Issue
Aquat. Living Resour.
Volume 29, Number 2, April-June 2016
Symposium of the Association Française d'Halieutique (2015)
Article Number 209
Number of page(s) 17
DOI https://doi.org/10.1051/alr/2016020
Published online 07 October 2016
  • Agnew D.J., Nolan C.P., Beddington J.R., Baranowski R., 2000, Approaches to the assessment and management of multispecies skate and ray fisheries using the Falkland Islands fishery as an example. Can. J. Fish. Aquat. Sci. 57, 429–440. [CrossRef] [Google Scholar]
  • Bonfil R., 1994, Overview of world elasmobranch fisheries, FAO fisheries technical paper. FAO, Rome. [Google Scholar]
  • Camhi M., Pikitch E.K., Babcock E.A. (Eds.), 2008, Sharks of the open ocean: biology, fisheries and conservation, Fish and aquatic resources series. Blackwell Science, Oxford, Ames, Iowa. [Google Scholar]
  • Chevolot M., Hoarau G., Rijnsdorp A.D., Stam W.T., Olsen J.L., 2006, Phylogeography and population structure of thornback rays (Raja clavata L., Rajidae). Mol. Ecol. 15, 3693–3705. [PubMed] [Google Scholar]
  • Cope J.M., Thorson J.T., Wetzel C.R., DeVore J., 2015, Evaluating a prior on relative stock status using simplified age-structured models. Fish. Res. 171, 101–109. [Google Scholar]
  • Davidson L.N.K., Krawchuk M.A., Dulvy N.K., 2015, Why have global shark and ray landings declined: improved management or overfishing? Fish Fish. 17, 2, 438–458, June 2016. [CrossRef] [Google Scholar]
  • Dorel D., Cadiou Y., Porcher P., 1998, Poissons, crustacés et mollusques des mers communautaires. Paramètres biologiques et représentations graphiques. [Google Scholar]
  • Du Buit M.H., 1974, Contribution à l’étude des populations de raies du Nord-Ouest Atlantique des Faeroe au Portugal (Sciences Naturelles). Université de Paris VI, Paris. [Google Scholar]
  • Dulvy N.K., Reynolds J.D., 2002, Predicting extinction vulnerability in skates. Conserv. Biol. 16, 440–450. [Google Scholar]
  • Dulvy N.K., Metcalfe J.D., Glanville J., Pawson M.G., Reynolds J.D., 2000, Fishery stability, local extinctions, and shifts in community structure in skates. Conserv. Biol. 14, 283–293. [Google Scholar]
  • Dulvy N.K., Fowler S.L., Musick J.A., Cavanagh R.D., Kyne P.M., Harrison L.R., Carlson J.K., Davidson L.N., Fordham S.V., Francis M.P., Pollock C.M., Simpfendorfer C.A., Burgess G.H., Carpenter K.E., Compagno L.J., Ebert D.A., Gibson C., Heupel M.R., Livingstone S.R., Sanciangco J.C., Stevens J.D., Valenti S., White W.T., 2014, Extinction risk and conservation of the world’s sharks and rays. Elife. eLife.00590 3. [Google Scholar]
  • EC, 2009, COUNCIL REGULATION (EC) No. 43/2009 of 16 January 2009 fixing for 2009 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. [Google Scholar]
  • Ellis J.R., Morel G., Burt G., Bossy S., 2011, Preliminary observations on the life history and movements of skates (Rajidae) around the Island of Jersey, western English Channel. J. Mar. Biol. Assoc. UK 91, 1185–1192. [CrossRef] [Google Scholar]
  • Enever R., Catchpole T.L., Ellis J.R., Grant A., 2009, The survival of skates (Rajidae) caught by demersal trawlers fishing in UK waters. Fish. Res. 97, 72–76. [Google Scholar]
  • Figueiredo I., Moura T., Bordalo-Machado P., Neves A., Rosa C., Serrano Gordo L., 2007, Evidence for temporal changes in ray and skate populations in the Portuguese coast (1998–2003) – its implications in the ecosystem. Aquat. Living Resour. 20, 85–93. [CrossRef] [EDP Sciences] [Google Scholar]
