Contrasting deterministic and probabilistic ranking of catch quotas and spatially and size-regulated fisheries management

Canadian Journal of Fisheries and Aquatic Sciences

Volumn 63, Issue 8, 2006, Pages 1777-1792

  Apostolaki, P ^a,b,c   Babcock, E A ^a   McAllister, M K ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF MIAMI   (United States)

^c CENTRE FOR ENVIRONMENT   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CATCH COMPOSITION; FISHERY MANAGEMENT; FISHERY MODELING; NUTRIENT DYNAMICS; POPULATION DYNAMICS; UNCERTAINTY ANALYSIS;

NORTH AMERICA; UNITED STATES;

CARCHARHINUS PLUMBEUS; CHONDRICHTHYES;

EID: 33749243151     PISSN: 0706652X     EISSN: None     Source Type: Journal    
DOI: 10.1139/F06-078     Document Type: Article

References (67)

1. Apostolaki, P. 2003. Modelling tools for evaluating the effectiveness of alternative fisheries management measures in migratory fish species. Ph.D. thesis, Imperial College, London, UK.
2. Apostolaki, P. 2005. Preliminary evaluation of the effectiveness of minimum size regulations versus MPAs for North Atlantic swordfish stock. Col. Vol. Sci. Pap. ICCAT. 58(4): 1436-1445.
3. Apostolaki, P., Milner-Gulland, E.J., McAllister, M., and Kirkwood, G. 2002. Modelling the effects of establishing a marine reserve for mobile fish species. Can. J. Fish. Aquat. Sci. 59(3): 405-415.
4. Baum, J.K., Myers, R.A., Kehler, D.G., Worm, B., Harley, S.J., and Doherty, P.A. 2003. Collapse and conservation of shark populations in the Northwest Atlantic. Science (Washington, D.C.), 299(5605): 389-392.
5. Beverton, R.J., and Holt, S.J. 1957. On the dynamics of exploited fish population. Her Majesty's Stationary Office, London, UK.
6. Bonfil, R. 1994. Overview of world elasmobranch fisheries. FAO Fish. Tech. Pap. 341: 1-119.
7. Borucinska, J., Kohler, N., Natanson, L., and Skomal, G. 2002. Pathology associated with retained fishing hooks in blue sharks, Prionace glauca (L.), with implications for their conservation. J. Fish Dis. 25: 515-521.
8. Brewster-Geisz, K.K., and Miller, T.J. 2000. Management of the sandbar shark, Carcharhinus plumpeus: implications of a stage-based model. Fish. Bull. 98: 236-249.
9. Brooks, E., Cortés, E., and Porch, C. 2002. An age-structured production model (ASPM) for application to large coastal sharks. In 2002 Shark Evaluation Workshop, Panama City Beach, Florida, 24-28 June 2002. NOAA-NMFS, Panama City Laboratory, Fla. Work. Doc. SB-02-05.
10. Burgess, G.H., Beerkircher, L.R., Cailliet, G.M., Carlson, J.K., Cortés, E., Goldman, K.J., Grubbs, R.D., Musick, J.A., Musyl, M.K., and Simpfendorfer, C.A. 2005. Is the collapse of shark populations in the Northwest Atlantic Ocean and Gulf of Mexico real? Fisheries, 30(10): 19-26.
11. Campana, S., Marks, L., Joyce, W., and Harley, S. 2001. Analytical assessment of the porbeagle shark (Lamna nasus) population in the Northwest Atlantic, with estimates of long-term sustainable yield. Canadian Science Advisory Secretariat, Ottawa, Ont. Res. Doc. 2001/067.
12. Carlson, J.K. 1999. Occurrence of neonate and juvenile sandbar sharks, Carcharhinus plumbeus, in the northeastern Gulf of Mexico. Fish. Bull. 97: 387-391
13. Carrier, J., and Pratt, H. 1998. Habitat management and closure of a nurse shark breeding and nursery ground. Fish. Res. 39: 209-213.
