Free Access
Aquat. Living Resour.
Volume 23, Number 1, January-March 2010
Page(s) 65 - 75
Section Thematic section
Published online 17 March 2010
  • Acha E.M., Mianzan H.W., Guerrero R.A., Favero M., Bava J., 2004, Marine fronts at the continental shelves of austral South America physical and ecological processes. J. Mar. Syst. 44, 83–105. [CrossRef]
  • Benito Garzón M., Blazek R., Neteler M., Sánchez de Dios R., Sainz Ollero H., Furlanello C., 2006, Machine learning models for predicting species habitat suitability: an example with Pinus sylvestris L. for the Iberian peninsula. Ecol. Model. 197, 383–393. [CrossRef]
  • Bolten A.B, Bjorndal K.A., Martins H.R., Dellinger T., Biscoito M.J., Encalada S.E., Bowen B.W., 1998, Transatlantic developmental migrations of loggerhead sea turtles demonstrated by mtDNA sequence analysis. Ecol. Appl. 8, 1–7. [CrossRef]
  • Breiman L., Friedman J.H., Olshen R.A., Stone C.J., 1984, Classification and Regression Trees. Chapman and Hall. New York.
  • Bugoni L., Mancini P.L., Monteiro D.S., Nascimento L., Neves T.S., 2008, Seabird bycatch in the Brazilian pelagic longline fishery and a review of capture rates in the southwestern Atlantic Ocean. Endang. Species Res. 5, 137–147. [CrossRef]
  • Caraccio M.N., Domingo A., Márquez A., Naro-Maciel E., Miller P., Pereira A., 2008, Las aguas del Atlántico Sudoccidental y su importancia en el ciclo de vida de la tortuga cabezona (Caretta caretta): evidencias a través del análisis del adnmt. SCRS/2007/124 Col. Vol. Sci. Pap. ICCAT, 62, 1831–1837.
  • Chaloupka M.Y., Limpus C.J., 2001, Trends in the abundance of sea turtles resident in southern Great Barrier Reef waters. Biol. Conserv. 102, 235–249. [CrossRef]
  • Chaloupka M., Dutton P., Nakano H., 2004, Status of sea turtle stocks in the Pacific. FAO Fish. Rep. R738 Suppl.
  • Cooke J.G., 1997, A procedure for using catch-effort indices in bluefin tuna assessments. SCRS/96/062 Col. Vol. Sci. Pap. ICCAT , 46, 228–232.
  • Cooke S.J., Suski, C.D., 2004, Are circle hooks an effective tool for conserving marine and freshwater recreational catch-and-release fisheries? Aquatic Conserv: Mar. Freshw. Ecosyst. 14, 299–326. [CrossRef]
  • Crouse D. T.,Crowder, L. B., Caswell, H., 1987, A stage.based population model for loggerhead sea turtles and implications for conservation. Ecology 68, 1412–1423. [CrossRef]
  • De'ath G., Fabricius K.E., 2000, Classification and regression trees: a powerful yet simple technique for ecological data analysis. Ecology 81, 3178–3192. [CrossRef]
  • Domingo A., Menni R.C., Forselledo R., 2005, Bycatch of the pelagic ray Dasyatis violacea in Uruguayan longline fisheries and aspects of distribution in the southwestern Atlantic. Sci. Mar. 69, 161–166.
  • Domingo A., L. Bugoni, Prosdocimi L., Miller P., Laporta M., Monteiro D.S., Estrades A., Albareda D., 2006, El impacto generado por las pesquerías en las tortugas marinas en el Océano Atlántico sud occidental. WWF Programa Marino para Latinoamérica y el Caribe, San José, Costa Rica.
  • Domingo A., Mora O., Pons M., Miller P., Pereyra G., 2007, Análisis de la CPUE y la composición de tallas de pez espada (Xiphias gladius), capturado por la flota uruguaya (2001-2005) en el Atlántico SW. SCRS/2006/118 Col. Vol. Sci. Pap. ICCAT 60, 1953-1963.
  • Domingo A., Barceló, C., Swimmer, Y., Pons, M., Miller, P., 2009, Anzuelos circulares vs. Anzuelos “J” en la flota palangrera uruguaya. SCRS/08/035 Col. Vol. Sci. Pap. ICCAT.
