Standardization of catch and effort data in a spatially-structured shark fishery

Fisheries Research

Volumn 45, Issue 2, 2000, Pages 129-145

  Punt, André E ^a   Walker, Terence I ^b   Taylor, Bruce L ^b   Pribac, Fred ^a  

^a CSIRO   (Australia)

^b Mar and Freshw Resources Institute   (Australia)

Author keywords

Catch rates; CPUE; Galeorhinus galeus; Shark; Standardization

Indexed keywords

ABUNDANCE; CATCH STATISTICS; FISHERY; SHARK;

PACIFIC OCEAN;

EID: 0034096709     PISSN: 01657836     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-7836(99)00106-X     Document Type: Article

References (40)

1. Anon., 1996. Fishstat PC. Fishery Information, Data and Statistics Unit, FAO Fisheries Department, Food and Agriculture Organisation of the United Nations, Rome.
2. Bedford, D., 1987. Shark management: a case history - the California pelagic shark and swordfish fishery. In: Cook, S. (Ed.), Sharks: An Inquiry into Biology, Behaviour, Fisheries, and Use. Oregon State University Extension Service, Corvallis, pp. 161-171.
3. Berry D.A. Logarithmic transformations in ANOVA. Biometrics. 43:1987;439-456.
4. Bonfil R. Overview of world elasmobranch fisheries. FAO Fish. Tech. Pap. 341:1994;1-119.
5. Campbell, R.A., 1998. Catch and effort analysis with uncertain stock and effort dynamics: southern bluefin tuna longline. In: Quinn II T.J., Funk, F., Heifetz, J., Ianelli, J.N., Powers, J.E., Schweigert, J.F., Sullivan, P.J., Zhang, C.-I. (Eds.), Fisheries Stock Assessment Models. Alaska Sea Grant College Program AK-SG-98-01, pp. 75-97.
6. Compagno, L.J.V., 1990. Shark exploitation and conservation. In: Pratt Jr., H.L., Gruber, S.H., Taniuchi, T. (Eds.), Elasmobranchs as Living Resources: Advances in the Biology, Ecology, Systematics, and the Status of the Fisheries. US Department of Commerce, Washington, DC, pp. 391-414.
7. Cooke J.G., Beddington J.R. The relationship between catch rates and abundance in fisheries. IMA J. Math. Appl. Med. Biol. 1:1984;391-405.
8. Cooke J.G., Lankester K. Consideration of statistical models for catch-effort indices for use in tuning VPA's. ICCAT Col. Vol. Sci. Pap. 45(2):1996;125-131.
9. de la Mare W.K. Estimating confidence intervals for fish stock abundance estimates from trawl surveys. CCAMLR Sci. 1:1994;203-207.
10. Dong Q., Restrepo V.R. Notes on the Poisson error assumption made to estimate relative abundance of west Atlantic bluefin tuna. ICCAT Col. Vol. Sci. Pap. 45(2):1996;158-161.
11. Fowler S. Status of the basking shark (Cetorhinus maximus). Shark News. 6:1996;4-5.
12. Gavaris S. Use of a multiplicative model to estimate catch rate and effort from commercial data. Can. J. Fish. Aquat. Sci. 37:1980;2272-2275.
13. Grant C.J., Sandland R.L., Olsen A.M. Estimation of growth, mortality and yield per recruit of the Australian school sharks, Galeorhinus australis (Macleay) from tag recoveries. Aust. J. Mar. Freshw. Res. 30:1979;625-637.
14. Gulland J.A. On the fishing effort in English demersal trawl fisheries. Invest. Minst. Agric. Fish. Food (Ser. 2). 20:1956;1-41.
15. Hilborn, R., Walters, C.J., 1992. Quantitative Fisheries Stock Assessment. Chapman & Hall, London.
16. Holden M.J. Are long-term sustainable fisheries for elasmobranchs possible? Rapp. P.-v Réun. Cons. Perm Int. Explor. Mer. 164:1973;360-367.
17. Holden, M.J., 1974. Problems in the rational exploitation of elasmobranch populations and some suggested solutions. In: Harden-Jones, F.R. (Ed.), Sea Fisheries Research. Halsted Press, New York, pp. 117-137.
18. Honma M. Estimation of overall effective fishing intensity of tuna longline fishery. Bull. Far Seas Fish Res. Lab. 10:1973;63-85.
19. Hutchings J.A. Spatial and temporal variation in the density of northern cod and a review of hypotheses for the stock's collapse. Can. J. Fish. Aquat. Sci. 53:1996;943-962.
