A spatial population dynamics simulation model of tropical tunas using a habitat index based on environmental parameters

Fisheries Oceanography

Volumn 7, Issue 3-4, 1998, Pages 326-334

  Bertignac, M ^a   Lehodey, P ^a   Hampton, J ^a  

^a NONE   (New Caledonia)

Author keywords

Habitat; Katsuwonus pelamis; Pacific; Population model; Skipjack; Tuna

Indexed keywords

BIOLOGICAL OCEANOGRAPHY; HABITAT USE; POPULATION DYNAMICS; POPULATION MODELING; SPATIAL DISTRIBUTION;

PACIFIC OCEAN;

KATSUWONUS PELAMIS;

EID: 0032419050     PISSN: 10546006     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1365-2419.1998.00065.x     Document Type: Article

References (29)

1. Barkley, R.A., Neil, W.H. and Gooding, R.M. (1978) Skipjack tuna (Katsuwonus pelamis) habitat based on temperature and oxygen requirements. Fish. Bull. 76:653-662.
2. Cury, P. (1994) Obstinate nature - an ecology of individuals -thoughts on reproductive behaviour and biodiversity. Can. J. Fish Aquat. Sci. 51:1664-1673.
3. Dagorn, L., Petit, M. and Stretta, J.M. (1997) Simulation of large-scale tropical tuna movements in relation with daily remote sensing data: the artificial life approach. Biosystems 44:167-180.
4. Delecluse, P., Madec, G., Imbard, M. and Levy, C. (1993) OPA Version 7 Ocean General Circulation Model reference manual. Lab. d'Océanogr. Dynam. Clim. (LODYC), Intern. Rep. 93/05:106 pp.
5. Dizon, A.E., Neill, W.H. and Magnuson, J.J. (1977) Rapid temperature compensation of volitional swimming speeds and lethal temperatures in tropical tunas (Scombridae). Env. Biol. Fishes 2:83-92.
6. Forsbergh, E.D. (1980) Synopsis of biological data on the skipjack tuna, Katsuwonus pelamis (Linnaeus, 1758), in the Pacific Ocean. Spec. Rep., Inter-American Trop. Tuna Comm. (IATTC) 2:295-360.
7. Gillett, R.D. and Kearney, R.E. (1983) An assessment of the skipjack and baitfish resources of French Polynesia. Final Report: Skipjack Surv. Assess. Programme, S. Pac. Comm. 7:81 pp.
8. Hampton, J. (1992) Assessment of skipjack and yellowfin tuna stocks in the western tropical Pacific, using data from largescale tagging experiments. In: Proceedings of the Fifth Standing Committee on Tuna and Billfish. 18-19 June 1992, Honolulu, Hawaii. Secretariat of the Pacific Community, Noumea, SCTB5, Working Paper 3:43 pp.
9. Hampton, J., Lawson, T., Williams, P. and Sibert, J. (1995) Interaction between small-scale fisheries in Kiribati and the industrial purse-seine fishery in the western and central Pacific Ocean. In: Status of Interactions of Pacific Tuna Fisheries. Proceedings of the Second FAO Expert Consultation on Interactions of Pacific Tuna Fisheries (23-31 January 1995, Shimizu, Japan). R.S. Shomura, J. Majkowski and R.F. Harman (eds). FAO Fish. Tech. Pap. 365:183-223.
10. Heath, M.R. and Gallego, A. (1997) From the biology of the individual to the dynamics of the population: bridging the gap in fish early life studies. Fish. Biol. 51A:1-29.
11. Joseph, J., Klawe, W. and Murphy, P. (1980) Tuna and Billfish -Fish without a Country, 2nd edn. Intern. Rep. Intern-American Trop. Tuna Comm. (IATTC) 7:46 pp.
12. Kareiva, P.M. (1983) Local movement in herbivorous insects: applying a passive diffusion model to mark-recapture field experiments. Oecologia 57:322-327.
13. Lehodey, P., André, J.-M., Bertignac, M., Stoens, A., Menkès, C., Memery, L. and Grima, N. (1998) Predicting skipjack forage distributions in the equatorial Pacific: preliminary results using a coupled dynamical bio-geochemical model. Fish. Oceanogr. 7:317-325.
14. Lehodey, P., Bertignac, M., Hampton, J., Lewis, A. and Picaut, J. (1997) El Niño Southern Oscillation and tuna in the western Pacific. Nature 389:715-718.
15. Levitus, S. and Boyer, T. (1994) World Ocean Atlas 1994. Vol. 4: Temperature. NOAA Atlas NESDIS 4 US. Washington, DC: Government Printing Office, 150 pp.
16. MacCall, A.D. (1990) Dynamic Geography of Marine Fish Populations. Washington, DC: University of Washington Press, 153 pp.
17. Mullen, A.J. (1989) Aggregation of fish through variable diffusivity. Fish. Bull. 87:353-362.
18. Murray, J.D. (1993) Mathematical Biology (Biomathematics, Vol. 19). New York: Springer-Verlag, 767 pp.
19. Nakamura, E.L. and Uchiyama, J.H. (1966) Length-weight relations of Pacific tunas. In: Proceedings of the Governor's Conference on Central Pacific Fishery Resources (28 February-12 March 1966, Honolulu and Hilo, Hawaii). T.A. Manar (ed.)., pp. 127-201.
20. Okubo, A. (1980) Diffusion and Ecological Problems: Mathematical Models (Biomathematics, Vol. 10). New York: Springer-Verlag, 254 pp.
21. Okubo, A. (1986) Dynamical aspects of animal grouping: swarms, schools, flocks and herds. Adv. Biophys. 22:1-94.
22. Press, W.H., Flannery, B.P., Teukolsky, S.A. and Vetterling, W.T. (1992) Numerical Recipes in FORTRAN. Cambridge, UK: Cambridge University Press, 963 pp.
23. Roache, P.J. (1972) Computational Fluid Dynamics. Albuquerque: Hermosa, 434 pp.
24. Segel, L.A. (1984) Modelling Dynamic Phenomena in Molecular and Cellular Biology. Cambridge, UK: Cambridge University Press.
25. Sibert, J.R. and Fournier, D.A. (1994) Evaluation of advection-diffusion equations for estimation of movement patterns from tag recapture data. In: Interactions of Pacific Tuna Fisheries: Proceedings of the First FAO Expert Consultation on Pacific Tuna Fisheries (3-11 December 1991, Noumea, New Caledonia). R.S. Shomura, J. Majkowski and S. Langi (eds). FAO Fish. Tech. Pap. 336 (1):108-121.
26. Sibert, J.R., Kearney, R.E. and Lawson, T.A. (1983) Variation in growth increments of tagged skipjack (Katsuwonus pelamis). Tech. Rep. Tuna Billfish Assess. Programme, S. Pac. Comm. 10:43 pp.
27. Skellam, J.G. (1973) The formulation and interpretation of mathematical models of diffusional process in population biology. In: The Mathematical Theory of the Dynamic of Biological Populations. M.S. Bartlett and R.W. Hiorns (eds). New York: Academic Press, pp. 63-85.
28. Sund, P.N., Blackburn, M. and Williams, F. (1981) Tunas and their environment in the Pacific Ocean: a review. Oceanogr. Mar. Biol. Ann. Rev. 19:433-512.
29. Tyler, J.A. and Rose, K.A. (1994) Individual variability and spatial heterogeneity in fish population models. Rev. Fish Biol. Fisheries 4:91-123.