Methods for stock assessment of crustacean fisheries

Fisheries Research

Volumn 65, Issue 1-3, 2003, Pages 231-256

  Smith, Michael T ^a   Addison, Julian T ^a  

^a CENTRE FOR ENVIRONMENT   (United Kingdom)

Author keywords

Crustacean fisheries; Stock assessment; Uncertainty

Indexed keywords

CRUSTACEAN; FISHERY; METHODOLOGY; STOCK ASSESSMENT; UNCERTAINTY ANALYSIS;

CRUSTACEA;

EID: 0348160077     PISSN: 01657836     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fishres.2003.09.017     Document Type: Conference Paper

References (205)

1. Addison, J.T., 1986. Density-dependent mortality and the relationship between size composition and fishing effort in lobster populations. Can. J. Fish. Aquat. Sci. 43, 2360-2367.
2. Addison, J.T., Bannister, R.C.A., 1998. Quantifying potential impacts of behavioural factors on crustacean stock monitoring and assessment: modeling and experimental approaches. In: Jamieson, G.S., Campbell, A. (Eds.), Proceedings of the North Pacific Symposium on Invertebrate Stock Assessment and Management. Can. Spec. Pub. Fish. Aquat. Sci. 125, pp. 167-178.
3. Addison, J.T., Bennett, D.B., 1992. Assessment of minimum landing sizes of the edible crab, Cancer pagurus L., on the east coast of England. Fish. Res. 13, 67-88.
4. Allen, K.R., 1966. Some methods for estimating exploited populations. J. Fish. Res. Bd. Can. 23, 1553-1574.
5. Bannister, R.C.A., 1986. Assessment and population dynamics of commercially exploited shellfish in England and Wales. In: Jamieson, G.S., Bourne, N. (Eds.), Proceedings of the North Pacific Workshop on Stock Assessment and Management of Invertebrates. Can. Spec. Pub. Fish. Aquat. Sci. 92, pp. 182-194.
6. Bannister, R.C.A., Addison, J.T., 1986. Effect of assumptions about the stock recruitment relationship on a lobster (Homarus gammarus) stock assessment. Can. J. Fish. Aquat. Sci. 43, 2353-2359.
7. Barbeau, M.A., Caswell, H., 1999. A matrix model for short-term dynamics of seeded populations of sea scallops. Ecol. Appl. 9, 266-287.
8. Bergh, M.O., Johnston, S.J., 1992. A size-structured model for renewable resource management with applications to resources of rock lobster in the south-east Atlantic. S. Afr. J. Mar. Sci. 12, 1005-1016.
9. Beverton, R.J.H., Holt, S.J., 1957. On the Dynamics of Exploited Fish Populations. Chapman & Hall, London.
10. Bishop, G.H., Koeneman, T.M., Botelho, C.A., 2000. Development of a management and stock assessment program for the pot shrimp fishery for Pandalus platyceros in southeastern Alaska. J. Shellfish Res. 19, 559-560.
11. Botsford, L.W., Moloney, C.L., Largier, J.L., Hastings, A., 1998. Metapopulation dynamics of meroplanktonic invertebrates: the Dungeness crab (Cancer magister) as an example. In: Jamieson, G.S., Campbell, A. (Eds.), Proceedings of the North Pacific Symposium on Invertebrate Stock Assessment and Management. Can. Spec. Publ. Fish. Aquat. Sci. 125, pp. 295-306.
12. Bratten, D.O., 1969. Robustness of the DeLury population estimator. J. Fish. Res. Bd. Can. 26, 339-355.
13. Breen, P.A., Kendrick, T.H., 1998. An evaluation of surplus production analysis for assessing the fishery for New Zealand red rock lobsters (Jasus edwarsii). In: Jamieson, G.S., Campbell, A. (Eds.), Proceedings of the North Pacific Symposium on Invertebrate Stock Assessment and Management. Can. Spec. Pub. Fish. Aquat. Sci. 125, pp. 213-223.
14. Butterworth, D.S., Punt, P.A., 1992. Assessments of the East Greenland-Iceland fin whale stock. Rep. Int. Whal. Comm. 42, 671-696.
15. Caddy, J.F., Mahon, R., 1995. Reference points for fisheries management. FAO Fisheries Technical Paper 347. FAO, Rome, 83 pp.
16. Caddy, J.F., Seijo, J.C., 1998. Application of a spatial model to explore rotating harvest strategies for sedentary species. In: Jamieson, G.S., Campbell, A. (Eds.), Proceedings of the North Pacific Symposium on Invertebrate Stock Assessment and Management. Can. Spec. Publ. Fish. Aquat. Sci. 125, pp. 359-365.
17. Cadrin, S.X., 2000. Evaluating two assessment methods for Gulf of Maine northern shrimp based on simulations. J. Northw. Atl. Fish. Sci. 27, 119-132.
18. Cadrin, S.X., Estrella, B.T., 1996. Length cohort analyses of the US American lobster stocks. Northeast Fisheries Center Reference Document 96-15, 26 pp.
19. Cadrin, S.X., Vaughan, D.S., 1997. Retrospective analysis of virtual population estimates for Atlantic menhaden stock assessment. Fish. Bull. 95, 445-455.