14. Casey, J.G., and Natanson, L.J. 1992. Revised estimates of age and growth of the sandbar shark, Carcharhinus plumbeus, from the western North Atlantic. Can. J. Fish. Aquat. Sci. 49: 1474-1477.
15. Casey, J.G., Pratt, J.H.L., and Stillwell, C.E. 1985. Age and growth of the sandbar shark from the western North Atlantic. Can. J. Fish. Aquat. Sci. 42: 963-975.
16. Castro, J.I. 1993. The shark nursery of Bulls Bay, South Carolina, with a review of the shark nurseries of the southeastern United States. Environ. Biol. Fishes, 38: 37-48.
17. Cliff, G., Dudley, S.F.J., and Davis, B. 1988. Sharks caught in the protective gill nets off Natal, South Africa. 1. The sandbar shark Carcharhinus plumbeus. S. Afr. J. Mar. Sci. 7: 255-265.
18. Compagno, L.J.V. 1984. FAO species catalogue. Vol. 4. Sharks of the world. An annotated and illustrated catalogue on shark species known to date. Part 1. Hexanchiformes to Lamniformes. FAO Fish. Synop. 125. Vol. 4. Pt. 1.
19. Cortés, E. 2002. Incorporating uncertainty into demographic modeling: application to shark populations and their conservation. Conserv. Biol. 16:1048-1062.
20. Cortés, E., Brooks, E., and Scott, G. 2002. Stock assessment of large coastal sharks in the U.S. Atlantic and Gulf of Mexico. NOAA-NMFS, SEFSC, Sustain. Fish. Div. Contrib. SFD-02/03-177.
21. Courtney, D., Gaichas, S., Boldt, J., Goldman, K.J., and Tribuzio, C. 2004. Sharks in the Gulf of Alaska, Eastern Bering Sea, and Aleutian Islands. In Stock assessment and fishery evaluation report for the groundfish resources of the Bering Sea Aleutian Islands region. North Pacific Fisheries Management Council, Anchorage, Alaska.
22. Food and Agriculture Organization of the United Nations (FAO). 1999. The international plan of action for the conservation and management of sharks. FAO, Rome, Italy.
23. Frederick, S.W., and Peterman, R.M. 1995. Choosing fisheries harvest policies: when does uncertainty matter? Can. J. Fish. Aquat. Sci. 52: 291-306.
24. Garrick, J.A.F. 1982. Sharks of the genus Carcharhinus. NOAA Tech. Rep. NMFS Circ. 445.
25. Grubbs, R.D., Musick, J.A., Conrath, C.L., and Romine, J.G. 2006. Long-term movements, migration, and temporal delineation of summer nurseries for juvenile Carcharhinus plumbeus in the Chesapeake Bay region. In Shark nursery grounds of the Gulf of Mexico and the east coast waters of the United States. Edited by C.T. McCandless, N.E. Kohler, and H.L. Pratt, Jr. American Fisheries Society. Bethesda, Md. In press.
26. Hilborn, R. 2002. The dark side of the reference points. Bull. Mar. Sci. 70: 403-408.
27. Hilborn, R., Maguire, J.J., Parma, A.M., and Rosenberg, A.A. 2001. The Precautionary Approach and risk management: can they increase the probability of success in fishery management? Can. J. Fish. Aquat. Sci. 58: 99-107.
28. Hilborn, R., Parma, A., and Maunder, M. 2002. Exploitation rate reference points for west coast rockfish: Are they robust and are there better alternatives? N. Am. J. Fish. Manag. 22: 365-375.
29. International Commission for the Conservation of Atlantic Tunas (ICCAT). 2003. Report of the 2002 Atlantic swordfish stock assessment session. Col. Vol. Sci. Pap. ICCAT. 55: 1289-1415.
30. International Commission for the Conservation of Atlantic Tunas (ICCAT). 2004. 2003 ICCAT Atlantic yellowfin tuna stock assessment session. Col. Vol. Sci. Pap. ICCAT. 56(2): 443-527.
