Estimating biomass migration parameters by analyzing the spatial behavior of the fishing fleet

TL;DR

This paper presents a novel method to estimate fish biomass migration parameters by analyzing fleet spatial behavior, combining discrete choice modeling and regression, demonstrated on the Chilean jack mackerel fishery.

Contribution

It introduces a new approach that integrates fleet behavior analysis with biological migration modeling to estimate migration parameters statistically.

Findings

Successfully estimated migration parameters for Chilean jack mackerel.

Identified significant migration patterns among fishery patches.

Provided a validated method for biological migration estimation using fleet data.

Abstract

In this study, a method will be developed and applied for estimating biological migration parameters of the biomass of a fishery resource by means of a decision analysis of the spatial behavior of the fleet. First, a model of discrete selection is estimated, together with patch capture function. This will allow estimating the biomass availability on each patch. In the second regression, values of biomass are used in order to estimate a model of biological migration between patches. This method is proven in the Chilean jack mackerel fishery. This will allow estimating statistically significant migration parameters, identifying migration patterns.