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Hindi Predicting Fish Catch: Analyzing Influencing Factors in a Highly MixedTrawl Fishery Using Advanced Species Models
*Corresponding Author: Kati Kata, Department of Rural Economy, Scotland’s Rural College, United Kingdom, Email: katikata@gmail.comReceived Date: Oct 02, 2024 / Published Date: Oct 31, 2024
Citation: Kati K (2024) Predicting Fish Catch: Analyzing Influencing Factors in a Highly Mixed Trawl Fishery Using Advanced Species Models. J Fisheries Livest Prod 12: 587.DOI: 10.4172/2332-2608.1000587
Copyright: © 2024 Kati K. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
This study investigates the predictability of fish catch in a highly mixed trawl fishery by analyzing the various influencing factors through advanced species distribution models (SDMs). Understanding catch composition in mixed fisheries is crucial for effective management and sustainability, as these ecosystems often experience complex interactions among multiple species. We employed stacked and joint SDMs to examine the relationships between environmental variables, fishing practices, and species composition. Data were collected from fishery-independent surveys and fishing logs, providing a comprehensive dataset for model development and validation. Our findings reveal significant drivers of catch variability, including sea temperature, salinity, and habitat characteristics, which significantly influence species distribution patterns. The application of advanced modeling techniques enhanced our ability to predict fish catch and identify key ecological and environmental factors that contribute to species co-occurrence. This research not only contributes to the scientific understanding of mixed trawl fisheries but also provides practical implications for fishery management, offering insights into optimizing fishing strategies while ensuring sustainable practices. The results underscore the importance of integrating ecological knowledge into management frameworks to improve the resilience and productivity of mixed fishery systems.
