Feeding and energetics of the great scallop, Pecten maximus, through a DEB model

Mise à jour : 20 novembre 2013
0
biologie marine

We developed a full life-cycle bioenergetic model for the great scallop P. maximusrelying on the concepts of the Dynamic Energy Budget (DEB) theory. The covariation method was implemented to estimate the parameters of a standard DEB model. Such models are able to predict various metabolic processes from a food availability marker and temperature in the environment. However, suspension-feeders are likely to feed on various trophic sources, from microalgae cells to detritus. They are also able to sort and select food particles very efficiently, depending on their size, energetic value or quality. The present model includes a mechanistic description of the feeding processes, based on Kooijman’s Synthesizing Unit principle which allow to deal with several food sources. Moreover we tested the hypothesis of a differential selectivity between two potential substrates (phytoplankton cell and the remaining particulate organic matter). Simulations of shell length, daily shell growth rate, dry weight and gonado-somatic index (GSI) variations were realized and compared to field data from a monitoring conducted in the Bay of Brest (Brittany, France) for six years. The model shown its capacity to efficiently reproduce all life history traits of the wild great scallops. Predicted length data were estimated to the nearest millimeter. The fit of simulated weights to observed data was very satisfactory. GSI predictions were also in accordance with observations but improvements are required to better capture the sharp increase of gametogenesis at the beginning of the year. Finally, results bring evidences that P. maximusis actually preferentially feeding on living algae cells rather than on the rest of organic particles.

Notice détaillée

Feeding and energetics of the great scallop, Pecten maximus, through a DEB model
Type de document
Publication scientifique
Auteurs personnes
Lavaud, Romain
Flye Sainte Marie, Jonathan
Jean, Fred
Emmery, Antoine
Strand, Oivind
Kooijman, S. A. L. M.
Éditeur
Elsevier
Date de parution
20 novembre 2013
Langue
Anglais