Modelling spatio-temporal variability of Mytilus edulis (L.) growth by forcing a dynamic energy budget model with satellite-derived environmental data
|Author(s)||Thomas Yoann1, Mazurie Joseph2, Alunno-Bruscia Marianne1, Bacher Cedric3, Bouget Jean-Francois2, Gohin Francis3, Pouvreau Stephane1, Struski Caroline4|
|Affiliation(s)||1 : IFREMER, Lab Physiol & Ecophysiol Mollusques Marins, F-29840 Argenton En Landunvez, France.
2 : IFREMER, Lab Environm Ressource Morbihan Pays de Loire, F-56740 La Trinite Sur Mer, France.
3 : IFREMER, Dept Dynam Environm Cotier, F-29280 Plouzane, France.
4 : IFREMER, Lab Environm Ressource Finistere Bretagne Nord, F-35402 St Malo, France.
|Source||Journal Of Sea Research (1385-1101) (Elsevier Science Bv), 2011-11 , Vol. 66 , N. 4 , P. 308-317|
|WOS© Times Cited||61|
|Keyword(s)||Mussel, DEB, SeaWifs, Aquaculture, Site Selection, Resource Management|
|Abstract||In order to assess the potential of various marine ecosystems for shellfish aquaculture and to evaluate their carrying capacities, there is a need to clarify the response of exploited species to environmental variations using robust ecophysiological models and available environmental data. For a large range of applications and comparison purposes, a non-specific approach based on ‘generic’ individual growth models offers many advantages. In this context, we simulated the response of blue mussel (Mytilus edulis L.) to the spatio-temporal fluctuations of the environment in Mont Saint-Michel Bay (North Brittany) by forcing a generic growth model based on Dynamic Energy Budgets with satellite-derived environmental data (i.e. temperature and food). After a calibration step based on data from mussel growth surveys, the model was applied over nine years on a large area covering the entire bay. These simulations provide an evaluation of the spatio-temporal variability in mussel growth and also show the ability of the DEB model to integrate satellite-derived data and to predict spatial and temporal growth variability of mussels. Observed seasonal, inter-annual and spatial growth variations are well simulated. The large-scale application highlights the strong link between food and mussel growth. The methodology described in this study may be considered as a suitable approach to account for environmental effects (food and temperature variations) on physiological responses (growth, reproduction) of filter feeders in varying environments. Such physiological responses may then be useful for evaluating the suitability of coastal ecosystems for shellfish aquaculture.Research highlights► We used satellite data (temperature, Chl-a) with a dynamic energy budget model. ► The model correctly describes the observed spatio-temporal variability in mussel growth. ► A large-scale application highlights the strong link between food and mussel growth. ► The methodology developed may be useful for evaluating the suitability of coastal ecosystems for shellfish aquaculture.|