昼夜垂直移动对黄海中南部小黄鱼可捕系数的影响

关丽莎; 单秀娟; 金显仕; 陈云龙; 杨涛; 吴强

doi:10.3969/j.issn.0253-4193.2018.02.005

昼夜垂直移动对黄海中南部小黄鱼可捕系数的影响

doi: 10.3969/j.issn.0253-4193.2018.02.005

1.
中国水产科学研究院黄海水产研究所农业部海洋渔业资源可持续利用重点开放实验室山东省渔业资源与生态环境重点实验室, 山东青岛 266071
2.
中国水产科学研究院黄海水产研究所农业部海洋渔业资源可持续利用重点开放实验室山东省渔业资源与生态环境重点实验室, 山东青岛 266071;青岛海洋科学与技术国家实验室海洋渔业科学与食物产出过程功能实验室, 山东青岛 266237

基金项目: 国家重点基础研究发展规划课题（2015CB453303）；青岛海洋科学与技术国家实验室"鳌山人才"培养计划项目（2017ASTCP-ES07）；青岛海洋科学与技术国家实验室海洋渔业科学与食物产出过程功能实验室开放课题（2016LMFS-B13）；山东省泰山学者专项基金。

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出版历程
- 收稿日期: 2017-07-21

The effects of diel vertical movements on the catchability of small yellow croaker in the middle and south Yellow Sea

1.
Key Laboratory of Sustainable Development of Marine Fisheries/Ministry of Agriculture, Shandong Provincial Key Laboratory of Fishery Resources and Ecological Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
2.
Key Laboratory of Sustainable Development of Marine Fisheries/Ministry of Agriculture, Shandong Provincial Key Laboratory of Fishery Resources and Ecological Environment, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China;Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China

摘要

摘要: 鱼类的昼夜垂直移动是影响渔业资源调查可捕系数的重要因素之一，对调查获得的各种渔获物资源量指数（abundance index，AI）进行校正，对优化估计物种的空间分布和资源量估算有重要作用。本文以黄海中南部小黄鱼为例，利用2006-2009年和2011年黄海秋季底拖网渔业资源调查数据，应用地理统计二阶广义线性混合模型，量化了昼夜时段对黄海中南部小黄鱼AI的影响。不同昼夜时段对AI的随机效应系数表明，在黄海中南部秋季渔业资源调查中，底拖网对小黄鱼的可捕系数存在明显的昼夜变化：在午夜23点到凌晨3点间，可捕系数最低；凌晨3点后，可捕系数逐渐增大，直至9点达到峰值；在中午10点至下午16点，可捕系数小幅度降低后保持相对稳定，随后急剧下降；傍晚19点以后，可捕系数处于相对较低水平，直至午夜23点后降至最低水平。本研究通过地理统计二阶广义线性混合模型，去除了昼夜垂直移动对小黄鱼可捕系数的影响，预测的小黄鱼空间密度分布与其AI实际观测值以及渔场空间格局基本一致。另外，模型估计的2006-2009年和2011年秋季黄海中南部小黄鱼的总资源量指数相对扫海面积法的估计值精确度更高，且其变动趋势与黄海中南部沿岸两省（山东和江苏）小黄鱼次年总渔获量的变动情况一致。
- 昼夜垂直移动 /
- 小黄鱼 /
- 地理统计二阶广义线性混合模型 /
- 时空分布 /
- 资源量指数
Abstract: Many fish show diel vertical movements (DVM), which is a key factor affecting the catchability of most fisheries-dependent or fisheries-independent surveys. Calibrations of abundance indices (AI) from these surveys to maintain a consistent catchability is important for improving estimates of species distribution and abundance. However, such calibrations rarely account for DVM. Here, a geostatistical delta-generalized linear mixed model (GLMM) was fitted to the fall bottom trawl survey data for small yellow croaker in the Yellow Sea during the period of 2006-2011 as a case study. The model quantified the effects of diel periods on AI, which demonstrates the time-variant effects of diel vertical movements on the catchability of the bottom trawl surveys for small yellow croaker. The surveys have lowest catchability for small yellow croaker at midnight. With the coming of daytime, the catchability appears to increase until reaching the peak values at 9:00 am. Subsequently, there is a decreasing trend in catchability till 7:00 pm. The catchability then maintains at low levels before midnight. This study eliminated the effects of diel periods on AI and predicted the spatial distributions of small yellow croaker in the middle and south Yellow Sea during the falls of 2006-2011. The predicted distributions match with spatial distributions of AI data and fishing grounds for small yellow croaker. Moreover, this study yields more precise estimates of total abundance indices for small yellow croaker in the falls of 2006-2009, which follows the temporal trend in the catch data of this species from two provinces (i.e. Shandong and Jiangsu) along the middle and south Yellow Sea in the subsequent years.
- diel vertical movement /
- small yellow croaker /
- geostatistical delta-generalized linear mixed model /
- spatio-temporal distribution /
- abundance index

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参考文献(33)

Quinn T P, Sergeant C J, Beaudreau A H, et al. Spatial and temporal patterns of vertical distribution for three planktivorous fishes in Lake Washington[J]. Ecology of Freshwater Fish, 2012, 21(3):337-348.

