/j.marpolbul.2024.116163
- Fouling communities and non-native species within five ports along the Bristol Channel, South Wales, UK S. Holmes & R. Callaway 10.1016/j.ecss.2021.107295
- Research on Marine Target Detection and Recognition Based on YOLO Algorithm H. Zhang et al. 10.2478/amns-2024-2304
- Machine learning applied to big data from marine cabled observatories: A case study of sablefish monitoring in the NE Pacific F. Bonofiglio et al. 10.3389/fmars.2022.842946
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Short summary
We carried out a literature review and an opinion poll of the JERICO-NEXT community to identify the main environmental threats in European coastal areas and gaps in monitoring. The need for improved monitoring was highlighted, e.g. through improved design and monitoring effort and better links with new technologies. The findings underpin the JERICO-NEXT science strategy to integrate linkages between physical, chemical, and biological parameters to address scientific and policy needs.
We carried out a literature review and an opinion poll of the JERICO-NEXT community to identify...