Fleet Behaviour Under Economic Uncertainty: Multi‐Species Policy Scenarios for the Purse‐Seine Fishery

ABSTRACT Managing fishing effort remains a central challenge in achieving sustainability in many fisheries, particularly where high‐value species attract intense competition. In the Indian Ocean tropical tuna fishery, understanding how fishers respond to changing bio‐economic conditions is essential for developing effective management. This study evaluates the influence of effort‐based management measures on the size and investment behaviour of the purse‐seine fleet targeting skipjack ( Katsuwonus pelamis ) and yellowfin tuna ( Thunnus albacares ). Using Random Utility Models (RUMs), we identify the key economic drivers of strategic decision‐making, validate them through model evaluation, and integrate them with age‐structured operating models (OMs). The RUM achieves 93% predictive accuracy, offering a robust basis for exploring policy options that balance conservation and economic objectives. Scenario testing under different cost and price conditions illustrates how economic pressures shape entry and exit decisions within the fleet.

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Publication Details

Journal
Fisheries Management and Ecology
Published
2026-03-31
DOI
https://doi.org/10.1111/fme.70071
Primary Topic
Marine and fisheries research
Type
article
Field-Weighted Citation Impact
0.00

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article

Fleet Behaviour Under Economic Uncertainty: Multi‐Species Policy Scenarios for the Purse‐Seine Fishery

Laurent Dagorn, Patrice Guillotreau, Alex Tidd, Manuela Capello et al.
Fisheries Management and Ecology
Marine and fisheries research
article

Fleet Behaviour Under Economic Uncertainty: Multi‐Species Policy Scenarios for the Purse‐Seine Fishery

Laurent Dagorn, Patrice Guillotreau, Alex Tidd, Manuela Capello, Mariana Travassos
article en

Abstract

ABSTRACT Managing fishing effort remains a central challenge in achieving sustainability in many fisheries, particularly where high‐value species attract intense competition. In the Indian Ocean tropical tuna fishery, understanding how fishers respond to changing bio‐economic conditions is essential for developing effective management. This study evaluates the influence of effort‐based management measures on the size and investment behaviour of the purse‐seine fleet targeting skipjack ( Katsuwonus pelamis ) and yellowfin tuna ( Thunnus albacares ). Using Random Utility Models (RUMs), we identify the key economic drivers of strategic decision‐making, validate them through model evaluation, and integrate them with age‐structured operating models (OMs). The RUM achieves 93% predictive accuracy, offering a robust basis for exploring policy options that balance conservation and economic objectives. Scenario testing under different cost and price conditions illustrates how economic pressures shape entry and exit decisions within the fleet.

Fisheries Management and Ecology
Centre National de la Recherche Scientifique (FR), Ifremer (FR), Université de Montpellier (FR), Marine Biodiversity Exploitation and Conservation (FR), Institut de Recherche pour le Développement (FR)
International Seafood Sustainability Foundation
Openalex Percentile: Top 28%
Marine and fisheries research
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