Effects of alternative control rules on the conflict between a fishery and a threatened sea lion (Phocarctos hookeri)

Canadian Journal of Fisheries and Aquatic Sciences

Volumn 60, Issue 5, 2003, Pages 527-541

  Breen, Paul A ^a   Hilborn, Ray ^b   Maunder, Mark N ^c   Kim, Susan W ^a  

^a NATIONAL INSTITUTE OF WATER AND ATMOSPHERIC RESEARCH   (New Zealand)

^b UNIVERSITY OF WASHINGTON   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BYCATCH; CONFLICT MANAGEMENT; CONSERVATION MANAGEMENT; FISHERY MANAGEMENT; PINNIPED;

AUSTRALASIA; EASTERN HEMISPHERE; NEW ZEALAND; WORLD;

CEPHALOPODA; NOTOTODARUS SLOANII; OTARIIDAE; PANTHERA LEO; PHOCARCTOS HOOKERI;

EID: 4644313813     PISSN: 0706652X     EISSN: None     Source Type: Journal    
DOI: 10.1139/F03-046     Document Type: Article

References (21)

1. Butterworth, D.S., and Punt, A.E. 1999. Experiences in the evaluation and implementation of management procedures. ICES J. Mar. Sci. 56: 985-998.
2. Doonan, I.J. 2001. Estimation of Hooker's sea lion, Phocarctos hookeri, captures in the southern squid trawl fisheries, 2001. N.Z. Fish. Assess. Rep. No. 2001/67.
3. Gales, N.J. 1995. Hooker's sea lion recovery plan. Threatened Species Recovery Plan Series No. 17, New Zealand Department of Conservation, P.O. Box 10420, 65 Victoria St., Wellington.
4. Gales, N.J., and Fletcher, D.J. 1996. Abundance, distribution and status of the New Zealand sea lion Phocarctos hookeri. New Zealand Department of Conservation, P.O. Box 10420, 65 Victoria St., Wellington.
5. Gelman, A., and Rubin, D.B. 1992. Inference from iterative simulation using multiple sequences. Stat. Sci. 7: 457-511.
6. Gelman, A., Carlin, J.B., Stern, H.S., and Rubin, D.B. 1995. Bayesian data analysis. Chapman & Hall, London.
7. Geweke, J. 1992. Evaluating the accuracy of sampling-based approaches to calculating posterior moments. In Bayesian statistics 4. Edited by J.M. Bernardo, J.O. Berger, A.P. Dawid, and A.F.M. Smith. Clarendon Press, Oxford, U.K. pp. 169-193.
8. Heidelberger, P., and Welsh, P. 1983. Simulation run length control in the presence of an initial transient. Operations Res. 31: 1109-1144.
9. International Union for the Conservation of Nature and Natural Resources. 1996. IUCN red list of threatened animals. International Union for the Conservation of Nature and Natural Resources (IUCN), Gland, Switzerland.
10. Manly, F.J., Seyb, A., and Fletcher, D.J. 2002. Bycatch of sea lions (Phocarctos hookeri) in New Zealand fisheries, 1987/88 to 1995/96, and observer coverage. DoC Science Internal Ser. No. 42, Department of Conservation, Wellington, N.Z.
11. Maunder, M.N., Starr, P.J., and Hilborn, R. 2000. A Bayesian analysis to estimate loss in squid catch due to implementation of a sea lion population management plan. Mar. Mamm. Sci. 16(2): 413-426.
12. McAllister, M.K., Pikitch, E.K., Punt, A.E., and Hilborn, R. 1994. A Bayesian approach to stock assessment and harvest decisions using the sampling/resampling importance algorithm. Can. J. Fish. Aquat. Sci. 51: 2673-2687.
13. McConkey, S.D., McConnell, H., Lalas, C., Heinrich, S., Ludmerer, A., McNally, N., Parker, E., Borofsky, C., Shimanski, K., and McIntosh, G. 2002a. A northward spread in the breeding distribution of the New Zealand sea lion Phocarctos hookeri. Aust. Mamm. 24: 97-106.
14. McConkey, S.D., Heinrich, S., Lalas, C., McConnell, H., and McNally, N. 2002b. Pattern of immigration of New Zealand sea lions Phocarctos hookeri to Otago, New Zealand: implications for management. Aust. Mamm. 24: 107-116.
15. Meyer, R., and Millar, R.B. 1999. Bayesian stock assessment using a state-space implementation of the delay difference model. Can. J. Fish. Aquat. Sci. 56: 37-52.
16. New Zealand Department of Conservation. 1999. New Zealand sea lion population management plan - draft for consideration by the Sea Lion Technical Working Group. New Zealand Department of Conservation, Wellington.
17. Punt, A.E., and Hilborn, R. 1997. Fisheries stock assessment and decision analysis: the Bayesian approach. Rev. Fish Biol. Fish. 7: 1-29.
18. Raftery, A.L., and Lewis, S. 1992. Comment: one long run with diagnostics: implementation strategies for Markov chain Monte Carlo. Stat. Sci. 7: 493-497.
19. Reijnders, P.S., Brasseur, S., van der Toorn, J., van der Wolf, P., Boyd, I., Harwood, J., Lavigne, D., and Lowry, L. 1993. Seals, fur seals, sea lions, and walrus, status survey and conservation plan. IUCN/SSC Seal Specialist Group. International Union for the Conservation of Nature and Natural Resources (IUCN), Gland, Switzerland.
20. Wade, P. 1998. Calculating limits to the allowable human-caused mortality of cetaceans and pinnipeds. Mar. Mamm. Sci. 14: 1-37.
21. Wade, P. 2000. Bayesian methods in conservation biology. Conserv. Biol. 14: 1308-1316.