Predicting unseen chub mackerel densities through spatiotemporal machine learning: Indications of potential hyperdepletion in catch-per-unit-effort due to fishing ground contraction
In fisheries management, accurate estimates of fish stock abundances are crucial for sustainable harvesting practices. Traditional methods often rely on catch-per-unit-effort (CPUE) data, assuming fishing effort is uniformly distributed across the stock range. However, this assumption is often viola...
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Main Authors: | Shota Kunimatsu, Hiroyuki Kurota, Soyoka Muko, Seiji Ohshimo, Takeshi Tomiyama |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
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Series: | Ecological Informatics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954124004862 |
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