Environmental and spatial effects on the distribution of blue marlin (Makaira nigricans) as inferred from data for longline fisheries in the Pacific Ocean

Fisheries Oceanography

Volumn 17, Issue 6, 2008, Pages 432-445

  Su, Nan Jay ^a   Sun, Chi Lu ^a   Punt, Andre E ^b   Yeh, Su Zan ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Blue marlin; Distribution; Environmental and spatial effects; Generalized additive model

Indexed keywords

ENVIRONMENTAL EFFECT; FISH; FISHERY; POPULATION DISTRIBUTION; PROBABILITY; SPATIAL DISTRIBUTION; TEMPERATE ENVIRONMENT;

PACIFIC OCEAN;

MAKAIRA NIGRICANS;

EID: 56649106572     PISSN: 10546006     EISSN: 13652419     Source Type: Journal    
DOI: 10.1111/j.1365-2419.2008.00491.x     Document Type: Article

References (44)

1. Anraku, N. Yabuta, Y. (1959) Seasonal migration of blue marlin. Nankai Reg. Fish. Res. Lab. Rep. 10 : 63 71.
2. Bigelow, K.A., Boggs, C.H. He, X. (1999) Environmental effects on swordfish and blue shark catch rates in the US North Pacific longline fishery. Fish. Oceanogr. 8 : 178 198.
3. Bigelow, K.A., Hampton, J. Miyabe, N. (2002) Application of a habitat-based model to estimate effective longline fishing effort and relative abundance of Pacific bigeye tuna (Thunnus obesus). Fish. Oceanogr. 11 : 143 155.
4. Block, B.A., Booth, D.T. Carey, F.G. (1992) Depth and temperature of the blue marlin, Makaira nigricans, observed by acoustic telemetry. Mar. Biol. 114 : 175 183.
5. Brill, R.W. Lutcavage, M.E. (2001) Understanding environmental influences on movements and depth distributions of tunas and billfishes can significantly improve population assessments. In : Islands in the Stream: Oceanography and Fisheries of the Charleston Bump. G. Sedberry (ed Bethesda, MD : American Fisheries Society Symposium 25, pp. 179 198.
6. Brill, R.W., Block, B.A., Boggs, C.H., Bigelow, K.A., Freund, E.V. Marcinek, D.J. (1999) Horizontal movements and depth distribution of large adult yellowfin tuna (Thunnus albacares) near the Hawaiian Islands, recorded using ultrasonic telemetry: implications for the physiological ecology of pelagic fishes. Mar. Biol. 133 : 395 408.
7. Brock, R.E. (1984) A contribution to the trophic biology of the blue marlin (Makaira nigricans Lacépède, 1802) in Hawaii. Pacific Sci. 38 : 141 149.
8. Campbell, J., Antoine, D., Armstrong, R. et al. (2002) Comparison of algorithms for estimating ocean primary production from surface chlorophyll, temperature, and irradiance. Global Biogeochem. Cycles 16 : 1035.
9. Cooke, J.G. Lankester, K. (1996) Consideration of statistical models for catch-effort indices for use in tuning VPAs. ICCAT Col. Vol. Sci. Pap. 45 : 125 131.
10. Cragg, J.G. (1971) Some statistical models for limited dependent variables with applications to the demand for durable goods. Econometrica 39 : 829 844.
11. Fiedler, P.C. Bernard, H.J. (1987) Tuna aggregation and feeding near fronts observed in satellite imagery. Continental Shelf. Res. 7 : 871 881.
12. Goodyear, C.P. (1999) An analysis of the possible utility of time-area closures to minimize billfish bycatch by U.S. pelagic longlines. Fish. Bull. US 97 : 243 255.
13. Goodyear, C.P. (2003) Spatio-temporal distribution of longline catch per unit effort, sea surface temperature and Atlantic marlin. Mar. Freshw. Res. 54 : 409 417.
14. Graves, J.E. McDowell, J.R. (2003) Stock structure of the world's istiophorid billfishes: a genetic perspective. Mar. Freshw. Res. 54 : 287 298.
15. Graves, J.E., Luckhurst, B.E. Prince, E.D. (2002) An evaluation of pop-up satellite tags for estimating postrelease survival of blue marlin (Makaira nigricans) from a recreational fishery. Fish. Bull. US. 100 : 134 142.
16. Hastie, T.J. Tibshirani, R.J. (1990) Generalized Additive Models. London : Chapman and Hall.
17. Hinton, M.G. (2001) Status of blue marlin in the Pacific Ocean. In : Status of Tuna and Billfish Stocks in 1999. Inter-Amer. Trop. Tuna Comm., La Jolla, CA : Stock Assessment Report, 1, pp. 284 319.
18. Hinton, M.G. Maunder, M.N. (2003) Methods for standardizing CPUE and how to select among them. ICCAT Col. Vol. Sci. Pap. 56 : 169 177.
19. Hinton, M.G. Nakano, H. (1996) Standardizing catch and effort statistics using physiological, ecological, or behavioral constraints and environmental data, with an application to blue marlin (Makaira nigricans) catch and effort data from the Japanese longline fisheries in the Pacific. Bull. Int. Am. Trop. Tuna Commun. 21 : 171 200.
