基于线性混合效应模型的日本鳀幼鱼叉长-体重关系异质性

doi:10.13287/j.1001-9332.202112.032

应用生态学报 ›› 2021, Vol. 32 ›› Issue (12): 4532-4538.doi: 10.13287/j.1001-9332.202112.032

基于线性混合效应模型的日本鳀幼鱼叉长-体重关系异质性

朱文斌^1,2,3,4*, 朱海晨², 王雅丽², 张亚洲^1,2,3,4, 卢占晖^1,2,3,4, 崔国辰²

¹浙江省海洋水产研究所, 浙江舟山 316021;
²浙江海洋大学海洋与渔业研究所, 浙江舟山 316021;
³农业农村部重点渔场渔业资源科学观测实验站, 浙江舟山 316021;
⁴浙江省海洋渔业资源可持续利用技术研究重点实验室, 浙江舟山 316021

收稿日期:2021-02-04 修回日期:2021-09-08 出版日期:2021-12-15 发布日期:2022-06-15
通讯作者: *E-mail: foolse@126.com
作者简介:朱文斌, 男, 1982年生, 高级工程师。主要从事渔业资源研究。E-mail: foolse@126.com
基金资助:
国家重点研发计划项目(2019YFD0901505)、浙江省重点研发计划项目(2018C02026)和浙江省自然科学基金项目(LGN21C190005)资助

Heterogeneity of fork length-weight relationship for juvenile Engraulis japonius based on linear mixed-effects models

ZHU Wen-bin^1,2,3,4*, ZHU Hai-chen², WANG Ya-li², ZHANG Ya-zhou^1,2,3,4, LU Zhan-hui^1,2,3,4, CUI Guo-chen²

¹Zhejiang Marine Fisheries Research Institute, Zhoushan 316021, Zhejiang, China;
²Marine and Fishery Institute, Zhejiang Ocean University, Zhoushan 316021, Zhejiang, China;
³Scientific Observation and Experimental Station of Fishery Resources of Key Fishing Grounds, Ministry of Agriculture and Rural Affairs, Zhoushan 316021, Zhejiang, China;
⁴Zhejiang Province Key Laboratory of Sustainable Utilization of Technology Research for Fisheries Resources, Zhoushan 316021, Zhejiang, China

Received:2021-02-04 Revised:2021-09-08 Online:2021-12-15 Published:2022-06-15
Contact: *E-mail: foolse@126.com
Supported by:
National Key R&D Program of China (2019YFD0901505), the Key R&D Program of Zhejiang Province (2018C02026), and the Zhejiang Natural Science Foundation (LGN21C190005)

摘要/Abstract

摘要： 为了研究日本鳀幼鱼生长的异质性,本研究根据2019年4—6月在浙江沿岸海域进行专项特许捕捞中采集的日本鳀幼鱼样品,采用拟合广义线性模型和9个线性混合效应模型,分析日本鳀幼鱼叉长与体重关系的异质性。结果表明: 本次采样的日本鳀幼鱼叉长范围为14～74 mm,平均叉长为33 mm,优势叉长组为21～50 mm;体重范围为0.01～2.96 g,平均体重为0.28 g,优势体重组为0.01～0.50 g。根据赤池信息准则,具有月份和水域对生长参数a、b随机效应的线性混合效应模型的拟合效果最优;交叉验证结果也证明了其预测效果最优。在最优模型中,生长参数a的固定值为0.24×10^-5,其估计值波动不明显,b的固定值为3.246,估计值范围为3.206～3.272,表示日本鳀幼鱼为正异速生长。这说明月份和水域对日本鳀幼鱼叉长与体重关系具有显著影响。

关键词: 浙江沿岸, 日本鳀幼鱼, 叉长与体重关系, 线性混合效应模型

Abstract: In order to examine the growth heterogeneity of juvenile Engraulis japonicus, we conducted heterogeneity analysis of fork length-weight relationships of the species based on the samples of juvenile E. japonius from April to June 2019 collected from the coastal waters of Zhejiang Province by using the generalized linear model and 9 linear mixed-effect models. The results showed that the fork length of juvenile E. japonius was between 14-74 mm, with an average of 33 mm. The dominant fork length group was 21-50 mm. The weight range was 0.01-2.96 g, with an average of 0.28 g, and the dominant body weight group was 0.01-0.50 g. According to Akaike information criterion (AIC), the growth-fitting model with both months and regions random effects on the growth parameters a and b of juvenile E. japonius fitted best.The reliable prediction results was testified by the cross-validation. In the best model, the fixed value of growth parameter a was 0.24×10^-5 and its estimated value did not fluctuate significantly, while the fixed value of b was 3.246 and the estimated value ranged from 3.206 to 3.272, indicating that juvenile E. japonius was under positive allometric growth. Our results suggested that month and region significantly affected the fork length-weight relationships of juvenile E. japonius.

