Hostname: page-component-848d4c4894-xm8r8 Total loading time: 0 Render date: 2024-06-19T04:08:41.180Z Has data issue: false hasContentIssue false

Time series analysis of tuna and swordfish catches and climate variability in the Indian Ocean (1968-2003)

Published online by Cambridge University Press:  09 October 2008

Ana Corbineau
Affiliation:
IRD, UR 109 THETIS, Centre de Recherche Halieutique Méditerranéenne et Tropicale, avenue Jean Monnet, BP 171, 34203 Sète Cedex, France
Tristan Rouyer
Affiliation:
IFREMER, Centre de Recherche Halieutique Méditerranéenne et Tropicale, avenue Jean Monnet, BP 171, 34203 Sète Cedex, France
Bernard Cazelles
Affiliation:
CNRS UMR 7625, ENS, 46 rue d'Ulm, 75230 Paris Cedex 05, France UR 079 GEODES, Centre IRD Ile-de-France, 32 avenue Henri Varagnat, 93142 Bondy Cedex, France
Jean-Marc Fromentin
Affiliation:
IFREMER, Centre de Recherche Halieutique Méditerranéenne et Tropicale, avenue Jean Monnet, BP 171, 34203 Sète Cedex, France
Alain Fonteneau
Affiliation:
IRD, UR 109 THETIS, Centre de Recherche Halieutique Méditerranéenne et Tropicale, avenue Jean Monnet, BP 171, 34203 Sète Cedex, France
Frédéric Ménard
Affiliation:
IRD, UR 109 THETIS, Centre de Recherche Halieutique Méditerranéenne et Tropicale, avenue Jean Monnet, BP 171, 34203 Sète Cedex, France
Get access

Abstract

We analysed the patterns of variation that characterize 33 catch time series of large pelagic fishes exploited by the Japanese and Taiwanese longline fisheries in the Indian Ocean from 1968 to 2003. We selected four species, the yellowfin (Thunnus albacares), the bigeye (T. obesus), the albacore (T. alalunga), and the swordfish (Xiphias gladius) and aggregated data into five biogeographic provinces of Longhurst (2001). We carried out wavelet analyses, an efficient method to study non-stationary time series, in order to get the time-scale patterns of each signals. We then compared and grouped the different wavelet spectra using a multivariate analysis to identify the factors (species, province or fleet) that may influence their clustering. We also investigated the associations between catch time series and a large-scale climatic index, the Dipole Mode Index (DMI), using cross wavelet analyses. Our results evidenced that the geographical province is more important than the species level when analyzing the 33 catch time series in the tropical Indian Ocean. The DMI further impacted the variability of tuna and swordfish catch time series at several periodic bands and at different temporal locations, and we demonstrated that the geographic locations modulated its impact. We discussed the consistency of time series fluctuations that reflect embedded information and complex interactions between biological processes, fishing strategies and environmental variability at different scales.

