Size selectivity patterns in the North-east Arctic cod and haddock fishery with sorting grids of 55, 60, 70 and 80mm

Sistiaga, Manu Berrondo; Grimaldo, Eduardo; Larsen, Roger B.

doi:10.1016/j.fishres.2008.04.014

Cited by 23 publications

(17 citation statements)

References 18 publications

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“…Jørgensen et al (2006), Sistiaga et al (2008), and other authors have successfully fitted a simple logit curve to their grid + codend selectivity data. The former argued that the fit of a logit model was more adequate for their dataset than a dual logistic model (not considering C grid ).…”

Section: Discussionmentioning

confidence: 99%

“…Most selectivity studies of grid + codend selection systems have successfully used a simple logit model (formula (3)) to describe the retention of the dual selection system (Jørgensen et al, 2006;Grimaldo et al, 2008;Sistiaga et al, 2008Sistiaga et al, , 2009. Why does the logit model lead to a reasonable description of this kind of experimental data when previous sections of this paper demonstrate the benefits of applying the model described by formula (2)?…”

Section: Influence Of the Dual Selection Signature On The Performancementioning

confidence: 95%

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Assessment of dual selection in grid based selectivity systems

et al. 2010

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Section: Discussionmentioning

confidence: 99%

Section: Influence Of the Dual Selection Signature On The Performancementioning

confidence: 95%

Assessment of dual selection in grid based selectivity systems

et al. 2010

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“…In the present study we chose the logit model, with parameters L50 reject and SR reject , assuming it was appropriate for modelling the length-dependent grid rejection likelihood of the four species analysed. This assumption is further justified by the successful application of logit models in several other studies of size selectivity in sorting grids Sistiaga et al 2008;Frandsen et al 2009). On a haul-by-haul basis, the L50 reject and SR reject can then, in principle, be estimated by maximizing the corresponding likelihood function for the assumed model.…”

Section: Length-based Analyses Of Grid Rejection Likelihoodmentioning

confidence: 98%

Influence of grid orientation and time of day on grid sorting in a small-meshed trawl fishery for Norway pout (Trisopterus esmarkii)

Eigaard

Herrmann

Nielsen

2012

Aquat. Living Resour.

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-A lightweight sorting grid was developed to reduce bycatch in the Danish small-meshed trawl fishery (22 mm full mesh in the cod end) for Norway pout in the North Sea. Experimental fishing with the grid demonstrated the possibility to capture Norway pout with only a minimum of unintended bycatch. Fishing with two different grid orientations, backwards and forwards-leaning, in distinct day and night hauls, resulted in an estimated release of between 88.4 and 100% of the total number of haddock (Melanogrammus aeglefinus) and whiting (Merlangius merlangus) entering the trawl. However, bycatch reductions were not significantly different between day and night or between grid orientations, indicating that the grid rejection of haddock and whiting is not influenced by fish behaviour. The loss of the target species, Norway pout, was low (between 5.6% and 13.7%) in comparison with the bycatch excluded, and clearly length dependent. Consequently, loss of target species would vary with the size structure of the population fished. Although results were not statistically significant, length-based analyses indicated that the grid rejection likelihood for particularly smaller Norway pout (<16 cm) was higher when fishing with the forwards-leaning grid during the night; this might be explained by behavioural and visual aspects of the fish-grid encounter process for Norway pout.

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“…The solid line is a trend line fitted to the FISHSELECT results (diamonds), which are presented for up to the maximum fish size included in the data collection process. The broken line is a trend line added to the sea trial selectivity results (triangles) obtained for the different bar spacing grids in [41]. Panel (c) shows the L50 differences and a trend line for these differences between cod and haddock.…”

Section: Fishselect Results For Northeast Arctic Demersal Speciesmentioning

confidence: 99%

Trawl Selectivity in the Barents Sea Demersal Fishery

Grimaldo¹,

Sistiaga²,

Herrmann³

et al. 2016

Fisheries and Aquaculture in the Modern World

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This chapter provides a general overview of the Barents Sea demersal trawl fishery. First, it reviews historical catch levels and current biomass status of four commercially important demersal species (cod, haddock, Greenland halibut, and redfish) and includes an overview of their management plan that has been carried out by the Joint Norwegian-Russian commission. Then, it presents the evolution of the technical regulations for improving size selectivity in this fishery and describes current challenges in gear selectivity. Later, this chapter describes the concept of size selectivity, introduces the selective parameters that define a selection curve, and progressively introduces different parametric models that describe the selection process. The most common experimental methods and gear used to collect selectivity data are described, and their advantages and disadvantages are discussed. Finally, this chapter describes an alternative, or a complementary method, to the conventional estimation of trawl selectivity-the FISHSELECT method. This method is based on morphology measurements and fish penetration models to estimate the selective properties of different mesh shapes and sizes at different mesh openings, which are later used to provide simulation-based prediction of size selectivity. FISHSELECT has already been applied to four important species of the Barents Sea Demersal Fishery, and the results have in all cases showed to be coherent with the results obtained from sea trial results.

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Size selectivity patterns in the North-east Arctic cod and haddock fishery with sorting grids of 55, 60, 70 and 80mm

Cited by 23 publications

References 18 publications

Assessment of dual selection in grid based selectivity systems

Assessment of dual selection in grid based selectivity systems

Influence of grid orientation and time of day on grid sorting in a small-meshed trawl fishery for Norway pout (Trisopterus esmarkii)

Trawl Selectivity in the Barents Sea Demersal Fishery

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