Effects of Nutrient Management Scenarios on Marine Food Webs: A Pan-European Assessment in Support of the Marine Strategy Framework Directive

Type Article
Date 2021-03
Language English
Author(s) Piroddi Chiara1, Akoglu Ekin2, Andonegi Eider3, Bentley Jacob W.4, 5, Celić Igor6, Coll Marta7, Dimarchopoulou Donna8, 9, Friedland René1, de Mutsert Kim10, 11, Girardin RaphaelORCID12, Garcia-Gorriz Elisa1, Grizzetti Bruna1, Hernvann P.-Y.13, 14, 15, Heymans Johanna J.16, Müller-Karulis Bärbel17, Libralato Simone6, Lynam Christopher P.18, Macias Diego1, 19, Miladinova Svetla1, Moullec Fabien20, Palialexis Andreas1, Parn Ove1, Serpetti Natalia6, 21, Solidoro Cosimo6, Steenbeek Jeroen22, Stips Adolf1, Tomczak Maciej T.17, Travers-Trolet MorganeORCID23, Tsikliras Athanassios C.8
Affiliation(s) 1 : European Commission, Joint Research Centre, Ispra, Italy
2 : Institute of Marine Sciences, Middle East Technical University, Erdemli, Turkey
3 : AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Sukarrieta, Spain
4 : UN Environment World Conservation Monitoring Centre, Cambridge, United Kingdom
5 : School of Anthropology and Conservation, Durrell Institute of Conservation and Ecology (DICE), University of Kent, Canterbury, United Kingdom
6 : National Institute of Oceanography and Applied Geophysics—OGS, Trieste, Italy
7 : Institute of Marine Science (ICM-CSIC), Barcelona, Spain
8 : Laboratory of Ichthyology, School of Biology, Aristotle University of Thessaloniki, Thessaloniki, Greece
9 : Department of Fisheries, Animal and Veterinary Sciences, College of the Environment and Life Sciences, University of Rhode Island, Kingston, RI, United States
10 : Department of Environmental Science & Policy, George Mason University, Fairfax, VA, United States
11 : Division of Coastal Sciences, School of Ocean Science and Engineering, The University of Southern Mississippi, Ocean Springs, MS, United States
12 : Ifremer, Unité de Halieutique Manche Mer du Nord (HMMN), Boulogne-sur-mer, France
13 : Ifremer, Unité de Sciences et Technologies Halieutiques (STH), Lorient, France
14 : ESE, Ecology and Ecosystem Health, Institut Agro, INRAE, Rennes, France
15 : Institute of Marine Sciences, University of California, Santa Cruz, Santa Cruz, CA, United States
16 : European Marine Board, Oostende, Belgium
17 : Baltic Sea Centre, Stockholm University, Stockholm, Sweden
18 : Lowestoft Laboratory, Centre for Environment, Fisheries and Aquaculture Science (Cefas), Lowestoft, United Kingdom
19 : Instituto de Ciencias Marinas de Andalucía, Consejo Superior de Investigaciones Científicas, Avenida República Saharaui, Puerto Real, Spain
20 : Center for Earth System Research and Sustainability (CEN), Institute for Marine Ecosystem and Fisheries Science (IFM), University of Hamburg, Hamburg, Germany
21 : Scottish Association for Marine Science, Scottish Marine Institute, Oban, United Kingdom
22 : Ecopath International Initiative (EII) Research Association, Barcelona, Spain
23 : Ifremer, Unité de Ecologie et Modèles pour l’Halieutique (EMH), Nantes, France
Source Frontiers In Marine Science (2296-7745) (Frontiers Media SA), 2021-03 , Vol. 8 , P. 596797 (18p.)
DOI 10.3389/fmars.2021.596797
WOS© Times Cited 17
Keyword(s) ecological modeling, hydrological modeling, hydrodynamic and biogeochemical modeling, higher trophic level modeling, ecological indicators, criteria, policy support

Eutrophication is one of the most important anthropogenic pressures impacting coastal seas. In Europe, several legislations and management measures have been implemented to halt nutrient overloading in marine ecosystems. This study evaluates the impact of freshwater nutrient control measures on higher trophic levels (HTL) in European marine ecosystems following descriptors and criteria as defined by the Marine Strategy Framework Directive (MSFD). We used a novel pan-European marine modeling ensemble of fourteen HTL models, covering almost all the EU seas, under two nutrient management scenarios. Results from our projections suggest that the proposed nutrient reduction measures may not have a significant impact on the structure and function of European marine ecosystems. Among the assessed criteria, the spawning stock biomass of commercially important fish stocks and the biomass of small pelagic fishes would be the most impacted, albeit with values lower than 2.5%. For the other criteria/indicators, such as species diversity and trophic level indicators, the impact was lower. The Black Sea and the North-East Atlantic were the most negatively impacted regions, while the Baltic Sea was the only region showing signs of improvement. Coastal and shelf areas were more sensitive to environmental changes than large regional and sub-regional ecosystems that also include open seas. This is the first pan-European multi-model comparison study used to assess the impacts of land-based measures on marine and coastal European ecosystems through a set of selected ecological indicators. Since anthropogenic pressures are expanding apace in the marine environment and policy makers need to use rapid and effective policy measures for fast-changing environments, this modeling framework is an essential asset in supporting and guiding EU policy needs and decisions.

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Data_Sheet_1_Effects of Nutrient Management Scenarios on Marine... 7 MB Open access
Table_1_Effects of Nutrient Management Scenarios on Marine Food ... 19 KB Open access
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Piroddi Chiara, Akoglu Ekin, Andonegi Eider, Bentley Jacob W., Celić Igor, Coll Marta, Dimarchopoulou Donna, Friedland René, de Mutsert Kim, Girardin Raphael, Garcia-Gorriz Elisa, Grizzetti Bruna, Hernvann P.-Y., Heymans Johanna J., Müller-Karulis Bärbel, Libralato Simone, Lynam Christopher P., Macias Diego, Miladinova Svetla, Moullec Fabien, Palialexis Andreas, Parn Ove, Serpetti Natalia, Solidoro Cosimo, Steenbeek Jeroen, Stips Adolf, Tomczak Maciej T., Travers-Trolet Morgane, Tsikliras Athanassios C. (2021). Effects of Nutrient Management Scenarios on Marine Food Webs: A Pan-European Assessment in Support of the Marine Strategy Framework Directive. Frontiers In Marine Science, 8, 596797 (18p.). Publisher's official version : https://doi.org/10.3389/fmars.2021.596797 , Open Access version : https://archimer.ifremer.fr/doc/00685/79746/