基于MaxEnt模型模拟中西太平洋鲣自由鱼群栖息地的研究

汪伟松; 唐未; 龚一赫; 王学昉; 李玉伟

doi:10.12131/20230011

基于MaxEnt模型模拟中西太平洋鲣自由鱼群栖息地的研究

doi: 10.12131/20230011

汪伟松^1,,
唐未¹,
龚一赫¹,
王学昉^{1, 2, 3, 4},
李玉伟^{1, 2, 3, 4, ,}

1.
上海海洋大学海洋科学学院，上海 201306
2.
国家远洋渔业工程技术研究中心，上海 201306
3.
大洋渔业资源可持续开发教育部重点实验室，上海 201306
4.
农业农村部大洋渔业资源环境科学观测实验站，上海 201306

基金项目: 国家自然科学基金青年科学基金项目 (41506151)；国家重点研发计划 “蓝色粮仓科技创新”专项 (2019YFD0901404)；国家远洋渔业工程技术研究中心开放基金 (A1-2006-23-200204)

详细信息

作者简介:
汪伟松 (1996—)，男，硕士研究生，研究方向为渔业海洋学。E-mail: weisong19961219@163.com

通讯作者:
李玉伟 (1984—)，男，讲师，博士，研究方向为渔具力学。E-mail: ywli@shou.edu.cn

中图分类号: S 932.4
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- 被引次数: 0
出版历程
- 收稿日期: 2023-02-05
- 修回日期: 2023-05-09
- 录用日期: 2023-05-25
- 网络出版日期: 2023-06-06
- 刊出日期: 2023-10-05

Modeling habitat of skipjack tuna of free swimming school in Western and Central Pacific Ocean based on MaxEnt model

WANG Weisong^1
,,
TANG Wei¹,
GONG Yihe¹,
WANG Xuefang^{1, 2, 3, 4},
LI Yuwei^{1, 2, 3, 4
, ,}

1.
College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
2.
National Distant-Water Fisheries Engineering Research Center, Shanghai 201306, China
3.
Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China
4.
Scientific Observing and Experimental Station of Oceanic Fishery Resources, Ministry of Agriculture and Rural Affairs, Shanghai 201306, China

摘要

摘要: 由于漂流人工集鱼装置 (Fish aggregating device, FAD) 的大量使用对金枪鱼种群带来的负面效应，金枪鱼围网渔业转向捕捞自由群成为发展趋势，因此开展鲣 (Katsuwonus pelamis) 自由群的栖息地利用研究非常必要。使用2016—2020年中西太平洋渔业委员会 (Western and Central Pacific Fisheries Commission, WCPFC) 统计的月度金枪鱼渔业数据和不同层的水温 (SST、Temp₂₀₀)、海表盐度 (SSS)、溶解氧浓度 (DO₀、DO₅₀、DO₂₀₀)、东西向海流速度 (EV)、南北向海流速度 (NV)、混合层深度 (MLD)、叶绿素 a 浓度 (CHL₀、CHL₅₀、CHL₁₀₀、CHL₂₀₀) 共13个环境变量，通过最大熵模型 (Maximum Entropy Model, MaxEnt) 模拟鲣自由群的栖息地分布及其月变化规律。结果表明：模型测试和训练集的AUC值及灵敏度值均大于0.90，真实技巧统计值大于0.80，模型具有很强的预测能力，可用于鲣的栖息地适宜性模拟；SST和DO₂₀₀是影响鲣自由群栖息地偏好的关键因子，最适范围分别为30~31 ℃、114~153 mmol·m⁻³。研究期内，鲣自由群高适宜栖息地主要靠近巴布亚新几内亚和所罗门群岛海域，不同时期向东延伸的范围有较大变化，经度差达到6°。研究结果可为中国金枪鱼围网船队进行鲣自由群中心渔场的预报提供参考。
- 鲣 /
- 最大熵模型 /
- 栖息地适宜性 /
- 自由鱼群 /
- 中西太平洋
Abstract: Due to the negative effects of extensive use of drifting artificial fish aggregating devices (FADs) on tuna stocks, tuna purse seine fishing has become a development trend towards catching free swimming school, so it is necessary to specifically study the habitat use of free swimming school of skipjack tuna (Katsuwonus pelamis). In this study, we used monthly tuna fishery data from the Western and Central Pacific Fisheries Commission (WCPFC) from 2016 to 2020, different layers of water temperature (SST, Temp₂₀₀), sea surface salinity (SSS), dissolved oxygen concentration (DO₀, DO₅₀, DO₂₀₀), east-west current velocity (EV), north-south current velocity (NV), mixed layer depth (MLD), chlorophyll a concentration (CHL₀, CHL₅₀, CHL₁₀₀, CHL₂₀₀), and a total of 13 environmental variables by Maximum Entropy (MaxEnt) model to simulate the habitat distribution of the free swimming school and their monthly variation patterns. The results show that the AUC and sensitivity values of both the test and training set of the model were greater than 0.90, and the true skill statistics values were greater than 0.80, indicating that the model has strong predictive ability and can be used for the habitat suitability modeling of skipjack tuna. SST and DO₂₀₀ were the key factors affecting the habitat preference of free swimming school, with the optimal ranges of 30−31 ℃ and 114−153 mmol·m⁻³, respectively. During the survey period, the highly suitable habitat for free swimming school was mainly near the waters of Papua New Guinea and Solomon Islands, with a large variation in the range extending eastward in different periods, and the difference in longitude reached 6°. The results provide references for the prediction of the central fishing ground of free swimming school of skipjack tuna by Chinese tuna purse seine fleet.
- Katsuwonus pelamis /
- MaxEnt Model /
- Habitat suitability /
- Free swimming school /
- Western and Central Pacific Ocean