Key words: Zhejiang coast, juvenile Engraulis japonius, fork length-weight relationship, linear mixed-effects model

朱文斌, 朱海晨, 王雅丽, 张亚洲, 卢占晖, 崔国辰. 基于线性混合效应模型的日本鳀幼鱼叉长-体重关系异质性[J]. 应用生态学报, 2021, 32(12): 4532-4538.

ZHU Wen-bin, ZHU Hai-chen, WANG Ya-li, ZHANG Ya-zhou, LU Zhan-hui, CUI Guo-chen. Heterogeneity of fork length-weight relationship for juvenile Engraulis japonius based on linear mixed-effects models[J]. Chinese Journal of Applied Ecology, 2021, 32(12): 4532-4538.

参考文献

[1] 陈新军. 渔业资源与渔场学. 北京: 海洋出版社, 2014 [Chen X-J. Fishery Resources and Fishery Oceanography. Beijing: Ocean Press, 2014]
[2] Ma QY, Jiao Y, Ren YP. Linear mixed-effects models to describe length-weight relationships for yellow croaker (Larimichthys polyactis) along the north coast of China. PLoS One, 2017, 12(2): 1-17
[3] Iqbal TH, Damora A, Fikri IA, et al. Length-weight relationships of three reef fish species from Kei Islands, Southeast Maluku, Indonesia. IOP Conference Series: Earth and Environmental Science, 2018, 216: 1-5
[4] Thai H, Mentré F, Nicholas H, et al. A comparison of bootstrap approaches for estimating uncertainty of parame-ters in linear mixed-effects models. Pharmaceutical Statistics, 2013, 12: 129-140
[5] 衷思剑, 麻秋云, 刘淑德, 等. 基于线性混合效应模型的黄鮟鱇体长体重关系的时空差异. 中国水产科学, 2018, 25(6): 1299-1307 [Qiu S-J, Ma Q-Y, Liu S-D, et al. Linear mixed-effects models for estimating spatiotemporal variations of length-weight relationships for Lophius litulon. Journal of Fishery Sciences of China, 2018, 25(6): 1299-1307]
[6] 裴如德, 高春霞, 田思泉, 等. 浙江南部近海小黄鱼生长和性成熟特征的异质性. 应用生态学报, 2021, 32(1): 333-341 [Pei R-D, Gao C-J, Tian S-Q, et al. Heterogeneity of growth and maturity of Larimichthys polyactisin the offshore waters of southern Zhejiang, China. Chinese Journal of Applied Ecology, 2021, 32(1): 333-341]
[7] 韩霈武, 李楠, 方舟, 等. 基于线性混合模型的不同群体柔鱼胴长体重关系的异质性研究. 南方水产科学, 2020, 16(6): 12-20 [Han P-W, Li N, Fang Z, et al. Heterogeneity of mantle length-body mass relationship in different Ommastrephes bartramii populations based on linear mixed model. South China Fisheries Science, 2020, 16(6): 12-20]
[8] 薛利建, 刘子藩. 东海日本鳀数量分布和生物学特性的研究. 浙江海洋学院学报: 自然科学版, 2005, 24(4): 312-317 [Xue L-J, Liu Z-F. Study on the biomass distribution & biological characteristics of Engraulis japonicus in the East China Sea. Journal of Zhejiang Ocean University: Natural Science, 2005, 24(4): 312-317]
[9] 樊伟, 周甦芳, 崔雪森, 等. 拖网捕捞对东海渔业资源种群结构的影响. 应用生态学报, 2003, 14(10): 1697-1700 [Fan W, Zhou S-F, Cui X-S, et al. Impact of trawl fishing on fisheries population components in East China sea. Chinese Journal of Applied Ecology, 2003, 14(10): 1697-1700]
[10] 黄硕琳, 唐议. 渔业管理理论与中国实践的回顾与展望. 水产学报, 2019, 43(1): 211-231 [Huang S-L, Tang Y. Review and prospect of theories of fisheries management and China’s practice. Journal of Fisheries of China, 2019, 43(1): 211-231]
