|
|
|
|
|
| Menesguen, Alain; Desmit, Xavier; Duliere, Valerie; Lacroix, Genevieve; Thouvenin, Benedicte; Thieu, Vincent; Dussauze, Morgan. |
| Since 1950, increase in nitrogen (N) and phosphorus (P) river loadings in the North-East Atlantic (NEA) continental seas has induced a deep change in the marine coastal ecosystems, leading to eutrophication symptoms in some areas. In order to recover a Good Ecological Status (GES) in the NEA, as required by European Water Framework Directive (WFD) and Marine Strategy Framework Directive (MSFD), reductions in N- and P-river loadings are necessary but they need to be minimal due to their economic impact on the farming industry. In the frame of the “EMoSEM” European project, we used two marine 3D ecological models (ECO-MARS3D, MIRO&CO) covering the Bay of Biscay, the English Channel and the southern North Sea to estimate the contributions of various... |
| Tipo: Text |
Palavras-chave: Marine eutrophication; Ecosystem modelling; Nutrient reduction scenario; Linear optimization; Good ecological status; EU policies. |
| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00426/53774/54661.pdf |
| |
|
|
| Maar, Marie; Butenschon, Momme; Daewel, Ute; Eggert, Anja; Fan, Wei; Hjollo, Solfrid S.; Hufnagl, Marc; Huret, Martin; Ji, Rubao; Lacroix, Genevieve; Peck, Myron A.; Radtke, Hagen; Sailley, Sevrine; Sinerchia, Matteo; Skogen, Morten D.; Travers-trolet, Morgane; Troost, Tineke A.; Van De Wolfshaar, Karen. |
| The present study describes the responses of summer phytoplankton biomass to changes in top-down forcing (expressed as zooplankton mortality) in three ecosystems (the North Sea, the Baltic Sea and the Nordic Seas) across different 3D ecosystem models. In each of the model set-ups, we applied the same changes in the magnitude of mortality (±20%) of the highest trophic zooplankton level (Z1). Model results showed overall dampened responses of phytoplankton relative to Z1 biomass. Phytoplankton responses varied depending on the food web structure and trophic coupling represented in the models. Hence, a priori model assumptions were found to influence cascades and pathways in model estimates and, thus, become highly relevant when examining ecosystem pressures... |
| Tipo: Text |
Palavras-chave: Plankton functional types; Trophic cascades; Zooplankton mortality; Phytoplankton; Ensemble modelling. |
| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00433/54466/56083.pdf |
| |
|
|
| Hufnagl, Marc; Payne, Mark; Lacroix, Genevieve; Bolle, Loes J.; Daewele, Ute; Dickey-collas, Mark; Gerkema, Theo; Huret, Martin; Janssen, Frank; Kreus, Markus; Paetsch, Johannes; Pohlmann, Thomas; Ruardij, Piet; Schrum, Corinna; Skogen, Morten D.; Tiessen, Meinard C. H.; Petitgas, Pierre; Van Beek, Jan K. L.; Van Der Veer, Henk W.; Callies, Ulrich. |
| Hydrodynamic Ocean Circulation Models and Lagrangian particle tracking models are valuable tools e.g. in coastal ecology to identify the connectivity between offshore spawning and coastal nursery areas of commercially important fish, for risk assessment and more for defining or evaluating marine protected areas. Most studies are based on only one model and do not provide levels of uncertainty. Here this uncertainty was addressed by applying a suite of 11 North Sea models to test what variability can be expected concerning connectivity. Different notional test cases were calculated related to three important and well-studied North Sea fish species: herring (Clupea harengus), and the flatfishes sole (Solea solea) and plaice (Pleuronectes platessa). For sole... |
| Tipo: Text |
Palavras-chave: Ocean circulation; Lagrangian approach; Variability; Marine protected areas; Renewable energy; Wind park; Model intercomparison; Ensemble. |
| Ano: 2017 |
URL: https://archimer.ifremer.fr/doc/00385/49660/50198.pdf |
| |
|
|
| Lenhart, Hermann-j.; Mills, David K.; Baretta-bekker, Hanneke; Van Leeuwen, Sonja M.; Van Der Molen, Johan; Baretta, Job W.; Blaas, Meinte; Desmit, Xavier; Kuehn, Wilfried; Lacroix, Genevieve; Los, Hans J.; Menesguen, Alain; Neves, Ramiro; Proctor, Roger; Ruardij, Piet; Skogen, Morten D.; Vanhoutte Brunier, Alice; Villars, Monique T.; Wakelin, Sarah L.. |
| In this paper the results from a workshop of the OSPAR Intersessional Correspondence Group on Eutrophication Modelling (ICG-EMO) held in Lowestoft in 2007 are presented. The aim of the workshop was to compare the results of a number of North Sea ecosystem models under different reduction scenarios. In order to achieve comparability of model results the participants were requested to use a minimum spin-up time, common boundary conditions which were derived from a wider-domain model, and a set of common forcing data, with special emphasis on a complete coverage of river nutrient loads. Based on the OSPAR requirements river loads were derived, taking into account the reductions already achieved between 1985 and 2002 for each country. First, for the year 2002,... |
| Tipo: Text |
Palavras-chave: Eutrophication; Ecosystem modeling; OSPAR Comprehensive Procedure; Eutrophication assessment; North Sea; River nutrient loads; Reduction scenarios. |
| Ano: 2010 |
URL: http://archimer.ifremer.fr/doc/00003/11391/8054.pdf |
| |
|
|
| Menesguen, Alain; Lacroix, Genevieve. |
| In the frame of a national, joint scientific appraisal, 45 scientific French-speaking experts have been mandated in 2015–2016 by the French ministries of Environment and Agriculture to perform a global review of scientific literature dealing with the eutrophication phenomenon, in freshwater as well as in marine waters. This paper summarizes the main results of this review restricted to a sub-domain, the modelling approach of the marine eutrophication. After recalling the different aims pursued, an overview is given on the historical time course of this modelling effort, its world distribution and the various tools used. Then, the main results obtained are examined, highlighting the specific strengths and weaknesses of the present models. Needs for future... |
| Tipo: Text |
Palavras-chave: Marine eutrophication; Biogeochemical models; Deterministic versus statistical; Nutrient reduction scenarios; Land-sea coupling; Climate change. |
| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00439/55066/56546.pdf |
| |
|
|
|
