Spawning per recruit analysis of the pelagic thresher shark, Alopias pelagicus, in the eastern Taiwan waters

Fisheries Research

Volumn 82, Issue 1-3, 2006, Pages 56-64

  Liu, Kwang Ming ^a   Chang, Yu Ting ^a   Ni, I Hsun ^a   Jin, Chien Bang ^a  

^a NATIONAL TAIWAN OCEAN UNIVERSITY   (Taiwan)

Author keywords

Alopias pelagicus; Biological reference point; Eastern Taiwan; Spawning per recruit analysis; Stock assessment; Virtual population analysis

Indexed keywords

ABUNDANCE; ANALYTICAL METHOD; BODY MASS; EXPLOITATION; MONITORING; MORTALITY RISK; PELAGIC FISH; POPULATION DYNAMICS; SHARK; SPAWNING;

ASIA; EURASIA; FAR EAST; TAIWAN;

ALOPIAS PELAGICUS; CHONDRICHTHYES;

EID: 33750324182     PISSN: 01657836     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fishres.2006.08.013     Document Type: Article

References (38)

1. Agger P., Boetius I., and Lassen M. Error in the virtual population analysis: the effect of uncertainties in the natural mortality coefficient. J. Cons. Int. Mer. 35 (1973) 93
2. Anon, 1997. Report on the Status of Fisheries of the United States. NMFS, NOAA. 4 pp.
3. Au D.W., and Smith S.E. A demographic method with population density compensation for estimating productivity and yield per recruit of the leopard shark (Triakis semifasciata). Can. J. Fish. Aquat. Sci. 54 (1997) 415-420
4. Cailliet G.M. Demography of the central California population of the leopard shark, Triakis semifasciata. Aust. J. Mar. Fresh. Res. 43 (1992) 183-193
5. Cailliet G.M., Mollet H.F., Pittenger G.G., Bedford D., and Natanson L.J. Growth and demography of the Pacific angel shark (Squatina california) based upon tag returns off California. Aust. J. Mar. Fresh. Res. 43 (1992) 1313-1330
6. Clark W.G. Groundfish exploitation rates based on life history parameters. Can. J. Fish. Aquat. Sci. 48 (1991) 734-750
7. Clark, W.G., 1993. The effect of recruitment variability on the choice of a target level of spawning biomass per recruit. in: Kruse, G., Eggers, D.M., Marasco, R.J., Pautzke, C., Quinn, T., (Eds.), Proceedings of the International Symposium on Management Strategies for Exploited Fish Populations. Alaska Sea Grant College Program Report No. 93-02, 233-46. University of Alaska Fairbanks.
8. Compagno L.J.V. Sharks of the World: An Annotated and Illustrated Catalogue of Shark Species Known to Date. FAO Species Catalogue vol. 4, part 1 (2001), U.N. Development Programme, Rome
9. Cortés E. Demographic analysis of the Atlantic sharpnose shark, Rhizoprionodon terraenovae, in the Gulf of Mexico. Fish. Bull. 93 (1995) 57-66
10. Cortés E. Demographic analysis as an aid in shark stock assessment and management. Fish. Res. 39 (1998) 199-208
11. Cortés E. Life history patterns and correlations in sharks. Rev. Fish. Sci. 8 4 (2000) 299-344
12. Fowler, S.L., Cavanagh, R.D., Camhi, M., Burgess, G.H., Cailliet, G.M., Fordham, S.V., Simpfendorfer, C.A., Musick, J.A. (comp. and ed.) 2005. Sharks, Rays and Chimaeras: The Status of the Chondrichthyan Fishes. Status Survey. IUCN/SSC Shark Specialist Group. IUCN, Gland, Switzerland and Cambridge, UK. pp. 461.
13. Goodyear, C.P., 1993. Spawning stock biomass per recruit in fisheries management: foundatation and current use. in: Simith, S.J., Hunt, J.J., Rivard, D., (Eds.), Risk Evaluation and Biological Reference Points for Fisheries Management. Can. J. Fish. Aquat. Sci. Spec. Publ. 120, pp. 67-81.
14. Gubanov Y.P. On the biology of the thresher shark Alopias vulpinus (Bonnaterre) in the northwest Indian Ocean. J. Ichthyol. 12 (1972) 591-600
15. Gulland J.A. Fish Stock Assessment. A Manual for Basic Methods (1983), Wiley, New York
16. Hilden M. Error of perception in stock and recruitment studies due to wrong choices of natural mortality rate in virtual population analysis. J. Cons. Int. Explor. Mer. 44 (1988) 123-134
