Volume 20 Issue 2
Apr.  2024
Turn off MathJax
Article Contents
Abstract
References
Related Articles
DING Peng, ZOU Xiaorong, DING Shuyi, BAI Siqi. Study on relationship between Thunnus albacares catches and climatic factors based on CNN-BiLSTM model[J]. South China Fisheries Science, 2024, 20(2): 19-26. DOI: 10.12131/20230190
Citation: DING Peng, ZOU Xiaorong, DING Shuyi, BAI Siqi. Study on relationship between Thunnus albacares catches and climatic factors based on CNN-BiLSTM model[J]. South China Fisheries Science, 2024, 20(2): 19-26. DOI: 10.12131/20230190
shu

Study on relationship between Thunnus albacares catches and climatic factors based on CNN-BiLSTM model

  • 1.

    College of Marine Living Resource Sciences and Management, Shanghai Ocean University, Shanghai 201306, China

  • 2.

    Collaborative Innovation Center for National Distant-Water Fisheries, Shanghai 201306, China

  • 3.

    Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China

  • 4.

    National Distant-Water Fisheries Engineering Research Center, Shanghai 201306, China

  • 5.

    Scientific Observing and Experimental Station of Oceanic Fishery Resources, Ministry of Agriculture and Rural Affairs, Shanghai 201306, China

  • 6.

    School of Education, Shangdong Women's University, Jinan 250300, China

More Information
  • Received Date: October 05, 2023
  • Revised Date: October 31, 2023
  • Accepted Date: December 03, 2023
  • Available Online: December 06, 2023
    Graphical Abstract
    • Abstract

  • To explore the impact of climatic factors on Thunnus albacares catches, we studied its relationship with low-frequency climatic factors by using correlation analysis, BP neural network, LSTM model, BiLSTM model and CNN-BiLSTM model based on the data of nine climate factors, including Southern Oscillation Index (SOI), Pacific Decadal Oscillation (PDO), North Atlantic Oscillation (NAO), North Pacific Index (NPI), global sea-air temperature anomaly index (dT), El Niño-related indexes (Niño1+2, Niño3, Niño4, Niño3.4) from 1960 to 2021, as well as global T. albacares catches data. The results show that the importance of climate change characterization factors on T. albacares catches followed a descending order of dT＞SOI＞Niño1+2＞PDO＞NPI＞NAO, whose corresponding optimal lag periods were 0, 11, 6, 5, 15 and 0 years, respectively. CNN-BiLSTM model had the highest prediction accuracy, followed by BiLSTM, LSTM and BP. The goodness of fit between the predicted and actual values of CNN-BiLSTM model was 0.887, with a mean absolute error of 0.125 and a root mean square error of 0.154. The trend of predicted values and actual values was basically consistent, indicating a good model fitting effect.