Type
Research Article
Copyright
© EDP Sciences, IFREMER, IRD, 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Alory, G., Wijffels, S., Meyers, G., 2007, Observed temperature trends in the Indian Ocean over 1960–1999 and associated mechanisms. Geophys. Res. Lett. 34, L02606. CrossRef
Behera, S.K., Yamagata, T., 2003, Impact of the Indian Ocean Dipole on the Southern Oscillation. J. Meteorol. Soc. Jpn. 81, 169177. CrossRef
Bretherton, C.S., Smith, C., Wallace, J.M., 1992, An intercomparison of methods for finding coupled patterns in climate data. J. Clim. 5, 541560. 2.0.CO;2>CrossRef
Cazelles, B., Chavez, M., Berteaux, D., Ménard, F., Vik, J.O., Jenouvrier, S., Stenseth, N.C., 2008, Wavelet analysis of ecological time series. Oecologia 156, 287304. CrossRef
Cazelles, B., Stone, L., 2003, Detection of imperfect population synchrony in an uncertain world. J. of Anim. Ecol. 72, 953968. CrossRef
Essington, T.E., Schindler, D.E., Olson, R.J., Kitchell, J.F., Boggs, C., Hilborn, R., 2002, Alternative fisheries and the predation rate of yellowfin tuna in the eastern Pacific Ocean. Ecol. Appl. 12, 724734 CrossRef
Feng, M., Meyers, G., 2003, Interannual variability in the tropical Indian Ocean: a two-year time scale of IOD. Deep-Sea Res. II 50, 22632284. CrossRef
Fonteneau A., 1997, Atlas of tropical tuna fisheries world catches and environment. ORSTOM Editions, Paris.
Fonteneau A., 1998, Panorama de l'exploitation des thonidés dans l'océan Indien. In: Cayré P., Le Gall J.-Y. (Eds.), Le thon: enjeux et stratégies pour l'océan Indien, Paris, ORSTOM, pp. 49–74.
Fonteneau, A., Richard, N., 2003, Relationship between catch, effort, CPUE and local abundance for non-target species, such as billfishes, caught by Indian Ocean longline fisheries. Mar. Freshwater Res. 54, 110. CrossRef
Frank, K.T., Petrie, B., Shackell, N.L., Choi, J.S., 2006, Reconciling differences in trophic control in mid-latitude marine ecosystems. Ecol. Lett. 9, 110. CrossRef
Heath, J.P., 2006, Quantifying temporal variability in population abundances. Oikos 115, 573581. CrossRef
Hilborn R., Walters C.J., 1992, Quantitative Fisheries Stock Assessment. Chapman and Hall, New York and London.
Legendre P., Legendre L., 1998, Numerical Ecology. 2nd Edition, Elsevier Science BV, Amsterdam.
Lehodey, P., Bertignac, M., Hampton, J., Lewis, A., Picaut, J., 1997, El Niño Southern Oscillation and tuna in the western Pacific. Nature 389, 715717. CrossRef
Lehodey, P., Alheit, J., Barange, M., Baumgartner, T., Beaugrand, G., Drinkwater, K., Fromentin, J-M., Hare, S.R., Ottersen, G., Perry, R.I., Roy, C., Van der Lingen, C.D., Werner, F., 2006, Climate variability, fish and fisheries. J. Clim. 19, 50095030. CrossRef
Longurst A.R., 2001, Ecological geography of the sea. Academic Press.
Marsac F., Le Blanc J-L., 1998, Interannual and ENSO-associated variability of the coupled ocean-atmosphere system with possible impacts on the yellowfin tuna fisheries of the Indian and Atlantic Oceans. Col. Vol. Sci. Pap. ICCAT 50 (1), 345–377.
Marsac, F., 2001, Climate and oceanographic indices appraising the environmental fluctuations in the Indian Ocean. IOTC Proc. 4, 293301.
Ménard, F., Marsac, F., Bellier, E., Cazelles, B., 2007, Climatic Oscillations and tuna catch rates in the Indian Ocean: a wavelet approach of time series analysis. Fish. Oceanogr. 16, 95104. CrossRef
Meyers, G., McIntosh, P., Pigot, L., Pook, M., 2007, The years of El Niño, La Niña, and interactions with the Tropical Indian Ocean. J. Clim. 20, 28722880. CrossRef
Myers, R.A., Worm, B., 2003, Rapid worldwide depletion of predatory fish communities. Nature 423, 280283. CrossRef
Rao, S.A., Behera, S.K., 2005, Subsurface influence on SST in the tropical Indian Ocean: structure and interannual variability. Dyn. Atmosph. Oceanogr. 39, 103135. CrossRef
Ravier, C., Fromentin, J.-M., 2001, Long-term fluctuations in the Eastern Atlantic and Mediterranean bluefin tuna population. ICES J. Mar. Sci. 58, 12991317. CrossRef
Ravier, C., Fromentin, J.-M., 2004, Are the long-term fluctuations in Atlantic bluefin tuna (Thunnus thynnus) population related to environmental changes? Fish. Oceanogr. 13, 145160.
Rouyer, T., Fromentin, J.-M., Stenseth, N.C., Cazelles, B., 2008a, Analysing multiple time series and extending significance testing in wavelet analysis. Mar. Ecol. Prog. 359, 1123. CrossRef
Rouyer, T., Fromentin, J.-M., Ménard, F., Cazelles, B., Briand, K., Pianet, R., Planque, B., Stenseth, N.C., 2008b, Complex interplays between population dynamics, environmental forcing and exploitation in fisheries. Proc. Natl. Acad. Sci. 105, 54205425. CrossRef
Saji, N.H., Goswami, B.N., Vinayachandran, P.N., Yamagata, T., 1999, A dipole mode in the tropical Indian Ocean. Nature 401, 360363.
Stenseth N.C., Ottersen G., Hurrel J.W., Belgrano A., 2004, Marine Ecosystems and Climate Variation. New York: Oxford University Press.
Torrence, C., Campo, G.P., 1998, A practical guide to wavelet analysis. Bull. Am. Meteorol. Soc. 79, 6178. 2.0.CO;2>CrossRef