Highlight
Free Access
Issue
Aquat. Living Resour.
Volume 25, Number 3, July-September 2012
Page(s) 231 - 240
DOI https://doi.org/10.1051/alr/2012021
Published online 05 September 2012
  • Akaike H., 1974, A new look at the statistical model identification. IEEE Trans. Automat. Contr. AC-19, 716–23. [CrossRef] [Google Scholar]
  • Catchpole T.L., Revill A.S., 2008, Gear technology in Nephrops trawl trawl ?sheries. Rev. Fish. Biol. Fish. 18, 17–31. Efron, B., 1982, The jackknife, the bootstrap and other resampling plans. SIAM Monograph No. 38, CBSM-NSF. [Google Scholar]
  • Eigaard O.R., Herrmann B., Nielsen R., 2012, Influence of grid orientation and time of day on grid sorting in a small-meshed trawl fishery for Norway pout (Trisopterus esmarkii). Aquat. Living Resour. 25, 15–26. [Google Scholar]
  • Feekings J., Bartolino V., Madsen N., Catchpole T., 2012, Fishery discards : factors affecting their variability within a demersal trawl fishery. PLoS One 7(4), e36409. [CrossRef] [PubMed] [Google Scholar]
  • Fonteyne R., Buglioni G., Leonori I., O’Neill F.G., 2007, Review of mesh measurement methodologies. Fish. Res. 85, 279–284. [CrossRef] [Google Scholar]
  • Frandsen R.P., Herrmann B., Madsen N., 2010a, A simulation-based attempt to quantify the morphological component of size selection of Nephrops norvegicus in trawl codends. Fish. Res. 101, 156–167. [CrossRef] [Google Scholar]
  • Frandsen R.P., Herrmann B., Madsen N., Krag L.A., 2011, Development of a codend concept to improve size selectivity of Nephrops (Nephrops norvegicus) in a multi-species fishery. Fish. Res. 111, 116–126. [CrossRef] [Google Scholar]
  • Frandsen R.P., Madsen N., Krag L.A., 2010b, Selectivity and escapement behaviour of five commercial species in a square mesh and a diamond mesh codend. ICES J. Mar. Sci. 67, 1721–1731. [CrossRef] [Google Scholar]
  • Frandsen R.P., Holst R., Madsen N., 2009, Evaluation of three levels of selective devices relevant to management of the Danish Kattegat-Skagerrak Nephrops fishery. Fish. Res. 97, 243–252. [CrossRef] [Google Scholar]
  • Fryer R.J., 1991, A model of the between-haul variation in selectivity. ICES. J. Mar. Sci. 48, 281–290. [Google Scholar]
  • Grimaldo E., Larsen R.B., Sistiaga M., Madsen N., Breen M., 2009, Selectivity and escape percentages during three phases of the towing process for codends fitted with different selection systems. Fish. Res. 95, 198–205. [CrossRef] [Google Scholar]
  • Harris R.R., Andrews M.B., 2005a, Physiological changes in the Norway lobster Nephrops norvegicus (L.) escaping and discarded from commercial trawls on the West Coast of Scotland. 1. Body fluid volumes and haemolymph composition after capture and during recovery on the seabed. J. Exp. Mar. Biol. Ecol. 320, 179–193. [CrossRef] [Google Scholar]
  • Harris R.R., Andrews M.B., 2005b, Physiological changes in the Norway lobster Nephrops norvegicus (L.) escaping and discarded from commercial trawls on the West Coast of Scotland. II. Disturbances in haemolymph respiratory gases, tissue metabolites and swimming performance after capture and during recovery. J. Exp. Mar. Biol. Ecol. 320, 195–210. [CrossRef] [Google Scholar]
  • Harris R.R., Ulmestrand M., 2004, Discarding Norway lobster (Nephrops norvegicus L.) through low salinity layers – mortality and damage seen in simulation experiments. ICES J. Mar. Sci. 61, 127–139. [CrossRef] [Google Scholar]
  • Herrmann B., 2005, Effect of catch size and shape on the selectivity of diamond mesh cod-ends : II Theoretical study of haddock selection. Fish. Res. 71, 15–26. [CrossRef] [Google Scholar]
  • Herrmann B., Priour D., Krag L.A., 2007, Simulation based study of the combined effect on cod-end size selection for round fish of turning mesh 90° and reducing the number of meshes in the circumference. Fish. Res. 84, 222–232. [CrossRef] [Google Scholar]
  • Herrmann B., Krag L.A., Frandsen R.P., Madsen N., Lundgren B., Stæhr K.J., 2009, Prediction of selectivity from morphological conditions : Methodology and a case study on cod (Gadus morhua). Fish. Res. 97, 59–71. [CrossRef] [Google Scholar]