    • FullText(HTML)
    • References (47)
  • [1]
    石肖飞, 王啸, 王佚兮, 等. 热带中西太平洋海域黄鳍金枪鱼的摄食生物学特性[J]. 南方水产科学, 2022, 18(1): 43-51.
    [2]
    郭爱, 陈新军. ENSO与中西太平洋金枪鱼围网资源丰度及其渔场变动的关系[J]. 海洋渔业, 2005(4): 338-342.
    [3]
    林泓羽, 汪金涛, 陈新军, 等. 中西太平洋暖池时空变动及其对鲣分布的影响[J]. 南方水产科学, 2023, 19(3): 173-180. doi: 10.12131/20220235
    [4]
    周为峰, 陈亮亮, 崔雪森, 等. 异常气候下温跃层及时空因子对中西太平洋黄鳍金枪鱼渔场分布的影响[J]. 中国农业科技导报, 2021, 23(10): 192-201.
    [5]
    王啸, 刘文俊, 张健. 基于ARIMA的海洋尼诺指数对中西太平洋黄鳍金枪鱼年际CPUE的影响[J]. 南方水产科学, 2023, 19(4): 10-20. doi: 10.12131/20230007
    [6]
    沈建华, 陈雪冬, 崔雪森. 中西太平洋金枪鱼围网鲣鱼渔获量时空分布分析[J]. 海洋渔业, 2006(1): 13-19.
    [7]
    LU H J, LEE K T, LIN H L, et al. Spatio-temporal distribution of yellowfin tuna Thunnus albacares and bigeye tuna Thunnus obesus in the Tropical Pacific Ocean in relation to large-scale temperature fluctuation during ENSO episodes[J]. Fish Sci, 2001, 67(6): 1046-1052. doi: 10.1046/j.1444-2906.2001.00360.x
    [8]
    李鹏, 许柳雄, 周成, 等. 中西太平洋金枪鱼围网自由鱼群渔场重心变动及其与南方涛动指数的关系[J]. 南方水产科学, 2020, 16(2): 70-76.
    [9]
    KLYASHTORIN L B. Long-term climate change and main commercial fish production in the Atlantic and Pacific[J]. Fish Res, 1998, 37(1/2/3): 115-125.
    [10]
    SOYKAN C U, EGUCHI T, KOHIN S, et al. Prediction of fishing effort distributions using boosted regression trees[J]. Ecol Appl, 2014, 24(1): 71-83. doi: 10.1890/12-0826.1
    [11]
    CHEUNG W W L, LAN V, SARMIENTO J, et al. Large-scale redistribution of maximum fisheries catch potential in the global ocean under climate change[J]. Glob Change Biol, 2010(16): 24-35.
    [12]
    王少琴, 许柳雄, 朱国平, 等. 中西太平洋金枪鱼围网的黄鳍金枪鱼CPUE时空分布及其与环境因子的关系[J]. 大连海洋大学学报, 2014, 29(3): 303-308.
    [13]
    唐峰华, 崔雪森, 杨胜龙, 等. 海洋环境对中西太平洋金枪鱼围网渔场影响的GIS时空分析[J]. 南方水产科学, 2014, 10(2): 18-26.
    [14]
    肖启华, 黄硕琳. 气候变化对东南太平洋智利竹䇲鱼渔获量的影响[J]. 中国水产科学, 2021, 28(8): 1020-1029.
    [15]
    周永江, 姚宜斌, 熊永良, 等. 基于Spearman秩相关系数的PWV与PM2.5相关性研究[J]. 大地测量与地球动力学, 2020, 40(3): 236-241.
    [16]
    肖启华. 气候变化背景下东南太平洋智利竹䇲鱼资源评估模型研究[D]. 上海: 上海海洋大学, 2021: 16-42.
    [17]
    肖启华, 黄硕琳. 气候变化对海洋渔业资源的影响[J]. 水产学报, 2016, 40(7): 1089-1098.
    [18]
    徐策, 张力, 余静, 等. 气候变化对中国近海捕捞渔业的影响: 以太平洋年代际涛动为例[J]. 资源科学, 2022, 44(2): 386-400.
    [19]
    宋利明, 任士雨, 张敏, 等. 基于集成学习的大西洋热带水域大眼金枪鱼渔情预报[J]. 水产学报, 2023, 47(4): 64-76.
    [20]
    刘佳翰, 陈克绪, 马建, 等. 基于卷积神经网络和随机森林的三相电压暂降分类[J]. 电力系统保护与控制, 2019, 47(20): 112-118.
    [21]
    许回. 不同空间分辨率对LSTM渔场预报精度的影响及在最佳空间分辨率下其预报结果与QRM结果的比较[D]. 上海: 上海海洋大学, 2023: 18-21.
    [22]
    周凯, 焦龄霄, 胡志坚, 等. 基于注意力机制的CNN-BiLSTM操作票自动校核方法[J]. 武汉大学学报(工学版), 2023, 56(9): 1114-1123.
    [23]
    陈纬楠, 胡志坚, 岳菁鹏, 等. 基于长短期记忆网络和LightGBM组合模型的短期负荷预测[J]. 电力系统自动化, 2021, 45(4): 91-97.
    [24]
    范宇雪, 王江文, 梅桂明, 等. 基于BI-LSTM的小样本滚动轴承故障诊断方法研究[J]. 噪声与振动控制, 2020, 40(4): 103-108.
    [25]
    郭力, 郑良瑞, 冯浪. 基于相关性分析与CNN-BiLSTM神经网络的PSZ陶瓷磨削表面粗糙度智能预测[J]. 南京航空航天大学学报, 2023, 55(3): 401-409.
    [26]
    袁红春, 张永, 张天蛟. 基于EMD-BiLSTM的太平洋大眼金枪鱼渔场预报模型研究[J]. 渔业现代化, 2021, 48(1): 87-96.
    [27]
    LIN D M, CHEN X J, CHEN Y, et al. Ovarian development in Argentinean shortfin squid Illexargentinus: group-synchrony for corroboration of intermittent spawning strategy[J]. Hydrobiologia, 2017, 795(1): 327-339. doi: 10.1007/s10750-017-3154-y
