Reconstruction of spatiotemporal capture data by means of orthogonal functionsthe case of skipjack tuna (Katsuwonus pelamis) in the central-east Atlantic

  1. UNAI GANZEDO 1
  2. OIHANE ERDAIDE 2
  3. AARON TRUJILLO-SANTANA 3
  4. AIDA ALVERA-AZCÁRATE 4
  5. JOSÉ J. CASTRO 3
  1. 1 Department of Fisheries Management and Marine Research, Echebastar fleet s.l.u. Muelle Erroxape s/n (Box 39), 48370-Bermeo, Spain.
  2. 2 Research Center for Experimental Marine Biology and Biotechnology, Plentzia Marine Station (PIE), University of the Basque Country (UPV/EHU), Areatza, zg E-48620, Plentzia, Spain.
  3. 3 Faculty of Marine Sciences, University of Las Palmas de Gran Canaria, Edf. Ciencias Básicas, Campus Universitario de Tafira, 35017 Las Palmas de Gran Canaria, Spain.
  4. 4 Department of AGO-GHER, University of Liège, Allée du 6 Août 17, B5, Sart Tilman, 4000, Liège, Belgium.
Mostrar afiliaciones +
Revista:
Scientia Marina

ISSN: 0214-8358

Año de publicación: 2013

Volumen: 77

Número: 4

Páginas: 575-584

Tipo: Artículo

DOI: 10.3989/SCIMAR.03881.07A DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Scientia Marina

Objetivos de desarrollo sostenible

Resumen

The information provided by the International Commission for the Conservation of Atlantic Tunas (ICCAT) on captures of skipjack tuna (Katsuwonus pelamis) in the central-east Atlantic has a number of limitations, such as gaps in the statistics for certain fleets and the level of spatiotemporal detail at which catches are reported. As a result, the quality of these data and their effectiveness for providing management advice is limited. In order to reconstruct missing spatiotemporal data of catches, the present study uses Data INterpolating Empirical Orthogonal Functions (DINEOF), a technique for missing data reconstruction, applied here for the first time to fisheries data. DINEOF is based on an Empirical Orthogonal Functions decomposition performed with a Lanczos method. DINEOF was tested with different amounts of missing data, intentionally removing values from 3.4% to 95.2% of data loss, and then compared with the same data set with no missing data. These validation analyses show that DINEOF is a reliable methodological approach of data reconstruction for the purposes of fishery management advice, even when the amount of missing data is very high

