基于不同渔船数据源的西南大西洋阿根廷滑柔鱼生境适宜性建模与比较
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S934;TP18

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国家重点研发计划(2023YFD2401305);国家自然科学基金(42476086,42006159);华为AI百校计划(hid09976227);上海金优鱿钓渔业科技创新能力提升项目(D-8006-25-0098)


Habitat suitability modeling and comparison of Illex argentinus in the Southwest Atlantic based on different fishing vessel data sources
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    摘要:

    为了识别西南大西洋阿根廷滑柔鱼(Illex argentinus)适宜作业区,比较不同类型渔船活动数据在栖息地适宜性指数(Habitat suitability index,HSI)模型渔场预测中的适用性与差异性。实验以西南大西洋为研究区,采用2017—2023年1—5月船舶自动识别系统(Automatic identification system,AIS)数据和可见光红外成像辐射仪套件(Visible infrared imaging radiometer suite,VIIRS)船舶探测(VIIRS boat detection,VBD)数据作为实验集,表征鱿钓船捕捞努力量,结合多源、多深度海洋环境因子,利用增强回归树(Boosted regression tree,BRT)模型筛选月尺度关键环境变量并确定权重,在此基础上构建加权算术平均模型(Weighted arithmetic mean model,WAMM)和加权几何平均模型(Weighted geometric mean model,WGMM),对2024年1—5月适宜作业区进行预测,采用2024年AIS、VBD数据及渔业生产统计数据进行验证。结果显示,BRT模型能够识别影响作业分布的关键环境因子,基于AIS数据构建的BRT模型交叉验证曲线下面积(Area under the curve,AUC)为0.91~0.96,基于VBD数据构建的BRT模型AUC为0.81~0.83。基于两种数据构建的BRT模型筛选结果表明,影响阿根廷滑柔鱼作业分布的关键环境因子为海水温度、海水盐度和海表面高度。HSI模型验证结果表明,WAMM在AIS和VBD数据下的适宜栖息地平均占比分别为81.01%和71.15%,均高于WGMM。2024年1—5月,高适宜生境主要沿巴塔哥尼亚陆架外缘及坡折带呈带状分布,并在福克兰群岛北部及东北侧形成局地高值区。研究表明,基于BRT赋权的WAMM模型更适用于阿根廷滑柔鱼适宜作业区识别;AIS数据在月尺度上有利于表征作业活动的空间连续性和整体分布格局,VBD数据在渔汛中后期对高渔获和高单位努力量渔获量(Catch per unit effort,CPUE)区域的覆盖比例更高。本研究可为西南大西洋阿根廷滑柔鱼渔场识别、动态监测与多源渔船活动数据联合应用提供方法参考。

    Abstract:

    To identify suitable fishing areas for Argentine shortfin squid (Illex argentinus) in the Southwest Atlantic and to compare the applicability and differences of different types of fishing-vessel activity data in habitat suitability index (HSI)-based fishing-ground prediction, this study selected the Southwest Atlantic as the study area. Automatic identification system (AIS) data and visible infrared imaging radiometer suite (VIIRS) boat detection (VBD) data from January to May during 2017–2023 were used as experimental datasets to represent squid-jigging fishing effort. These data were combined with multi-source and multi-depth marine environmental variables. A boosted regression tree (BRT) model was used to screen monthly key environmental variables and determine their weights. Based on the weighting results, a weighted arithmetic mean model (WAMM) and a weighted geometric mean model (WGMM) were constructed to predict suitable fishing areas from January to May 2024. The prediction results were validated using AIS data, VBD data, and fishery production statistics in 2024. The results showed that the BRT model was able to identify the key environmental factors affecting the distribution of fishing activity. The cross-validated area under the curve (AUC) of the AIS-based BRT model ranged from 0.91 to 0.96, while that of the VBD-based BRT model ranged from 0.81 to 0.83. The variable-selection results from the BRT models constructed using the two types of data indicated that seawater temperature, seawater salinity, and sea surface height were the key environmental factors influencing the fishing activity distribution of I. argentinus. HSI model validation showed that the average proportions of suitable habitats under the WAMM based on AIS and VBD data were 81.01% and 71.15%, respectively, both higher than those under the WGMM. From January to May 2024, highly suitable habitats were mainly distributed in a belt-like pattern along the outer Patagonian Shelf and the shelf-slope zone, with localized high-value areas occurring to the north and northeast of the Falkland Islands. The results suggest that the BRT-weighted WAMM is more suitable for identifying suitable fishing areas for I. argentinus. AIS data are advantageous for characterizing the spatial continuity and overall distribution pattern of fishing activity at the monthly scale, whereas VBD data show higher coverage of high-catch and high-catch per unit effort (CPUE) areas during the middle and late fishing season. This study provides a methodological reference for fishing-ground identification, dynamic monitoring, and the joint application of multi-source fishing-vessel activity data for I. argentinus in the Southwest Atlantic.

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熊品岩,杨皓翔,柳彬,陈新军,余为,汪金涛,刘大鹏.基于不同渔船数据源的西南大西洋阿根廷滑柔鱼生境适宜性建模与比较[J].上海海洋大学学报,2026,35(5):1317-1332.
XIONG Pinyan, YANG Haoxiang, LIU Bin, CHEN Xinjun, YU Wei, WANG Jintao, LIU Dapeng. Habitat suitability modeling and comparison of Illex argentinus in the Southwest Atlantic based on different fishing vessel data sources[J]. Journal of Shanghai Ocean University,2026,35(5):1317-1332.

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  • 收稿日期:2026-04-25
  • 最后修改日期:2026-05-30
  • 录用日期:2026-06-24
  • 在线发布日期: 2026-09-08
  • 出版日期: 2026-09-30
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