187
H.-J. Ceccaldi et al. (eds.), Marine Productivity: Perturbations and Resilience of Socio-ecosystems,
DOI 10.1007/978-3-319-13878-7_20, © Springer International Publishing Switzerland 2015
S. Lehuta (*)
Ifremer, unité Ecologie et Modèles pour l’halieutique,
rue de l’ile d’Yeu, F-44311 Nantes 03, France
e-mail: Sigrid.Lehuta@ifremer.fr
Y. Vermard • P. Marchal
Ifremer, Unité Halieutique de Manche mer du Nord,
150 quai Gambetta, BP 699, F-62321 Boulogne-surmer Cedex, France
A Spatial Model of the Mixed
Demersal Fisheries in the Eastern
Channel
Sigrid Lehuta, Youen Vermard, and Paul Marchal
Abstract
In the Eastern Channel, a diversity of fleets targets a large variety of
species with various gears. The complexity of the fishery makes it difficult
to develop and predict the effects of the new management measures promoted by the new Common Fisheries Policy, in particular harvest control
rules and landing obligation. The evaluation of the impact of these new
measures on fishing activities and resources requires a model which can
capture the main features of the fishery. Here, we conduct an analysis of
the Eastern Channel demersal fishery to collect information and identify
the important aspects that need to be included in the model. The analysis
shows the importance of six main species restricted to the Eastern Channel
in the French demersal fleet’s revenues: scallops, sole, plaice, red mullet,
squid, and cuttlefish. Landings are very mixed which does not allow the
identification of a main target species at the fishing trip level. We also
noticed a strong spatial structuration of effort in space, mainly due to the
characteristics of the boats and the distribution of fish. Effort is also structured in time because of the seasonality of species and of management
constraints. The spatially and seasonally explicit model ISIS-Fish is consequently chosen to integrate this information and to allow simulating the
evolution of the fishery under a new management regime. The spatial resolution and the definition of the fleets are selected in accordance with the
results of the descriptive analysis. Métiers are described and catchability
parameters are assessed. Spatially explicit population dynamics models
are developed for each of the six species. Finally, a fishing behavior model
is proposed to allow predictive simulations to account for changes in
species distribution, management, and economic conditions.
H.-J. Ceccaldi et al. (eds.), Marine Productivity: Perturbations and Resilience of Socio-ecosystems,
DOI 10.1007/978-3-319-13878-7_20, © Springer International Publishing Switzerland 2015
S. Lehuta (*)
Ifremer, unité Ecologie et Modèles pour l’halieutique,
rue de l’ile d’Yeu, F-44311 Nantes 03, France
e-mail: Sigrid.Lehuta@ifremer.fr
Y. Vermard • P. Marchal
Ifremer, Unité Halieutique de Manche mer du Nord,
150 quai Gambetta, BP 699, F-62321 Boulogne-surmer Cedex, France
A Spatial Model of the Mixed
Demersal Fisheries in the Eastern
Channel
Sigrid Lehuta, Youen Vermard, and Paul Marchal
Abstract
In the Eastern Channel, a diversity of fleets targets a large variety of
species with various gears. The complexity of the fishery makes it difficult
to develop and predict the effects of the new management measures promoted by the new Common Fisheries Policy, in particular harvest control
rules and landing obligation. The evaluation of the impact of these new
measures on fishing activities and resources requires a model which can
capture the main features of the fishery. Here, we conduct an analysis of
the Eastern Channel demersal fishery to collect information and identify
the important aspects that need to be included in the model. The analysis
shows the importance of six main species restricted to the Eastern Channel
in the French demersal fleet’s revenues: scallops, sole, plaice, red mullet,
squid, and cuttlefish. Landings are very mixed which does not allow the
identification of a main target species at the fishing trip level. We also
noticed a strong spatial structuration of effort in space, mainly due to the
characteristics of the boats and the distribution of fish. Effort is also structured in time because of the seasonality of species and of management
constraints. The spatially and seasonally explicit model ISIS-Fish is consequently chosen to integrate this information and to allow simulating the
evolution of the fishery under a new management regime. The spatial resolution and the definition of the fleets are selected in accordance with the
results of the descriptive analysis. Métiers are described and catchability
parameters are assessed. Spatially explicit population dynamics models
are developed for each of the six species. Finally, a fishing behavior model
is proposed to allow predictive simulations to account for changes in
species distribution, management, and economic conditions.