Referencias bibliográficas

  • Alvera-Azcárate A., Barth A., Rixen M., Beckers J. 2005. Reconstruction of incomplete oceanographic data sets using empirical orthogonal functions: application to the Adriatic Sea surface temperature. Ocean Model. 9: 325-346. http://dx.doi.org/10.1016/j.ocemod.2004.08.001
  • Alvera-Azcárate A., Barth A., Beckers J., Weisberg R. 2007. Multivariate reconstruction of missing data in sea surface temperature, chlorophyll, and wind satellite fields. J. Geophys. Res.-Oceans 112: C03008.
  • Agnew D.J., Pearce J., Pramod G., Peatman T., Watson R., Beddington J.R., Pitcher T.J. 2009. Estimating the worldwide extent of illegal fishing. PloS ONE 4(2): e4570. http://dx.doi.org/10.1371/journal.pone.0004570
  • Anonymous. 1999. Report of the working group on the assessment of northern shelf demersal stocks. ICES CM 2000/ACFM 1, 402 pp.
  • Bard F., Antoine L. 1986. Croissance du listao dans l'Atlantique est. In: Comptes-rendus de la Conference ICCAT sur le Programme de L'Année Internationale du Listao, pp. 301-308.
  • Beckers J., Rixen M. 2003. EOF calculations and data filling from incomplete oceanographic data sets. J. Atmos. Ocean. Tech. 20: 1839-1856. http://dx.doi.org/10.1175/1520-0426(2003)020<1839:ECADFF>2.0.CO;2
  • Beverton R.J.H., Holt S.J. 1957. On the dynamic of exploited fish populations. Chapman & Hall. London (1993 facsimilae reprint).
  • Cadima E.L. 2003. Manual de evaluación de recursos pesqueros. FAO Doc. Téc. Pesca 393, Rome, 162 pp.
  • Castillo S., Mendo J. 1987. Estimation of unregistered Peruvian achoveta (Engraulis ringens) in official catch statistic, 1951 to 1982. In: Pauly D., Tsukayama I. (eds), The Peruvian anchoveta and its upwelling ecosystem: three decades of changes. ICLARM Studies and Reviews 15, pp. 109-116.
  • Cayré P., Farrugio H. 1986. Biologie de la reproduction du listao (Katsuwonus pelamis) de l'Océan Atlantique. In: Comptes-rendus de la Conference ICCAT sur le Programme de L'Année Internationale du Listao, pp. 252-272.
  • Cayré P., Diouf T., Fonteneau A., Santa Rita-Vieira M.H. 1986. Analyse des données de marquages et recaptures de listao (Katsuwonus pelamis) realizés par le Sénégal et la République du Cap-Vert. In: Comptes-rendus de la Conference ICCAT sur le Programme de L'Année Internationale du Listao, pp. 309-316.
  • Chen Y., Chen L., Stergiou K.I. 2003. Impact of data quantity on fisheries stock assessment. Aquat. Sci. 65: 92-98. http://dx.doi.org/10.1007/s000270300008
  • Cushing D.H. 1983. Key papers on fish populations. IRL Press.
  • Daw T., Gray T. 2005. Fisheries science and sustainability in international policy: a study of failure in the European Union's Common Fisheries Policy. Mar. Pol. 29: 189-197. http://dx.doi.org/10.1016/j.marpol.2004.03.003
  • Dowling N.A., Smith D.C., Knuckey I., Smith A.D.M., Domaschez O., Patterson H.M., Whitelaw W. 2008. Developing harvest strategies for low-value and data-poor fisheries: Case studies from three Australian fisheries. Fish. Res. 94: 380-390. http://dx.doi.org/10.1016/j.fishres.2008.09.033
  • Farrugio H. 1993. Methods to analyse the dynamics of exploited marine populations: sampling methods. In: Lleonart J. (ed.), Northwestern Mediterranean Fisheries. Sci. Mar. 57(2-3): 255-259.
  • Fonteneau A., Pallares-Soubrier P. 1996. Interactions between tuna fisheries: A global review with specific examples from the Atlantic Ocean. FAO Fish. Tech. Pap. 365: 84-123.
  • Gómez-Mu-oz V.M. 1990. A model to estimate catches from a short fishery statistics survey. Bull. Mar. Sci. 46(3): 719-722.
  • González-Ramos A. 1992. Bioecología del Listado (Katsuwonus pelamis Linnaeus, 1758) en el área de Canarias. Modelo de gestión y explotación mediante el uso de la teledetección. PhD thesis, Universidad de Las Palmas de Gran Canaria, 196 pp.
  • Gouveia, L., Mejuto, J. 2003. Seasonality and interannual variability in catches of skipjack tuna (Katsuwonus pelamis) and bigeye tuna (Thunnus obesus) in the area around the archipelago of Madeira. Collect. Vol. Sci. Pap. ICCAT, 55(5): 1853-1867.
  • Hilborn R., Walters C.J. 1992. Quantitative fisheries stock assessment. Chapma & Hall. http://dx.doi.org/10.1007/978-1-4615-3598-0
  • ICCAT. 2008. Report of the 2007 meeting of the working group on stock assessment methods. ICCAT Document SCRS/2007/011. Coll. Vol. Sci. Pap. ICCAT, 62(6): 1892-1972.
  • ICES. 2005. Report of the Working Group on the Assessment of Northern Shelf Demersal Stocks (WGNSDS). ICES Document CM 2006/ACFM: 13, 803 pp.
