Abstract
The paper presents a cellular automata (CA) model for the growth and spatially distribution of the Northeast Arctic cod including a harvest model based on economical rational behaviour. Rules and range of the CA model are estimated from observations and biological theory, and the environmental conditions are assumed to be in accordance with the IPCC A1B scenario for the following 45 years. The aim of the model developed is to study fleet behaviour based on available management decisions, resource information and economic performance. This paper presents fleet performance in the model under open access conditions, considering two different types of vessels (small and large) placed in four different homeports. Fleet smartness is a key parameter controlling the fish finding ability of each fleet. The study shows that increasing smartness reveals increasing differences between small and large vessels placed in different homeports. While homeport clusters vessels at low levels of smartness, vessel size and range clusters vessels at higher levels of smartness.
The research leading to these results has received funding from the European Union’s Seventh Framework Programme within the Ocean of Tomorrow call – ACCESS.
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References
Eide, A.: Economic impacts of global warming. The case of the Barents Sea fisheries. Natural Resource Modeling 20(2), 199–221 (2007)
Eide, A.: An integrated study of economic effects of and vulnerabilities to global warming on the Barents Sea cod fisheries. Climatic Change 87(1), 251–262 (2008)
Jacob, D., Andrae, U., Elgered, G., Fortelius, C., Graham, L.P., Jackson, S.D., Karstens, U., Koepken, C., Lindau, R., Podzun, R., Rockel, B., Rubel, F., Sass, H.B., Smith, R.N.D., van den Hurk, B.J.J.M., Yang, X.: A comprehensive model intercomparison study investigating the water budget during the BALTEXPIDCAP Period. Meteorol. Atmos. Phys. 77, 19–43 (2001)
Slagstad, D., McClimans, T.A.: Modeling the ecosystem dynamics of the Barents sea including the marginal ice zone: I. Physical and chemical oceanography. Journal of Marine Systems 58(1), 1–18 (2005)
Rose, G.A., deYoung, B., Colbourne, E.B.: Cod (Gadus morhua) migration speeds and transport relative to currents on the North-East Newfoundland Shelf. ICES J. Mar. Sci. 52, 903–914 (1995)
Nakícenovíc, N., Alcamo, J., Davis, G., de Vries, B., Fenhann, J., Gaffin, S., Gregory, K., Grübler, A., Jung, T.Y., Kram, T., Emilio la Rovere, E., Michaelis, L., Mori, S., Morita, T., Pepper, W., Pitcher, H., Price, L., Riahi, K., Roehrl, A., Rogner, H.-H., Sankovski, A., Schlesinger, M.E., Shukla, P.R., Smith, S., Swart, R.J., van Rooyen, S., Victor, N., Dadi, Z.: Special report on emissions scenarios, 599 pages. Cambridge University Press, Cambridge (2000)
Myers, D.E.: Spatial interpolation: an overview. Geoderma 62(1), 17–28 (1994)
Eide, A.: On the limits of improved fish finding capacity and its contribution to resource conservation. In: Chan, F., Marinova, D., Anderssen, R.S. (eds.) 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, MODSIM 2011, pp. 2493–2499 (December 2011), http://www.mssanz.org.au/modsim2011/E16/eide.pdf , ISBN: 978-0-9872143-1-7
Lilly, G.R., Wieland, K., Rothschild, B.J., Sundby, S., Drinkwater, K., Brander, K., Ottersen, G., Carscadden, J.E., Stenson, G.B., Chouinard, G.A.: Decline and recovery of Atlantic cod (Gadus morhua) stocks throughout the North Atlantic. In: Kruse, G.H., Drinkwater, K.F., Ianelli, J.N., Link, J.S., Stram, D.L., Wespestad, V., Woodby, D. (eds.) Resiliency of Gadic Stocks to Fishing and Climate Change, pp. 39–66. Alaska Sea Grant, University of Alaska, Fairbanks (2008)
Eide, A., Skjold, F., Olsen, F., Flaaten, O.: Harvest Functions: The Norwegian Bottom Trawl Cod Fisheries. Marine Resource Economics 18, 81–93 (2003)
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Eide, A. (2014). Modelling Spatial Distribution of the Barents Sea Cod Fishery. In: Wąs, J., Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2014. Lecture Notes in Computer Science, vol 8751. Springer, Cham. https://doi.org/10.1007/978-3-319-11520-7_30
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DOI: https://doi.org/10.1007/978-3-319-11520-7_30
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11519-1
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