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|1-D model of the marine ecosystem of the Calvi Bay|
|Lenartz, F.; Gobert, S.; Grégoire, M.; Hecq, J.H.; Lepoint, G.; Vandenbulcke, L.; Beckers, J.-M. (2007). 1-D model of the marine ecosystem of the Calvi Bay, in: Mees, J. et al. (Ed.) (2007). VLIZ Young Scientists' Day, Brugge, Belgium 2 March 2007: book of abstracts. VLIZ Special Publication, 39: pp. 40|
|In: Mees, J.; Seys, J. (Ed.) (2007). VLIZ Young Scientists' Day, Brugge, Belgium 2 March 2007: book of abstracts. VLIZ Special Publication, 39. Vlaams Instituut voor de Zee (VLIZ): Oostende. IX, 82 pp., meer|
|In: VLIZ Special Publication. Vlaams Instituut voor de Zee (VLIZ): Oostende. ISSN 1377-0950, meer|
Ecosystemen; Modellering; MED, France, Corsica, Calvi Bay [gazetteer]; Marien
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The ecological and economic values of the oceans are a matter of concern. The understanding of the anthropogenic disturbances on coastal marine ecosystems generally require important investments, whereas local authorities are interested in fast answers to specific questions about their particular environment, which is obviously in contradiction with the time needed to obtain an exhaustive data set and with the elevated costs associated with these analyses. For these reasons, the setting up of a sustainable management procedure is very critical. In this framework, the RACE (Rapid Assessment of the marine Coastal Environment) project aims at developing diagnostic tools to detect and predict changes in the coastal ecosystems threatened by human activities, by means of an interdisciplinary approach taking benefit of the numerous data collected for decades at the STARESO observatory in Calvi (Corsica) and the modeling tools developed at the University of Liège. As a first step of this vast project, we have developed a 1-D ecosystem model that aims to reproduce the seasonal cycles of the plankton and of an endemic seagrass Posidonia oceanica. In addition to its high primary production, this macrophyte performs many functions in marine areas, provision of food to the coastal food web and of oxygen to the water column and the sediment, atmospheric carbon sequestration, organic carbon export, sediment stabilization, shoreline protection, habitat for microbes and (in)vertebrates, often endangered or commercially important, trapping and cycling of nutrients, etc. and is considered as a good indicator for bio-monitoring, because of its wide distribution, reasonable size, sedentary habit, easy collection and sensitivity to modifications of the littoral zone. We here present the results of our model simulations and briefly discuss them. Model validation has been performed, allowing us to now test scenarios.