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Related Experiment Video

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Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

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Published on: November 20, 2017

Optimal exploitation for a commercial fishing model.

Chakib Jerry¹, Nadia Raissi

¹Département de Mathématiques, Faculté des Sciences, Equipe d'ingénieurie mathématiques EIMA, Université Ibn Tofail, Kenitra, Morocco. jechakib@yahoo.fr

Acta Biotheoretica

|March 21, 2012

Summary

This study introduces two dynamic models to optimize commercial fishing management by balancing exploitation, capital investment, and price changes. The models reveal how capital utilization and income influence optimal management policies for sustainable fishing operations.

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Area of Science:

Marine Biology
Econometrics
Operations Research

Background:

The commercial fishing industry faces complex challenges in balancing resource exploitation with economic viability.
Effective management policies are crucial for sustainable fishing and capital investment.
Existing models may not fully capture the dynamic interplay between capital, income, and exploitation rates.

Purpose of the Study:

To develop and present two non-linear dynamic models for optimizing commercial fishing.
To determine the optimal combination of exploitation, capital investment, and price variation.
To inform management policies by analyzing the control of these variables through capital utilization.

Main Methods:

Development of two non-linear dynamic models with varying state variables (two and three) and one control variable.
Simulation and analysis of model behavior under different management policy scenarios.
Investigation of the relationship between capital utilization, income, and exploitation rates.

Main Results:

The models provide a framework for identifying optimal management policies in commercial fisheries.
Capital utilization rate is identified as a key control mechanism for exploitation, capital, and price variation.
A novel finding is the dependence of capital variation on generated income, highlighting a feedback loop.

Conclusions:

The presented dynamic models offer valuable insights for optimizing commercial fishing industry management.
Effective control of capital utilization is essential for balancing economic and exploitation factors.
The income-dependent capital variation mechanism suggests a pathway for more adaptive and sustainable fisheries management.