20. Caswell, H., 1989. Matrix Population Models. Sinauer Associates, Sunderland, MA.
21. Chapman, D.G., 1974. Estimation of population size and sustainable yield of Sei whales in the Antarctic. Rep. Int. Whal. Comm. 24, 82-90.
22. Chen, C.L., 1995. Change-in-ratio methods. Ph.D. thesis. Dept. of Statistics, North Carolina State University, Rayleigh, N.C.
23. Chen, C.L., Hoenig, J.M., Dawe, E.G., Brownie, C., Pollock, K.H., 1998. New developments in change-in-ratio and index-removal methods, with application to snow crab (Chionoecetes opilio). In: Jamieson, G.S., Campbell, A. (Eds.), Proceedings of the North Pacific Symposium on Invertebrate Stock Assessment and Management. Can. Spec. Publ. Fish. Aquat. Sci. 125, pp. 49-61.
24. Collie, J.S., Kruse, G.H., 1998. Estimating king crab (Paralithodes camtschaticus) abundance from commercial catch and research survey data. In: Jamieson, G.S., Campbell, A. (Eds.), Proceedings of the North Pacific Symposium on Invertebrate Stock Assessment and Management. Can. Spec. Publ. Fish. Aquat. Sci. 125, pp. 73-83.
25. Collie, J.S., Sissenwine, M.P., 1983. Estimating population size from relative abundance data measured with error. Can. J. Fish. Aquat. Sci. 40, 1871-1879.
26. Comeau, M., Mallet, M., 2001. Estimating mortality rates by capture-recapture, catch-effort and change-in-ratio models for a spring American lobster (Homarus americanus) fishery (LFA 23). Can. Tech. Rep. Fish. Aquat. Sci. 2373, 25 pp.
27. Conser, R.J., 1991. A DeLury model for scallops incorporating length-based selectivity of the recruiting year-class to the survey gear and partial recruitment to the commercial fishery. Northeast Regional Stock Assessment Workshop Report, Woods Hole, MA, Res. Doc. SAW12/2, Appendix to CRD-91-03, 18 pp.
28. Conser, R.J., 1993. A brief history of ADAPT. In: Mohn, R.K., Cook, R. (Eds.), Introduction to sequential population analysis. Northw. Atl. Fish. Org. Sci. Counc. Stud. 17, 83-88.
29. Conser, R., Idoine, J.S., 1992. A modified DeLury model for estimating mortality rates and stock sizes of American lobster populations. North East Fisheries Science Center Reference Document No. 14/7.
30. Conser, R., Powers, J.E., 1989. Extension of the ADAPT VPA tuning method designed to facilitate assessment work on tuna and swordfish stocks. ICCAT W.D. SCRS/89/43.
31. Cooke, J.G., 1985. On the relationship between catch per unit effort and whale abundance. Rep. Int. Whal. Comm. 35, 511-519.
32. Darby, C.D., Flatman, S., 1994. Virtual population analysis, version 3.1 (Windows/Dos), User Guide. Info. Tech. Ser. No. 1. MAFF Direct. Fish. Res., Lowestoft, 85 pp.
33. Dawe, E.G., Hoenig, J.M., Xu, X., 1993. Change-in-ratio and index-removal methods for population assessment and their application to snow crab (Chionoecetes opilio). Can. J. Fish. Aquat. Sci. 50, 1467-1476.
34. DeLury, D.B., 1947. On estimation of biological populations. Biometrics 3, 145-167.
35. Deriso, R.B., 1980. Harvesting strategies and parameter estimation for an age structured model. Can. J. Fish. Aquat. Sci. 37, 268-282.
36. Deriso, R.B., Quinn, T.J., Neal, P.R., 1985. Catch-age analysis with auxiliary information. Can. J. Fish. Aquat. Sci. 42, 815-824.
37. Doubleday, W.G., 1976. A least squares approach to analysing catch-at-age data. Res. Bull. Int. Comm. Northw. Atl. Fish. 12, 69-81.
38. Eberhardt, L.L., 1982. Calibrating an index using removal data. J. Wildl. Mgmt. 46, 734-740.
39. Ebert, T.A., Ford, R.F., 1986. Population ecology and fishery potential of the spiny lobster Panulirus penicillatus at Enewatak Atoll, Marshall Islands. Bull. Mar. Sci. 38, 56-67.
40. Edser, T., 1908. Note on the number of plaice at each length, in certain samples from the southern part of the North Sea, 1906. J. R. Stat. Soc. 71, 686-690.
41. Efron, B., 1981. Nonparametric estimates of standard error: the jackknife, bootstrap and other methods. Biometrika 68, 589-599.
42. Efron, B., 1982. The jackknife, the bootstrap and other resampling plans. Society for Industrial and Applied Mathematics, Philadelphia, 92 pp.
43. Efron, B., 1985. Bootstrap confidence intervals for a class of parametric problems. Biometrika 72, 45-58.
44. Efron, B., 1987. Better bootstrap confidence intervals. J. Am. Stat. Assoc. 82, 171-185.
45. Ennis, G.P., Fogarty, M.J., 1997. Recruitment overfishing reference point for the American lobster, Homarus americanus. Mar. Freshwat. Res. 48, 1029-1034.
46. FAO, 2001. FAO Yearbook. Fishery Statistics, vol. 88/2. Food and Agriculture Organization of the United Nations, Rome.
