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<p>This study investigates the spatial association between the distribution of fishing aggregations of chub mackerel (<i>Scomber japonicus</i>) and frontal zones in the Pacific sector of the South Kuril fishing area during the 2020–2022 fishing seasons. Frontal structures were identified using horizontal gradients of sea surface density, temperature, and salinity, along with a Lagrangian indicator <i>S</i> based on surface current fields from upper-layer velocity data derived from the GLORYS12V1 ocean reanalysis. A unified approach, termed the Fishing Zone Gradient Method, was applied to automatically detect frontal zones via probability distribution functions of environmental gradients. For each recorded fishing event, the distance to the nearest frontal zone was quantified, and its relative position (e.g., warm vs. cold side of the front; “fast” vs. “slow” side in terms of Lagrangian transport) was determined. The results indicate that upper-layer density gradients exert the strongest influence on the spatial distribution of <i>S. japonicus</i> fishing aggregations. Temperature gradients also play a significant role in shaping favorable fishing conditions. In contrast, fronts defined by gradients in the Lagrangian indicator <i>S</i> and salinity exhibit a weaker relationship with fishing activity. In addition, three reanalysis products (GLORYS12V1, JCOPE2, GOFS3.1) were validated against in situ hydrographic observations collected during TINRO research cruises in the study region. GLORYS12V1 was identified as the most appropriate dataset for operational fisheries oceanography applications in the South Kuril sector.</p>

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Frontal Zones and Fishing Aggregations of chub Mackerel in the South Kuril area

  • 期刊论文

  • 发表日期：

    2026年7月30日

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  • M. A. Lebedeva,
  • T. V. Belonenko,
  • M. V. Budyansky,
  • M. Yu. Uleysky,
  • P. A. Fayman,
  • A. A. Didov

摘要

This study investigates the spatial association between the distribution of fishing aggregations of chub mackerel (Scomber japonicus) and frontal zones in the Pacific sector of the South Kuril fishing area during the 2020–2022 fishing seasons. Frontal structures were identified using horizontal gradients of sea surface density, temperature, and salinity, along with a Lagrangian indicator S based on surface current fields from upper-layer velocity data derived from the GLORYS12V1 ocean reanalysis. A unified approach, termed the Fishing Zone Gradient Method, was applied to automatically detect frontal zones via probability distribution functions of environmental gradients. For each recorded fishing event, the distance to the nearest frontal zone was quantified, and its relative position (e.g., warm vs. cold side of the front; “fast” vs. “slow” side in terms of Lagrangian transport) was determined. The results indicate that upper-layer density gradients exert the strongest influence on the spatial distribution of S. japonicus fishing aggregations. Temperature gradients also play a significant role in shaping favorable fishing conditions. In contrast, fronts defined by gradients in the Lagrangian indicator S and salinity exhibit a weaker relationship with fishing activity. In addition, three reanalysis products (GLORYS12V1, JCOPE2, GOFS3.1) were validated against in situ hydrographic observations collected during TINRO research cruises in the study region. GLORYS12V1 was identified as the most appropriate dataset for operational fisheries oceanography applications in the South Kuril sector.