Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-28T05:59:54.016Z Has data issue: false hasContentIssue false
  • English
  • Français

A bio-economic analysis of experimental selective devices in the Norway lobster (Nephrops norvegicus) fishery in the Bayof Biscay

Published online by Cambridge University Press:  28 November 2012

Adriana Raveau ,
Claire Macher ,
Sonia Méhault ,
Mathieu Merzereaud ,
Christelle Le Grand ,
Olivier Guyader ,
Michel Bertignac ,
Spyros Fifas  and
Jordi Guillen
Adriana Raveau
Affiliation:
Université de Brest, UMR AMURE, IUEM, 12 rue du Kergoat, CS 93837, 29238 Brest Cedex 3, France
Claire Macher*
Affiliation:
IFREMER, UMR AMURE, Dép. RBE, Unité d’Economie maritime, BP 70, 29280 Plouzané Cedex, France
Sonia Méhault
Affiliation:
IFREMER, Dép. RBE, Unité de Sciences et Technologies halieutiques, Station de Lorient, 8 rue François Toullec, 56100 Lorient, France
Mathieu Merzereaud
Affiliation:
IFREMER, UMR AMURE, Dép. RBE, Unité d’Economie maritime, BP 70, 29280 Plouzané Cedex, France
Christelle Le Grand
Affiliation:
Oceanic Developpement, Consulting Office, 28 quai de la Douane, 29200 Brest, France
Olivier Guyader
Affiliation:
IFREMER, UMR AMURE, Dép. RBE, Unité d’Economie maritime, BP 70, 29280 Plouzané Cedex, France
Michel Bertignac
Affiliation:
IFREMER, Dép. RBE, Unité Sciences et Technologies halieutiques, BP 70, 29280 Plouzané Cedex, France
Spyros Fifas
Affiliation:
IFREMER, Dép. RBE, Unité Sciences et Technologies halieutiques, BP 70, 29280 Plouzané Cedex, France
Jordi Guillen
Affiliation:
IFREMER, Dép. RBE, Unité Sciences et Technologies halieutiques, BP 70, 29280 Plouzané Cedex, France
*
a Corresponding author: claire.macher@ifremer.fr
Get access

Abstract

Several fleets with various fishing strategies operate as a mixed fishery in the Bay of Biscay. Among the main fleets, bottom trawlers target Norway lobster (Nephrops norvegicus) and, together with gillnetters, they also catch hake (Merluccius merluccius). Trawling leads to average-size catches that are below the minimum landing size (MLS); such catches are discarded since they cannot be sold. These discards result in negative impacts on stock renewal, as most of them do not survive. This also results in an economic loss for both bottom trawlers and gillnetters since these discards represent a future loss of rent. This study, based on the 2009 and 2010 selectivity experiments at sea, assesses the short- and long-term bio-economic impacts of four experimental selective devices aimed at reducing N. norvegicus and M. merluccius discards over a 20-year simulation period. Tests were conducted at sea on a research trawler. Using the impact assessment model for fisheries management (IAM model), selectivity scenarios for trawlers in the Bay of Biscay were compared to a theoretical selective scenario of adopting an optimal device that catches only N. norvegicus and M. merluccius above MLS (9 cm and 27 cm total length, respectively). Costs and benefits were analyzed with the objective of finding the best compromise between a reduction in discards of undersized fish and a loss of valuable catches among the experimental devices. Selectivity scenarios show positive impacts on stocks but different economic impacts between fleets. The combination of a square mesh cylinder with a grid and square mesh panels gives the closest results to the theoretical scenario tested in terms of stock recovery and economic benefits. This experimental device leads to low economic losses in the short term and eventually to higher N. norvegicus yields, which would be favourable for fleets that greatly contribute to N. norvegicus fishing efforts.