    [28]
    RODHOUSE P G. Managing and forecasting squid fisheries in variable environments[J]. Fish Res, 2001, 54(1): 3-8. doi: 10.1016/S0165-7836(01)00370-8
    [29]
    余为, 陈新军, 易倩. 不同气候模态下西北太平洋柔鱼渔场环境特征分析[J]. 水产学报, 2017, 41(4): 525-534.
    [30]
    陈丙见, 冯志萍, 余为. 厄尔尼诺和拉尼娜发生期太平洋褶柔鱼秋生群资源丰度的响应研究[J]. 中国水产科学, 2022, 29(11): 1636-1646.
    [31]
    周甦芳. 厄尔尼诺-南方涛动现象对中西太平洋鲣鱼围网渔场的影响[J]. 中国水产科学, 2005, 12(6): 73-78.
    [32]
    官文江, 朱江峰, 高峰. 印度洋长鳍金枪鱼资源评估的影响因素分析[J]. 中国水产科学, 2018, 25(5): 1102-1114.
    [33]
    李娜, 陆化杰, 陈新军. 基于不同BP神经网络的西南大西洋阿根廷滑柔鱼渔场预报模型比较[J]. 广东海洋大学学报, 2017, 37(1): 65-71.
    [34]
    丁鹏, 邹晓荣, 白思琦, 等. 东南太平洋智利竹䇲鱼渔场时空分析与资源丰度的预测[J]. 大连海洋大学学报, 2021, 36(4): 629-636.
    [35]
    丁鹏, 邹晓荣, 冯超, 等. 东南太平洋智利竹䇲鱼的洄游路线[J]. 大连海洋大学学报, 2021, 36(6): 1027-1034.
    [36]
    陈雪忠, 樊伟, 崔雪森, 等. 基于随机森林的印度洋长鳍金枪鱼渔场预报[J]. 海洋学报(中文版), 2013, 35(1): 158-164.
    [37]
    房崇鑫, 盛震宇, 夏明, 等. 基于CNN-BiLSTM混合神经网络的雷达信号调制方式识别[J/OL]. 无线电工程: 1-10. [2023-09-28].
    [38]
    国显达, 那日萨, 崔少泽. 基于CNN-BiLSTM的消费者网络评论情感分析[J]. 系统工程理论与实践, 2020, 40(3): 653-663.
    [39]
    HAMPTON J, LEWIS A, WILLIAMS P. The western and central Pacific tuna fishery: overview and status of stocks [M]// New Caledonia: Secretariat of the Pacific Community, 1999: 8-12.
    [40]
    HAMPTON J. Estimates of tag-reporting and tag-shedding rates in a large-scale tuna tagging experiment in the western tropical Pacific Ocean[J]. Oceanogr Lit Rev, 1997, 95(1): 68-79.
    [41]
    BAKUN A, PARRISH R H. Comparative studies of coastal pelagic fish reproductive habitats: the Brazilian sardine (Sardinella aurita)[J]. ICES J Mar Sci, 1990, 46(3): 269-283. doi: 10.1093/icesjms/46.3.269
    [42]
    DEARY A L, MORET-FERGUSON S, ENGELS M, et al. Influence of Central Pacific oceanographic conditions on the potential vertical habitat of four tropical tuna species[J]. Pac Sci, 2015, 69(4): 461-476. doi: 10.2984/69.4.3
    [43]
    ERNESTO T O, ARTURO M M, ARMANDO T, et al. Variation in yellowfin tuna (Thunnus albacares) catches related to El Niño-Southern Oscillation events at the entrance to the Gulf of California[J]. Fish Bull, 2006, 104(2): 197-203.
    [44]
    WILLIAMS P, RUAIA T. Overview of tuna fisheries in the western and central Pacific Ocean, including economic conditions–2019[C]//16th WCPFC Scientific Committee Meeting (SC16). Pohnpei State, Federated States of Micronesia: WCPFC, 2020: 7.
    [45]
    SIRABELLA P, GIULIANI A, COLOSIMO A, DIPPNER J W. Breaking down the climate effects on cod recruitment by principal component analysis and canonical correlation[J]. Mar Ecol Prog Ser, 2001(216): 213-222.
    [46]
    OTTERSEN G, STENSETH N C. Atlantic climate governs oceanographic and ecological variability in the Barents Sea[J]. Limnol Oceanogr, 2001, 46(7): 1774-1780. doi: 10.4319/lo.2001.46.7.1774
    [47]
    WU L X, LIU Z Y, LIU Y, et al. Potential global climatic impacts of the North Pacific Ocean[J]. Geophys Res Lett, 2005, 32(24): L24710.
    • Related Articles