  • Fraser H.M., Greenstreet S.P.R., Piet G.J., 2007, Taking account of catchability in groundfish survey trawls: implications for estimating demersal fish biomass. ICES J. Mar. Sci. 64, 1800–1819. [CrossRef] [Google Scholar]
  • Frisk M.G., Miller T.J., Dulvy N.K., 2005, Life histories and vulnerability to exploitation of elasmobranchs: inferences from elasticity, perturbation and phylogenetic analyses. J. Northwest Atl. Fish. Sci. 35, 27–45. [CrossRef] [Google Scholar]
  • Gelman A., Carlin J.B., Stern H.S., Dunson D.B., 2014, Bayesian data analysis, Chapman & Hall/CRC texts in statistical science. 3rd edn., CRC Press, Boca Raton. [Google Scholar]
  • Geweke J., 1992, Statistics, probability and chaos: comment: inference and prediction in the presence of uncertainty and determinism. Stat. Sci. 7, 94–101. [Google Scholar]
  • Hammond T., Trenkel V., 2005, Censored catch data in fisheries stock assessment. ICES J.Mar. Sci. [Google Scholar]
  • Heessen H.J.L., 2003, Development of elasmobranchs stock assessment DELASS. Final report of DG Fish Study Contract 99/055. [Google Scholar]
  • Hiddink J.G., Johnson A.F., Kingham R., Hinz H., 2011, Could our fisheries be more productive? Indirect negative effects of bottom trawl fisheries on fish condition: Effects of bottom trawls on fish condition. J. App. Ecol. 48, 1441–1449. [CrossRef] [Google Scholar]
  • Hilborn R., Walters C.J., 1992, Quantitative fisheries stock assessment: choice, dynamics, and uncertainty. Chapman and Hall, New York. [Google Scholar]
  • Hoening J.M., Gruber S.H., 1990, Life-history patterns in the elasmobranchs: implications for fisheries management (NOAA Technical Report No. NMFS 90), in Elasmobranchs as Living Resources: Advances in the Biology, Ecology, Systematics, and the Status of the Fisheries. [Google Scholar]
  • Holden M.J., 1972, The growth rates of Raja brachyura, R. clavata and R. montagui as determined from tagging data. ICES J. Mar. Sci. 34, 161–168. [CrossRef] [Google Scholar]
  • Holden M.J., 1975, The fecundity of Raja clavata in British waters. ICES J. Mar. Sci. 36, 110–118. [CrossRef] [Google Scholar]
  • Hunter E., Buckley A.A., Stewart C., Metcalfe J.D., 2005, Migratory behaviour of the thornback ray, Raja clavata, in the southern North Sea. J. Mar. Biol. Assoc. UK 85, 1095. [Google Scholar]
  • ICES, 2014a, Report of the Working Group on Elasmobranchs Fishes (WGEF) (No. ICES CM 2014/ACOM:19). Portugal, ICES, Lisbon. [Google Scholar]
  • ICES, 2014b, Thornback ray – ICES-FishMap. [Google Scholar]
  • ICES, 2015, Report of the Working Group on Elasmobranchs Fishes (WGEF) (No. ICES CM 2015/ACOM:19). Portugal, ICES, Lisbon. [Google Scholar]
  • IUCN, 2005, Malacoraja clavata: Ellis, J.: The IUCN Red List of Threatened Species 2005: e.T39399A10199527. [Google Scholar]
  • Kimura D.K., Tagart J.V., 1982, Stock Reduction Analysis, Another Solution to the Catch Equations. Can. J. Fish. Aquat. Sci. 39, 1467–1472. [CrossRef] [Google Scholar]
  • Kimura D.K., Balsiger J.W., Ito D.H., 1984, Generalized stock reduction analysis. Canadian J. Fish. Aqua. Sci. 41, 1325–1333. [CrossRef] [Google Scholar]
  • Kindsvater, H.K., Mangel, M., Reynolds, J.D., Dulvy, N.K., 2016. Ten principles from evolutionary ecology essential for effective marine conservation. Ecol. Evol. 6, 2125–2138. [CrossRef] [PubMed] [Google Scholar]
  • Letaconnoux R., 1948, Effets de la guerre sur la constitution des stocks de poissons. Rapports et Procès-Verbaux des Réunions du Conseil Permanent International pour l’Exploration de la Mer 122, 55–62. [Google Scholar]
