Abstract
A cellular automaton (CA) model is developed to analyze the behavior of fishermen in terms of belonging to a group that exchanges information on fishing and the personal aspect of decision making, defining the fishermen as cartesian or stochastic. This model aims to be the generic structure for a subsequent specific model suitable for a real fishery, and shows how the previously described behavior can be represented in a CA. The results show that, in a simulated world, positive effects are observed in terms of capture or rate of capture, the grouping, and the stochastic behavior in the event of resource scarcity. Also shown is how the behavior of including an explorer has the potential of generating benefits, as well as being risky. If the fishing is good, an independent boat benefits more than the group explorer when sharing this information with the other members of the group (cooperation-competition effect); however, in an adverse situation, the group explorer is not as affected as the independent boat.
Highlights
Fisheries have been studied from a biological perspective, and fishing effort has been incorporated into models as a control or management variable in stock assessment studies
We show, as an example, the cumulative catch of group vessels and independent vessels, together with the abundance of fish schools for one of the model runs
The catch obtained by group vessels and independent vessels in two runs with explorers for both groups is shown in figure 4
Summary
Fisheries have been studied from a biological perspective, and fishing effort has been incorporated into models as a control or management variable in stock assessment studies. The spatial distribution of fishing effort is related to human behavior as well as to the spatial distribution of fish. This spatial distribution is an important component of the dynamic behavior of the fishing fleets that should have a fundamental role in fishery research (Hilborn 1985). Fishing effort is a measure of the intensity of fishing operations. The definition of effort depends on the type of fishery and fishing gear, and frequently on the type and amount of information available.
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