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All issues Volume 24 / No 2 (April-June 2011) Aquat. Living Resour., 24 2 (2011) 169-182 References
Free Access
Issue
Aquat. Living Resour.
Volume 24, Number 2, April-June 2011
Page(s) 169 - 182
Section Regular articles
DOI https://doi.org/10.1051/alr/2011134
Published online 18 July 2011
  • Andersen B.S., Vermard Y., Ulrich C., Hutton T., Poos J.J., 2010, Challenges in integrating short-term behaviour in a mixed-fishery Management Strategies Evaluation frame: A case study of the North Sea flatfish fishery. Fish. Res. 102, 26–40. [CrossRef] [Google Scholar]
  • Batista M.I., Teixeira C.M., Cabral H.N., 2009, Catches of target species and bycatches of an artisanal fishery: the case of a trammel net fishery in the Portuguese coast. Fish. Res. 100, 167–177. [CrossRef] [Google Scholar]
  • Biseau A., 1991, Relationships between fishing powers and some vessels characteristics commonly used to estimate “fishing capacity”. Example of the Celtic sea French fleets. ICES CM 1991/B: 25. [Google Scholar]
  • Biseau A., 1998, Definition of a directed fishing effort in a mixedspecies trawl fishery, and its impact on stock assessments. Aquat. Living Resour. 11, 119–136. [CrossRef] [EDP Sciences] [Google Scholar]
  • Briggs J.C., 1974, Marine zoogeography. McGraw-Hill, London. [Google Scholar]
  • Campos A., Fonseca P., Fonseca T., Parente J., 2007, Definition of fleet components in the Portuguese bottom trawl. Fish. Res. 83, 185–191. [CrossRef] [Google Scholar]
  • Chambers J.M., Hastie T.J., 1992, Statistical Models. Chapman and Hall, New York. [Google Scholar]
  • Christensen A.S., Raakjær, J., 2006, Fishermen’s tactical and strategic decisions: a case study of Danish demersal fisheries. Fish. Res. 81, 258–267. [CrossRef] [Google Scholar]
  • Colloca, F.,Crespi V., Cerasi S., Coppola S.R., 2004, Structure and evolution of the artisanal fishery in the southern Italian coastal area. Fish. Res. 69, 359–369. [CrossRef] [Google Scholar]
  • Commission of the European Communities (COM), 2003, Proposal for a establishing measures for the recovery of the sole stocks in the western channel and the bay of Biscay, Brussels. [Google Scholar]
  • Cunha M.E., 2001, Physical control of biological processes in a coastal upwelling system: comparison of the effects of coastal topography, river run-off and physical oceanography in the northern and southern parts of the western Portuguese coastal waters. Ph.D. thesis, Faculty of Sciences, University of Lisbon. [Google Scholar]
  • Duarte R., Azevedo M., Afonso-Dias M., 2009, Segmentation and fishery characteristics of the mixed-species multi-gear Portuguese fleet. ICES J. Mar. Sci. 66, 594–606. [Google Scholar]
  • Ekman S., 1953, Zoogeography of the sea. Sidgwick and Jackson, London. [Google Scholar]
  • FAO 1999, Indicators for sustainable development of marine capture fisheries. FAO Technical Guidelines for Responsible Fisheries, Rome, No. 8. [Google Scholar]
  • Firth D., 1988, Multiplicative errors: Log-normal or Gamma? J. R. Stat. Soc. Ser. B Stat. Methodol. 50, 266–268. [Google Scholar]
  • Garcia S.N., Staples D.J., 2000, Sustainability indicators in marine capture species: introduction to the species issue. Mar. Freshw. Res. 51, 381–384. [CrossRef] [Google Scholar]
  • García-Rodríguez M., Fernández Á.M., Esteban A., 2006, Characterisation, analysis and catch rates of the small-scale fisheries of the Alicante Gulf (Spain) over a 10 years time series. Fish. Res. 77, 226–238. [CrossRef] [MathSciNet] [Google Scholar]
  • Goñi R., Álvarez F., Alderstein S., 1999, Application of generalized linear modeling to catch rate analysis of western Mediterranean: the Castellón trawl fleet as a case study. Fish. Res. 42, 291–302. [CrossRef] [Google Scholar]