HTML全文

图 1 2016—2020 年中西太平洋金枪鱼围网捕捞自由鱼群的作业位置分布

Figure 1. Distribution of operating positions for tuna purse seine fishing of free fish schools in Western and Central Pacific Ocean from 2016 to 2020

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图 2 2016—2020 年模型性能的综合评价

Figure 2. Comprehensive evaluation of model performance from 2016 to 2020

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图 3 2016—2020 年使用 Jackknife 检验得到的测试增益

Figure 3. Test gain obtained using Jackknife test from 2016 to 2020

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图 4 海表温度对中西太平洋鲣栖息地适宜性的响应曲线

Figure 4. Response curves of SST to habitat suitability of skipjack tuna in Western and Central Pacific Ocean

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图 5 200 m 水层溶解氧浓度对中西太平洋鲣栖息地适宜性的响应曲线

Figure 5. Response curves of DO₂₀₀ to habitat suitability of skipjack tuna in Western and Central Pacific Ocean

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图 6 2016—2020 年中西太平洋鲣自由鱼群潜在栖息地适宜性指数分布

注：图中白色区域表示无数据。

Figure 6. Distribution of potential habitat suitability index for free swimming school of skipjack tuna in Western and Central Pacific Ocean from 2016 to 2020

Note: The white area in the figure indicates no data.

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表 1 2016—2020 年环境因子年平均贡献率

Table 1. Average annual contribution rate of environmental factors from 2016 to 2020

环境因子 Environmental factor	年平均贡献率 Average annual contribution rate/%
环境因子 Environmental factor	2016	2017	2018	2019	2020	均值 Mean
海表温度 SST	59.35	61.11	68.61	63.15	55.47	61.54
50 m 叶绿素 a 浓度 CHL₅₀	11.41	10.59	10.94	12.07	13.86	11.77
200 m 溶解氧浓度 DO₂₀₀	6.14	9.90	7.12	5.50	5.38	6.81
200 m 水温 Temp₂₀₀	4.73	3.79	3.80	5.45	7.44	5.04
表层叶绿素 a 浓度 CHL₀	2.90	3.81	1.18	4.25	6.48	3.72
海表盐度 SSS	4.77	3.75	3.06	2.22	3.61	3.48
海流速度 EV	2.68	1.13	1.01	1.03	1.69	1.51
表层溶解氧浓度 DO₀	1.77	1.84	1.13	1.09	1.63	1.49
混合层深度 MLD	1.77	1.18	1.06	2.35	0.87	1.45
200 m 叶绿素 a 浓度 CHL₂₀₀	1.24	1.79	0.92	1.41	1.69	1.41
100 m 叶绿素 a 浓度 CHL₁₀₀	2.09	0.39	0.62	0.72	0.60	0.88
50 m 溶解氧浓度 DO₅₀	0.84	0.39	0.43	0.46	0.96	0.62
南北向的海流速度 NV	0.32	0.33	0.11	0.32	0.34	0.28

下载: 导出CSV

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