Pearson R G, Dawson T P. Predicting the impacts of climate change on the distribution of species:are bioclimate envelope models useful?[J]. Global Ecology and Biogeography, 2003, 12(5):361-371.

Jensen O P, Seppelt R, Miller T J, et al. Winter distribution of blue crab Callinectes sapidus in Chesapeake Bay:Application and cross-validation of a two-stage generalized additive model[J]. Marine Ecology Progress Series, 2005, 299:239-255.

Windle M J, Rose G A, Devillers R, et al. Exploring spatial non-stationarity of fisheries survey data using geographically weighted regression (GWR):an example from the Northwest Atlantic[J]. ICES Journal of Marine Science, 2010, 67(1):145-154.

Shelton A O, Thorson J T, Ward E J, et al. Spatial semiparametric models improve estimates of species abundance and distribution[J]. Canadian Journal of Fisheries and Aquatic Sciences, 2014, 71(11):1655-1666.

Li Z G, Wan R, Ye Z J, et al. Use of random forests and support vector machines to improve annual egg production estimation[J]. Fisheries Science, 2017, 83(1):1-11.

Francis M P, Williams M W. Diel variation in trawl catch rates of Pagrus auratus (Sparidae)[J]. Fisheries Research, 1995, 24(4):301-310.

严利平, 林龙山, 张寒野, 等. 南黄海族小黄鱼昼夜渔获率差异的统计学分析[J]. 海洋渔业, 2008, 30(2):114-119. Yan Liping, Lin Longshan, Zhang Hanye, et al.Statistic analysis on circadian difference of catch rate of small yellow croaker of the southern Yellow Sea school[J]. Marine Fisheries, 2008, 30(2):114-119.

严利平, 张寒野, 程家骅, 等. 东海区带鱼底拖网昼夜渔获率差异的统计分析[J]. 海洋渔业, 2008, 30(4):333-339. Yan Liping, Zhang Hanye, Cheng Jiahua, et al. Statistic analysis on circadian difference of catch rate of hairtail in the East China Sea[J]. Marine Fisheries, 2008, 30(4):333-339.

朱元鼎. 中国石首鱼类分类系统的研究和新属新种的叙述[M]. 上海:上海科学技术出版社, 1963. Zhu Yuanding. Study on the Classification of Sciaenid Fishes in China and Description of New Genus and Species[M]. Shanghai:Shanghai Scientific & Technical Publishers, 1963.

薛莹, 金显仕, 张波, 等. 黄海中部小黄鱼摄食习性的体长变化与昼夜变化[J]. 中国水产科学, 2004, 11(5):420-425. Xue Ying, Jin Xianshi, Zhang Bo, et al. Ontogenetic and diel variation in feeding habits of small yellow croaker Pseudosciaena polyactis Bleeker in the central part of Yellow Sea[J]. Journal of Fisheries Science of China, 2004, 11(5):420-425.

Thorson J T, Shelton A O, Ward E J, et al. Geostatistical delta-generalized linear mixed models improve precision for estimated abundance indices for West Coast groundfishes[J]. ICES Journal of Marine Science, 2015, 72(5):1297-1310.

Schnute J T, Boers N, Haigh R. PBSmapping:Mapping Fisheries Data and Spatial Analysis Tools[CP]. 2015. https://cran.r-project.org/package=PBSmapping.

Development Core Team. R:A language and environment for statistical computing[CP]. R Foundation for Statistical Computing, Vienna, Austria, 2011. https://www.R-project.org/.

Hartigan J A, Wong M A. Algorithm AS 136:A K-means clustering algorithm[J]. Journal of the Royal Statistical Society. Series C, 1979, 28(1):100-108.

Martino S, Rue H. Implementing approximate bayesian inference using integrated nested laplace approximation:a manual for the inla program[CP]. 2010. http://www.math.ntnu.no/~hrue/GMRFsim/manual.pdf.

Hijmans R J. Geosphere:Spherical Trigonometry[CP]. 2016. https://cran.r-project.org/package=geosphere.

Kristensen K, Nielsen A, Berg C W, et al. TMB:automatic differentiation and Laplace approximation[J]. Journal of Statistical Software, 2016, 70(5):1-21.

