Species and global change-assessing the extinction point of albacore stocks

Abstract

Global change determines the environmental condition and leads to decide the carrying capacity. While carrying capacity determines the extinction of the species, it is an important issue to estimate the extinction point of the species, the minimal carrying capacity, or the tolerant limitation of the species. If it is possible to estimate the tolerant limitation of the species, it will be possible to control the global change. Applied the above idea to the albacore stocks, it revealed that extinction point was about 0.0018% of the present status. From these results, it implies that this method may also suitable to other species for estimating their carrying capacities.

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Wang, C. and Wang, S. (2012) Species and global change-assessing the extinction point of albacore stocks. Natural Science, 4, 419-422. doi: 10.4236/ns.2012.47057.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Gulland, J.A. (1983) Fish stock assessment, a manual of basic models. John Wiley & Sons, Chichester, New York, Brisbane, Toronto, Singapore.
[2] Del Monte-Luna, P., Brook, B.W., Zetina-Rejon, M. and Cruz-Escalona, V.H. (2004) The carrying capacity of eco- system. Global Ecological Biogeography, 13, 485-495. doi:10.1111/j.1466-822X.2004.00131.x
[3] Mora, C. and Sale, P. (2011) Ongoing global biodiversity loss and the need to move beyond protected areas: A review of the technical and practical shortcoming of protected areas on land and sea. Marine Ecology Progress Series, 434, 251-266. doi:10.3354/meps09214
[4] Tittensor, D., Mora, C., Jetz, W., Lotze, H.K., Ricard, D., vanden Berghe, E. and Worm, B. (2010) Global patterns and predictors of marine biodiversity across taxa. Nature, 466, 1098-1101. doi:10.1038/nature09329
[5] Mora, C., Myers, R., Pitcher, T., Zeller, D., Watson, G., Sumila, R., Gaston, K. and Worm, B. (2009) Management effectiveness of the world’s marine fisheries. PLoS Biology, 7, e1000131. doi:10.1371/journal.pbio.1000131
[6] Mora, C., Metzker, R., Rollo, A. and Myers, R.A. (2007) Experimental simulations about the effects of habitat fragmentation and overexploitation on populations facing environmental warming. Proceedings of the Royal Society of London B, 274, 1023-1028. doi:10.1098/rspb.2006.0338
[7] Schaefer, M.B. (1954) Some aspects of the dynamics of populations, important for the management of the commercial marine fisheries. Inter-American Tropical Tuna Commission, 1, 7-56.
[8] Schaefer, M.B. (1957) A study of the dynamics of the fishery for yellowfin tuna in the eastern tropical Pacific Ocean. Inter-American Tropical Tuna Commission, 2, 247- 285.
[9] Pella, J.J. and Tomlinson, P.K. (1969) A generalized stock production model. Inter-American Tropical Tuna Commission, 13, 419-496.
[10] Wang, C.H. and Wang, S.B. (2006) Assessment of South Pacific albacore stock (Thunnus alalunga) by improved Schaefer model. Journal of Ocean University of China, 5, 147-154.
[11] Wang, C.H. (1988) Seasonal changes of the distribution of south Pacific albacore based on Taiwan’s tuna longline fisheries, 1971-1985. ACTA Oceanographica Taiwanica, 20, 13-40.
[12] Wang, C.H. (1999) Fluctuation of the south Pacific albacore stocks (Thynnus alalunga) relative to the sea surface temperature. Terrestrial, Atmospheric and Oceanic Sciences, 10, 341-364.
[13] Wang, C.H. (1976) Relationship between larval food consumptions and recruitments in fish population. ACTA Oceanographica Taiwanica, 6, 179-188 (in Chinese).

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