Keywords

Demersal trawl fisheryBio-economic analysisSelectivitySimulationSelective deviceNephrops norvegicus / Merluccius merlucciusAtlantic Ocean
Type
Research Article
Information
Aquatic Living Resources , Volume 25 , Issue 3 , July 2012 , pp. 215 - 229
Copyright
© EDP Sciences, IFREMER, IRD 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Arrow, K.J., Cropper, M.L., Eads, G.C., Hahn, R.W., Lave, L.B., Noll, R.G., Portney, P.R., Russell, M., Schmalensee, R., Smith, V.K., Stavins, R.N., 1996, Is there a role for benefit-cost analysis in environmental, health, and safety regulation. Science 272, 221–222. CrossRefGoogle Scholar
Asche, F., Guillen, J., 2012, The importance of fishing method, gear and origin : the Spanish hake market. Mar. Policy 36, 365–369. CrossRefGoogle Scholar
Berthou P., Guyader O., Leblond E., Demanèche S., Daurès F., Merrien C., Lespagnol P., 2008, From fleet census to sampling schemes : an original collection of data on fishing activity for the assessment of the French fisheries. ICES CM 2008/ K : 12, Halifax.
Broadhurst, M.K., Kennelly, S.J., Isaksen, B., 1996, Assessments of modified codends that reduce the bycatch of fish in two estuarine prawn-trawl fisheries in New South Wales, Australia. Fish. Res. 27, 89–111. CrossRefGoogle Scholar
Conan G.Y., 1978, Average growth curves and life history in a Nephrops norvegicus population from Northern Bay of Biscay. ICES CM 1978/K :21.
Copes, P., 1986, A critical review of the individual quota as a device in fisheries management. Land Econ. 62, 278–291. CrossRefGoogle Scholar
de Pontual, H., Groison, A.L., Pineiro, C., Bertignac, M., 2006, Evidence of underestimation of European hake growth in the Bay of Biscay, and its relationship with bias in the agreed method of age estimation. ICES J. Mar. Sci. 63, 1674–1681. CrossRefGoogle Scholar
Doyen, L., Thébaud, O., Béné, C., Martinet, V., Gourguet, S., Bertignac, M., Fifas, S., Blanchard, F., 2012, A stochastic viability approach to ecosystem-based fisheries management. Ecol. Econ. 75, 32–42. CrossRefGoogle Scholar
Drouineau, H., Mahévas, S., Bertignac, M., Duplisea, D., 2010, A length-structured spatially explicit model for estimating hake growth and migration rates. ICES J. Mar. Sci. 67, 1697–1709. CrossRefGoogle Scholar
Eggert, H., Ulmestrand, M., 2000, A bioeconomic analysis of the Swedish fishery for Norway lobster. Mar. Resour. Econ. 14, 225–244. CrossRefGoogle Scholar
EC, 2009, Commission of the European Communities Green paper : reform of the Common Fisheries Policy. COM 163 final CEC, Brussels.
EC, 2006, Council Regulation (EC) No 51/2006 of 22 December 2005 fixing for 2006 the fishing opportunities and associated conditions for certain fish stocks and groups of fish stocks, applicable in Community waters and, for Community vessels, in waters where catch limitations are required.
EC, 2001, Council Regulation (EC) No 1639/2001 of 25 July 2001 establishing the minimum and extended Community programmes for the collection of data in the fisheries sector and laying down detailed rules for the application of Council Regulation (EC) No 1543/2000. Off. J. Eur. Communities L222, 53–115.
EC, 2004, Council Regulation (EC) No 811/2004 of 21 April 2004 establishing measures for the recovery of the Northern hake stock. Off. J. Eur. Communities L150, 1–11.
Daurès F., Van Iseghem S., Demanèche S., Leblond E., Brigaudeau C., Guyader O., Berthou P., 2008, Re-assessing the French small-scale coastal fisheries : from fleet activity to economic performance. ICES CM 2008 / K :10, Halifax.
Ferro RST.,Özbilgin, H., Breen, M., 2008, The potential for optimizing yield from a haddock trawl fishery using seasonal changes in selectivity, population structure and fish condition. Fish. Res. 98, 151–159. Google Scholar
Fonseca, P., Campos, A., Larsen, R.B., Borges, T.C., Erzini, K., 2005a, Using a modified Nordmøre grid for bycatch reduction in the Portuguese crustacean-trawl fishery. Fish. Res. 71, 223–239. CrossRefGoogle Scholar
Fonseca, P., Campos, A., Mendes, B., Larsen, R.B., 2005b, Potential use of a Nordmøre grid for bycatch reduction in a Portuguese bottom-trawl multispecies fishery. Fish. Res. 73, 49–66. CrossRefGoogle Scholar
FranceAgrimer, 2010, Commerce extérieur des produits de la pêche et de l’aquaculture, données statistiques 2009. FranceAgriMer.