  • Hilborn R., 1985, Fleet dynamics and individual variation: why some people catch more fish than others. Can. J. Fish. Aquat. Sci. 42, 2–13. [CrossRef] [Google Scholar]
  • Hoff A., Frost H., 2008, Modelling combined harvest and effort regulations: the case of the Dutch beam trawl fishery for plaice and sole in the North Sea. ICES J. Mar. Sci. 65, 822–831. [CrossRef] [Google Scholar]
  • Houghton R.G., 1977, The fishing power of trawlers in the western English channel between 1965 and 1968. ICES J. Mar. Sci. 37, 130–136. [CrossRef] [Google Scholar]
  • Jiménez M.P., Sobrino I., Ramos F., 2004, Objective methods for defining mixed-species trawl fisheries in Spanish waters of the Gulf of Cádiz. Fish. Res. 67, 195–206. [CrossRef] [Google Scholar]
  • Katsanevakis S., Maravelias C.D., Vassilopoulou V., Haralabous J., 2010, Boat seines in Greece: Landings profiles and identification of potential métiers. Sci. Mar. 74, 65–76. [CrossRef] [Google Scholar]
  • LePape O., Vigneau J., 2001, The influence of vessel size and fishing strategy on the fishing effort for multispecies fisheries in northwestern France. ICES J. Mar. Sci. 58, 1232–1242. [CrossRef] [Google Scholar]
  • Mahévas S., Sandon Y., Biseau A., 2004, Quantification of annual variations in fishing power due to vessel characteristics: an application to the bottom-trawlers of South-Brittany targeting anglerfish (Lophius budegassa and Lophius piscatorius). ICES J. Mar. Sci. 61, 71–83. [CrossRef] [Google Scholar]
  • Marchal P.,Andersen B.,Caillart B.,Eigaard O., Guyader O.,Hovgaard H.,Iriondo A., Le Fur F., Sacchi J., Santurtún M., 2007, Impact of technological creep on fishing effort and fishing mortality, for a selection of European fleets. ICES J. Mar. Sci. 64, 192–209. [Google Scholar]
  • Maunder M.N., Punt A.E., 2004, Standardizing catch and effort data: a review of recent approaches. Fish. Res. 70, 141–159. [Google Scholar]
  • Maynou F., Demestre M., Sánchez P., 2003, Analysis of catch per unit effort by multivariate analysis and generalised linear models for deep-water crustacean fisheries off Barcelona (NW Mediterranean). Fish. Res. 65, 257–269. [CrossRef] [Google Scholar]
  • McCullagh P., Nelder J.A., 1989, Generalized Linear Models, 2nd edn., Chapman and Hall, London. [Google Scholar]
  • Munroe T.A., 2005, Distributions and biogeography. In Gibson R.N. (Eds.). Flatfishes Biology and Exploitation, Blackwell Publishing, Oxford, pp. 43–67. [Google Scholar]
  • Myers R.A., Pepin P., 1990, The robustness of lognormal based estimators of abundance. Biometrics 46, 1185–1192. [CrossRef] [Google Scholar]
  • Nielsen J., 1986a, Scophthalmidae. In: Whitehead P.J.P., Bauchot M.L., Hureau J.C., Nielsen J., Tortonese E. (Eds.). Fishes of the North-eastern Atlantic and Mediterranean, UNESCO, Paris, Vol. III, pp. 1287–1293. [Google Scholar]
  • Nielsen J., 1986b, Pleuronectidae. In: Whitehead P.J.P., Bauchot M.L., Hureau J.C., Nielsen J., Tortonese E. (Eds.). Fishes of the North-eastern Atlantic and Mediterranean, UNESCO, Paris, Vol. III, pp. 1299–1307. [Google Scholar]
  • Nielsen J., 1986c, Citharidae. In: Whitehead P.J.P., Bauchot M.L., Hureau J.C., Nielsen J., Tortonese E. (Eds.). Fishes of the North-eastern Atlantic and Mediterranean, UNESCO, Paris, Vol. III, pp. 1286. [Google Scholar]
  • Pech N., Samba A., Drapeau L., Sabatier R., Laloë F., 2001, Fitting a model of flexible multifleet–multispecies fisheries to Senegalese artisanal fishery data. Aquat. Living Resour. 14, 81–98. [CrossRef] [EDP Sciences] [Google Scholar]
  • Pennington M., 1991, On testing the robustness of lognormal based estimators. Biometrics 47, 1623–1624. [Google Scholar]