47. Fletcher, R.I., 1978. Time-dependent solutions and efficient parameters for stock production models. Fish. Bull. 76, 377-388.
48. Fogarty, M.J., 1998. Implications of migration and larval interchange in American lobster (Homarus americanus) stocks: spatial structure and resilience. In: Jamieson, G.S., Campbell, A. (Eds.), Proceedings of the North Pacific Symposium on Invertebrate Stock Assessment and Management. Can. Spec. Publ. Fish. Aquat. Sci. 125, pp. 273-283.
49. Fogarty, M.J., Idoine, J.S., 1986. Recruitment dynamics in an American lobster (Homarus americanus) population. Can. J. Fish. Aquat. Sci. 43, 2368-2376.
50. Fogarty, M.J., Idoine, J.S., 1988. Application of a yield and egg production model based on size to an offshore American Lobster population. Trans. Am. Fish. Soc. 117, 350-362.
51. Fogarty, M.J., Murawski, S.A., 1986. Population dynamics and assessment of exploited invertebrate stocks. In: Jamieson, G.S., Bourne, N. (Eds.), North Pacific Workshop on Stock Assessment and Management of Invertebrates. Can. Spec. Publ. Fish. Aquat. Sci. 92, pp. 228-244.
52. Fournier, D.A., Archibald, C.P., 1982. A general theory for analysing catch-at-age data. Can. J. Fish. Aquat. Sci. 39, 1195-1207.
53. Fournier, D.A., Doonan, I., 1987. A length-based stock assessment method utilizing a generalized delay difference model. Can. J. Fish. Aquat. Sci. 44, 422-437.
54. Fox, W.W., 1970. An exponential surplus-yield model for optimizing exploited fish populations. Trans. Am. Fish. Soc. 99, 80-88.
55. Freon, P., 1988. Introduction of environmental variables into global production models. In: Wyatt, T., Larraneta, M.G. (Eds.), International Symposium on Long Term Changes in Marine Fish Population, Vigo, Spain. Consejo Superior de Investigaciones Cientificas, pp. 481-528.
56. Freon, P., Mullon, C., Pichon, G., 1990. Climprod: a fully interactive expert-system software for choosing and adjusting a global production model which accounts for changes in environmental factors. In: Kauasaki, T., Tanaka, S., Toba, Y., Taniguchi, A. (Eds.), Long-term Variability of Pelagic Fish Populations and Their Environment. Pergamon Press, Oxford, pp. 347-357.
57. Frusher, S.D., Kennedy, R.B., Gibson, I.D., 1998. Preliminary estimates of exploitation rates in the Tasmanian rock lobster (Jasus edwardsii) fishery using change-in-ratio and index-removal techniques with tag-recapture data. In: Jamieson. G.S., Campbell, A. (Eds.), Proceedings of the North Pacific Symposium on Invertebrate Stock Assessment and Management. Can. Spec. Publ. Fish. Aquat. Sci. 125, pp. 63-71.
58. Frusher, S.D., Hoenig, J.M., Gardner, C., 2003. Have changes in selectivity masked recruitment declines in crustacean trap fisheries? Fish. Res. 65, 467-474.
59. Garcia-Rodriguez, M., Esteban, A., 1999. On the biology and fishery of Aristeus antennatus (Risso, 1816), (Decapoda, Dendrobranchiata) in the Ibiza Channel (Balearic Islands. Spain). Sci. Mar. (Barc.) 63, 27-37.
60. Gavaris, S., 1988. An adaptive framework for the estimation of population size. Res. Doc. Can. Atl. Fish. Scient. Adv. Comm. (CAFSAC) 88/29, 12 pp.
61. Gelman, A., Carlin, J.B., Stern, H.S., Rubin, D.B., 1995. Bayesian Data Analysis. Chapman & Hall, London.
62. Getz, W.M., Haight, R.G., 1989. Population Harvesting. Demographic Models of Fish, Forest and Animal Resources. University Press, Princeton, 388 pp.
63. Graham, M., 1935. Modern theory of exploiting a fishery and application to North Sea trawling. J. Cons. Int. Explor. Mer. 10, 264-274.
64. Gudmundsson, G., 1986. Statistical considerations in the analysis of catch at age observations. J. Cons. Int. Explor. Mer. 43, 83-90.
65. Gudmundsson, G., 1994. Time series analysis of catch at age observations. Appl. Statist. 43, 117-126.
66. Gulland, J.A., 1965. Estimation of mortality rates. Arctic Fisheries Workshop Group Report. ICES CM. 1965.3 (Annex).
67. Gulland, J.A., 1983. Fish Stock Assessment. FAO/Wiley, Chichester, UK.
68. Hall, N.G., 1997. Delay-difference model to estimate the catch of different categories of the western rock lobster (Panulirus cygnus) for the two stages of the annual fishing season. Mar. Freshwat. Res. 48, 949-958.
69. Hanski, I., 1999. Metapopulation Ecology. Oxford University Press, New York.
70. Hastings, W.K., 1970. Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57, 97-109.
71. Heincke, F., 1913. Investigations on the plaice. General Report. 1. Plaice fishery and protective regulations, Part I. Rapp. P-V. Reun. Cons. Perm. Int. Explor. Mer. 17A, 1-153.
72. Helland, A., 1913-1914. Rovdyrene i Norge. Tidsskrift for Skogbruk 1913-1914.
73. Hilborn, R., 1976. Optimal exploitation of multiple stocks by a common fishery: a new methodology. J. Fish. Res. Bd. Can. 33, 1-5.
