FN Archimer Export Format
PT J
TI Lessons from the calibration and sensitivity analysis of a fish larval transport model
BT 
AF Barbut, Lép
   LEHUTA, Sigrid
   Volckaert, Filip A. M.
   Lacroix, Geneviève
AS 1:1,2;2:3;3:2;4:1;
FF 1:;2:PDG-RBE-HALGO-EMH;3:;4:;
C1 Operational Directorate Natural Environment (OD Nature), Royal Belgian Institute of Natural Sciences (RBINS), Rue Vautier 29, 1000 Brussels, Belgium
   Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven, Ch. Deberiotstraat 32 PB 2439, 3000 Leuven, Belgium
   Unité Ecologie et Modèles pour l’Halieutique (EMH), IFREMER, Rue de l’Ile d’Yeu, BP 21105, 44311 Nantes, France
C2 RBINS, BELGIUM
   UNIV LEUVEN, BELGIUM
   IFREMER, FRANCE
SI NANTES
SE PDG-RBE-HALGO-EMH
IF 2,5
TC 0
UR https://archimer.ifremer.fr/doc/00882/99390/109408.pdf
   https://archimer.ifremer.fr/doc/00882/99390/109409.pdf
   https://archimer.ifremer.fr/doc/00882/99390/109410.xlsx
LA English
DT Article
DE ;Biophysical model;Calibration;Common sole;Connectivity;Flatfish;Larval dispersal;North Sea;Parametrization;Recruitment;Solea solea;Sensitivity
AB Numerous fish populations show strong year-to-year variations in recruitment. The early life stages play a crucial role in determining recruitment and dispersal patterns. A helpful tool to understand recruitment and dispersal involves simulations with a Lagrangian transport model, which results from the coupling between a hydrodynamic model and an individual-based model. Larval transport models require sound knowledge of the biological processes governing larval dispersal, and they may be highly sensitive to the parameters selected. Various assumptions about larval traits, behaviour and other model parameters can be tested by comparing simulation results with field data to identify the most sensitive parameters and to improve model calibration. This study shows that biological parameterization is more important than inter-annual variability in explaining the year-to-year differences in larval recruitment of common sole in the North Sea and the eastern English Channel. In contrast, year-to-year variability of connectivity leads to higher variability than changes in the biological parameters. The most influential parameters are pelagic larval duration, spawning period and mortality. Calibration over a 12 yr recruitment survey shows that a scenario with low mortality associated with a long larval duration and behaviour involving nycthemeral and tidal migration best reproduces the observations. This research provides insights into factors influencing fish dispersal and recruitment, suggesting a strategy for enhancing the accuracy of models in upcoming studies. The study supports the improvement of larval dispersal modelling by incorporating an easily applicable sensitivity analysis for both calibration and validation. Incorporating sensitivity analyses enhances larval dispersal models, providing performing tools that can contribute to informed fisheries management and understanding of recruitment variability. 
PY 2024
PD MAR
SO Marine Ecology Progress Series
SN 0171-8630
PU Inter-Research Science Center
VL 731
UT 001200182900018
BP 67
EP 88
DI 10.3354/meps14536
ID 99390
ER

EF