春、夏季浙江南部近海日本鲭资源分布特征及其环境影响因子

doi:10.16378/j.cnki.1003-1111.21140

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Abstract To understanding of the impact of marine environmental factors on the resource distribution of Pacific chub mackerel Scomber japonicas, relationship between the distribution of Pacific chub mackerel and environmental factors was constructed by using the two-stage GAM, based on the survey data and remote sensing data in the coastal waters of southern Zhejiang province in May and August 2016, 2019 and 2020. The results showed that the resources density of Pacific chub mackerel was varied greatly each year, with obvious seasonal distribution rules. The density of Pacific chub mackerel resources inshore waters was found to be higher in spring than that in offshore waters, with the opposite case in summer. Seawater temperature and salinity were found to be the significant environmental factors affecting the distribution of Pacific chub mackerel. There was a linear positive correlation between the resource density and seawater temperature, and a non-linear negative correlation between the resource density and salinity in spring. In summer, however, the resource density firstly was increased and then decreased with the warming seawater temperature, with the maximal resource density at seawater temperature of 29.3 ℃. The finding shows that environmental factors play an important role in the occurrence probability and resource density of Pacific chub mackerel in the coastal waters of southern Zhejiang in spring and summer.

Key words： Scomber japonicus two-stage generalized additive model spatial and temporal distribution environmental factor offshore waters of southern Zhejiang

Received: 27 July 2021

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	Articles by authors
	YE Shen
	MA Wen
	CHEN Weifeng
	LIU Weicheng

Cite this article:

YE Shen,MA Wen,CHEN Weifeng, et al. Distribution and Influencing Factors of Pacific Chub Mackerel Scomber japonicus Resources in Southern Offshore Waters of Zhejiang Province in Spring and Summer[J]. Fisheries Science, 2023, 42(3): 395-403.

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https://www.shchkx.com/EN/10.16378/j.cnki.1003-1111.21140 OR https://www.shchkx.com/EN/Y2023/V42/I3/395

