Enhancing fisheries management through data integration: A case study of the Seychelles fisheries
Clémentine Violette (),
Juliette Lucas,
Cindy Assan,
Julien Lebranchu () and
Pascal Cauquil ()
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Clémentine Violette: IRD - Institut de Recherche pour le Développement, UMR MARBEC - MARine Biodiversity Exploitation and Conservation - MARBEC - IRD - Institut de Recherche pour le Développement - IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer - CNRS - Centre National de la Recherche Scientifique - UM - Université de Montpellier
Juliette Lucas: SFA - Seychelles Fishing Authority (SFA) - Université des Seychelles
Cindy Assan: SFA - Seychelles Fishing Authority (SFA) - Université des Seychelles
Julien Lebranchu: IRD - Institut de Recherche pour le Développement, UMR MARBEC - MARine Biodiversity Exploitation and Conservation - MARBEC - IRD - Institut de Recherche pour le Développement - IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer - CNRS - Centre National de la Recherche Scientifique - UM - Université de Montpellier
Pascal Cauquil: IRD - Institut de Recherche pour le Développement, UMR MARBEC - MARine Biodiversity Exploitation and Conservation - MARBEC - IRD - Institut de Recherche pour le Développement - IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer - CNRS - Centre National de la Recherche Scientifique - UM - Université de Montpellier
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Abstract:
Effective fisheries management relies on robust data collection and analysis to monitor operations, assess stock status, evaluate impacts, and develop sustainable management strategies. A well-structured data life cycle encompassing collection, storage, analysis, and dissemination, ensures data quality and accessibility, supporting informed decision-making and sustainable resource management. With the largest Exclusive Economic Zone (EEZ) in the Western Indian Ocean, Seychelles' fisheries sector is vital to the nation's economy and marine conservation efforts. The Seychelles Fisheries Authority (SFA) has led the sustainable management of these resources for over four decades, harmonizing economic development with marine ecosystem conservation. However, the complexity of managing diverse fisheries, each with their specific challenge highlights the need for an efficient and transparent data workflow. To address this, the French National Research Institute for Sustainable Development (IRD) and SFA have collaborated to enhance data governance by developing a structured and integrated computer system. This joint effort consolidates various data sources, including fishing operations documents, vessel tracking, and biological information into a relational database driven by web services and graphical interfaces. By improving data, reducing redundancy, and minimizing errors, this system strengthens the ability to analyze complex datasets and monitor trends effectively. This presentation will outline the various stages of the data life cycle from data collection, validation and processing to dissemination and reporting, focusing on the IRD-developed integrated system within the SFA fisheries management framework. It will also showcase the new opportunities this deployment brings, from enhanced data analysis and decision-making to improved operational efficiency. By leveraging relational databases, fisheries management can enhance data accessibility, foster regional collaboration, and support the development of evidence-based policies for sustainable resource management.
Keywords: Fisheries; Fisheries Information System; Fisheries management; International collaboration; Data workflow management (search for similar items in EconPapers)
Date: 2025-09-28
Note: View the original document on HAL open archive server: https://ird.hal.science/ird-05206806v1
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Published in 13th WIOMSA Scientific Symposium, Sep 2025, Mombasa, Kenya
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