Free Access
Aquat. Living Resour.
Volume 23, Number 2, April-June 2010
Page(s) 153 - 165
Published online 19 July 2010
  • Abella A.J., Serena F., 1998, Selettività e vulnerabilità del nasello nella pesca a strascico. Biol. Mar. Medit. 5, 496–504. [Google Scholar]
  • Anonymous, 2002, Stock Assessment in the Mediterranean - SAMED. Final Report EU Project n° 99/047. [Google Scholar]
  • Anonymous, 2006, National Program for Fisheries Data Collection 2002-2006 (ER 1543/2000). Techn. Rep. HCMR. [Google Scholar]
  • Bartolino V., Ottavi A., Colloca F., Ardizzone G.D., Stefansson G., 2008, Bathymetric preferences of juvenile European hake (Merluccius merluccius). ICES J. Mar. Sci. 65, 963–969. [CrossRef] [Google Scholar]
  • Caddy J.F., 2006, The potential use of indicators, reference points and the traffic light convention for managing Black Sea fisheries. In: Lembo G. (ed.). Selected papers presented at the Workshop on biological reference points. Stud. Rev. GFCM-FAO, No. 83. [Google Scholar]
  • Chen S., Watanabe S., 1989, Age dependence of natural mortality coefficient in fish population dynamics. Nippon Suisan Gakkaishi 55, 205–208. [Google Scholar]
  • Cooke J.G., 1999, Improvement of fishery-management advice through simulation testing of harvest algorithms. ICES J. Mar. Sci. 56, 797–810. [CrossRef] [Google Scholar]
  • Cotter J., Petitgas P., Abella A., Apostolaki P., Mesnil B., Politou C.-Y., Rivoirard J., Rochet M.-J., Spedicato M.T., Trenkel V.M., Woillez M., 2009, Towards an ecosystem approach to fisheries management (EAFM) when trawl surveys provide the main source of information. Aquat. Living Resour. 22, 243–254. [CrossRef] [EDP Sciences] [Google Scholar]
  • Cotter J., Mesnil B., Witthames P., Parker-Humphreys M., 2009, Notes on nine biological indicators estimable from trawl surveys with an illustrative assessment for North Sea cod. Aquat. Living Resour. 22, 135–153. [CrossRef] [EDP Sciences] [Google Scholar]
  • de Pontual H., Groison A.L, Piñeiro 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. [CrossRef] [Google Scholar]
  • Fiorentino F., Zamboni A., Relini G., 1998, La selettività della rete a strascico in Merluccius merluccius sulla base delle esperienze riportate in letteratura. Biol. Mar. Medit. 5, 465–474. [Google Scholar]
  • Haddon, M., 2001, Modelling and quantitative methods in fisheries. Chapman & Hall CRC. [Google Scholar]
  • Hilborn R., Mangel M., 1997, The ecological detective: confronting models with data. Princeton University Press. [Google Scholar]
  • ICES, 1991, Report of the working group on fisheries units in sub-areas VII and VIII. Int. Council Explor. Sea C.M. 1991/Assess. 24. [Google Scholar]
  • ICES, 2006, Report of the working group on the assessment of southern shelf stocks of hake, monk and megrim (WGHMM), 9-18 May 2006, Bilbao. ICES CM 2006/ACFM:29. [Google Scholar]
  • Jensen A.L., 1996, Beverton and Holt life history invariants result from optimal trade-off of reproduction and survival. Can. J. Fish. Aquat. Sci. 53, 820–822. [CrossRef] [Google Scholar]
  • Lembo G., Abella A., Fiorentino F., Martino S., Spedicato M.-T., 2009, ALADYM: an age and length-based single species simulator for exploring alternative management strategies. Aquat. Living Resour. 22, 233–241. [CrossRef] [EDP Sciences] [Google Scholar]
  • Levi D., Andreoli M.G., Bonanno A., Fiorentino F., Garofalo G., Mazzola S., Norrito G., Patti B., Pernice G., Ragonese S., Giusto G.B., Rizzo P., 2003, Embedding sea surface temperature anomalies into the stock recruitment relationship of red mullet (Mullus barbatus L. 1758) in the Strait of Sicily. Sci. Mar. 67, 259–268. [Google Scholar]
  • Lleonart J., Maynou F., 2003, Fish stock assessments in the Mediterranean: state of the art. Sci. Mar. 67, 37–49. [Google Scholar]
  • Mace P.M., 1994, Relationships between common biological reference points used as threshold and targets of fisheries management strategies. Can. J. Fish. Aquat. Sc. 51, 110–122. [CrossRef] [Google Scholar]
  • Mace P.M., Sissenwine M.P., 1993, How much spawning per recruit is enough? In: Smith S.J., Hunt J.J., Revered D. (eds.) Risk evaluation and biological reference points for fisheries management. Can. Spec. Publ. Fish. Aquat. Sci. 120, 101–118. [Google Scholar]