  • Pet-Soede C., Van Densen W.L.T., Hiddink J.G., Kuyl S., Machiels M.A.M., 2001, Can fishermen allocate their fishing effort in space and time on the basis of their catch rates? An example from Spermonde Archipelago, SW Sulawesi, Indonesia. Fish. Manage. Ecol. 8, 15–36. [CrossRef] [Google Scholar]
  • Piniella F., Soriguer M.C., Fernández-Engo M.A., 2007, Artisanal fishing in Andalusia: A statistical study of the fleet. Mar. Policy 31, 573–581. [CrossRef] [Google Scholar]
  • Quéro J.C., Desoutter M., Lagardère F., 1986, Soleidae. In: Whitehead P.J.P., Bauchot M.L., Hureau J.C., Nielsen J., Tortonese E. (Eds.). Fishes of the North-eastern Atlantic and Mediterranean, UNESCO, Vol. III, pp. 1308–1328. [Google Scholar]
  • R Development Core Team, 2005, R: A language and environment for statistical 609 computing. R Foundation for Statistical Computing, Vienna, Austria, ISBN 610 3-900051-07-0, URL http:www.R-project.org [Google Scholar]
  • Rice J., Cooper J.A., 2003, Management of flatfish fisheries – what factors matter? J. Sea Res. 50, 227–243. [Google Scholar]
  • Rijnsdorp A.D., Daan N., Dekker W., 2006, Partial fishing mortality per fishing trip: a useful indicator of effective fishing effort in mixed demersal fisheries. ICES J. Mar. Sci. 63, 556–566. [CrossRef] [Google Scholar]
  • Rijnsdorp A.D., Daan N., Dekker W., Poos J.J., Van Densen W.L.T., 2007, Sustainable use of flatfish resources: Addressing the credibility crisis in mixed fisheries management. J. Sea Res. 57, 114–125. [CrossRef] [Google Scholar]
  • Sánchez P.,Maynou F,Demestre M., 2004, Modelling catch, effort and price in a juvenile Eledone cirrhosa fishery over a 10-year period. Fish. Res. 68, 319–327. [CrossRef] [Google Scholar]
  • Silva L., Gil J., Sobrino I., 2002, Definition of fleet components in the Spanish artisanal fishery of the Gulf of Cadiz (SW Spain ICES division IXa). Fish. Res. 59, 117–128. [CrossRef] [Google Scholar]
  • Sousa P., Azevedo M., Gomes M.C., 2005, Demersal assemblages off Portugal: mapping, seasonal, and temporal patterns. Fish. Res. 75, 120–137. [CrossRef] [Google Scholar]
  • Stefánsson G., 1996, Analysis of groundfish survey abundance data: combining the GLM and delta approaches. ICES J. Mar. Sci. 53, 577–588. [Google Scholar]
  • Taylor T.G., Prochaska F.J., 1985, Fishing power functions in agregate bioeconomics models. Mar. Resour. Econ. 2, 87–107. [Google Scholar]
  • Teixeira C.M., Cabral H.N., 2009, Time series analysis of flatfish landings in the Portuguese coast. Fish. Res. 96, 252–258. [CrossRef] [Google Scholar]
  • ter Braak C.J.F., Smilauer P., 2002, Canoco for Windows Version 4.5. Biometris – Plant Research International, Wageningen. [Google Scholar]
  • Tzanatos E., Dimitriou E., Katselis G., Georgiadis M., Koutsikopoulos C., 2005, Composition, temporal dynamics and regional characteristics of small-scale fisheries in Greece. Fish. Res. 73, 147–158. [CrossRef] [Google Scholar]
  • Tzanatos E., Somarakis S., Tserpes G., Koutsikopoulos C., 2006, Identifying and classifying small-scale fisheries métiers in the Mediterranean: A case study in the Patraikos Gulf, Greece. Fish. Res. 81, 158–168. [CrossRef] [Google Scholar]
  • Ye Y., Al-Husaini M., Al-Baz A., 2001, Use of generalized linear models to analyze catch rates having zero values: the Kuwait driftnet fishery. Fish. Res. 53, 151–168. [CrossRef] [Google Scholar]
  • Ward J.H., 1963, Hierarchical grouping to optimize an objective function. J. Am. Stat. Assoc. 58, 236–244. [CrossRef] [Google Scholar]
  • Wilde de J.W., 2003, The 2001 North Sea Cod recovery measures: economic consequences for the Dutch fishing fleet. Proc. 15th Annual Conference EAFE -European Association of Fisheries, Economists. Brest, 15-16 May 2003. IFREMER, Brest, France, No. 37. [Google Scholar]

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