20. Hobday, A.J. Hartmann, K. (2006) Near real-time spatial management based on habitat predictions for a longline bycatch species. Fish. Management Ecol. 13 : 365 380.
21. Holland, K.N., Brill, R.W. Chang, R.K.C. (1990) Horizontal and vertical movements of Pacific blue marlin captured and released using sportfishing gear. Fish. Bull. US. 88 : 397 402.
22. Hopper, C.N. (1990) Patterns of Pacific blue marlin reproduction in Hawaiian waters. In : Planning the Future of Billfishes. R. H. Stroud (ed Savannah, GA : National Coalition for Marine Conservation, pp. 123 136.
23. Howard, J.K. Ueyanagi, S. (1965) Distribution and relative abundance of billfishes (Istiophoridae) of the Pacific Ocean. Univ. Miami Inst. Mar. Sci. Stud. Trop. Oceanogr. 2 : 1 134.
24. Kleiber, P., Hinton, M.G. Uozumi, Y. (2003) Stock assessment of blue marlin (Makaira nigricans) in the Pacific using MUNTIFAN-CL. Mar. Freshw. Res. 54 : 349 360.
25. 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.
26. Maravelias, C.D. (1999) Habitat selection and clustering of a pelagic fish: effects of topography and bathymetry on species dynamics. Can. J. Fish. Aquat. Sci. 56 : 437 450.
27. Maunder, M.N. Punt, A.E. (2004) Standardizing catch and effort data: a review of recent approaches. Fish. Res. 70 : 141 159.
28. McCullagh, P. Nelder, J.A. (1989) Generalized Linear Models, 2nd edn. London : Chapman and Hall.
29. Molony, B. (2005) Summary of the Biology, Ecology and Stock Status of Billfishes in the WCPFC, with a Review of Major Variables Influencing Longline Fishery Performance. Working paper EB-WP-2, 1st Meeting of the Scientific Committee of the Western and Central Pacific Fisheries Commission (WCPFC-SC1 New Caledonia : Noumea, 8-19 August 2005.
30. Olson, D.B., Hitchcock, G.L., Mariano, A.J. et al. (1994) Life on the edge: marine life and fronts. Oceanography 7 : 52 60.
31. 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.
32. R Development Core Team (2006) R: A Language and Environment for Statistical Computing. Vienna, Austria : R Foundation for Statistical Computing, ISBN 3-900051-07-0, http://www.R-project.org [accessed 18 December 2006].
33. Rodríguez-Marín, E., Arrizabalaga, H., Ortiz, M., Rodríguez-Cabello, C., Moreno, G. Kell, L.T. (2003) Standardization of bluefin tuna, Thunnus thynnus, catch per unit effort in the baitboat fishery of the Bay of Biscay (Eastern Atlantic). ICES J. Mar. Sci. 60 : 1216 1231.
34. Sacau, M., Pierce, G.J., Wang, J. et al. (2005) The spatio-temporal pattern of Argentine shortfin squid Illex argentinus abundance in the southwest Atlantic. Aquat. Living Resour. 18 : 361 372.
35. Seki, M.P., Lumpkin, R. Pierre, F. (2002) Hawaii cyclonic eddies and blue marlin catches: the case study of the 1995 Hawaiian International Billfish Tournament. J. Oceanogr. 58 : 739 745.
36. Shaklee, J.B., Richard, W.B. Acerra, R. (1983) Biochemical genetics of Pacific blue marlin, Makaira nigricans, from Hawaiian waters. Fish. Bull. US. 81 : 85 90.
37. Stéfansson, G. (1996) Analysis of groundfish survey abundance data: combining the GLM and delta approaches. ICES J. Mar. Sci. 53 : 577 588.
38. Venables, W.N. Dichmont, C.M. (2004a) GLMs, GAMs and GLMMs: an overview of theory and applications in fisheries research. Fish. Res. 70 : 319 337.
39. Venables, W.N. Dichmont, C.M. (2004b) A generalized linear model for catch allocation: an example from Australia's Northern Prawn Fishery. Fish. Res. 70 : 409 426.
40. Walsh, W.A., Ito, R.Y., Kawamoto, K.E. McCracken, M. (2005) Analysis of logbook accuracy for blue marlin (Makaira nigricans) in the Hawaii-based longline fishery with a generalized additive model and commercial sales data. Fish. Res. 75 : 175 192.
41. Walsh, W.A., Howell, E.A., Bigelow, K.A. McCracken, M.L. (2006) Analyses of observed longline catches of blue marlin, Makaira nigricans, using generalized additive models with operational and environmental predictors. Bull. Mar. Sci. 79 : 607 622.
42. Ward, P. Myers, R.A. (2005) Inferring the depth distribution of catchability for pelagic fishes and correcting for variations in the depth of longline fishing gear. Can. J. Fish. Aquat. Sci. 62 : 1130 1142.
43. Wise, B. Bromhead, D. (2004) Striped marlin abundance: standardisation of CPUE. In : Striped Marlin: Biology and Fishery. D. Bromhead, J. Pepperell, B. Wise J. Findlay (eds) Canberra : Bureau of Rural Sciences, pp. 171 194.
44. Wood, S.N. (2006) Low rank scale invariant tensor product smooths for generalized additive mixed models. Biometrics 62 : 1025 1036.