74. Hilborn, R., 1979. Comparison of fisheries control systems that utilize catch and effort data. J. Fish. Res. Bd. Can. 36, 1477-1489.
75. Hilborn, R., 1990. Estimating the parameters of full age structured models from catch and abundance data. Bull. Int. N. Pac. Fish. Comm. 50, 207-213.
76. Hilborn, R., 1997. Lobster stock assessment: report from a workshop, II. Mar. Freshwat. Res. 48, 945-947.
77. Hilborn, R., Walters, C.J., 1992. Quantitative Fisheries Stock Assessment: Choice, Dynamics and Uncertainty. Chapman & Hall, New York, 570 pp.
78. Hjort, J., Jahn, G., Ottestad, P., 1933. The optimum catch. Hvalradets Skr. 7, 92-127.
79. Hobday, D.K., Ryan, T.J., 1997. Contrasting sizes at sexual maturity of southern rock lobsters (Jasus edwardsii) in the two Victorian fishing zones: implications for total egg production and management. Mar. Freshwat. Res. 48, 1009-1014.
80. Horbowy, J., 1992. The differential alternative to the Deriso difference production model. ICES J. Mar. Sci. 49, 167-174.
81. ICES, 1998. Report of the Study Group on the Assessment of Other Fish and Shellfish Species. ICES CM 1998/ACFM:2.
82. ICES, 2001a. Report of the Working Group on Nephrops Stocks. ICES CM 2001/ACFM:16.
83. ICES, 2001b. Report of the Pandalus Assessment Working Group. ICES CM 2001/ACFM:04.
84. ICES, 2002. Report of the Working Group on Nephrops Stocks. ICES CM 2002/ACFM:15.
85. Jacobsen, D.L., MacCallum, W.R., Sprangler, G.R., 1987. Biomass dynamics of Lake Superior lake herring (Coregonus artedii): application of Schute's difference model. Can. J. Fish. Aquat. Sci. 44 (Suppl. 2), 275-288.
86. Jones, R., 1981. The use of length composition data in fish stock assessments (with notes on VPA and cohort analysis). FAO Fish. Circ. 734. FAO, Rome.
87. Jones, R., 1984. Assessing the effects of changes in exploitation pattern using length composition data (with notes on VPA and cohort analysis). FAO Fisheries Technical Paper 256. FAO, Rome.
88. Jones, R., van Zalinge, N.P., 1981. Estimates of mortality rate and population size for shrimp in Kuwait waters. Kuwait Bull. Mar. Sci. 2, 273-288.
89. Ju, S.-J., Secor, D.H., Harvey, H.R., 2001. Growth variability and lipofuscin accumulation rates in the blue crab Callinectes sapidus. Mar. Ecol. Prog. Ser. 224, 197-205.
90. Kalman, R.E., 1960. A new approach to linear filtering and prediction problems. Trans. ASME J. Basic Eng. 82, 35-45.
91. Kelker, G.H., 1940. Estimating deer populations by a differential hunting loss in the sexes. Proc. Utah Acad. Sci. Arts Lett. 17, 6-69.
92. Kimura, D.K., 1985. Changes to stock reduction analysis indicated by Schnute's general theory. Can. J. Fish. Aquat. Sci. 42, 2059-2060.
93. Kimura, D.K., 1989. Variability, tuning and simulation for the Doubleday-Deriso catch-at-age model. Can. J. Fish. Aquat. Sci. 46, 941-949.
94. Kimura, D.K., Balsiger, J.W., Ito, D.H., 1984. Generalized stock reduction analysis. Can. J. Fish. Aquat. Sci. 41, 1325-1333.
95. Kimura, D.K., Balsiger, J.W., Ito, D.H., 1996. Kalman filtering the delay-difference equation: practical approaches and simulations. Fish. Bull. 94, 678-691.
96. Kruse, G.H., Collie, J.S., 1991. Preliminary application of a population size estimation model to the Bristol Bay stock of red king crabs. Alaska Department of Fish and Game, Division of Commercial Fisheries, Juneau, Alaska. Regional Information Report No. 5J91-09, 25 pp.
97. Lai, H.-L., Bradbury, A., 1998. A modified catch-at-size analysis model for a red sea urchin (Strongylocentrotus franciscanus) population. In: Jamieson, G.S., Campbell, A. (Eds.), Proceedings of the North Pacific Symposium on Invertebrate Stock Assessment and Management. Can. Spec. Publ. Fish. Aquat. Sci. 125, pp. 85-96.
98. Lai, H.-L., Gallucci, V.F., 1988. Effects of parameter variability on length cohort analysis. J. Cons. Int. Explor. Mer. 45, 82-92.
99. Leslie, P.H., 1945. On the use of matrices in certain population mathematics. Biometrika 3, 183-212.
100. Leslie, P.H., Davis, D.H.S., 1939. An attempt to determine the absolute number of rats on a given area. J. Anim. Ecol. 8, 94-113.
101. Ludwig, D., Hilborn, R., 1983. Adaptive probing strategies for age structured fish stocks. Can. J. Fish. Aquat. Sci. 40, 559-569.
102. Maigret, J., 1977. Standing stock of Palinurus mauritanicus Gruvel, 1911 (rose lobster) on the Mauritanian coast. Invest. Pesq. (Barc.) 43, 83-94.
