195
ISIS-polygons is derived from scientific surveys
(UK Bottom Trawl Survey for sole, Cefas; France
Channel Ground Fish Survey for plaice and red
mullet, IFREMER; France COMOR (Coquille
Manche Orientale) survey for scallops,
IFREMER). It is assumed that fish distribution is
homogeneous within ISIS-polygons and that local
depletion occurs between migration episodes.
A price equation is estimated for each population based on sales slip, assuming a month effect
and a negative relationship with landings at the
monthly scale. The shape of the relationship (linear or log–log) is chosen according to the value
of the coefficient of determination of the model.
4
Conclusions
and Perspectives
The modeling exercise allows the integration of
information from different sources (logbooks,
VMS, and survey data, literature) on fish populations and fleets in the Eastern English Channel at
a fine spatial and temporal scale. The model as
set describes spatial and temporal heterogeneities
in population and effort distribution and allows
the prediction of their likely evolution under the
influence of fishing, economic, and management
pressures. Management scenarios, alternative to
current management, will be investigated, including management plans building in harvest control
rules, and discard limitations. Management
objectives focus on sole with its common bycatch
species plaice and on red mullet as an example of
a data-limited species. Particular attention will be
paid to the impacts of single-species management measures on the dynamics of all species.
References
Antoine L (1979) La croissance de la coquille SaintJacques Pecten maximus (L) et ses variations en mer
Celtique et en Manche. PhD thesis, Université de
Bretagne Occidentale. http://archimer.ifremer.fr/
doc/00005/11673/
Apostolaki P, Hillary R (2009) Harvest control rules in the
context of fishery-independent management of fish
stocks. Aquat Living Resour 22:217–224
Butterworth DS, Johnston SJ, Brandão A (2010) Pretesting
the likely efficacy of suggested management
approaches to data-poor fisheries. Mar Coast Fish
Dynam Manage Ecosyst Sci 2(1):131–145.
doi:10.1577/C08-038.1
Carpentier A, Martin CS, Vaz S (eds) (2009) Channel
habitat Atlas for marine resource management, final
report/Atlas des habitats des ressources marines de la
Manche orientale, rapport final (CHARM phase II).
INTERREG 3a Programme, IFREMER, Boulognesur-mer, France, 626 pp
Coull KA, Johnstone R, Rogers SI (1998) Fisheries sensitivity maps in British waters. Published and distributed
by UKOOA Ltd
ICES (2012) Report of the working group on the assessment of demersal stocks in the North sea and Skagerrak
(WGNSSK) ICES CM 2012/ACOM:13
Ifremer (2014) Indices de populations et de communautés
issus des campagnes de surveillance halieutique de
l’Ifremer.
http://www.ifremer.fr/SIH-indicescampagnes. 25 avril
Madsen N, Holst R, Wileman D, Moth-Poulsen T (1999)
Size selectivity of sole gill nets fished in the North
Sea. Fish Res 44(1):59–73
Marchal P, Little RL, Thébaud O (2011) Quota allocation
in mixed fisheries: a bioeconomic modeling approach
applied to the Channel flatfish fisheries ICES. J Mar
Sci 68(7):1580–1591. doi:10.1093/icesjms/fsr096
Pelletier D, Mahevas S, Drouineau H, Vermard Y, Thebaud
O, Guyader O, Poussin B (2009) Evaluation of the
bioeconomic sustainability of multispecies multi-fleet
fisheries under a wide range of policy options using
ISIS-fish. Ecol Modell 220:1013–1033. doi:10.1016/j.
ecolmodel.2009.01.007
A Spatial Model of the Mixed Demersal Fisheries in the Eastern Channel
ISIS-polygons is derived from scientific surveys
(UK Bottom Trawl Survey for sole, Cefas; France
Channel Ground Fish Survey for plaice and red
mullet, IFREMER; France COMOR (Coquille
Manche Orientale) survey for scallops,
IFREMER). It is assumed that fish distribution is
homogeneous within ISIS-polygons and that local
depletion occurs between migration episodes.
A price equation is estimated for each population based on sales slip, assuming a month effect
and a negative relationship with landings at the
monthly scale. The shape of the relationship (linear or log–log) is chosen according to the value
of the coefficient of determination of the model.
4
Conclusions
and Perspectives
The modeling exercise allows the integration of
information from different sources (logbooks,
VMS, and survey data, literature) on fish populations and fleets in the Eastern English Channel at
a fine spatial and temporal scale. The model as
set describes spatial and temporal heterogeneities
in population and effort distribution and allows
the prediction of their likely evolution under the
influence of fishing, economic, and management
pressures. Management scenarios, alternative to
current management, will be investigated, including management plans building in harvest control
rules, and discard limitations. Management
objectives focus on sole with its common bycatch
species plaice and on red mullet as an example of
a data-limited species. Particular attention will be
paid to the impacts of single-species management measures on the dynamics of all species.
References
Antoine L (1979) La croissance de la coquille SaintJacques Pecten maximus (L) et ses variations en mer
Celtique et en Manche. PhD thesis, Université de
Bretagne Occidentale. http://archimer.ifremer.fr/
doc/00005/11673/
Apostolaki P, Hillary R (2009) Harvest control rules in the
context of fishery-independent management of fish
stocks. Aquat Living Resour 22:217–224
Butterworth DS, Johnston SJ, Brandão A (2010) Pretesting
the likely efficacy of suggested management
approaches to data-poor fisheries. Mar Coast Fish
Dynam Manage Ecosyst Sci 2(1):131–145.
doi:10.1577/C08-038.1
Carpentier A, Martin CS, Vaz S (eds) (2009) Channel
habitat Atlas for marine resource management, final
report/Atlas des habitats des ressources marines de la
Manche orientale, rapport final (CHARM phase II).
INTERREG 3a Programme, IFREMER, Boulognesur-mer, France, 626 pp
Coull KA, Johnstone R, Rogers SI (1998) Fisheries sensitivity maps in British waters. Published and distributed
by UKOOA Ltd
ICES (2012) Report of the working group on the assessment of demersal stocks in the North sea and Skagerrak
(WGNSSK) ICES CM 2012/ACOM:13
Ifremer (2014) Indices de populations et de communautés
issus des campagnes de surveillance halieutique de
l’Ifremer.
http://www.ifremer.fr/SIH-indicescampagnes. 25 avril
Madsen N, Holst R, Wileman D, Moth-Poulsen T (1999)
Size selectivity of sole gill nets fished in the North
Sea. Fish Res 44(1):59–73
Marchal P, Little RL, Thébaud O (2011) Quota allocation
in mixed fisheries: a bioeconomic modeling approach
applied to the Channel flatfish fisheries ICES. J Mar
Sci 68(7):1580–1591. doi:10.1093/icesjms/fsr096
Pelletier D, Mahevas S, Drouineau H, Vermard Y, Thebaud
O, Guyader O, Poussin B (2009) Evaluation of the
bioeconomic sustainability of multispecies multi-fleet
fisheries under a wide range of policy options using
ISIS-fish. Ecol Modell 220:1013–1033. doi:10.1016/j.
ecolmodel.2009.01.007
A Spatial Model of the Mixed Demersal Fisheries in the Eastern Channel