  • Martin I., 1991, A preliminary analysis of some biological aspects of hake (Merluccius merluccius L. 1758) in the Bay of Biscay. ICES CM 1991/G:54. [Google Scholar]
  • Maunder M.N., Harley S., Hampton J., 2006, Including parameter uncertainty in forward projections of computationally intensive statistical population dynamic models. ICES J. Mar. Sci. 63, 969–979. [Google Scholar]
  • Merino G., Karlou-Riga C., Anastopoulou I., Maynou F., Lleonart J., 2007, Bioeconomic simulation analysis of hake and red mullet fisheries in the Gulf of Saronikos (Greece). Sci. Mar. 71, 525–535. [Google Scholar]
  • Murua H., Motos L., 2006, Reproductive strategy and spawning activity of the European hake Merluccius merluccius (L.) in the Bay of Biscay. J. Fish Biol. 69, 1288–1303. [CrossRef] [Google Scholar]
  • Murua H., Lucio P., Santurtún M., Motos L., 2006, Seasonal variation in egg production and batch fecundity of European hake Merluccius merluccius (L.) in the Bay of Biscay. J. Fish Biol. 69, 1304–1316. [CrossRef] [Google Scholar]
  • NRC, 1998, Improving fish stock assessments. Washington DC, National Academy Press. [Google Scholar]
  • Papaconstantinou C., Stergiou K., 1995, Biology and fisheries of eastern Mediterranean hake (M. merluccius). In: Alheit J., Pitcher T.J. (eds.) Hake: Biology, fisheries and markets. Chapman & Hall, London, pp. 149–180. [Google Scholar]
  • Papaconstantinou C., Petrakis G., Caragitsou E., Labropoulou M., Karkani M., Vassilopoulou V., Mytilineou Ch., Lefkaditou E., Siapatis A., Kavadas S., Chatzinikolaou P., Anastassopoulou A., Kapiris K., Terrats A., Dogrammatzi A., Bekas P., Christidis G., Fourtouni A., 1998, Development of the Greek fisheries. Assessment of the demersal fisheries resources of commercial interest in the S. Aegean Sea. Techn. Rep. NCMR. [Google Scholar]
  • Petitgas P., Poulard J.-C., Radtke K., Spedicato M.-T., Ibaibarriaga L., Politou C.-Y., Korsbrekke K., Deernberg C., Fernandes P., 2007, Comprehensive indicator-based diagnostics of fish stocks using fishery-independent survey data: the FISBOAT Rep. ICES CM 2007/O. [Google Scholar]
  • Punt A.E., 2003, Managing West Coast groundfish resources through simulations. Fish. Bull. 101, 860–873. [Google Scholar]
  • Rochet M.-J., Rice, J.C., 2009, Simulation-based management strategy evaluation: ignorance disguised as mathematics? ICES J. Mar. Sci. 66, 754–762. [CrossRef] [Google Scholar]
  • Rochet M.-J., Trenkel V.M., 2009, Why and how could indicators be used in an Ecosystem Approach to Fisheries Management? In: Beamish R.J., Rothschild B.J. (eds.), The future of fisheries science in North America, Fish & Fisheries Series, Springer, pp. 209–226. [Google Scholar]
  • Sparre P., Venema S.C., 1998, Introduction to tropical fish stock assessment. Part 1, manual. FAO Fish. Techn. Pap. 306 Rev. 2. [Google Scholar]
  • Spedicato M.T., Carbonara P., Rinelli P., Silecchia T., Lembo G., 2006, Biological reference points based on spawning stock biomass levels: the case of red mullet (Mullus barbatus L., 1758). Biol. Mar. Medit. 13, 112–123. [Google Scholar]
  • Tserpes G., Fiorentino F., Levi D., Cau A., Murenu M., Zamboni A., Papaconstantinou C., 2002, Distribution of Mullus barbatus and M. surmuletus (Osteichthyes: Perciformes) in the Mediterranean continental shelf: implications for management. In: Abelló P., Bertrand J.A., Gil de Sola L., Papaconstantinou C., Relini G., Souplet A. (eds.) Mediterranean marine demersal resources: the MEDITS International Trawl Survey (1994-1999). Sci. Mar. 66 (Suppl. 2) 39–54. [Google Scholar]
  • Tserpes G., Haralabous J., Maravelias C., 2007, A non-equilibrium surplus production model approach using Medits data. GFCM-SAC-Sub-Committee Stock Assessment. Workshop on trawl survey based monitoring fishery system in the Mediterranean, Rome 26-28 March 2007. [Google Scholar]
  • Thompson W.F., Bell F.H., 1934, Biological statistics of the Pacific halibut fishery. 2. Effect of changes in intensity upon total yield and yield per unit of gear. Rep. Int. Fish. (Pacific Halibut) Comm. 8. [Google Scholar]
  • Wang S.P., Maunder M.N., Aires-da-Silva A., 2009, Implications of model and data assumptions: An illustration including data for the Taiwanese long-line fishery into the eastern Pacific Ocean bigeye tuna (Thunnus obesus) stock assessment. Fish. Res. 97, 118–126. [CrossRef] [Google Scholar]

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