Fishing effort analysis and its potential to evaluate stock size

Reviews in Fisheries Science

Volumn 14, Issue 4, 2006, Pages 369-393

  Bordalo Machado, Pedro ^a  

^a Instituto Nacional de Investigacao Agraria e das Pescas   (Portugal)

Author keywords

Commercial data; CPUE; Fishing fleet; Spatial

Indexed keywords

EID: 33751085388     PISSN: 10641262     EISSN: 15476553     Source Type: Journal    
DOI: 10.1080/10641260600893766     Document Type: Review

References (101)

1. Afonso-Dias M. A., J. M. Simões, C. Pinto, and P. Sousa. Use of Satellite GPS data to map effort and landings of the Portuguese crustacean fleet. Final report of the European Union study project 99/059 GEOCRUST (2002).
2. Akaike, H. Information theory and an extension of the maximum likelihood principle. pp. 268-281. In: Proceedings of the 2nd International Symposium on Information Theory. (Petrov, B. N., and F. Csaki, Eds.). Budapest: Publishing House of the Hungarian Academy of Sciences, (1973).
3. Arreguín-Sánchez, F., and T. J. Pitcher. Catchability estimates and their application to the red grouper (Epinephelus morio). Fish. Bull., 97: 747-757 (1999).
4. Ault, J. S., S. G. Smith, G. A. Diaz, and E. Franklin. Florida Hogfish Fishery Stock Assessment. Final report of the project contract no. FFWCC S 7701 617573, Florida Marine Research Institute Florida Fish & Wildlife Conservation Commission (2003).
5. Beverton, R. J. H., and S. J. Holt. Some problems concerning the relationship between fishing mortality and fishing intensity. In: On the Dynamics of Exploited Fish Populations. U.K. Minist. Agric. Fish. Food Fish. Invest. (Ser. 2) 19 (1957).
6. Biseau, A. Relationships between fishing powers and some vessels characteristics commonly used to estimate "fishing capacity." Example of the Celtic Sea French fleets. ICES C.M. 1991/B: 25 (1991).
7. Blöndal, J. Gill net and long-line fishing of Icelandic vessels: an analysis. In: Measurement of Fishing Effort. (J. A. Pope Ed.). Cons. Int. Explor. Mer., 168: 16-19 (1975).
8. Booth, A. J. Incorporating the spatial component of fisheries data into stock assessment models. ICES J. Mar. Sci., 57: 858-865 (2000).
9. Bordalo-Machado, P. Geostatistic analysis of seafloor depth in the Portuguese continental slope off Figueira da Foz-its application in GIS. M.Sc. thesis in Geographic Information Systems. Instituto Superior Técnico, Technical University of Lisbon, (2002).
10. Brandão, A., D. S. Butterworth, S. J. Johnston, and J. P. Glazer. Using a GLMM to estimate the somatic growth rate trend for male South African west coast rock lobster. Jasus lalandii. Fish. Res., 70: 339-349 (2004).
11. Branch, T.A., R. Hilborn, and E. Bogazzi. Escaping the tyranny of the grid: a more realistic way of defining fishing opportunities. Can. J. Fish. Aquat. Sci., 62: 631-642 (2005).
12. Caddy, J. F. Spatial model for an exploited shellfish population, and its application to the Georges Bank scallop fishery. J. Fish. Res. Board Can., 32: 1305-1328 (1975).
13. Caddy J. F., and F. Carocci. The spatial allocation of fishing intensity by port-based inshore fleets: a GIS application. ICES J. Mar. Sci., 56: 388-403 (1999).
14. Cadigan, N. G., and R. A. Myers. A comparison of gamma and lognormal maximum likelihood estimators in a sequential population analysis. Can. J. Fish. Aquat. Sci., 58: 560-567 (2001).
15. Caswell, H. Matrix Population Models: Construction, Analysis and Interpretation, 2nd Ed. Sinauer Associates Inc., Sunderland, USA (2000).
16. Crecco, V., and W. J. Overholtz. Causes of density dependent catchability for Georges Bank haddock (Melanogrammus aeglefinus). Can. J. Fish. Aquat. Sci., 47: 385-394 (1990).
