Abstract
In the previous chapter we saw that, to a significant degree, fish population dynamics may be attributed to economic factors. This is not surprising, as humans are frequently the number one predator of fish species. Consequently, fisheries models must very carefully incorporate economic adjustment processes. In this chapter we show that differences between the model result and actual system behavior are also significantly dependent on the spatial resolution of the predator—prey models in use.
Then I say the earth belongs to each . . . generation during its course, fully and in its own right. . . . Then, no generation can contract debts greater than may be paid during the course of its own existence.
Thomas Jefferson, September 6, 1789
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Allen and McGlade (Allen, P., and J.M McGlade. “Modelling Complex Human System: A Fisheries Example,” European Journal of Operation Research 30 [1987]:147–167) make use of a more elaborate spatial fisheries model, including a specification of effort adjustments that is similar to the one employed here. Their model however, is devoted to the macroscopic results of adjustments in individual fishermen’s risk perception and does not address the issues spatial resolution discussed here
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© 1997 Springer-Verlag New York, Inc.
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Ruth, M., Hannon, B. (1997). Spatial Fishery Model. In: Modeling Dynamic Economic Systems. Modeling Dynamic Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2268-2_28
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DOI: https://doi.org/10.1007/978-1-4612-2268-2_28
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-7480-3
Online ISBN: 978-1-4612-2268-2
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