金显仕, 程济生, 秋盛荛, 等. 黄渤海渔业资源综合研究与评价[M]. 北京:海洋出版社, 2006. Jin Xianshi, Cheng Jisheng, Qiu Shengrao, et al. Synthetic Research and Assessment on the Fisheries Resources in the Yellow Sea and the Bohai Sea[M]. Beijing:Marine Publishers, 2006.

农业部渔业渔政管理局. 2007年中国渔业统计年鉴[M]. 北京:中国农业出版社, 2007. Fishery and Fishery Administration Bureau of the Ministry of Agriculture. The 2007 Fisheries Statistics Yearbook of China[M]. Beijing:China Agriculture Press, 2007.

农业部渔业渔政管理局. 2008年中国渔业统计年鉴[M]. 北京:中国农业出版社, 2008. Fishery and Fishery Administration Bureau of the Ministry of Agriculture. The 2008 Fisheries Statistics Yearbook of China[M]. Beijing:China Agriculture Press, 2008.

农业部渔业渔政管理局. 2009年中国渔业统计年鉴[M]. 北京:中国农业出版社, 2009. Fishery and Fishery Administration Bureau of the Ministry of Agriculture. The 2009 Fisheries Statistics Yearbook of China[M]. Beijing:China Agriculture Press, 2009.

农业部渔业渔政管理局. 2010年中国渔业统计年鉴[M]. 北京:中国农业出版社, 2010. Fishery and Fishery Administration Bureau of the Ministry of Agriculture. The 2010 Fisheries Statistics Yearbook of China[M]. Beijing:China Agriculture Press, 2010.

农业部渔业渔政管理局. 2012年中国渔业统计年鉴[M]. 北京:中国农业出版社, 2012. Fishery and Fishery Administration Bureau of the Ministry of Agriculture. The 2012 Fisheries Statistics Yearbook of China[M]. Beijing:China Agriculture Press, 2012.

Xue Y, Jin X, Zhang B, et al. Seasonal, diel and ontogenetic variation in feeding patterns of small yellow croaker in the central Yellow Sea[J]. Journal of Fish Biology, 2005, 67(1):33-50.

逄志伟, 李显森, 应一平, 等. 黄海夏季虾类群落结构及其与环境因子的关系[J]. 应用生态学报, 2015, 26(11):3509-3515. Pang Zhiwei, Li Xiansen, Ying Yiping, et al. Shrimp community structure and its relationships with environmental factors in the Yellow Sea in summer[J]. Chinese Journal of Applied Ecology, 2015, 26(11):3509-3515.

王克, 王荣, 高尚武. 东海浮游动物昼夜垂直移动的初步研究[J]. 海洋与湖沼, 2001, 32(5):534-540. Wang Ke, Wang Rong, Gao Shangwu. Preliminary study on the diurnal vertical movement of zooplankton in the East China Sea[J]. Oceanologia et Limnologia Sinica, 2001, 32(5):534-540.

马绍赛. 黄、东海越冬鳀鱼的分布与水文条件的关系[J]. 水产学报, 1989, 13(3):201-206. Ma Shaosai. Relationship between distribution and hydrological condition of the wintering anchovy in Yellow Sea and East China Sea[J]. Journal of Fisheries of China, 1989, 13(3):201-206.

张学健, 程家骅, 沈伟, 等. 黄海南部黄鮟鱇摄食生态[J]. 生态学报, 2010, 30(12):3117-3125. Zhang Xuejian, Cheng Jiahua, Shen Wei, et al. Feeding ecology of Lophius litulon in the south of Yellow Sea[J]. Acta Ecologica Sincia, 2010, 30(12):3117-3125.

陈佳杰, 徐兆礼, 陈雪忠. 我国沿海小黄鱼渔场的空间格局[J]. 水产学报, 2010, 34(2):236-244. Chen Jiajie, Xu Zhaoli, Chen Xuezhong. The spatial distribution pattern of fishing ground for small yellow croaker in China seas[J]. Journal of Fisheries of China, 2010, 34(2):236-244.

Xu Binduo, Ren Yiping, Chen Yong, et al. Optimization of stratification scheme for a fishery-independent survey with multiple objectives[J]. Acta Oceanologica Sinica, 2015, 34(2):154-169.

Cao J, Chen Y, Chang J H, et al. An evaluation of an inshore bottom trawl survey design for American lobster (Homarus americanus) using computer simulations[J]. Journal of Northwest Atlantic Fishery Science, 2014, 46:27-39.

金显仕. 黄海小黄鱼(Pseudosciaena polyactis)生态和种群动态的研究[J]. 中国水产科学, 1996, 3(1):32-46. Jin Xianshi. Ecology and population dynamics of small yellow croaker (Pseudosciaena polyactis) in the Yellow Sea[J]. Journal of Fisheries Science of China, 1996, 3(1):32-46.

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