17. Csirke, J. Small shoaling pelagic fish stocks. pp. 271-302. In: Fish Population Dynamics: The Implications for Management, 2nd Ed. Gulland J. A. (ed.). John Wiley & Sons, Ltd., New York (1988).
18. Cunningham, S., and Whitmarsh, D. Fishing effort and fisheries policy. Marine Policy, 4: 309-316 (1980).
19. DeLury, D. B. On the estimation of biological populations. Biometrics, 3: 145-167 (1947).
20. Dobson, A. J. An Introduction to Generalized Linear Models. London: Chapman and Hall (1990).
21. Dunin-Kwinta, I. Research on the fishing power of the Polish fishing fleet. In: Measurement of Fishing Effort. (J. A. Pope, Ed.). Cons. Int. Explor. Mer., 168: 20-26 (1975).
22. Dupont, W. D. A stochastic catch-effort method for estimating animal abundance. Biometrics, 39: 1021-1033 (1983).
23. FAO. Guidelines for the routine collection of capture fishery data. FAO Fish. Tech. Paper No. 382, Food and Agriculture Organization of the United Nations, Rome (1999).
24. Fisher, R. A. Theory of statistical information. Proc. Cambridge Philos. Soc., 22: 700-725 (1925).
25. Fox, D. S., and R. M. Starr. Comparison of commercial fishery and research catch data. Can. J. Fish. Aquat. Sci., 53: 2681-2694 (1996).
26. Fretwell, S. D., and H. L. Lucas. On territorial behaviour and other factors influencing the habitat distribution of birds. I. Theoretical development. Acta Biotheor, 19: 16-36 (1970).
27. Gaertner, D., and M. Dreyfus-Leon. Analysis of non-linear relationships between catch per unit effort and abundance in a tuna purse-seine fishery simulated with artificial neural networks. ICES J. Mar. Sci., 61: 812-820 (2004).
28. Gavaris, S. Use of a multiplicative model to estimate catch rate and effort from commercial data. Can. J. Fish. Aquat. Sci., 37: 2272-2275 (1980).
29. Gillis, D. M., R. M. Peterman, and A. V. Tyler. Movement dynamics in a fishery: application of the ideal free distribution to spatial allocation of effort. Can. J. Fish. Aquat. Sci., 50: 323-333 (1993).
30. Goovaerts, P. Geostatistics for Natural Resources Evaluation. New York: Oxford University Press, (1997).
31. Gould, W. R., and K. H. Pollock. Catch-effort maximum likelihood estimation of important population parameters. Can. J. Fish. Aquat. Sci., 54: 890-897 (1997).
32. Graham, M. H. Confronting multicollinearity in ecological multiple regression. Ecology, 84: 2809-2815 (2003).
33. Guichet, R. Relations entre le pouvoir de pêche et les caractéristiques des chalutiers de la Rochelle dans la pêche du merlu. In: Measurement of Fishing Effort. (J. A. Pope Ed.). Cons. Int. Explor. Mer., 168: 13-15 (1975).
34. Gulland, J.A. On the fishing effort in English demersal trawl fisheries. U.K. Minist. Agric. Fish. Food Fish. Invest. (Ser. 2), 20: 1-41 (1956).
35. Gulland, J. A. Catch per unit effort as a measure of abundance. Rapp. P.-v. Réun. Cons. Int. Explor. Mer., 155: 66-70 (1964).
36. Gulland, J. A. FAO/Wiley Series on Food and Aquaculture, 1: Fish Stock Assessment: A Manual of Basic Methods. New York: John Wiley and Sons (1983).
37. Harley, S. J., R. A. Myers, and A. Dunn. Is catch-per-unit-effort proportional to abundance? Can. J. Fish. Aquat. Sci., 58: 1760-1772 (2001).
38. Hilborn, R. Fleet dynamics and individual variation: why some people catch more fish than others. Can. J. Fish. Aquat. Sci., 42: 2-13 (1985).
39. Hilborn, R., and R. B. Kennedy. Spatial pattern in catch rates: a test of economic theory. Bull. Math. Biol., 54: 263-273 (1992).
40. Hilborn, R., and C. J. Walters. Quantitative Fisheries Stock Assessment, 2nd Ed. London: Chapman & Hall (1992).
41. Houghton, R. G. The fishing power of trawlers in the western English channel between 1965 and 1968. ICES J. Mar. Sci., 37: 130-136 (1977).
