| 基于栖息地指数的西北太平洋日本鲭渔情预报模型构建 |
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| 引用本文： | 范秀梅,唐峰华,崔雪森,杨胜龙,朱文斌,黄良敏.基于栖息地指数的西北太平洋日本鲭渔情预报模型构建[J].海洋学报,2020,42(12):34-43. |
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| 作者姓名： | 范秀梅 唐峰华 崔雪森 杨胜龙 朱文斌 黄良敏 |
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| 作者单位： | 1.中国水产科学研究院东海水产研究所 农业农村部远洋与极地渔业创新重点实验室，上海 200090 |
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| 基金项目： | 浙江省远洋渔业资源探捕项目;上海市自然科学基金;福建省海洋渔业资源与生态环境重点实验室开放基金;国家重点研发计划;国家自然科学基金;中国水产科学研究院基本科研业务费专项 |
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| 摘 要： | 根据2014?2017年5?11月西北太平洋公海灯光围网日本鲭(Scomber japonicus)生产数据，结合同期的环境遥感数据，分别基于捕捞量和作业次数，构建日本鲭栖息地适宜性指数(Habitat Suitability Index，HSI)模型。选取海表水温、海面高度异常和叶绿素a浓度，采用一元指数回归拟合，建立各个环境变量的适应性指数模型，并利用线性规划方法确定各环境因子的权重，从而提高日本鲭HSI模型对渔场的预报精度。利用2018年5?11月的实际捕捞数据对模型进行预报准确率验证，在基于渔获量和作业次数构建的HSI模型中，HSI大于0.7的海域，渔获量平均占比分别为77.29%、76.79%，这表明基于不同权重环境因子的HSI模型能够较好地预测西北太平洋公海日本鲭中心渔场。
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| 关 键 词： | 栖息地适宜性指数 渔场 西北太平洋 日本鲭 |
| 收稿时间： | 2019-12-27 |
Habitat suitability index for chub mackerel (Scomber japonicus) in the Northwest Pacific Ocean |
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| Institution: | 1.Key Laboratory of Oceanic and Polar Fisheries, Ministry of Agriculture and Rural Affairs, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China2.Marine Fisheries Research Institute of Zhejiang, Zhoushan 316021, China3.Fujian Provincial Key Laboratory of Marine Fishery Resources and Eco-environment, Jimei University, Xiamen 361021, China |
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| Abstract: | Using fishery data of Scomber japonicus from Chinese light-purse seine fishing on the high seas of the Northwest Pacific Ocean from May to November during 2014 to 2017, and the environmental remote sensing data, the habitat suitability index (HSI) model of Scomber japonicus was constructed based on fish catch and nos of hauls, respectively. Applying sea surface temperature, sea level anomaly, chlorophyll a concentration, the suitability index model of each environmental variable was established by one-dimensional exponential regression fitting. The weight of each environmental factor was determined by linear programming method to improve the prediction precision of HSI model for fishing ground. The prediction accuracy of the HSI model was verified with the actual fishing data from May to November in 2018, and the results showed that in the sea areas with HSI values over 0.7, the fishing catches accounts for 77.29% for HSI model based on fish catch and 76.79% for HSI model based on nos of hauls respectively, which indicates that the HSI model based on different environmental factor weights can better predict the central fishing ground of Scomber japonicus on the high seas of the Northwest Pacific Ocean. |
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