31. Johnston, D.W., Meisenheimer, P., and Lavigne, D.M. 2000. An evaluation of management objectives for Canada's commercial harp seal hunt, 1996-1998. Conserv. Biol. 14: 729-737.
32. Kohler, N.E., Casey, J.G., and Turner, P.A. 1996. Length-length and length-weight relationships for 13 shark species from the western North Atlantic. NOAA Tech. Memo. NMFS/NE/110.
33. Lankester, K., and Beddington, J.R. 1986. An age structured population model applied to the gray whale (Eschrichtius robustus). Rep. Int. Whal. Comm. 36: 353-358.
34. Mace, P.M. 1994. Relationships between common biological reference points used as thresholds and targets of fisheries management strategies. Can. J. Fish. Aquat. Sci. 51(1): 110-122.
35. Mace, P.M. 2001. A new role for MSY in single-species and eco-system approaches to fisheries stock assessment and management. Fish Fish. 2: 2-32.
36. Mangel, M., Marinovic, B., Pomeroy, C., and Croll, D. 2002. Requiem for Ricker: unpacking MSY. Bull. Mar. Sci. 70: 763-781.
37. McAllister, M.K., and Ianelli, J.N. 1997. Bayesian stock assessment using catch-age data and the sampling - importance resampling algorithm. Can. J. Fish. Aquat. Sci. 54(2): 284-300.
38. McAllister, M.K., and Kirkwood, G.P. 1998. Bayesian stock assessment: a review and example application using the logistic model. ICES J. Mar. Sci. 55: 1031-1060.
39. McDonald, A.D., Sandal, L.K., and Steinshamn, S.I. 2002. Implications of a nested stochastic/deterministic bio-economic model for a pelagic fishery. Ecol. Model. 149: 193-201.
40. Merson, R.R., and Pratt, H.L., Jr. 2001. Distribution, movements and growth of young sandbar sharks, Carcharhinus plumbeus, in the nursery grounds of Delaware Bay. Environ. Biol. Fishes, 61: 13-24.
41. Mollet, H.F., and Cailliet, G.M. 2002. Comparative population demography of elasmobranchs using life history tables, Leslie matrices and stage-based matrix models. Mar. Freshw. Res. 53: 503-516.
42. Musick, J.A., Branstetter, S., and Colvocoresses, J.A. 1993. Trend in shark abundance from 1974-1991 for the Chesapeake Bight region of the U.S. mid-Atlantic Coast. In Conservation biology of elasmobranch. Edited by S. Branstetter. NOAA Tech. Rep. NMFS 115. pp. 1-18.
43. National Marine Fisheries Service (NMFS). 1999. Final fishery management plan for Atlantic tuna, swordfish, and sharks. NOAA-NMFS, Highly Migratory Species Management Division, Silver Spring, Md.
44. National Marine Fisheries Service (NMFS). 2001. United States national plan of action for the conservation and management of sharks. NOAA-NMFS, Silver Spring, Md.
45. National Oceanic and Atmospheric Administration (NOAA). 2003. Atlantic highly migratory species; Atlantic shark management measures; final rule. US Federal Register, Rules and Regulations, 68(247): 74745-74789.
46. Pacific Islands Regional Office (PIRO). 2005. Pacific Islands regional office (PIRO) bycatch implementation plan status report. Available from http://www.nmfs.noaa.gov/by_catch/PIRProgress.pdf [accessed 7 July 2006].
47. Peterman, M.P., and Anderson, J.L. 1999. Decision analysis: a method for taking uncertainties into account in risk-based decision making. Hum. Ecol. Risk Assess. 5(2): 231-244.
48. Prager, M.H., Porch, C.E., Shertzer, K.W., and Caddy, J.F. 2003. Targets and limits for management of fisheries: a simple probability-based approach. N. Am. J. Fish. Manag. 23: 349-361.