  • Lorance P., Bertrand J.A., Brind’Amour A., Rochet M.-J., Trenkel V.M., 2009, Assessment of impacts from human activities on ecosystem components in the Bay of Biscay in the early 1990s. Aquat. Living Resour. 22, 409–431. [Google Scholar]
  • Lucifora L.O., Garcia V.B., 2004, Gastropod predation on egg cases of skates (Chondrichthyes, Rajidae) in the southwestern Atlantic: quantification and life history implications. Mar. Biol. 145, 917–922. [Google Scholar]
  • Martin C.S., Vaz S., Ellis J.R., Lauria V., Coppin F., Carpentier A., 2012, Modelled distributions of ten demersal elasmobranchs of the eastern English Channel in relation to the environment. J. Exp. Mar. Biol. Ecol. 418-419, 91–103. [Google Scholar]
  • Maurin H., 1994, Inventaire de la faune menacée en France. Muséum national d’Histoire naturelle, Paris. [Google Scholar]
  • Maxwell D.L., Stelzenmüller V., Eastwood P.D., Rogers S.I., 2009, Modelling the spatial distribution of plaice (Pleuronectes platessa ), sole (Solea solea ) and thornback ray (Raja clavata ) in UK waters for marine management and planning. J. Sea Res. 61, 258–267. [CrossRef] [Google Scholar]
  • McAllister M.K., Ianelli J.N., 1997, Bayesian stock assessment using catch-age data and the sampling - importance resampling algorithm. Can. J. Fish. Aqua. Sci. 54, 284–300. [Google Scholar]
  • McAllister M.K., Pikitch E.K., Babcock E.A., 2001, Using demographic methods to construct Bayesian priors for the intrinsic rate of increase in the Schaefer model and implications for stock rebuilding. Can. J. Fish. Aqua. Sci. 58, 1871–1890. [Google Scholar]
  • McCully S.R., Scott F., Ellis J.R., 2012, Lengths at maturity and conversion factors for skates (Rajidae) around the British Isles, with an analysis of data in the literature. ICES J. Mar. Sci. 69, 1812–1822. [CrossRef] [Google Scholar]
  • McCully Phillips S.R., Scott F., Ellis J.R., 2015, Having confidence in productivity susceptibility analyses: A method for underpinning scientific advice on skate stocks? Fish. Res. 171, 87–100. [Google Scholar]
  • Michel S., Vandermeirsch F., Lorance P., 2009, Evolution of upper layer temperature in the Bay of Biscay during the last 40 years. Aquat. Living Resour. 22, 447–461. [CrossRef] [EDP Sciences] [Google Scholar]
  • Ono K., Punt A.E., Rivot E., 2012, Model performance analysis for Bayesian biomass dynamics models using bias, precision and reliability metrics. Fish. Res. 125-126, 173–183. [Google Scholar]
  • Parent E., Rivot E., 2013, Introduction to hierarchical Bayesian modeling for ecological data, Chapman & Hall/CRC applied environmental statistics. CRC Press, Boca Raton. [Google Scholar]
  • Pauly D., Zeller D., 2016, Sea Around Us?: concepts, design and data (seaaroundus.org) Available at: http://www.seaaroundus.org (accessed 2.24.16). [Google Scholar]
  • Plummer M., Best N., Cowles K., Vines K., 2006, CODA: Convergence Diagnosis and Output Analysis for MCMC. R News 6, 7–11. [Google Scholar]
  • Poulard J., Blanchard F., 2005, The impact of climate change on the fish community structure of the eastern continental shelf of the Bay of Biscay. ICES J. Mar. Sci. 62, 1436–1443. [Google Scholar]
  • Poulard J.-C., Trenkel V.M., 2007, Do survey design and wind conditions influence survey indices? Can. J. Fish. Aqua. Sci. 64, 1551–1562. [CrossRef] [Google Scholar]
  • Punt A.E., Hilborn R., 1997, Fisheries stock assessment and decision analysis: the Bayesian approach. Rev. Fish Biol. Fish. 7, 35–63. [Google Scholar]