42. Hovart, P., and K. Michielsen. Relationship between fishing power and vessel characteristics of Belgian Beam trawlers. In: Measurement of Fishing Effort. (J. A. Pope, Ed.). Cons. Int. Explor. Mer., 168: 7-10 (1975).
43. Hvingel, C., H. Lassen, and D. G. Parsons. A biomass Iindex for northern shrimp (Pandalus borealis) in Davis Strait based on multiplicative modelling of commercial catch-per-unit-effort data (1976-97). J. Northw. Atl. Fish. Sci., 26: 25-36 (2000).
44. Isaaks, E. H., and R. M. Srivastava. An Introduction to Applied Geostatistics. New York: Oxford University Press (1989).
45. Karger, W. Relationship between fishing power and characteristics of stern trawlers in midwater trawling. In: Measurement of Fishing Effort. (J. A. Pope Ed.). Cons. Int. Explor. Mer., 168: 27-29 (1975).
46. 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: 211-218 (1981).
47. Kirchner, C., and M. McAllister. A new improved method to compute swept area estimates of biomass from commercial catch rate data: application to Namibian orange roughy (Hoplostethus atlanticus). Fish. Res., 56: 69-88 (2002).
48. Kulka, D. W., L. Hendrickson, N. Bez, R. Schlitzer, G. A. P. Black, and M. R. Simpson. Workshop on mapping and geostatistical methods for fisheries stock assessment. NAFO Sci. Coun. Studies, 39: 1-43 (2005).
49. Kulka, D. W., A. T. Pinhorn, R. G. Halliday, D. Pitcher, and D. Stansbury. Accounting for changes in spatial distribution of groundfish when estimating abundance from commercial fishing data. Fish. Res., 28: 321-342 (1996).
50. Kulka, D.W., and D. A. Pitcher. Spatial and Temporal Patterns in Trawling Activity in the Canadian Atlantic and Pacific. ICES C.M. 2001/R:02. Copenhagen, Denmark (2001).
51. Large, P. A., and R. C. A. Bannister. The fishing power of Lowestoft trawlers fishing for plaice in the North Sea. Fisheries Research Technical Report, MAFF Directorate of Fisheries Research, Lowestoft, United Kingdom (1986).
52. Le Pape, O., and J. Vigneau. The influence of vessel size and fishing strategy on the fishing effort for multispecies fisheries in northwestern France. ICES J. Mar. Sci., 58: 1232-1242 (2001).
53. Leslie, P.H., and D. H. S. Davis. An attempt to determine the absolute number of rats on a given area. J. Anim. Ecol., 8: 94-113 (1939).
54. Lorance P., and H. Dupouy. CPUE abundance indices of the main target species of the French deep-water fishery in ICES Sub-areas V-VII. Fish. Res., 51: 137-149 (2001).
55. Mahévas, S., Y. Sandon, and A. Biseau. Quantification of annual variations in fishing power due to vessel characteristics: an application to the bottom-trawlers of South-Brittany targeting anglerfish (Lophius budegassa and Lophius piscatorius). ICES J. Mar. Sci., 61: 71-83 (2004).
56. Marchal, P., J. R. Nielsen, H. Hovgyȧrd, and H. Lassen. Time changes in fishing power in the Danish cod fisheries of the Baltic Sea. ICES J. Mar. Sci., 58: 298-310 (2001).
57. Marchal, P., C. Ulrich, K. Korsbrekke, M. Pastoors, and B. Rackham. Annual trends in catchability and fish stock assessments. Scient. Mar., 67: 63-73 (2003).
58. Marrs, S. J., I. D. Tuck, R. J. A. Atkinson, T. D. I. Stevenson, and C. Hall. Position data loggers and logbooks as tools in fisheries research: results of a pilot study and some recommendations. Fish. Res., 58: 109-117 (2002).
59. Maunder M. N., and A. E. Punt. Standardizing catch and effort data: a review of recent approaches. Fish. Res., 70: 141-159 (2004).
60. Maynou, F. X., F. Sardà, and G. Y. Conan. Assessment of the spatial structure and biomass evaluation of Nephrops norvegicus (L.) populations in the northwestern Mediterranean by geostatistics. ICES J. Mar. Sci., 55: 102-120 (1998).