  • ICES, 2010, Report of the study group on Turned 90° codend selectivity, focusing on Baltic cod selectivity (SGTCOD). ICES CM 2010/FTC :05. [Google Scholar]
  • ICES, 2011, Report of the study group on Turned 90° codend selectivity, focusing on Baltic cod selectivity (SGTCOD), 4–6 May 2011, IMR, Reykjavik, Iceland. ICES CM 2011/SSGESST :08. [Google Scholar]
  • Krag L.A., Frandsen R.P., Madsen N., 2008, Evaluation of a simple means to reduce discard in the Kattegat-Skagerrak Nephrops (Nephrops norvegicus) fishery : Commercial testing of different codends and square-mesh panels. Fish. Res. 91, 175–186. [CrossRef] [Google Scholar]
  • Lowry N., Robertson J.H.B., 1995, The effect of twine thickness on cod-end selectivity of trawls for haddock in the North Sea. Fish. Res. 26, 353–363. [CrossRef] [Google Scholar]
  • Madsen N., 2007, Selectivity of fishing gears used in the Baltic Sea cod fishery. Rev. Fish. Biol. Fish. 17, 517–544. [Google Scholar]
  • Madsen N., Hansen K.E., Moth-Poulsen T., 2001, The kite cover : a new concept for covered codend selectivity studies. Fish. Res. 49, 219–226. [CrossRef] [Google Scholar]
  • Madsen N., Hansen K.E., Frandsen R.P., Krag L.A., 2012, Development and test of a remotely operated Minisampler for discrete trawl sampling. Fish. Res. 123-124, 16–20. [CrossRef] [Google Scholar]
  • Madsen N., Moth-Poulsen T., Lowry N., 1998, Selectivity experiments with window codends fished in the Baltic Sea cod (Gadus morhua) fishery. Fish. Res. 36, 1–14. [CrossRef] [Google Scholar]
  • Madsen N., Skeide R., Breen M., Krag L.A., Huse I., Soldal A.V., 2008, Selectivity in a trawl codend during haul-back operation – An overlooked phenomenon. Fish. Res. 91, 168–174. [CrossRef] [Google Scholar]
  • Madsen N., Frandsen R.P., Holst R., Krag L.A., 2010, Development of new concepts for escape windows to minimise cod catches in Norway lobster fisheries. Fish. Res. 103, 25–29. [CrossRef] [Google Scholar]
  • Madsen N., Valentinsson D., 2010, Use of selective devices in trawls to support recovery of the Kattegat cod stock : a review of experiments and experience. ICES J. Mar. Sci. 67, 2042–2050. [CrossRef] [Google Scholar]
  • Manly B.F.J., 1997, Randomization, Bootstrap and Monte Carlo methods in biology – Texts in statistical science. Chapman & Hall. [Google Scholar]
  • Millar R.B., 1993, Incorporation of between-haul variation using bootstrapping and nonparametric estimation of selection curves. Fish. Bull. 91, 564–572. [Google Scholar]
  • Sala A., Lucchetti A., Buglioni G., 2007, The influence of twine thickness on the size selectivity of polyamide codends in a Mediterranean bottom trawl. Fish. Res. 83, 192–203. [CrossRef] [Google Scholar]
  • Shelton P.M., Gaten E., Chapman C.J., 1985, Light and retinal damage in Nephrops norvegicus (L.) (Crustacea). Proc. R. Soc. Lond. B 226, 217–236. [CrossRef] [Google Scholar]
  • Sistiaga M., Herrmann B., Grimaldo E., Larsen R.B., 2010, Assessment of dual selection in grid based selectivity systems. Fish. Res. 105, 187–199. [CrossRef] [Google Scholar]
  • Tokac A., Ozbilgin H., Tosunoglu Z., 2004, Effect of PA and PE material on codend selectivity in Turkish bottom trawl. Fish. Res. 67, 317–327. [CrossRef] [Google Scholar]
  • Valentinsson D., Ulmestrand M., 2008, Species-selective Norway lobster trawling : Swedish grid experiments. Fish. Res. 90, 109–117. [CrossRef] [Google Scholar]
  • Votier S.C., Furness R.W., Bearhop S., Crane J.E., Caldow R.W.G., Catry P., Ensor K., Hamer K.C., Hudson A.W., Kalmbach E., Klomp N.I., Pfeiffer S., Phillips R.A., Prieto I., Thompson D.R., 2004, Changes in fisheries discard rates and seabird communities. Nature 427, 727–730. [CrossRef] [PubMed] [Google Scholar]
  • Wienbeck H., Herrmann B., Moderhak W., Stepputtis D., 2011, Effect of netting direction and number of meshes around on size selection in the codend for Baltic cod (Gadus morhua). Fish. Res. 109, 80–88. [CrossRef] [Google Scholar]
  • Wileman D.A., Ferro R.S.T., Fonteyne R., Millar R.B. (eds.), 1996, Manual of methods of measuring the selectivity of towed fishing gears. ICES Coop. Res. Rep. No. 215. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.