103. Methot, R.D., 1990. Synthesis model: an adaptive framework for analysis of diverse stock assessment data. Int. N. Pac. Fish. Comm. Bull. 50, 259-277.
104. Meyer, R., Millar, R.B., 1999a. BUGS in Bayesian stock assessments. Can. J. Fish. Aquat. Sci. 56, 1078-1087.
105. Meyer, R., Millar, R.B., 1999b. Bayesian stock assessment using a state-space implementation of the delay difference model. Can. J. Fish. Aquat. Sci. 56, 37-52.
106. Millar, R.B., Meyer, R., 2000. Bayesian state-space modelling of age-structured data: fitting a model is just the beginning. Can. J. Fish. Aquat. Sci. 57, 43-50.
107. Miller, R.J., 1990. Effectiveness of crab and lobster traps. Can. J. Fish. Aquat. Sci. 47, 1228-1251.
108. Miller, R.J., Mohn, R.K., 1989. Less Leslie please. Can. Atl. Sci. Adv. Commn Res. Doc. 89/22, 20 pp.
109. Moguel, C.E.Z., Lara, G.V.R., 1998. Stock assessment of spiny lobster, Panulirus argus, along the Yucatan coast using different models. In: Creswell, R.L. (Ed.), Proc. Gulf Carrib. Fish. Inst., No. 50, pp. 162-175.
110. Mohan, R., 1997. Size structure and reproductive variation of the spiny lobster Panulirus homarus over a relatively small geographic range along the Dhofar coast in the sultanate of Oman. Mar. Freshwat. Res. 48, 1085-1091.
111. Mohn, R.K., 1980. Bias and error propagation in logistic models. Can. J. Fish. Aquat. Sci. 37, 1276-1283.
112. Mohn, R.K., 1999. The retrospective problem in sequential population analysis: an investigation using cod fishery and simulated data. ICES J. Mar. Sci. 56, 473-488.
113. Moran, P.A.P., 1951. A mathematical theory of animal trapping. Biometrika 38, 307-311.
114. Morgan, G.R., 1974. Aspects of the population of western rock lobster, Panulirus cygnus George. I. Estimation of population density. Aust. J. Mar. Freshwat. Res. 25, 235-248.
115. Morgan, G.R., 1979. Assessment of the stocks of the western rock lobster, Panulirus cygnus using surplus yield models. Aust. J. Mar. Freshwat. Res. 30, 355-363.
116. Moriyasu, M., Wade, E., Sinclair, A., Chiasson, Y., 1998. Snow crab, Chionoecetes opilio, stock assessment in the southwestern Gulf of St. Lawrence by bottom trawl survey. In: Jamieson, G.S., Campbell, A. (Eds.), Proceedings of the North Pacific Symposium on Invertebrate Stock Assessment and Management. Can. Spec. Publ. Fish. Aquat. Sci. 125, pp. 29-40.
117. Morrissy, N.M., 1975. The influence of sampling intensity on the catchability of marron, Cherax tenuimanus (Smith) (Decapoda: Parastacidae). Aust. J. Mar. Freshwat. Res. 26, 47-73.
118. Orensanz, J.M., Parma, A.M., Hall, M.A., 1998. The analysis of concentration and crowding in shellfish research. In: Jamieson, G.S., Campbell, A. (Eds.), Proceedings of the North Pacific Symposium on Invertebrate Stock Assessment and Management. Can. Spec. Publ. Fish. Aquat. Sci. 125, pp. 143-157.
119. Paloheimo, J.E., 1980. Estimation of mortality rates in fish populations. Trans. Am. Fish. Soc. 109, 378-386.
120. Parrick, M.L., 1985. A method of analyzing catches and abundance indices from a fishery. ICCAT W.D. SCRS/85/35:209-221.
121. Patterson, K.R., 1999. Integrated catch at age analysis 1.4. Available from FRS, Aberdeen, needlec@marlab.ac.uk.
122. Patterson, K.R., Melvin, G.D., 1996. Integrated catch at age analysis 1.2. Scottish Fisheries Research Report. FRS, Aberdeen.
123. Patterson, K.R., Cook, R.M., Darby, C.D., Gavaris, S., Kell, L.T., Lewy, P., Mesnil, B., O'Brien, C.M., Punt, A.E., Restrepo, V.R., Skagen, D.W., Stefansson, G., 1999. Evaluation and comparison of methods for estimating uncertainty in harvesting fish from natural populations. EU Concerted Action FAIR PL98-4231. Final Report.
124. Patterson, K.R., Cook, R.M., Darby, C.D., Gavaris, S., Kell, L.T., Lewy, P., Mesnil, B., Punt, A.E., Restrepo, V.R., Skagen, D.W., Stefansson, G., 2001. Estimating uncertainty in fish stock assessment and forecasting. Fish Fish. 2, 125-157.
125. Paulik, G.J., Robson, D.S., 1969. Statistical calculations for change in ratio estimators of population parameters. J. Wildl. Mgmt. 33, 1-27.
126. Pauly, D., 1983a. Some simple methods for the assessment of tropical fish stocks. FAO Fisheries Technical Paper 234, 56 pp.
127. Pauly, D., 1983b. Length-converted catch curves. A powerful tool for fisheries research in the tropics, Part I. ICLARM Fishbyte 1 (2), 9-13.