49. Punt, A., and Hilborn, R. 1997. Fisheries stock assessment and decision analysis: the Bayesian approach. Rev. Fish Biol. Fish. 7: 35-63.
50. Punt, A., and Walker, T. 1998. Stock assessment and risk analysis for the school shark off southern Australia. Mar. Freshw. Res. 49: 719-731.
51. Punt, A.E., Pribac, F., Walker, T.I., Taylor, B.L., and Prince, J.D. 2000. Stock assessment of school shark, Galeorhinus galeus, based on a spatially explicit population dynamics model. Mar. Freshw. Res. 51:205-220.
52. Raftery, A.E., Givens, G.H., and Zeh, J.E. 1995. Inference from a deterministic population dynamics model for bowhead whales (with discussion and rejoinder). J. Am. Stat. Assoc. 90: 402-430.
53. Richards, L.J., and Maguire, J.J. 1998. Recent international agreement and the precautionary approach: new directions for fisheries management science. Can. J. Fish. Aquat. Sci. 55: 1545-1552.
54. Rubin, D.B. 1987. Comment on "The calculation of posterior distributions by data augmentation". J. Am. Stat. Assoc. 82: 543-546.
55. Simpfendorfer, C.A., Donohue, K., and Hall, N.G. 2000. Stock assessment and risk analysis for the whiskery shark (Furgaleus macki (Whitley)) in south-western Australia. Fish. Res. 47: 1-17.
56. Sminkey, T.R., and Musick, J.A. 1995. Age and growth of the sandbar shark, Carcharhinus olumbeus, before and after population depletion. Copeia, 1995(4): 871-883.
57. Sminkey, T.R., and Musick, J.A. 1996. Demographic analysis of the sandbar shark, Carcharhinus plumbeus, in the western North Atlantic. Fish. Bull. 94: 341-47
58. Smith, A.F.M., and Gelfand, A.E. 1992. Bayesian statistics without tears. Am. Stat. 46, 84-88.
59. Smith, S.E., Au, D.W., and Show, C. 1998. Intrinsic rebound potentials of 26 species of Pacific sharks. Mar. Freshw. Res. 49: 663-678.
60. Stefansson, G., and Rosenberg, A.A. 2005. Combining control measures for more effective management of fisheries under uncertainty: quotas, effort limitation and protected areas. Philos. Trans. R. Soc. Lond. B Biol. Sci. 360: 133-146.
61. Stevens, J.D., Bonfil, R., Dulvy, N.K., and Walker, P.A. 2000a. The effects of fishing on sharks, rays, and chimaeras (chondrichthyans), and the implications for marine ecosystems. ICES J. Mar. Sci. 57: 476-494.
62. Stevens, J.D., West, G.J., and McLoughlin, K.J. 2000b. Movements, recapture patterns, and factors affecting the return rate of carcharhinid and other sharks tagged off northern Australia. Mar. Freshw. Res. 51: 127-141.
63. Tanner, J.E. 2003. Stability of optimal harvest regime under stochastic variation in prawn demographic rates and fishing strategies. Mar. Freshw. Res. 54: 635-642.
64. Walker, T.I. 1998. Can shark resources be harvested sustainably? Mar. Freshw. Res. 49: 553-572.
65. Walker, T.I. 2005. Reproduction in fisheries science. In Reproductive biology and phylogeny of Chondrichthyes: sharks, batoids, and chimaeras. Edited by W.C. Hamlett. Science Publishers, Inc., Enfield, N.H.
66. Walters, C., and Ludwig, D. 1994. Calculation of Bayes posterior probability distributions for key population parameters. Can. J. Fish. Aquat. Sci. 51: 713-722
67. Worm, B., Lotze, H.K., and Myer, R.A. 2003. Predator diversity hotspots in the blue ocean. Proc. Natl. Acad. Sci. U.S.A, 100: 9884-9888.