17. Hoenig J.M. Empirical use of longevity data to estimate mortality rates. Fish. Bull. 82 (1983) 898-903
18. Hoenig, J.M., Gruber, S.H., 1990. Life history patterns in the elasmobranchs: implications for fisheries management. in: Pratt, H.L., Gruber, S.H., Taniuchi, T., (Eds.), Elasmobranchs as Living Resources: Advances in the Biology. U.S. Department of Commerce, NOAA, Technical Report NMFS 90, pp. 1-16.
19. Hoff, T.B., 1990. Conservation and management of the western North Atlantic shark resource based on the life history strategy limitations of sandbar shark. Ph.D. Thesis. University of Delaware, USA.
20. Kawasaki T. Fish, Society, and Earth (1992), Seizando Book Inc., Tokyo (in Japanese)
21. Liu K.M., Chen C.T., Liao T.H., and Joung S.J. Age, growth, and reproduction of the pelagic thresher shark, Alopias pelagicus in the northwestern Pacific. Copeia 1999 1 (1999) 68-74
22. Liu K.M., Chen C.T., and Joung S.J. A study of shark resources in the waters off Taiwan. In: Liao I.C., and Baker J. (Eds). Proceedings of the Joint Taiwan-Australia Aquaculture and Fisheries Resources and Management Forum (2001) 249-256
23. Mace, P.M., Sissenwine, M.P., 1993. How much spawning per recruit is enough? in: Smith, S.J., Hunt, J.J., Rivard, D., (Eds.), Risk Evaluation and Biological Reference Points for Fisheries Management, Spec. Publ. Can. Fish. Aquat. Sci., 120, pp. 101-118.
24. Mollet H.F., and Cailliet G.M. Comparative population demography of elasmobranches using life history tables, Leslie matrices and stage-based matrix models. Mar. Freshwater Res. 53 (2002) 503-516
25. Nakamura H. On the Two Species of the Thresher Shark from Formosan Waters, vol. 14 (1935), Memorial Faculty of Science and Agriculture, Taihoku Imperial Univer. pp. 1-6
26. Ohsumi S. Interspecies relationships among some biological parameters in cetaceans and estimation of the natural mortality coefficient of the southern hemisphere minke whale. Rep. Int. Whaling Comm. 29 (1979) 397-406
27. Otake T., and Mizue K. Direct evidence for oophagy in thresher shark, Alopias pelagicus. Jap. J. Ichthyol. 28 (1981) 171-172
28. Pauly D. On the interrelationships between natural morality, growth parameters and mean environmental temperatures in 175 fish stocks. J. Cons. Int. Mer. 39 (1980) 175-192
29. Pauly D. Length-converted catch curves: a powerful tool for fisheries research in the tropics (Part 1). ICLARM Fishbyte 1 2 (1983) 9-13
30. Peterson I., and Wroblewski J.S. Mortality rates of fishes in pelagic ecosystem. Can. J. Fish. Aquat. Sci. 41 (1984) 1117-1120
31. Punt A.E. Extinction of marine renewable resources: a demographic analysis. Popul. Ecol. 42 (2000) 19-27
32. Sims S.E. The effort of unevenly distributed catches on stock-size estimates using virtual population analysis (cohort analysis). J. Cons. Int. Explor. Mer. 40 (1982) 47-52
33. Sims S.E. An analysis of the effort of error in the natural mortality rate on stock-size estimates using Virtual Population Analysis (Cohort Analysis). J. Cons. Int. Explor. Mer. 41 (1984) 149-153
34. Sminkey T.R., and Musick J.A. Age and growth of the sandbar shark, Carcharhinus plumbeus, before and after population depletion. Copeia 1995 4 (1995) 871-883
35. Smith S.E., and Abramson N.J. Leopard shark Triakis semifasciata distribution, mortality rate, yield, and stock replenishment estimates based on a tagging study in San Francisco Bay. Fish Bull. 88 (1990) 371-381
36. Ulltang O. Sources of errors in and limitations of virtual population analysis (cohort analysis). J. Cons. Int. Explor. Mer. 37 (1977) 249-260
37. Walker T.I. Can shark resources be harvested sustainably? A question revisited with a review of shark fisheries. Mar. Fresh. Res. 49 (1998) 553-572
38. Wang C.H. Examination on the feasibility of single cohort analysis. ACTA Oceanogr. Taiwanica 14 (1983) 146-156 (in Chinese)