61. McCullagh, P., and J. A. Nelder. Generalized Linear Models. London: Chapman and Hall (1989).
62. Millischer, L., D. Gascuel, and A. Biseau. Estimation of the overall fishing power: A study of the dynamics and fishing strategies of Brittany's industrial fleets. Aquat. Living Resour., 12: 89-103 (1999).
63. Nishida T., and D. G. Chen. Incorporating spatial autocorrelation into the general linear model with an application to the yellowfin tuna (Thunnus albacares) longline CPUE data. Fish. Res., 70: 265-274 (2004).
64. Padilla J. E., and A. C. Trinidad. An application of production theory to fishing effort standardization in the small-pelagics fishery in central Philippines. Fish. Res., 22: 137-153 (1995).
65. Paloheimo, J. E., and L. M. Dickie. Abundance and fishing success. Rapp. P.-v. Réun. Cons. Int. Explor. Mer., 155: 152-163 (1964).
66. Parente, J. Predictors of CPUE and standardization of fishing effort for the Portuguese coastal seine fleet. Fish. Res., 69: 381-387 (2004).
67. Pascoe, S., and C. Robinson, C. Measuring changes in technical efficiency over time using catch and stock information. Fish. Res., 28: 305-319 (1996).
68. Pelletier, D., and A. M. Parma. Spatial distribution of halibut (Hippoglossus stenolepsis): An application of geostatistics to longline survey data. Can. J. Fish. Aquat. Sci., 51: 1506-1517 (1994).
69. Petitgas, P. Geostatistics in fisheries survey design and stock assessment: Models, variances and applications. Fish and Fisheries, 2:231-249 (2001).
70. Petitgas, P., J. C. Poulard, and A. Biseau. Comparing commercial and research survey catch per unit of effort: megrim in the Celtic Sea. ICES J. Mar. Sci., 60: 66-76 (2003).
71. Pitcher, C. R., I. R. Poiner, B. J. Hill, and C. Y. Burridge. Implications of the effects of trawling on sessile megazoobenthos on a tropical shelf in north-eastern Australia. ICES J. Mar. Sci., 57: 1359-1368 (2000).
72. Pope, J. G., and J. G. Shepherd. A comparison of the performance of various methods for tuning VPAs using effort data. J. Cons. Int. Explor. Mer., 42: 129-151 (1985).
73. Pope, J. G. Collecting fisheries assessment data. pp. 63-82. In: Fish Population Dynamics: The Implications for Management 2nd Ed. Gulland, J. A. (ed.). New York: John Wiley & Sons, Ltd. (1988).
74. Potier, M., E. Elguero, and D. Petit. Vessel concentrations in the Javanese purse seine fishery: structuration through spatial approach. Aquat. Living Resour., 13: 57-63 (2000).
75. Punt, A. E., T. I. Walker, B. L. Taylor, and F. Pribac. Standardization of catch and effort data in a spatially-structured shark fishery. Fish. Res., 45: 129-145 (2000).
76. Radovich, J. Catch-per-unit-of-effort: Fact, fiction, or dogma. Mar. Res. Comm., Calif. Coop. Ocean. Fish. Invest., Rept., 18: 31-33 (1976).
77. Ricker, W. E. Handbook of computations for biological statistics of fish populations. Bull. Fish. Res. Board Can., 119 (1958).
78. Rijnsdorp, A. D., A. M. Buys, F. Storbeck, and E. G. Visser. Micro-scale distribution of beam trawl effort in the southern North Sea between 1993 and 1996 in relation to the trawling frequency of the sea bed and the impact on benthic organisms. ICES J. Mar. Sci., 55: 403-419 (1998).
79. Rijnsdorp, A. D., W. Dol, M. Hoyer, and M. A. Pastoors. Effects of fishing power and competitive interactions among vessels on the effort allocation on the trip level of the Dutch beam trawl fleet. ICES J. Mar. Sci., 57: 927-937 (2000).
80. Rivoirard, J., E. Simmonds, K. Foote, P. Fernandes, and N. Bez. Geostatistics for Estimating Fish Abundance. London: Blackwell Science (2000).