128. Pauly, D., 1984a. Length-converted catch curves. A powerful tool for fisheries research in the tropics, Part II. ICLARM Fishbyte 2 (1), 17-19.
129. Pauly, D., 1984b. Length-converted catch curves. A powerful tool for fisheries research in the tropics, Part III. ICLARM Fishbyte 2 (3), 9-10.
130. Pella, J.J., Tomlinson, P.K., 1969. A generalized stock production model. Bull. Inter-Am. Trop. Tuna Comm. 13, 421-458.
131. Pereiro, J.A., Fernandez, A., 1974. Fit of Schaefer and Fox production models to Palinurus, Aristeus, Mullus, Pagellus and Solea fisheries of Balear Islands. Inst. Esp. Oceanogr. Bol. 181, 1-27.
132. Petrides, G.A., 1949. View points on the analysis of open season sex and age ratios. Trans. N. Am. Wildl. Nat. Resour. Conf. 14, 391-410.
133. Pitcher, C.R., Dennis, D.M., Skewes, T.D., 1997. Fishery independent surveys and stock assessment of Panulirus ornatus in Torres Strait. Mar. Freshwat. Res. 48, 1059-1067.
134. Polacheck, T., Hilborn, R., Punt, A.E., 1993. Fitting surplus production models: comparing methods and measuring uncertainty. Can. J. Fish. Aquat. Sci. 50, 2597-2607.
135. Pollock, K.H., 1991. Modelling capture, recapture, and removal statistics for estimation of demographic parameters for fish and wildlife populations: past, present and future. J. Am. Stat. Assoc. 86, 225-238.
136. Pollock, K.H., Hoenig, J.M., 1998. Change in ratio estimators. In: Kotz, S., Read, C.B., Banks, D.L. (Eds.), Encyclopedia of Statistical Sciences, Update volume. Wiley, New York, pp. 109-112.
137. Polovina, J.J., 1989. A system of simultaneous dynamic production and forecast models for multispecies or multiarea applications. Can. J. Fish. Aquat. Sci. 46, 961-963.
138. Pope, J.G., 1972. An investigation of the accuracy of virtual population analysis using cohort analysis. ICNAF Res. Bull. 9, 65-74.
139. Pope, J.G., 1977. Estimation of fishing mortality, its precision and implications for the management of fisheries. In: Steele, J.H. (Ed.), Fisheries Mathematics. Academic Press, London, New York, pp. 63-76.
140. Pope, J.G., 1979. Population dynamics and management: current status and future trends. Invest. Pesq. (Barc.) 43, 199-221.
141. Pope, J.G., Shepherd, J.G., 1982. A simple method for the consistent interpretation of catch at age data. J. Cons. Int. Explor. Mer. 40, 175-184.
142. Pope, J.G., Shepherd, J.G., 1985. A comparison of the performance of various methods for tuning VPA's using effort data. J. Cons. Int. Explor. Mer. 42, 129-151.
143. Prager, M.H., 1994. A suite of extensions to a non-equilibrium surplus production model. Fish. Bull. 92, 374-389.
144. Prager, M.H., 1995. Users Manual for ASPIC: Stock Production Model Incorporating Covariates. SEFSC Miami Lab. Doc. MIA-92/93-55.
145. Prager, M.H., 2002. Comparison of logistic and generalized surplus-production models applied to swordfish, Xiphias gladius, in the north Atlantic Ocean. Fish. Res. 58, 41-57.
146. Punt, A.E., 1994. Assessments of the stocks of Cape hakes, Merluccius spp. off South Africa. S. Afr. J. Mar. Sci. 14, 159-186.
147. Punt, A.E., Butterworth, D.S., 1993. Variance estimates for fisheries assessment: their importance and how best to evaluate them. In: Smith, S.J., Hunt, J.J., Rivard, D. (Eds.), Risk Evaluation and Biological Reference Points for Fisheries Management. Can. Spec. Publ. Fish. Aquat. Sci. 120, pp. 145-162.
148. Punt, A.E., Hilborn, R., 1996. Biomass dynamics models. FAO Computerised Information Series (Fisheries) No. 10. FAO, Rome, 62 pp.
149. Punt, A.E., Hilborn, R., 1997. Fisheries stock assessment and decision analysis: the Bayesian approach. Rev. Fish Biol. Fish. 7, 35-63.
150. Punt, A.E., Japp, D.W., 1994. Stock assessment of the kingklip, Genypterus capensis, off South Africa. S. Afr. J. Mar. Sci. 14, 133-149.
151. Punt, A.E., Kennedy, R.B., 1997. Population modelling of Tasmanian rock lobster, Jasus edwarsii, resources. Mar. Freshwat. Res. 48, 967-980.
152. Punt, A.E., Kennedy, R.B., Frusher, S.D., 1997. Estimating the size-transition matrix for Tasmanian rock lobster, Jasus edwarsii, resources. Mar. Freshwat. Res. 48, 981-992.
153. Quinn, T.J., Collie, J.S., 1990. Alternative population models for eastern Bering Sea pollock. Int. N. Pac. Fish. Comm. Bull. 50, 243-257.