  • Gardner B., Sullivan P.J., Epperly S., Morreale S.J., 2008a, Hierarchical modeling of bycatch rates of sea turtles in the western North Atlantic. Endang Species Res. 5, 279–289. [CrossRef]
  • Gardner B., Sullivan P.J., Morreale S.J., Epperly S., 2008b, Spatial and temporal statistical analysis of bycatch data: patterns of sea turtle bycatch in the North Atlantic. Can. J. Fish. Aquat. Sci. 65, 2461–2470. [CrossRef]
  • Giffoni B., Domingo A., Sales G., Niemeyer-Fiedler F., Miller P., 2008, Interacción de tortugas marinas (Caretta caretta y Dermochelys coriacea) con la pesca de palangre pelágico en el atlántico sudoccidental: una perspectiva regional para la conservación. SCRS/2007/168 Col. Vol. Sci. Pap. ICCAT, 62, 1861–1870.
  • Hazin F.H.V., Zagaglia J.R., Broadhurst M.K., Travassos P.E.P., Bezerra T.R.Q., 1998, Review of a small-scale pelagic longline fishery off northeastern Brazil. Mar. Fish. Rev. 60, 1–8.
  • Heppell S.S. Crowder L.B., Menzel T.R., 1999, Life table analysis of long-lived marine species with implications for conservation and management. In: Musick J.A. (Ed.). Life in the slow lane: ecology and conservation of long-lived marine animals. Am. Fish. Soc. Symp. 23. Bethesda MD, pp. 137–148.
  • Hilborn R., Walters C.J., 1992, Quantitative fisheries stock assessment: choice: dynamics and uncertainty. New York Chapman & Hall.
  • IUCN, 2008, List of threatened species. A global species assessment. Available at []
  • Jiménez S., Domingo A., Brazeiro A., 2009, Seabird bycatch in the Southwest Atlantic: interaction with the Uruguayan pelagic longline fishery. Polar Biol. 32, 187–196. [CrossRef]
  • Kamezaki N., Matsuzawa Y., Abe O., Asakawa H., Fujii T., 2003, Loggerhead turtle nesting in Japan. In: Bolten, A.B., Witherington, B.E. (Eds.), Loggerhead sea turtles. Washington DC, Smithsonian Books, pp. 210–217.
  • Kotas J.E., Dos Santos S., De Azevedo V.G., Gallo B.M.G., Barata. P.C.R., 2003, Incidental capture of loggerhead (Caretta caretta) and leatherback (Dermochelys coriacea) sea turtles by the pelagic longline fishery off southern Brazil. Fish. Bull. 102, 393–399.
  • Lambert D., 1992, Zero-Inflated Poisson regression models with an application to defects in manufacturing, Technometrics 34, 1–14.
  • Lewison R.L., Freeman S.A., Crowder L.B., 2004, Quantifying the effects of fisheries on threatened species: the impact of pelagic longlines on loggerhead and leatherback sea turtles. Ecol. Lett. 7, 221–231. [CrossRef]
  • Lewison R.L, Crowder, L.B., 2007, Putting longline bycatch of sea turtles into perspective. Conserv. Biol. 21, 79–86. [CrossRef] [PubMed]
  • Limpus C.J., Limpus, D.J., 2003, Loggerhead turtles in the Equatorial and Southern Pacific Ocean: A species in decline. In: Bolten A.B., Witherington B.E. (Eds.). Loggerhead sea turtles. Washington DC, Smithsonian Books. pp. 199–209.
  • Littell R.C., Milliken, G.A., Stroup, W.W., Wolfinger, R.D., 1996, SAS® System for Mixed Models. SAS Institute Inc., Cary NC.
  • Lo N.C., Jacobson L.D., Squire J.L., 1992, Indices of relative abundance from fish spotter data based on delta-lognormal models. Can. J. Fish. Aquat. Sci. 49, 2515–2526. [CrossRef]
  • López-Mendilaharsu M., Sales G., Giffoni B., Miller P., Niemeyer Fiedler F., Domingo A., 2007, Distribución y composición de tallas de las tortugas marinas (Caretta caretta y Dermochelys coriacea) que interactúan con el palangre pelágico en el Atlántico Sur. SCRS/06/134. Col. Vol. Sci. Pap. ICCAT. 60, 2094–2109.
