FN Archimer Export Format
PT J
TI Modelling growth variability in longline mussel farms as a function of stocking density and farm design
BT 
AF ROSLAND, Rune
   BACHER, Cedric
   STRAND, Oivind
   AURE, Jan
   STROHMEIER, Tore
AS 1:1;2:2;3:3;4:3;5:3;
FF 1:;2:PDG-ODE-DYNECO;3:;4:;5:;
C1 Univ Bergen, Dept Biol, N-5020 Bergen, Norway.
   IFREMER, Ctr Brest, F-29280 Plouzane, France.
   Inst Marine Res, N-5817 Bergen, Norway.
C2 UNIV BERGEN, NORWAY
   IFREMER, FRANCE
   INST MAR RES, NORWAY
SI BREST
SE PDG-ODE-DYNECO
IN WOS Ifremer jusqu'en 2018
   copubli-europe
IF 2.598
TC 49
UR https://archimer.ifremer.fr/doc/00038/14887/12210.pdf
LA English
DT Article
DE ;Longline farm configuration;Environmental conditions;Flow reduction;Seston depletion;Spatial growth variability
AB Mussels (Mytilus edulis) are commonly cultivated on artificial structures like rafts, poles or longlines to facilitate farming operations. Farm structures and dense mussel populations may result in water flow reduction and seston depletion and thus reduced individual mussel growth and spatial growth variability inside a farm. One of the challenges in mussel farming is thus to scale and configure farms in order to optimise total mussel production and individual mussel quality under different environmental regimes. Here we present a spatially resolved model for simulation of flow reduction, seston depletion and individual mussel growth inside a longline farm based on information about farm configuration (spacing between longlines, farm length and stocking density) and background environmental conditions (current speed, seston concentration and temperature). The model simulations are forced by environmental data from two fjords in south-western Norway and the farm configurations are defined within operational ranges.  The simulations demonstrate spatial growth patterns at longlines under environmental settings and farm configurations where flow reduction and seston depletion have significant impacts on individual mussel growth. Longline spacing has a strong impact on the spatial distribution of individual growth, and the spacing is characterised by a threshold value. Below the threshold growth reduction and spatial growth variability increase rapidly as a consequence of reduced water flow and seston supply rate, but increased filtration due to higher mussel densities also contributes to the growth reduction. The spacing threshold is moderated by other farm configuration factors and environmental conditions. Comparisons with seston depletion reported from other farm sites show that the model simulations are within observed ranges. A demonstration is provided on how the model can guide farm configuration with the aim of optimising total farm biomass and individual mussel quality (shell length, flesh mass, spatial flesh mass variability) under different environmental settings. The model has a potential as a decision support tool in mussel farm management and will be incorporated into a GIS-based toolbox for spatial aquaculture planning and management.  Research highlights  ► New model for flow reduction, seston depletion and mussel growth in longline farms. ► Integration of processes at the level of individual mussels and at the farm level. ► Mussel size and condition depend on farm configuration and environment. ► Spacing between longlines is the most influential farm parameter on mussel growth. ► The effects of farm configuration are moderated by environmental conditions.
PY 2011
PD NOV
SO Journal Of Sea Research
SN 1385-1101
PU Elsevier Science Bv
VL 66
IS 4
UT 000298910200007
BP 318
EP 330
DI 10.1016/j.seares.2011.04.009
ID 14887
ER

EF