Open AccessNumeric simulation of fishing effort and strategies (stochastic and cartesian) using cellular automata
Author(s) -
Michel Dreyfus-León,
R Martínez-Olvera,
Rafael Hernández-Walls
Publication year - 2011
Publication title -
ciencias marinas
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.215
H-Index - 29
eISSN - 2395-9053
pISSN - 0185-3880
DOI - 10.7773/cm.v37i4a.1851
Subject(s) - fishing , resource scarcity , group (periodic table) , cellular automaton , competition (biology) , resource (disambiguation) , fish <actinopterygii> , computer science , automaton , scarcity , operations research , fishery , microeconomics , economics , mathematics , ecology , theoretical computer science , artificial intelligence , natural resource economics , biology , chemistry , computer network , organic chemistry
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.