Revealing the effects of environmental and spatio-temporal variables on changes in Japanese sardine (Sardinops melanostictus) high abundance fishing grounds based on interpretable machine learning approach

Revealing the effects of environmental and spatio-temporal variables on changes in Japanese sardine (Sardinops melanostictus) high abundance fishing grounds based on interpretable machine learning approach

The construction of accurate and interpretable predictive model for high abundance fishing ground is conducive to better sustainable fisheries production and carbon reduction. This article used refined statistical maps to visualize the spatial and temporal patterns of catch changes based on the 2014...

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Bibliographic Details
Main Authors: Yongchuang Shi, Lei Yan, Shengmao Zhang, Fenghua Tang, Shenglong Yang, Wei Fan, Haibin Han, Yang Dai
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Marine Science
Subjects:
Sardinops melanostictus
model prediction performance
SHAP visualization
fishery management
Northwest Pacific Ocean
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2024.1503292/full
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