  • Punt A.E., Su N.-J., Sun C.-L., 2015, Assessing billfish stocks: a review of current methods and some future directions. Fish. Res. 166, 103–118. [Google Scholar]
  • Quéro J.C., Cendrero O., 1996, Incidence de la pêche sur la biodiversité ichtyologique marine. [Google Scholar]
  • Quéro J.C., Guéguen J., 1981, Les raies de la mer celtique et du canal de Bristol. Abondance et distribution. Sci. Pêche. 318, 1–22. [Google Scholar]
  • Quéro J.C., Vayne J.J., 2005, Les poissons de mer des pêches françaises. Delachaux et Niestlé, Paris. [Google Scholar]
  • R Foundation for Statistical Computing, 2008, R Development Core Team (2008). R: A language and environment for statistical computing. Austria, Vienna. [Google Scholar]
  • Robert M., Faraj A., McAllister M.K., Rivot E., 2010, Bayesian state-space modelling of the De Lury depletion model: strengths and limitations of the method, and application to the Moroccan octopus fishery. ICES J. Mar. Sci. 67, 1272–1290. [Google Scholar]
  • Rochet M., Péronnet I., Trenkel V.M., 2002, An analysis of discards from the French trawler fleet in the Celtic Sea. ICES J. Mar. Sci. 59, 538–552. [CrossRef] [Google Scholar]
  • Rumohr H., Kujawski, T., 2000, The impact of trawl fishery on the epifauna of the southern North Sea. ICES J. Mar. Sci. 57, 1389–1394. [CrossRef] [Google Scholar]
  • Serra-Pereira B., Figueiredo I., Gordo L.S., 2011, Maturation, fecundity, and spawning strategy of the thornback ray, Raja clavata: do reproductive characteristics vary regionally? Mar. Biol. 158, 2187–2197. [Google Scholar]
  • Silva J.F., Ellis J.R., Catchpole T.L., 2012, Species composition of skates (Rajidae) in commercial fisheries around the British Isles and their discarding patterns. J. Fish Biol. 80, 1678–1703. [PubMed] [Google Scholar]
  • Steven G.A., 1931, Rays and Skates of Devon and Cornwall. Methods of Rapid Identification on the Fishmarket. J. Mar. Biol. Assoc. UK 17, 367. [Google Scholar]
  • Thomas A., O Hara B., Ligges U., Sturtz S., 2006, Making BUGS Open. R News 12–17. [Google Scholar]
  • Trenkel V.M., Bravington M.V., Lorance P., Walters C., 2012, A random effects population dynamics model based on proportions-at-age and removal data for estimating total mortality. Can. J. Fish. Aquat. Sci. 69, 1881–1893. [CrossRef] [Google Scholar]
  • Walker P., 1997, Distribution, movement and stock structure of three ray species in the North Sea and eastern English Channel. ICES J. Mar. Sci. 54, 797–808. [CrossRef] [Google Scholar]
  • Walker P., Hislop J.R.G., 1998, Sensitive skates or resilient rays? Spatial and temporal shifts in ray species composition in the central and north-western North Sea between 1930 and the present day. ICES J. Mar. Sci. 55, 392–402. [CrossRef] [Google Scholar]
  • Walker T., 1992, Fishery simulation model for sharks applied to the Gummy shark, Mustelus antarcticus Gunther, from Southern Australian waters. Mar. Freshw. Res. 43, 195. [Google Scholar]
  • Whittamore J.M., McCarthy I.D., 2005, The population biology of the thornback ray, Raja clavata in Caernarfon Bay, North Wales. J. Mar. Biol. Assoc. UK 85, 1089. [CrossRef] [Google Scholar]
  • Wiegand J., Hunter E., Dulvy N.K., 2011, Are spatial closures better than size limits for halting the decline of the North Sea thornback ray, Raja clavata? Mar. Freshw. Res. 62, 722. [Google Scholar]

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