[1]李建生,严利平,胡芬,等.温台渔场日本鲭的繁殖生物学特征[J].中国水产科学,2015,22(1):99-105.
[2]张秋华,程家骅,徐汉祥,等.东海区渔业资源及其可持续利用[M].上海:复旦大学出版社,2007.
[3]程家骅,林龙山.东海区鲐鱼生物学特征及其渔业现状的分析研究[J].海洋渔业,2004,26(2):73-78.
[4]朱文斌,朱海晨,张亚洲,等.浙江沿岸日本鳀幼鱼数量分布及其与环境因子的关系[J].中国水产科学,2021,28(9):1175-1183.
[5]李显森,逄志伟,朱建成,等.中东大西洋中部海域鲐鱼渔场的时空变化初步研究[J].水产科学,2018,37(1):31-37.
[6]徐海龙,刘卓莹,王芮,等.基于两种模型的渤海湾口虾蛄资源与环境关系研究[J].水产科学,2022,41(2):183-191.
[7]HUA C X, ZHU Q C, SHI Y C, et al. Comparative analysis of CPUE standardization of Chinese Pacific saury (Cololabis saira) fishery based on GLM and GAM[J].Acta Oceanologica Sinica,2019,38(10):100-110.
[8]马金,黄金玲,陈锦辉,等.基于GAM的长江口鱼类资源时空分布及影响因素[J].水产学报,2020,44(6):936-946.
[9]戴黎斌,田思泉,彭欣,等.浙江南部近海小黄鱼资源分布及其与环境因子的关系[J].应用生态学报,2018,29(4):1352-1358.
[10]BARRY S C, WELSH A H. Generalized additive modelling and zero inflated count data[J].Ecological Modelling,2002,157(2/3):179-188.
[11]MA J, LI B, ZHAO J, et al. Environmental influences on the spatio-temporal distribution of Coilia nasus in the Yangtze River Estuary[J].Journal of Applied Ichthyology,2020,36(3):315-325.
[12]LI B, CAO J, CHANG J H, et al. Evaluation of effectiveness of fixed-station sampling for monitoring American lobster settlement[J].North American Journal of Fisheries Management,2015,35(5):942-957.
[13]LIU X X, GAO C X, ZHAO J, et al. Modeling and comparison of count data containing zero values:a case study of Setipinna taty in the south inshore of Zhejiang, China[J].Environmental Science and Pollution Research,2021,28(34):46827-46837.
[14]尹洁,王晶,张崇良,等.利用two-stage GAM研究海州湾及其邻近海域小黄鱼鱼卵的时空分布特征[J].中国水产科学,2019,26(6):1164-1174.
[15]陈新军.渔业资源与渔场学[M].2版.北京:海洋出版社,2014:152-161.
[16]王云峰,朱鑫华.盐度对鱼类生态生理学特征的影响[J].海洋科学集刊,2002(1):151-158.
[17]国家质量监督检验检疫总局,中国国家标准化管理委员会.GB/T 12763.6—2007,海洋调查规范第6部分:海洋生物调查[S].北京:中国标准出版社,2008.
[18]国家质量监督检验检疫总局,中国国家标准化管理委员会.GB 17378.3—2007,海洋监测规范第3部分:样品采集、贮存与运输[S].北京:中国标准出版社,2008.
[19]MAUNDER M N, PUNT A E. Standardizing catch and effort data:a review of recent approaches[J].Fisheries Research,2004,70(2/3):141-159.
[20]农牧渔业部水产局,农牧渔业部东海区渔业指挥部.东海区渔业资源调查和区划[M].上海:华东师范大学出版社,1987:392-401.
[21]易炜,郭爱,陈新军.不同环境因子权重对东海鲐鱼栖息地模型的影响研究[J].海洋学报,2017,39(12):90-97.
[22]张迎秋.长江口近海鱼类群落环境影响分析[D].青岛:中国科学院研究生院(海洋研究所),2012:4-8.
[23]BUI D T, LOFMAN O, REVHAUG I, et al. Landslide susceptibility analysis in the Hoa Binh Province of Vietnam using statistical index and logistic regression[J].Natural Hazards,2011,59(3):1413-1444.
[24]PLANQUE B, BELLIER E, LAZURE P. Modelling potential spawning habitat of sardine (Sardina pilchardus) and anchovy (Engraulis encrasicolus) in the Bay of Biscay[J].Fisheries Oceanography,2007,16(1):16-30.
[25]王玉衡,蒋国昌,董恒霖.春季浙江南部海区溶解氧、pH值和营养盐分布特征及相互关系研究[J].海洋学报,1990,12(5):654-660.
[26]李纲,陈新军,田思泉.我国东、黄海鲐鱼灯光围网渔业CPUE标准化研究[J].水产学报,2009,33(6):1050-1059.
[27]官文江,陈新军,李纲.海表水温和拉尼娜事件对东海鲐鱼资源时空变动的影响[J].上海海洋大学学报,2011,20(1):102-107.
[28]武胜男,陈新军,刘祝楠.基于GAM的西北太平洋日本鲭资源丰度预测模型建立[J].海洋学报,2019,41(8):36-42.
[29]李曰嵩,邢宇娜,潘灵芝,等.鲐鱼生活史及模型应用研究进展[J].大连海洋大学学报,2021,36(4):694-705.
[30]王从军,邹莉瑾,李纲,等.1999—2011年东、黄海鲐资源丰度年间变化分析[J].水产学报,2014,38(1):56-64.
[31]李建生,严利平,胡芬.基于鱼卵仔鱼数据的东海中南部日本鲭产卵场分析[J].海洋渔业,2020,42(1):10-19.
[32]李纲,郑晓琼,朱国平,等.基于水温因子的东、黄海鲐鱼剩余产量模型建立[J].上海海洋大学学报,2011,20(1):108-113.
[33]李曰嵩,白松麟,潘灵芝,等.基于个体模型水温变动对东海鲐鱼补充量影响模拟研究[J].海洋湖沼通报,2018(6):118-124.
[34]朱国平,李纲,郑晓琼,等.东海鲐鱼资源时空分布特征[J].生态科学,2011,30(1):1-7.
[35]李曰嵩,潘灵芝,官文江,等.基于个体的东海鲐鱼补充量年际变动模拟研究[J].海洋学报,2018,40(1):87-95.
[36]崔科, 陈新军. 东黄海鲐鱼资源丰度与表温关系[J]. 南方水产,2007(4):20-25.
[37]HIYAMA Y, YODA M, OHSHIMO S. Stock size fluctuations in chub mackerel (Scomber japonicus) in the East China Sea and the Japan/East Sea[J].Fisheries Oceanography,2002,11(6):347-353.
[38]柳晓雪,高春霞,田思泉,等.基于栖息地适宜指数的浙江南部近海黄鲫最适栖息地分布[J].中国水产科学,2020,27(12):1485-1495.
[39]李建生,林龙山,程家骅.东海北部秋季小黄鱼分布特征及其与底层温度和盐度的关系[J].中国水产科学,2009,16(3):348-356.
[40]郑波,陈新军,李纲.GLM和GAM模型研究东黄海鲐资源渔场与环境因子的关系[J].水产学报,2008,32(3):379-386.
[41]HAMLEY J M. Review of gillnet selectivity[J].Journal of the Fisheries Research Board of Canada,1975,32(11):1943-1969.
[42]李建生,严利平,胡芬.东海日本鲭繁殖群体生物学特征的年代际变化[J].中国水产科学,2015,22(6):1253-1259.
[43]YALÇIN E, GURBET R. Environmental influences on the spatio-temporal distribution of European hake (Merluccius merluccius) in Izmir Bay, Aegean Sea[J].Turkish Journal of Fisheries and Aquatic Sciences,2016,16:1-14.
[44]郑波.鲐鱼年龄和生长及其资源丰度与环境因子关系的研究[D].上海:上海水产大学,2007:6-7.