2016
DOI: 10.1093/icesjms/fsw129
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Highly mixed fisheries: fine-scale spatial patterns in retained catches of French fisheries in the Celtic Sea

Abstract: Efficiency of mixed-fisheries management and operational implementation of the ecosystem approach to fisheries management rely on the ability to understand and describe the technical and biological interactions between fleets, gears and species. The present study aims to describe fine-scale spatial patterns of the French demersal mixed fisheries in the Celtic Sea and discusses their implications in terms of management. Analysis was made by integrating vessel monitoring systems and logbook data collected betwee… Show more

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Cited by 24 publications
(22 citation statements)
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“…The Celtic Sea is also an important fishing zone, intensively exploited by France, Ireland, the UK, Belgium, and Spain since at least the 1950s (Guénette & Gascuel, 2012). It sustains an important fishery of more than 100 species, from algae to top-predator fishes (Mateo, Pawlowski, & Robert, 2017). After major changes occurred in the 1950-1970, a decreasing trend of fishing mortality has been reported since the mid-1990s for assessed benthic and demersal stocks (ICES, 2018b).…”
Section: Introductionmentioning
confidence: 99%
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“…The Celtic Sea is also an important fishing zone, intensively exploited by France, Ireland, the UK, Belgium, and Spain since at least the 1950s (Guénette & Gascuel, 2012). It sustains an important fishery of more than 100 species, from algae to top-predator fishes (Mateo, Pawlowski, & Robert, 2017). After major changes occurred in the 1950-1970, a decreasing trend of fishing mortality has been reported since the mid-1990s for assessed benthic and demersal stocks (ICES, 2018b).…”
Section: Introductionmentioning
confidence: 99%
“…Previous studies in the Celtic Sea described communities in relation to fishing and oceanographic variables, at relatively local geographical and temporal scales, around the banks in the center of the Sea (Martinez, Ellis, Scott, & Tidd, 2013;Mateo et al, 2017;Sharples, Ellis, Nolan, & Scott, 2013). However, the question of their long-term and large-scale variability remains to be addressed.…”
Section: Introductionmentioning
confidence: 99%
“…The objective of the analysis was to identify and describe areas with similar discard profiles, using a combined set of multivariate methods (principal component analysis (PCA) and hierarchical classification) as described in (Mateo et al 2017).…”
Section: Discard Mapsmentioning
confidence: 99%
“…In some case, matching was difficult illustrating structural differences in the data between the eight case studies. The spatial distance between the grid cells was not taken into account, so any spatial patterns that emerge from the analysis are the result of similarities in the discard composition of neighbouring cells (as in Gerritsen et al, 2012;Mateo et al, 2017).…”
Section: Discard Mapsmentioning
confidence: 99%
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