Is the collapse of shark populations in the northwest Atlantic Ocean and Gulf of Mexico real?

Fisheries

Volumn 30, Issue 10, 2005, Pages 19-26

  Burgess, George H ^a   Beerkircher, Lawrence R ^b   Cailliet, Gregor M ^c   Carlson, John K ^d   Cortés, Enric ^d   Goldman, Kenneth J ^e   Grubbs, R Dean ^f   Musick, John A ^g   Musyl, Michael K ^h   Simpfendorfer, Colin A ⁱ  

^a UNIVERSITY OF FLORIDA   (United States)

^b SOUTHEAST FISHERIES SCIENCE CENTER   (United States)

^c MOSS LANDING MARINE LABORATORIES   (United States)

^d SOUTHEAST FISHERIES SCIENCE CENTER   (United States)

^e ALASKA DEPARTMENT OF FISH AND GAME   (United States)

^f UNIVERSITY OF HAWAII   (United States)

^g VIRGINIA INSTITUTE OF MARINE SCIENCE   (United States)

^h UNIVERSITY OF HAWAII   (United States)

ⁱ CENTER FOR SHARK RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHONDRICHTHYES;

EID: 27744549080     PISSN: 03632415     EISSN: None     Source Type: Journal    
DOI: 10.1577/1548-8446(2005)30[19:ITCOSP]2.0.CO;2     Document Type: Review

References (43)

