FN Archimer Export Format
PT J
TI A single bio-energetics growth and reproduction model for the oyster Crassostrea gigas in six Atlantic ecosystems
BT 
AF ALUNNO-BRUSCIA, Marianne
   BOURLES, Yves
   MAURER, Daniele
   ROBERT, Stephane
   MAZURIE, Joseph
   GANGNERY, Aline
   GOULLETQUER, Philippe
   POUVREAU, Stephane
AS 1:1;2:1;3:2;4:3;5:4;6:5;7:6;8:1;
FF 1:PDG-RBE-PFOM-PI;2:PDG-DOP-DCB-PFOM-PI;3:PDG-ODE-LER-LERAR;4:PDG-ODE-LER-LERPC;5:PDG-ODE-LER-LERMPL;6:PDG-ODE-LER-LERN;7:PDG-DS;8:PDG-RBE-PFOM-PI;
C1 Ifremer, RBE PFOM PI, F-29840 Argenton En Landunvez, France.
   Ifremer, LERA, F-33120 Arcachon, France.
   Ifremer, LERPC, F-17390 La Tremblade, France.
   Ifremer, LERMPL, F-56470 La Trinite Sur Mer, France.
   Ifremer, LERN, F-14520 Port En Bessin, France.
   Ifremer, Nantes, F-44311 Nantes 03, France.
C2 IFREMER, FRANCE
   IFREMER, FRANCE
   IFREMER, FRANCE
   IFREMER, FRANCE
   IFREMER, FRANCE
   IFREMER, FRANCE
SI ARGENTON
   ARCACHON
   LA TREMBLADE
   LA TRINITE
   PORT-EN-BESSIN
   NANTES
SE PDG-RBE-PFOM-PI
   PDG-DOP-DCB-PFOM-PI
   PDG-ODE-LER-LERAR
   PDG-ODE-LER-LERPC
   PDG-ODE-LER-LERMPL
   PDG-ODE-LER-LERN
   PDG-DS
IN WOS Ifremer jusqu'en 2018
IF 2.598
TC 47
UR https://archimer.ifremer.fr/doc/00043/15403/12762.pdf
LA English
DT Article
DE ;DEB Theory;Modelling;Bivalves;Crassostrea Gigas;Phytoplankton;Coastal Environment
AB Many studies based on bioenergetics growth models have investigated the effects of environmental factors on oyster (Crassostrea gigas) growth and physiology. However, most of these models are site-specific and cannot be applied to other culture sites without the re-estimation of parameters or re-formulation of some processes. We aimed to develop a generic growth model suitable for application in contrasting environments, with a constant set of parameters. We tested the oyster-DEB model (Bourlès et al. 2009) for the stimulation of C. gigas growth in different cohorts (spats and adults) at major shellfish culture sites in France, in several years: Arcachon (1993–1994); Marennes-Oléron (2007); Quiberon (1999, 2000, 2001); Rade de Brest (2008); Baie du Mont-Saint-Michel (2003); Baie-des-Veys (2002). These different ecosystems offer a wide range of values for the two forcing variables of the model: water temperature (range: 6-24 °C) and phytoplankton concentration (annual average: 110–700 x 103 cell.l-1). The validation data (dry flesh mass of C. gigas) were obtained from various growth surveys carried out by IFREMER. The oyster-DEB model simulated the oyster growth dynamics of both spat and adult stages of C. gigas accurately over time at the various culture sites. The model captures: i) the active spring growth; ii) the timing and amplitude of spawning events; and iii) the lean periods (i.e. loss of dry flesh mass) in autumn and winter. The half-saturation coefficient Xk is the only model parameter that varied between sites and years. This environment-specific coefficient reflects variability in the food of the oysters: quantitative and qualitative effects of the inorganic material and of the phytoplankton species on the feeding response of C. gigas. With a single set of parameters (other than for Xk), this is thus the first bio-energetic growth model for C. gigas robust enough and of a sufficiently generic nature for the accurate simulation of oyster growth in different Atlantic ecosystems.  Highlights  ► A generic growth model of the oyster Crassostrea gigas that is suitable for a generic application, i.e. with a constant set of parameters, in contrasting Atlantic environments and for different cohorts (spats and adults) was developed. ► The resulting oyster-DEB model simulated the oyster growth dynamics of both spat and adult stages of C. gigas accurately over time at the various culture sites. The model captures: i) the active spring growth; ii) the timing and amplitude of spawning events; and iii) the loss of dry flesh mass in autumn and winter. ► The half-saturation coefficient Xk is the only model parameter that varied between sites and years. This environment-specific coefficient reflects variability in the food of the oysters.
PY 2011
PD NOV
SO Journal Of Sea Research
SN 1385-1101
PU Elsevier Science Bv
VL 66
IS 4
UT 000298910200009
BP 340
EP 348
DI 10.1016/j.seares.2011.07.008
ID 15403
ER

EF