Impact of wind speed on profit maximization in dual-fishermen exploitation of tritrophic prey-predator fish populations

Abstract

In this study, we examine the effects of wind speed on profit optimization within dual-fishermen exploitation of tritrophic prey-predator fish ecosystems. Recognizing wind speed as an influential external parameter, our bioeconomic model emphasizes its impact on profit maximization for two distinct fishing actors. Grounded in the Nash Equilibrium framework, we posit that optimal outcomes arise when each participant steadfastly adheres to their respective strategies. Utilizing a Python-driven Markov chain methodology, we anticipate future wind states, contingent upon current conditions and inherent transition probabilities. Preliminary findings denote a significant correlation between wind speed variations and the economic viability of fishing ventures. This research not only elucidates the profound influence of wind speed on marine fisheries but also advocates for the integration of advanced computational methodologies, such as Python and Markov chains, in fisheries management.