154. Quinn, T.J., Deriso, R.B., 1999. Quantitative Fish Dynamics. Oxford University Press, New York, Oxford, 542 pp.
155. Restrepo, V.R., Legault, C.M., 1998. A stochastic implementation of an age-structured production model. In: Funk, F., Quinn U, T.J., Heifetz, J., Ianelli, J.N., Powers, J.E., Schweigen, J.F., Sullivan, P.J., Zhang, C.-I. (Eds.), International Symposium on Fishery Stock Assessment Models for the 21st Century. Anchorage, Alaska, October 1997. Fishery Stock Assessment Models. Lowell Wakefield Fisheries Symposium Series No. 15, pp. 435-450.
156. Richards, L.J., 1991. Use of contradictory data sources in stock assessments. Fish. Res. 11, 225-238.
157. Richards, L.J., Schnute, J.T., 1998. Model complexity and catch-at-age analysis. Can. J. Fish. Aquat. Sci. 55, 949-957.
158. Ricker, W.E., 1954. Stock and recruitment. J. Fish. Res. Bd. Can. 11, 559-623.
159. Ricker, W.E., 1975. Computation and interpretation of biological statistics of fish populations. Bull. Fish. Res. Bd. Can. 191, 382.
160. Roff, D.A., 1983. Analysis of catch effort data: a comparison of three methods. Can. J. Fish. Aquat. Sci. 40, 1496-1506.
161. Roff, D.A., Fairbairn, D.J., 1980. An evaluation of Gulland's method for fitting the Schaefer model. Can. J. Fish. Aquat. Sci. 37, 1229-1235.
162. Roseberry, J.L., Woolfe, A., 1991. A comparative evaluation of techniques for analyzing white-tailed deer harvest. Wildl. Monogr. 117, 1-59.
163. Rosenberg, A.A., Beddington, J.R., 1988. Length-based methods of fish stock assessment. In: Gulland, J.A. (Ed.), Fish Population Dynamics, 2nd ed. Wiley, Chichester, pp. 83-103.
164. Routledge, R., 1989. The removal method for estimating natural populations: incorporating auxiliary information. Biometrics 45, 111-121.
165. Saila, S.B., Annala, J.H., McKoy, J.L., Booth, J.D., 1979. Application of yield models to the New Zealand rock lobster fishery. N. Z. J. Mar. Freshwat. Res. 13, 1-11.
166. Sainsbury, K.J., 1982. Population dynamics and fishery management of the paua, Halliotis iris. 2. Dynamics and management as examined using a size class population model. N. Z. J. Mar. Freshwat. Res. 16, 163-173.
167. Schaefer, M.B., 1954. Some aspects of the dynamics of populations important to the management of the commercial marine fisheries. Bull. Inter-Am. Trop. Tuna Comm. 1, 25-56.
168. Schaefer, M.B., 1957. A study of the dynamics of the fishery for yellowfin tuna in the eastern tropical Pacific Ocean. Bull. Inter-Am. Trop. Tuna Comm. 2, 247-268.
169. Schnute, J.T., 1977. Improved estimates from the Schaefer production model; theoretical considerations. J. Fish. Res. Bd. Can. 34, 583-603.
170. Schnute, J.T., 1985. A general theory for analysis of catch and effort data. Can. J. Fish. Aquat. Sci. 42, 414-429.
171. Schnute, J.T., 1987. A general fishery model for a size-structured fish population. Can. J. Fish. Aquat. Sci. 44, 924-940.
172. Schnute, J.T., Hilborn, R., 1993. Analysis of contradictory data sources in fish stock assessments. Can. J. Fish. Aquat. Sci. 50, 1916-1923.
173. Seber, G.A.F., 1982. The Estimation of Animal Abundance and Related Parameters, 2nd ed. Macmillan, New York.
174. Seber, G.A.F., Le Cren, E.D., 1967. Estimating population parameters from catches large relative to the population. J. Anim. Ecol. 36, 631-643.
175. Sheehy, M.R.J., Cameron, E., Marsden, G., McGrath, J., 1995. Age structure of female giant tiger prawns, Penaeus monodon, as indicated by neuronal lipofuscin concentration. Mar. Ecol. Prog. Ser. 117, 59-63.
176. Sheehy, M.R.J., Caputi, N., Chubb, C., Belchier, M., 1998. Use of lipofuscin for resolving cohorts of western rock lobster (Panulirus cygnus). Can. J. Fish. Aquat. Sci. 55, 925-936.
177. Sheehy, M.R.J., Bannister, R.C.A., Wickins, J.F., Shelton, P.M.J., 1999. New perspectives on the growth and longevity of the European lobster, Homarus gammarus. Can. J. Fish. Aquat. Sci. 56, 1904-1915.
178. Shepherd, J.G., 1982a. A family of general production curves for exploited populations. Math. Biosci. 59, 77-93.
179. Shepherd, J.G., 1982b. A versatile new stock-recruitment relationship for fisheries, and the construction of sustainable yield curves. J. Cons. Int. Explor. Mer. 40, 67-75.
180. Shepherd, J.G., 1992. Extended survivors' analysis: an improved method for the analysis of catch-at-age data and catch-per-unit-effort data. Working Paper No. 11. ICES Multi-species Assessment Working Group, June 1992, Copenhagen, Denmark, 22 pp. (mimeo).
181. Shepherd, J.G., Stevens, S.M., 1983. Separable VPA: User's Guide. Int. Rep., No. 8. MAFF Direct. Fish. Res., Lowestoft, 13 pp.