20. ICCAT, 1995. Report for the biennial period 1994-1995, vol. 2, Part I.
21. Kimura D.K. Standardized measures of relative abundance based on modelling log(c.p.u.e.), and the application to Pacific ocean perch (Sebastes alutus). J. Cons. Int. Explor. Mer. 39:1981;211-218.
22. Kirkwood G.P., Walker T.I. Gill net mesh selectivities for gummy shark, Mustelus antarcticus Günther taken in south-eastern Australian waters. Aust. J. Mar. Freshw. Res. 37:1986;689-697.
23. Last, P.R., Stevens, J.D., 1994. Sharks and Rays of Australia. CSIRO Australia, Melbourne.
24. McLoughlin, K., Walker, T.I., Punt, A.E., 1998. Southern shark. In: Caton, A., McLoughlin, K., Staples, D. (Eds.), Resource assessments of Australian Commonwealth Fisheries, Fishery Status Reports 1997. Bureau of Resource Sciences, Canberra, pp. 67-73.
25. Olsen A.M. Tagging of school shark Galeorhinus australis (Macleay) (Carcharhinidae) in south-eastern Australian waters. Aust. J. Mar. Freshw. Res. 4:1953;95-104.
26. Olsen A.M. The biology, migration, and growth rate of the school shark, Galeorhinus australis (Macleay) (Carcharhinidae) in south-eastern Australian waters. Aust. J. Mar. Freshw. Res. 5:1954;353-410.
27. Olsen A.M. The status of the school shark fishery in south-eastern Australian waters. Aust. J. Mar. Freshw. Res. 10:1959;150-176.
28. Pennington M. Efficient estimators of abundance for fish and plankton surveys. Biometrics. 39:1983;281-286.
29. Porch C.E. A numerical evaluation of GLM methods for estimating indices of abundance for west Atlantic small bluefin tuna catch per trip data when the data are aggregated to minimise zero catches. ICCAT Col. Vol. Sci. Pap. 44(2):1995;332-336.
30. Punt A.E., Walker T.I. Stock assessment and risk analysis for the school shark off southern Australia. Mar. Freshw. Res. 49:1998;719-731.
31. Ripley W.E. The soupfin shark and the fishery. Calif. Div. Fish Game Fish Bull. 64:1946;7-37.
32. Robson D.S. Estimation of the relative fishing power of individual ships. ICNAF Res. Bull. 3:1966;5-14.
33. Stanley, C.A., 1988. Tagging experiments on school shark (Galeorhinus australis) and gummy shark (Mustelus antarcticus): recapture data for south-eastern Australian releases 1942-1956, vol. 192. CSIRO Marine Laboratories Report.
34. Vignaux, M., 1994. Catch per unit of effort (CPUE) analysis of west coast south island and cook strait spawning hoki fisheries 1987-1993, vol. 11. NZ Fisheries Assessment Research Document.
35. Vignaux M. Analysis of spatial structure in fish distribution using commercial catch and effort data from the New Zealand hoki fishery. Can. J. Fish. Aquat. Sci. 53:1996;963-973.
36. Walker, T.I., 1989. Methods of tagging adopted in the southern shark fishery. In: Hancock, D.A. (Ed.), Tagging - Solution or Problem. Australian Government Publishing Service, Canberra, pp. 105-108.
37. Walker, T.I., 1994a. Fishery model of gummy shark, Mustelus antarcticus, for Bass Strait. In: Bishop, I. (Ed.), Resource Technology 1994: New Opportunities Best Practice. The Centre for Geographic Information Systems and Modelling, The University of Melbourne, Melbourne, pp. 422-438.
38. Walker, T.I., 1994b. Stock assessments of the gummy shark, Mustelus antarcticus Günther, in Bass Strait and off South Australia. In: Hancock, D.A. (Ed.), Population Dynamics for Fisheries Management. Australian Government Printing Service, Canberra, pp. 173-187.
39. Walker T.I. Can shark resources be harvested sustainably? A question revisited with a review of shark fisheries. Mar. Freshw. Res. 49:1998;553-572.
40. Walters C.J., Ludwig D. Calculation of Bayes posterior probability distributions for key population parameters. Can. J. Fish. Aquat. Sci. 51:1994;713-722.