  • Maunder M.N., Punt A.E., 2004, Standardizing catch and effort data: a review of recent approaches. Fish. Res. 70, 141–159. [CrossRef]
  • McCracken M.L., 2004, Modeling a very rare event to estimate sea turtle bycatch: lessons learned. US Dep. Commerce, NOAA Tech. Memo., NOAA-TM-NMFSPIFSC-3.
  • McCullagh P., Nelder J.A., 1989, Generalized Linear Models. Second Ed. Chapman & Hall, London.
  • Ortiz M., Arocha F., 2004, Alternative error distribution models for standardization of catch rates of non-target species from a pelagic longline fishery: billfish species in the Venezuelan tuna longline fishery. Fish. Res. 70, 275–297. [CrossRef]
  • Pennington M., 1996, Estimating the mean and variance from highly skewed marine data. Fish. Bull. 94, 498–505.
  • Pinedo M.C., Polacheck T., 2004, Sea turtle by-catch in pelagic longline sets off southern Brazil. Biol. Conserv. 119, 335–339. [CrossRef]
  • Pinheiro J.C., Bates D.M., 2000, Mixed-Effects Models in S and S-Plus. Springer-Verlag, New York.
  • Piovano S., Swimmer Y., Giacoma C., 2009, Are circle hooks effective in reducing incidental captures of loggerhead sea turtles in a Mediterranean longline fishery? Aquat. Conserv. Mar. Freshw. Ecosyst. 19, 779–785. [CrossRef]
  • R Development Core Team, 2007, R: a language and environment for statistical computing. R Foundation for statistical computing, Vienna. Available at:
  • Reis E.C., Soares L.S., Vargas S.M., Santos F.R., Young R.J., Bjorndal K.A., Bolten A.B., Lôbo-Hajdu G., 2009, Genetic composition, population structure and phylogeography of the loggerhead sea turtle: colonization hypothesis for the Brazilian rookeries. Conserv. Genet.
  • Sales G., Giffoni B., Barata P., 2008, Incidental catch of sea turtles by the Brazilian pelagic longline fishery. J. Mar. Biol. Assoc. UK 88, 853–864.
  • Shono H., 2008, Application of the Tweedie distribution to zero-catch data in CPUE analysis. Fish. Res. 93, 154–162. [CrossRef]
  • Spotila J.R., Reina R.R., Steyermark A.C., Plotkin P.T., Paladino F.V., 2000, Pacific leatherback turtles face extinction. Nature 405, 529-530. [CrossRef] [PubMed]
  • SPREP, 2001, A review of turtle bycatch in the western and central Pacific Ocean tuna fisheries. A report prepared for the South Pacific Regional Environment Programme (SPREP) by the Oceanic Fisheries Programme, Secretariat of the Pacific Community (SPC).
  • Stefánsson G., 1996, Analysis of grounfish survey abundance data: combining the GLM and Delta approaches. ICES J. Mar. Sci. 53, 577–588. [CrossRef]
  • Vayssiéres M.P., Richard R.E., Allen-Diaz B.H., 2000, Classification trees: an alternative non-parametric approach for predicting species distribution. J. Veget. Sci. 11, 679–694. [CrossRef]
  • Watson J.W., Epperly S.P., Shah A.K., Foster D.G., 2005, Fishing methods to reduce sea turtle mortality associated with pelagic longlines. Can. J. Fish. Aquat. Sci. 62, 965–981. [CrossRef]
  • Witherington B.E., Kubilis P., Brost B., Meylan A., 2009, Decreasing annual nest counts in a globally important loggerhead sea turtle population. Ecol. Appl. 19, 30–54. [CrossRef] [PubMed]
  • Yeung, C., 2001, Analysis of marine turtle bycatch by the U.S. Atlantic pelagic longline fleet. NOAA Tech. Memo. NMFSSEFSC 455, pp. 120–142.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.