  • International Commission for the Conservation of Atlantic Tunas (ICCAT) (http://www.iccat.int/enaccesingdb.htm)
  • Kelleher K. 2005. Discards in the world's marine fisheries. An update. FAO Fish. Tech. Pap. 470, Rome, 131 pp.
  • Kelly C.J., Codling E.A. 2006. "Cheap and dirty" fisheries science and management in the North Atlantic. Fish. Res. 79: 233-238. http://dx.doi.org/10.1016/j.fishres.2006.03.007
  • Kennelly S.J., Broadhurst M.K. 2002. By-catch begone: changes in the philosophy of fishing technology. Blackwell Science Ltd., Fish and Fisheries Series, 3: 340-355. http://dx.doi.org/10.1046/j.1467-2979.2002.00090.x
  • Lleonart J. 1993. Methods to analyse the dynamics of exploited marine populations: use and development of models. In: Lleonart, J. (ed.), Northwestern Mediterranean Fisheries. Sci. Mar. 57(2-Lloret J., Zaragoza N., Caballero D., Font T., Casadevall M., Riera V. 2008. Spearfishing pressure on fish communities in rocky coastal habitat in a Mediterranean marine protected area. Fish. Res. 94: 84-91.
  • Maunder M.N., Deriso R.B. 2010. Dealing with missing covariate data in fishery stock assessment models. Fish. Res. 101(1-2): 80-86. http://dx.doi.org/10.1016/j.fishres.2009.09.009
  • Ménard F., Fontenaeu A., Gaertner D., Nordstrom V., Stéquert B., Marchal E. 2000. Exploitation of small tunas by a purse-seine fishery with fish aggregating devices and their feeding ecology in an eastern tropical Atlantic ecosystem. ICES J. Mar. Sci. 57(3): 525-530. http://dx.doi.org/10.1006/jmsc.2000.0717
  • Miyabe N., Bard F. 1986. Actividades de marcado en las Canarias para el programa listado. In: Proc. ICCAT Intl. Skipjack Yr. Prog, pp. 342-347.
  • Morales-Nin B., Moranta J., García C., Tugores M.P., Grau A.M., Riera F., Cerda M. 2005. The recreational fishery off Majorca Island (western Mediterranean): some implications for coastal resource management. ICES J. Mar. Sci. 62: 727-739. http://dx.doi.org/10.1016/j.icesjms.2005.01.022
  • Miyake M.P., Miyabe N., Nakano H., 2004. Historical trends of tuna catches in the world. FAO Fish. Tech. Pap. 467: 1-74.
  • Pallarés P., Delgado de Molina A., Ariz J., Santana J.C., Delgado de Molina R. 2005. Esfuerzo de la pesquería artesanal de túnidos de las Islas Canarias. Col. Vol. Sci. Pap. ICCAT 58(1): 183-191.
  • Pang L., Pauly D. 2001. Chinese marine capture fisheries from 1950 to the late 1990s: the hopes, plans and data. In: Watson R., Pang L., Pauly D. (eds), The marine fisheries of China: development and reported catches. Fish. Centre Res. Rep. 9(2): 1-27.
  • Patterson K., Cook R., Davis C., Gavaris S., Kell L., Levy P., Mesnil B., Punt A., Restrepo V., Skagen D.W., Stefansson G. 2001. Estimating uncertainty in fish stock assessment and forecasting. Fish Fish. 2: 125-157. http://dx.doi.org/10.1046/j.1467-2960.2001.00042.x
  • Pauly D. 2009. Beyond duplicity and ignorance in global fisheries. Sci. Mar. 73(2): 215-224. http://dx.doi.org/10.3989/scimar.2009.73n2215
  • Pitcher T.J., Hart P.J.B. 1983. Fisheries ecology. Kluwer Academic Publishers, 414 pp.
  • Punt A.E., Hilborn R. 1997. Fisheries stock assessment and decision analysis: the Bayesian approach. Rev. Fish Biol. Fish. 7: 35-63. http://dx.doi.org/10.1023/A:1018419207494
  • Quinn T.J., Deriso, R.B. 1999. Quantitative fish dynamics. Oxford UP.
  • Scandol J. 2004. A framework for the assessment of harvested fish resources in NSW. NSW Department of Primary Industries, Fish. Res. Assess. Ser. 15, 44 pp.
  • Solari, A.P., Castro, J.J., Bas, C. 2003. On skipjack tuna dynamics: similarity at several scales. In: Seuront, L. and Strutton, P.G. (eds), Handbook of scaling methods in aquatic ecology: Measurement, analysis, simulation. CRC Press, London, 624 pp.
  • Toumazou V., Cretaux J. 2001. Using a Lanczos eigensolver in the computation of empirical orthogonal functions. Mon. Weather Rev. 129: 1243-1250. http://dx.doi.org/10.1175/1520-0493(2001)129<1243:UALEIT>2.0.CO;2
  • Trujillo-Santana, A. 2010. Estudio de la pesquería artesanal de cebo vivo sobre Katsuwonus pelamis en los archipiélagos atlánticos hispanolusos y Golfo de Vizcaya. Universidad de Las Palmas de Gran Canaria, 124 pp.
  • Watson R., Pauly D. 2001. Systematic distortions in world fisheries catch trends. Nature 414: 534-536. http://dx.doi.org/10.1038/35107050
  • Wilks D. 1995. Statistical Methods in the Atmospheric Science. Elsevier, New York, 467 pp.3): 261-267.
Fuente de los datos: Dialnet