1. Anonymous. 2005. Report of the 2004 inter-sessional meeting of the ICCAT subcommittee on bycatches: shark stock assessment. SCRS/2004/014. Collective Volume of Scientific Papers 58(3):799-890.
2. Apostolaki, P., M. K. McAllister, E. A. Babcock, and R. Bonfil. 2002. Use of a generalized stage-based, age-, and sex-structured model for shark stock assessment. International Commission for the Conservation of Atlantic Tunas Collective Volume of Scientific Papers 54:1182-1198.
3. Baum, J. K., R. A. Myers, D. G. Kehler, B. Worm, S. J. Harley, and P. A. Doherty. 2003. Collapse and conservation of shark populations in the northwest Atlantic. Science 299:389-392.
4. Baum, J. K., and R. A. Myers. 2004. Shifting baselines and the decline of pelagic sharks in the Gulf of Mexico. Ecology Letters 7:135-145.
5. Beerkircher, L. R., C. J. Brown, D. L. Abercrombie, and D. W. Lee. 2004. SEFSC pelagic observer program data summary for 1992-2002. NOAA Technical Memorandum NMFS-SEFSC-522.
6. Beerkircher, L., M. Shivji, and E. Cortés. 2003. A Monte Carlo demographic analysis of silky shark (Carcharhinus falciformis): implications of gear selectivity. Fishery Bulletin 101:168-174.
7. Berkeley, S. A., and W. L. Campos. 1988. Relative abundance and fishery potential of pelagic sharks along Florida's east coast. Marine Fisheries Review 50:9-16.
8. Beverly, S., L. Chapman, and W. Sokimi. 2003. Horizontal longline fishing methods and techniques - A manual for fishermen. Secretariat of the Pacific Community, Noumea, New Caledonia.
9. Branstetter, S. 1982. Problems associated with the identification and separation of the spinner shark, Carcharhinus brevipinna, and the blacktip shark, Carcharhinus limbatus. Copeia 1982:461-465.
10. Branstetter, S., and J. A. Musick. 1993. Comparisons of shark catch rates on longlines using rope/steel (Yankee) and monofilament gangions. Marine Fisheries Review 55:4-9.
11. Brown, C. A. 2002. Updated standardized catch rates of four species of sharks in the Virginia-Massassachusetts (U.S.) rod and reel fishery. National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Sustainable Fisheries Division Contribution SFD-01/02-163.
12. Brown, C. A. and J. Cramer. 2002. Large pelagic logbook catch rates for large coastal sharks. National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center, Sustainable Fisheries Division Contribution SFD-01/02-166.
13. Campana, S. E., L. Marks, W. Joyce, and N. Kohler. 2004. Catch, bycatch, and indices of population status of blue shark (Prionace glauca) in the Canadian Atlantic. International Commission for the Conservation of Atlantic Tunas Collective Volume of Scientific Papers 80.
14. Cortés, E. 2002a. Incorporating uncertainty into demographic modeling: application to shark populations and their conservation. Conservation Biology 16:1-15.
15. _. 2002b. Stock assessment of small coastal sharks in the U.S. Atlantic and Gulf of Mexico. National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center, Sustainable Fisheries Division Contribution SFD-01/02-152.
16. _. 2002c. Catch rates of large coastal sharks. National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center, 2002 Shark Evaluation Workshop Document SB-02-12.
17. _. 2004. Life history patterns, demography, and population dynamics. Pages 449-470 in J.C. Carrier, J.A. Musick, and H.R. Heithaus, eds. Biology of sharks and their relatives. CRC Press, Boca Raton, FL.
18. Cortés, E., L. Brooks, and G. Scott. 2002. Stock assessment of large coastal sharks in the U.S. Atlantic and Gulf of Mexico. National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center, Sustainable Fisheries Division Contribution SFD-2/03-177.
19. Compagno, L. J. V. 1984. FAO species catalogue: sharks of the world. An annotated and illustrated catalogue of shark species known to date. FAO Fisheries Synopsis (125), vol. 4, part 1: Hexanchiformes to Lamniformes. FAO, Rome.
20. Cramer, J. C., D. W. Lee, and G. P. Scott. 1993. Vessel-trip sampling plan for U.S. longline vessels operating in the Atlantic. International Commission for the Conservation of Atlantic Tunas Collective Volume of Scientific Papers 40 (2):492-497.
21. Goodyear, C. P. 2003. Tests of the robustness of habitat-standardized abundance indices using simulated blue marlin catch-effort data. Marine and Freshwater Research 54:369-381.
22. Grace, M. 2001. Field guide to requiem sharks (Elasmobranchiomorphi: Carcharhinidae) of the western north Atlantic. NOAA Technical Report NMFS 153.
23. Grace, M., and T. Henwood. 1997. Assessment of the distribution and abundance of coastal sharks in the U.S. Gulf of Mexico and eastern seaboard, 1995 and 1996. Marine Fisheries Review 59:23-32.
24. Hinton, M. G., and H. Nakano. 1996. Standardizing catch and effort statistics using physiological, ecological, or behavioral constraints and environmental data, with an application to blue marlin (Maikara nigricans) catch and effort data from Japanese longline fisheries in the Pacific. Inter-American Tropical Tuna Commission Bulletin 21:171-200.
25. Hilborn, R., and C. J. Walters. 1992. Quantitative fisheries stock assessments: choice, dynamics, and uncertainty. Chapman and Hall, New York.
26. Huish, M. T., and C. Benedict. 1977. Sonic tracking of dusky sharks in the Cape Fear River, North Carolina. Journal of the Elisha Mitchell Scientific Society 93(1):21-26.
27. Klyashtorin, L. B. 2001. Climate change and long-term fluctuations of commercial catches: the possibility of forecasting. FAO Fisheries Technical Paper 410, Rome.
28. Maunder, M.N., and A.E. Punt. 2004. Standardizing catch and effort data: a review of recent approaches. Fisheries Research 70:141-159.
29. Musick, J. A., S. Branstetter, and J. A. Colvocoresses. 1993. Trend in shark abundance from 1974-1991 for the Chesapeake Bight region of the U.S. mid-Atlantic coast. Pages 1-18 in S. Branstetter, ed. Conservation biology of elasmobranches. NOAA Technical Report NMFS 115.
30. Musick, J. A. and C. L. Conrath. 2002. A delineation of shark nursery grounds in Chesapeake Bay and an assessment of abundance of shark stocks (2001-2003). National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center, 2002 Shark Evaluation Workshop Document SB-02-28.
31. Musick, J. A., G. H. Burgess, M. Camhi, G. Cailliet, and S. Fordham. 2000a. Management of sharks and their relatives (Elasmobranchii). Fisheries 25(3):9-13.
32. Musick, J. A., and 17 coauthors. 2000b. Marine, estuarine, and diadromous fish stocks at risk of extinction in North America (exclusive of Pacific salmonids). Fisheries 25(11):6-30.
33. NMFS (National Marine Fisheries Service). 1993. Fishery management plan for sharks of the Atlantic Ocean. U.S. Department of Commerce, Washington, D.C. National Oceanic and Atmospheric Administration, Silver Spring, MD.
34. _. 1998. 1998 Report of the shark evaluation workshop. National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center, Panama City, FL.
35. _. 2002. Final meeting report of the 2002 shark evaluation workshop. National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center, Panama City, FL.
36. Punt, A. E., and T. I. Walker. 1998. Stock assessment and risk analysis for the school shark Galeorhinus galeus (Linnaeus) off southern Australia. Marine and Freshwater Research 49:719-731.
37. Punt, A. E., T. I. Walker, B. L. Taylor, and F. Pribac. 2000. Standardization of catch and effort data in a spatially-structured shark fishery. Fisheries Research 45:129-145.
38. Simpfendorfer, C. A., and G. H. Burgess. 2002. Assessment of the status of the Atlantic sharpnose shark (Rhizoprionodon terraenovae) using an age-structured population model. Northwest Atlantic Fisheries Organization SCR Doc. 02/116.
39. Simpfendorfer, C. A., K. Donohue, and N. G. Hall. 2000. Stock assessment and risk analysis for the whiskery shark (Furgaleus macki [Whitley]) in southwestern Australia. Fisheries Research 47:1-17.
40. Simpfendorfer, C. A., R. E. Hueter, U. Bergman, and S. M. H. Connett. 2002. Results of a fishery-independent survey for pelagic sharks in the western North Atlantic, 1977-1994. Fisheries Research 55:175-192.
41. Smith, S. E., D. W. Au, and C. Show. 1998. Intrinsic rebound potentials of 26 species of Pacific sharks. Marine and Freshwater Research 49:663-678.
42. Walters, C. 2004. Folly and fantasy in the analysis of spatial catch rate data. Canadian Journal of Fisheries and Aquatic Science 60:1433-1436.
43. Watson, J. W., D. G. Foster, S. Epperly, and A. Shah. 2003. Experiments in the western Atlantic north east distant waters to evaluate sea turtle mitigation measure in the pelagic longline fishery. National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Southeast Fisheries Science Center, Pascagoula, MS.