81. Robins, C. M., Y.-G. Wang, and D. Die. The impact of global positioning systems and plotters on fishing power in the northern prawn fishery, Australia. Can. J. Fish. Aquat. Sci., 55: 1645-1651 (1998).
82. Robson, D. S. Estimation of the relative fishing power of individual ships. Research Bulletin, International Commission for the Northwest Atlantic Fisheries, 3: 5-14 (1966).
83. Rodríguez-Marín, E., H. Arrizabalaga, M. Ortiz, C. Rodríguez-Cabello, G. Moreno, and L. T. Kell. 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 (2003).
84. Rose, G.A., and D. W. Kulka. Hyperaggregation of fish and fisheries: how catch-per-unit-effort increased as the northern cod (Gadus morhua) declined. Can. J. Fish. Aquat. Sci., 56(suppl.1): 118-127 (1999).
85. Rothschild, B.J. Fishing effort. In: Fish Population Dynamics. pp. 96-115. (J. A. Gulland, Ed.). Chichester John Wiley and Sons (1977).
86. Salthaug, A., and O. R. Godø. Standardisation of commercial CPUE. Fish. Res., 49: 271-281 (2001).
87. Sánchez, P., F. Maynou, and M. Demestre. Modelling catch, effort and price in a juvenile Eledone cirrhosa fishery over a 10-year period. Fish. Res., 68: 319-327 (2004).
88. Sanders M. J., and A. J. Morgan. Fishing Power, fishing effort, density, fishing intensity and fishing mortality. J. Cons. Int. Explor. Mer., 37: 36-40 (1976).
89. Schwartz C. J., and G. A. F. Seber. A review of estimating animal abundance III. Statistical Science, 14: 427-456 (1999).
90. Shepherd, J. G. Fishing effort control: could it work under the common fisheries policy? Fish. Res., 63:149-153 (2003).
91. Shepherd, J. G. Small shoaling pelagic fish stocks. pp. 35-62. In: Fish Population Dynamics: The Implications for Management, 2nd Ed. (Gulland, J. A. (ed.). New York: John Wiley & Sons, Ltd. (1988).
92. Simard, Y., P. Legendre, G. Lavoie, and D. Marcotte. Mapping, estimating biomass, and optimizing sampling programs fro spatially autocorrelated data: case study of the Northern shrimp (Pandalus borealis). Can. J. Fish. Aquat. Sci., 49: 32-45 (1992).
93. Swain, D. P., G. A. Nielsen, A. F. Sinclair, and G. A. Chouinard. Changes in catchability of Atlantic cod (Gadhus morhua) of an otter-trawl fishery and research survey in the southern Gulf of St Lawrence. ICES J. Mar. Sci., 51: 493-504 (1994).
94. Swain, D. P., and E. J. Wade. Spatial distribution of catch and effort in a fishery for snow crab (Chionoecetes opilio); tests of predictions of the ideal free distribution. Can. J. Fish. Aquat. Sci., 60: 897-909 (2003).
95. Taylor, T. G., and F. J. Prochaska. Fishing power functions in aggregate bioeconomic models. Marine Resource Economics, 2: 87-107 (1986).
96. Verdoit, M., D. Pelletier, and B. Bellail. Are commercial logbook and scientific CPUE data useful for characterizing the spatial and seasonal distribution of exploited populations? The case of the Celtic Sea whiting. Aquat. Living Resour., 16: 467-485 (2003).
97. 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: 963-973 (1996).
98. Walsh, W. A., P. Kleiber, and M. McCracken. Comparison of logbook reports of incidental blue shark catch rates by Hawaii-based longline vessels to fishery observer data by application of a generalized additive model. Fish. Res., 58: 79-94 (2002).
99. Walters, C. J., and R. Bonfil. Multispecies spatial assessment models for the British Columbia ground-fish trawl fishery. Can. J. Fish. Aquat. Sci., 56: 601-628 (1999).
100. Xiao, Y. Use of individual types of fishing effort in analyzing catch and effort data by use of a generalized linear model. Fish. Res., 70: 311-318 (2004).
101. Zijlstra, J. J., and J. F. de Veen. On the relative fishing power of Dutch trawlers. J. Cons. Int. Explor. Mer., 28: 241-245 (1963).