Goodyear, G.P., 1996, Variability of fishing mortality by age : consequences for maximum sustainable yield. North Am. J. f Fish. Manage. 16, 8–13. 2.3.CO;2>CrossRefGoogle Scholar
Guéguen J., Charuau A., 1975, Essai de determination du taux de survie des langoustines hors taille rejetées lors des opérations de pêche commerciale. ICES CM 1975/K :12.
He, P., 1993, Swimming speeds of marine fish in relation to fishing gears. ICES J. Mar. Sci. Symp. 196, 183–189. Google Scholar
Hill, B.J., Wassenberg, T.J., 2000, The probable fate of discards from prawn trawlers fishing near coral reefs : A study in the northern Great Barrier Reef, Australia. Fish. Res. 48, 277–286. CrossRefGoogle Scholar
Hoff, A., Hans, F., 2008, Modelling economic response to harvest and effort control in North Sea cod fishery. Aquat. Living Resour. 21, 259–264. CrossRefGoogle Scholar
ICES, 2011, Report of the Working Group on the Assessment of Southern Shelf stocks of Hake, Monk and Megrim (WGHMM), 5–11 May 2011, ICES Headquarters, Copenhagen. ICES CM 2011/ACOM : 11, 625 pp.
ICES, 2010, Report of the Working Group on the assessment of southern shelf stocks of hake, monk and megrim (WGHMM), 5–11 May 2010, Bilbao. ICES CM 2010/ACOM : 11.
ICES, 1991, Report of the ICES Working Group on Fisheries Units in Sub-areas VII and VIII. ICES CM 1991/Assess : 24.
Lowry, N., Robertson, JHB., 1996, The effect of twine thickness on cod-end selectivity of trawls for haddock in the North Sea. Fish. Res. 26, 353–363. CrossRefGoogle Scholar
Macbeth, WG., Millar, RB., Broadhurst, MK., Hewitt, CW., Wooden, MEL., 2007, Intra-fleet variability in the size selectivity of a square-mesh trawl codend for school prawns (Metapenaeus macleayi). Fish. Res. 86, 92–98. CrossRefGoogle Scholar
Lebègue D. (coord.), 2005, Révision du taux d’actualisation des investissements publics. Commissariat Général du Plan.
Macher, C., Boncoeur, J., 2010, Optimal selectivity and effort cost a simple bioeconomic model with an application to the Bay of Biscay nephrops fishery. Mar. Resour. Econ. 25, 213–232. CrossRefGoogle Scholar
Macher, C., Guyader, O., Talidec, C., Bertignac,, M., 2008, A cost-benefit analysis of improving trawl selectivity in the case of discards : The Nephrops norvegicus fishery in the Bay of Biscay. Fish. Res. 92, 76–89. CrossRefGoogle Scholar
Maynou, F., Sardà, F., Tudela, S., Demestre, M., 2006, Management strategies for red shrimp (Aristeus antennatus) fisheries in the Catalan Sea (NW Mediterranean) based on bioeconomic simulation analysis. Aquat. Living Resour. 19, 161–171. CrossRefGoogle Scholar
Meillat M., Méhault S., Morandeau F., Vacherot J.F., Marc E., 2011, Etude de dispositifs sélectifs – Pêcherie crustacés-poissons du golfe de Gascogne. Ifremer, R.INT.STH/LTH 11-01.
Özbilgin, H., Tosunoglu, Z., Tokac, A. , Metin, G., 2011, Seasonal variation in the trawl codend selectivity of red mullet (Mullus barbatus). Turkish J. Fish.Aquat. Sci. 11, 191–198. Google Scholar
Özbilgin, H., Ferro, RST., Robertson, JHB., Holtrop, G., Kynoch, RJ., 2006, Seasonal variation in trawl cod-end selection of northern North Sea haddock. ICES J. Mar. Sci. 63, 737–748. CrossRefGoogle Scholar
Özbilgin, H., Wardle, CS., 2002, Effect of seasonal temperature changes on the escape behaviour of haddock, Melanogrammus aeglefinus, from the codend. Fish. Res. 58, 323–331. CrossRefGoogle Scholar
Portney P., Weyant J. (Eds.), 1999, Discounting and resources for the future, Washington, DC.
Scott, R., Sampson, D., 2011, The sensitivity of long-term yield targets to changes in fishery age-selectivity. Mar. Policy 35, 79–84. CrossRefGoogle Scholar
Stockhausen, B., Officer, R.A., Scott, R., 2012, Discard mitigation – what we can learn from waste minimization practices in other natural resources? Mar. Policy 36, 90–95. Google Scholar
United Nations, 2002, Report of the World Summit on Sustainable Development, Johannesburg.
Vestergaard, N., 1996, Discard behaviour, highgrading and regulation : the case of the Greenland shrimp fishery. Mar. Resour. Econ. 11, 247–266. CrossRefGoogle Scholar
Weinberg, K.L.Somerton, D.A., Munro, P.T., 2002, The effect of trawl speed on the footrope capture efficicency of a survey trawl. Fish. Res. 58, 303–313. CrossRefGoogle Scholar