Inferring the ecology of north-Pacific albacore tuna from catch-and-effort data
Hirotaka Ijima, Carolina Minte-Vera, Yi-Jay Chang, Daisuke Ochi,, Yuichi Tsuda, Marko Jusup

TL;DR
This study uses unsupervised learning on catch-and-effort data to identify four age-based pseudo-cohorts of north Pacific albacore tuna, revealing habitat preferences and migratory routes crucial for management.
Contribution
The paper introduces a novel application of finite mixture modeling to catch-and-effort data, uncovering ecological insights about albacore tuna's age groups and habitats.
Findings
Four pseudo-cohorts identified, aged 3 to 12 years.
Smaller cohorts inhabit higher latitudes, larger cohorts prefer lower latitudes.
Results suggest size-dependent habitat preferences and migratory routes.
Abstract
Catch-and-effort data are among the primary sources of information for assessing the status of terrestrial wildlife and fish. In fishery science, elaborate stock-assessment models are fitted to such data in order to estimate fish-population sizes and guide management decisions. Given the importance of catch-and-effort data, we scoured a comprehensive dataset pertaining to albacore tuna (Thunnus alalunga) in the north Pacific ocean for novel ecological information content about this commercially valuable species. Specifically, we used unsupervised learning based on finite mixture modelling to reveal that the north Pacific albacore-tuna stock can be divided into four pseudo-cohorts ranging in age from approximately 3 to 12 years old. We discovered that smaller size pseudo-cohorts inhabit relatively high -- subtropical to temperate -- latitudes, with hotspots off the coast of Japan. Larger…
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Taxonomy
TopicsMarine and fisheries research · Marine Bivalve and Aquaculture Studies · Marine animal studies overview
