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Landing profiles and typologies of flatfish fisheries on the Portuguese coast

Published online by Cambridge University Press:  18 July 2011

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Abstract

Flatfishes represent an important resource in Portuguese fisheries. Although flatfish landings represent a low percentage of total fish weight landed, their importance is higher when commercial value is considered (11%). Official data on flatfish landings from 1992 to 2005 for all landing ports in Portugal were analysed, together with vessel characteristics, in order to detect patterns in flatfish fisheries. Fleet characteristics were heterogeneous, but most of the vessels were multi-gear. Three landing profiles were identified in the flatfish fishery, and the target species of these métiers showed variation in space and in time. Small vessels caught species that occur in coastal areas, mainly soles, bastard sole, flounder, turbot and brill, and usually also presented high landings of octopuses, cuttlefish and rays. Megrims and spotted flounder were caught with others species, like small pelagic fishes and seabreams by coastal trawlers. For this fleet component, catches of flatfish were usually bycatch. Generalized Linear Models (GLM) were used to analyse flatfish landings (LPUE, landings per unit effort and landings in terms of value) between 1992 and 2005 and to evaluate their relationships with several variables. The main effects in the models included year, month, landing port, vessel length class and total landings (kg). The models explained between 15% and 60% of the variability of the LPUE, and 46% to 82% of the variability of landing value, for the flatfish groups considered, with the most important factors being landing port, vessel length class, month, total landing (kg) and landing port: vessel length interaction. These results suggest high spatial and temporal variability. The results of this study may have implications for fishery management, because the LPUE was highest during the important periods of flatfish life cycles, like the spawning season. This fishing pattern has a negative impact on the stocks because of increased fishing pressure during a sensitive period for these species. The adoption of spatial and temporal closures should be implemented.

Type
Research Article
Copyright
© EDP Sciences, IFREMER, IRD 2011

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Footnotes

Supplementary tables are available in electronic form at http://www.alr-journal.org

References

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, 2640. CrossRefGoogle 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, 167177. CrossRefGoogle 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.
Biseau, A., 1998, Definition of a directed fishing effort in a mixedspecies trawl fishery, and its impact on stock assessments. Aquat. Living Resour. 11, 119136. CrossRefGoogle Scholar
Briggs J.C., 1974, Marine zoogeography. McGraw-Hill, London.
Campos, A., Fonseca, P., Fonseca, T., Parente, J., 2007, Definition of fleet components in the Portuguese bottom trawl. Fish. Res. 83, 185191. CrossRefGoogle Scholar
Chambers J.M., Hastie T.J., 1992, Statistical Models. Chapman and Hall, New York.
Christensen, A.S., Raakjær, J., 2006, Fishermen’s tactical and strategic decisions: a case study of Danish demersal fisheries. Fish. Res. 81, 258267. CrossRefGoogle 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, 359369. CrossRefGoogle 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.
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.
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, 594606. CrossRefGoogle Scholar
Ekman S., 1953, Zoogeography of the sea. Sidgwick and Jackson, London.
FAO 1999, Indicators for sustainable development of marine capture fisheries. FAO Technical Guidelines for Responsible Fisheries, Rome, No. 8.
Firth, D., 1988, Multiplicative errors: Log-normal or Gamma? J. R. Stat. Soc. Ser. B Stat. Methodol. 50, 266268. Google Scholar
Garcia, S.N., Staples, D.J., 2000, Sustainability indicators in marine capture species: introduction to the species issue. Mar. Freshw. Res. 51, 381384. 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, 226238. CrossRefGoogle 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, 291302. CrossRefGoogle Scholar
Hilborn, R., 1985, Fleet dynamics and individual variation: why some people catch more fish than others. Can. J. Fish. Aquat. Sci. 42, 213. CrossRefGoogle 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, 822831. CrossRefGoogle Scholar
Houghton, R.G., 1977, The fishing power of trawlers in the western English channel between 1965 and 1968. ICES J. Mar. Sci. 37, 130136. CrossRefGoogle 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, 195206. CrossRefGoogle 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, 6576. CrossRefGoogle 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, 12321242. CrossRefGoogle 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, 7183. CrossRefGoogle 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, 192209. Google Scholar
Maunder, M.N., Punt, A.E., 2004, Standardizing catch and effort data: a review of recent approaches. Fish. Res. 70, 141159. CrossRefGoogle 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, 257269. CrossRefGoogle Scholar
McCullagh P., Nelder J.A., 1989, Generalized Linear Models, 2nd edn., Chapman and Hall, London.
Munroe T.A., 2005, Distributions and biogeography. In Gibson R.N. (Eds.). Flatfishes Biology and Exploitation, Blackwell Publishing, Oxford, pp. 43–67.
Myers, R.A., Pepin, P., 1990, The robustness of lognormal based estimators of abundance. Biometrics 46, 11851192. CrossRefGoogle 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.
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.
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.
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, 8198. CrossRefGoogle Scholar
Pennington, M., 1991, On testing the robustness of lognormal based estimators. Biometrics 47, 16231624. 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, 1536. CrossRefGoogle Scholar
Piniella, F., Soriguer, M.C., Fernández-Engo, M.A., 2007, Artisanal fishing in Andalusia: A statistical study of the fleet. Mar. Policy 31, 573581. CrossRefGoogle 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.
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
Rice, J., Cooper, J.A., 2003, Management of flatfish fisheries – what factors matter? J. Sea Res. 50, 227243. CrossRefGoogle 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, 556566. CrossRefGoogle 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, 114125. CrossRefGoogle 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, 319327. CrossRefGoogle 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, 117128. CrossRefGoogle Scholar
Sousa, P., Azevedo, M., Gomes, M.C., 2005, Demersal assemblages off Portugal: mapping, seasonal, and temporal patterns. Fish. Res. 75, 120137. CrossRefGoogle Scholar
Stefánsson, G., 1996, Analysis of groundfish survey abundance data: combining the GLM and delta approaches. ICES J. Mar. Sci. 53, 577588. CrossRefGoogle Scholar
Taylor, T.G., Prochaska, F.J., 1985, Fishing power functions in agregate bioeconomics models. Mar. Resour. Econ. 2, 87107. CrossRefGoogle Scholar
Teixeira, C.M., Cabral, H.N., 2009, Time series analysis of flatfish landings in the Portuguese coast. Fish. Res. 96, 252258. CrossRefGoogle Scholar
ter Braak C.J.F., Smilauer P., 2002, Canoco for Windows Version 4.5. Biometris – Plant Research International, Wageningen.
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, 147158. CrossRefGoogle 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, 158168. CrossRefGoogle 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, 151168. CrossRefGoogle Scholar
Ward, J.H., 1963, Hierarchical grouping to optimize an objective function. J. Am. Stat. Assoc. 58, 236244. CrossRefGoogle 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.
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