  • Related Articles

    [1]CHEN Xiaohong, SHEN Xiaona, XU Yibin, XU Cuiya, ZHENG Huidong. Analysis of tetrodotoxin and microbial community structure in Nassarius semiplicatus[J]. South China Fisheries Science. DOI: 10.12131/20240235
    [2]TIAN Tian, ZHANG Jianming, ZHANG Dezhi, ZHU Xin, LI Yang. Effect of mosaic disease on skin mucosa microbial community structure of Chinese sturgeon (Acipenser sinensis)[J]. South China Fisheries Science, 2024, 20(5): 186-192. DOI: 10.12131/20240107
    [3]TIAN Tian, ZHANG Jianming, ZHU Xin, ZHANG Dezhi, SHU Tingting. Analysis of microbiammunl coity structure and potential pathogens in mucus, intestinal content of Acipenser dabryanus and culture water[J]. South China Fisheries Science, 2023, 19(6): 71-83. DOI: 10.12131/20230092
    [4]WANG Yao, LI Hongyu, QI Xiangming, MAO Xiangzhao, DONG Hao, GUO Xiaohua. Analysis of solid-state anaerobic fermentation process of mackerel processing by-products by high-throughput sequencing[J]. South China Fisheries Science, 2022, 18(4): 136-146. DOI: 10.12131/20210285
    [5]ZHANG Kai, LIN Yijing, LI Chenyang, LIU Fangling, SHEN Minghao, ZHENG Shanjian. Effects of different C/N ratios on formation of biofloc, water quality and microflora in aquaculture water of Chinemys reevesii[J]. South China Fisheries Science, 2022, 18(4): 87-94. DOI: 10.12131/20200144
    [6]TAO Feiyan, PAN Chuang, CHEN Shengjun, HU Xiao, DENG Jianchao, LI Chunsheng, RONG Hui, WANG Yueqi. Microbial analysis of Litopenaeus vannamei during partial freezing storage by Illumina high throughput sequencing[J]. South China Fisheries Science, 2021, 17(2): 104-113. DOI: 10.12131/20200211
    [7]SUN Yongxu, DONG Hongbiao, WANG Wenhao, CAO Ming, DUAN Yafei, LI Hua, LIU Qingsong, ZHANG Jiasong. Effects of periodic hypoxia stress on intestinal microflora structure of Lateolabrax maculatus[J]. South China Fisheries Science, 2019, 15(4): 46-52. DOI: 10.12131/20190021
    [8]XIN Yanjie, HU Xiaojuan, CAO Yucheng, XU Yu, XU Yunna, SU Haochang, XU Chuangwen, WEN Guoliang, LI Zhuojia. Effects of inoculant of photosynthetic bacteria and Rhodopseudomonas palustris on nitrogen and phosphorus nutrients and microbial community in experimental water[J]. South China Fisheries Science, 2019, 15(1): 31-41. DOI: 10.12131/20180144
    [9]LI Xuguang, QI Zhanhui, LIN Lin, ZHANG Zhe, HUANG Honghui. Preliminary study on archaeal community in sediment of Dapeng Cove using high-throughput sequencing[J]. South China Fisheries Science, 2015, 11(6): 1-8. DOI: 10.3969/j.issn.2095-0780.2015.06.001
    [10]YANG Bing, LIN Lin, LI Chunhou, XU Shannan, LIU Yong, XIAO Yayuan, CHEN Zuozhi. Development and evaluation of microsatellite markers in Parargyrops edita[J]. South China Fisheries Science, 2015, 11(4): 116-120. DOI: 10.3969/j.issn.2095-0780.2015.04.017