182. Sinclair, A., Gascon, D., O'Boyle, R., Rivard, D., Gavaris, S., 1990. Consistency of some Northwest Atlantic groundfish stock assessments. NAFO SCR, Doc. 90/96, 26 pp. (mimeo).
183. Sparre, P., Ursin, E., Venema, S.C., 1989. Introduction to tropical fish stock assessment. Part 1. Manual. FAO Fisheries Technical Paper 306/1. FAO, Rome, 337 pp.
184. Spedicato, M.T., Greco, S., Perdichizzi, F., Carbonara, P., 1995. First assessments of the stock structure of Aristeus antennatus (Risso, 1816) in the central-southern Tyrrhenian Sea. Biologia Marina Mediterranea 2, 239-244.
185. Spiegelhalter, D.J., Thomas, A., Best, N., Gilks, W.R., 1996. BUGS 0.5, Bayesian inference using Gibbs sampling. Manual version ii. Medical Research Council Biostatistics Unit, Institute of Public Health, Cambridge, UK.
186. Starr, P.J., Breen, P.A., Hilborn, R.H., Kendrick, T.H., 1997. Evaluation of a management decision rule for a New Zealand rock lobster substock. Mar. Freshwat. Res. 48, 1093-1101.
187. Stefánsson, G., Skúladóttir, U., Pétursson, G., 1994. The use of a stock production type model in evaluating the offshore Pandalus borealis stock of North Icelandic waters, including the predation of Northern shrimp by cod. ICES CM 1994/K:25.
188. Sullivan, P.J., 1992. A Kalman filter approach to catch at length analysis. Biometrics 48, 237-257.
189. Sullivan, P.J., Lai, H.-L., Galucci, V.F., 1990. A catch-at-length analysis that incorporates a stochastic model of growth. Can. J. Fish. Aquat. Sci. 47, 184-198.
190. Thomas, A., Spiegelhalter, D.J., Gilks, W.R., 1992. BUGS: a program to perform Bayesian inference using Gibbs sampling. In: Bernardo, J.M., Berger, J.O., Dawid, A.P., Smith, A.F.M. (Eds.), Bayesian Statistics 4. Oxford University Press, Oxford, pp. 837-842.
191. Thompson, W.F., Bell, F.H., 1934. Biological statistics of the Pacific halibut fishery. 2. Effect of changes in intensity upon total yield and yield per unit of gear. Rep. Int. Fish. (Pacific halibut) Comm. 8, 49.
192. Tyler, A.V., Sebring, L.L., Murphy, M.C., Murphy, L.F., 1985. A sensitivity analysis of Deriso's delay-difference equation using simulation. Can. J. Fish. Aquat. Sci. 42, 836-841.
193. Uhler, R.S., 1979. Least squares regression estimates of the Schaefer production model: some Monte Carlo simulation results. Can. J. Fish. Aquat. Sci. 37, 1284-1294.
194. Usher, M.B., 1966. A matrix approach to the management of renewable resources, with special reference to selection forests. J. Appl. Ecol. 3, 355-367.
195. Usher, M.B., 1971. Developments in the Leslie Matrix model. In: Jeffers, J.N.R. (Ed.), Mathematical Models in Ecology. Blackwell, London.
196. van Sickle, J., 1977. Mortality rates from size distributions: the application of a conservation law. Oecologia (Berl.) 27, 311-318.
197. Walters, C.J., 1987. Users Guide for GENEST: Microcomputer Stock Assessment Using Schnute's Generalization of the Deriso Delay-difference Model. University of British Columbia, Vancouver.
198. Walters, C.J., Hall, N., Brown, R., Chubb, C., 1993. Spatial model for the population dynamics and exploitation of the Western Australian rock lobster, Panulirus cygnus. Can. J. Fish. Aquat. Sci. 50, 1650-1662.
199. Walters, C., Pauly, D., Christensen, V., Kitchell, J.F., 2000. Representing density dependent consequences of life history strategies in aquatic ecosystems: EcoSim H. Ecosystems 3, 70-83.
200. Xiao, Y., 2000. A general theory of fish stock assessment models. Ecol. Model. 128, 165-180.
201. Yoshimoto, S.S., Clarke, R.P., 1993. Comparing dynamic versions of the Schaefer and Fox production models and their application to lobster fisheries. Can. J. Fish. Aquat. Sci. 50, 181-189.
202. Zheng, J., Murphy, M.C., Kruse, G.H., 1995. A length-based population model and stock-recruitment relationships for red king crab, Paralithodes camtschaticus, in Bristol Bay, Alaska. Can. J. Fish. Aquat. Sci. 52, 1229-1246.
203. Zheng, J., Kruse, G.H., Murphy, M.C., 1998. A length based approach to estimate population abundance of Tanner crab, Chionocetes bairdi, in Bristol Bay, Alaska. In: Jamieson, G.S., Campbell, A. (Eds.), Proceedings of the North Pacific Symposium on Invertebrate Stock Assessment and Management. Can. Spec. Publ. Fish. Aquat. Sci. 125, pp. 97-105.
204. Zippin, C., 1956. An evaluation of the removal method of estimating animal populations. Biometrics 12, 163-189.
205. Zippin, C., 1958. The removal method of population estimation. J. Wildl. Mgmt. 22, 82-90.