  • Cited by

    Periodical cited type(9)

    1. 史银魁，俞立雄，周雪，高雷，朱峰跃，杨锦毅，陈大庆，王珂，段辛斌. 禁渔初期长江宜昌-城陵矶江段鱼类资源时空分布特征. 水生生物学报. 2024(04): 546-558 .
    2. 张丽媛，熊清海，田敏，刘淑伟，王慧，曲品，蒋荣明，杨剑虹. 阳宗海鱼类群落结构及变化. 云南农业大学学报(自然科学). 2024(02): 60-69 .
    3. 史艳萍，屈婵娟，许旺，周春花，梁璐，王宇翔，任文伟，戴年华，徐晓娟，黎栩霞，计勇，吴小平，金斌松. 基于环境DNA宏条形码的青岚湖自然保护区鱼类组成及分布特征. 中国环境监测. 2024(03): 235-246 .
    4. 曹寿清，杨思雅，胡江春，杨慕静. 泸沽湖小口裂腹鱼人工驯养繁育试验. 水产养殖. 2024(07): 44-47 .
    5. 张航，梁智策，匡晨亿，周婷，廖传松，苑晶，郭传波，刘家寿. 基于水声学和渔获物调查的洱海鱼类资源时空分布特征. 水生生物学报. 2024(12): 2029-2041 .
    6. 贾春艳，王珂，李慧峰，高雷，杨浩，刘绍平，陈大庆，段辛斌. 禁渔初期东洞庭湖鱼类资源的空间分布与密度变化. 南方水产科学. 2022(03): 48-56 . 本站查看
    7. 王书献，张胜茂，戴阳，王永进，隋江华，朱文斌. 利用声呐数据提取磷虾捕捞深度方法研究. 南方水产科学. 2021(04): 91-97 . 本站查看
    8. 梁祥，薛绍伟，武智，王静，张建斌，赖宝衡，胡智光. 云龙水库鱼类资源声学评估. 西南农业学报. 2021(09): 2057-2062 .
    9. 徐川，胡正春. 核电厂冷源安全渔业资源声学调查. 电力安全技术. 2020(10): 55-59 .

    Other cited types(2)

Catalog

    Get Citation
    PDF
    XML
    Article views (163) PDF downloads (44) Cited by(11)
    Related

    Supported by: Beijing Renhe Information Technology Co., Ltd.  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return