[11] 俞存根, 郑斌. 浙江近海鳀鱼资源利用现状及其对策. 海洋渔业, 2000, 22(1): 24-26 [Yu C-G, Zheng B. Current situation and countermeasures of Engraulis japonicus resources utilization in Zhejiang coastal waters. Marine Fisheries, 2000, 22(1): 24-26]
[12] 牛明香, 李显森, 赵庚星. 黄海中南部越冬鳀鱼空间分布及其与水温年际变化的关系. 应用生态学报, 2012, 23(2): 552-558 [Niu M-X, Li X-S, Zhao G-X. Spatial distribution of wintering Engraulis japonicus and its relationship with the inter-annual variations of water temperature in central and southern Yellow Sea. Chinese Journal of Applied Ecology, 2012, 23(2): 552-558]
[13] 赵宪勇. 黄海鳀鱼种群动力学特征及其资源可持续利用. 博士论文. 青岛: 中国海洋大学, 2006 [Zhao X-Y. Population Dynamic Characteristics and Sustaina-ble Utilization of the Anchovy Stock in the Yellow Sea. PhD Thesis. Qingdao: Ocean University of China, 2006]
[14] 左涛, 时永强, 彭亮, 等. 黄海南部不同体长鳀对食物粒级的选择. 中国水产科学, 2017, 24(4): 824-830 [Zuo T, Shi Y-Q, Peng L, et al. Prey size selectivity in relation to the body size of Japanese anchovy (Engraulis japonicus) in the southern part of the Yellow Sea. Journal of Fishery Sciences of China, 2017, 24(4): 824-830]
[15] 胡东方. 黄海鳀鱼的摄食生态学研究. 硕士论文. 青岛: 中国海洋大学, 2009 [Hu D-F. Studies on Feeding Ecology of Anchovy in Yellow Sea. Master Thesis. Qingdao: Ocean University of China, 2009]
[16] 李显森, 赵宪勇, 李凡, 等. 山东半岛南部产卵场鳀鱼生殖群体结构及其变化. 海洋水产研究, 2006, 27(1): 46-53 [Li X-S, Zhao X-Y, Li F, et al. Structure and its variation of the anchovy (Engraulis japonicus) spawning stock in the southern waters to Shandong Peninsula. Marine Fisheries Research, 2006, 27(1): 46-53]
[17] 李秀梅, 叶振江, 李增光, 等. 黄海中部近岸产卵场日本鳀卵子大小的时空变化. 中国海洋大学学报, 2016, 46(2): 54-60 [Li X-M, Ye Z-J, Li Z-G, et al. Spatial and temporal changes of the egg size of Japanese anchovy (Engraulis japonicus) inhabiting the near shore spawning ground of central Yellow sea. Periodical of Ocean University of China, 2016, 46(2): 54-60]
[18] 万瑞景, 魏皓, 孙珊, 等. 山东半岛南部产卵场鳀鱼的产卵生态Ⅰ.鳀鱼鱼卵和仔稚幼鱼的数量与分布特征. 动物学报, 2008, 54(5): 785-797 [Wan R-J, Wei H, Sun S, et al. Spawning ecology of the anchovy Engraulis japonicus in the spawning ground of the sou-thern shandong peninsula. I. Abundance and distribution characters of anchovy eggs and larvae. Acta Zoologica Sinica, 2008, 54(5): 785-797]
[19] 全国水产标准化技术委员会渔业资源分技术委员会. 海洋渔业资源调查规范(SC/T 9403—2012). 北京: 中国农业出版社, 2013 [Subcommittee on Fisheries Resource of National Technical Committee of Aquaculture of Standardization Administration of China. Technical Specification for Marine Fishery Resources Survey(SC/T 9403-2012). Beijing: China Agriculture Press, 2013]
[20] Keys AB. The weight-length relation in fishes. Procee-dings of the National Academy of Sciences of the United States of America, 1928, 14: 922-925
[21] Akaike H. A new look at the statistical model identification. Automatic Control, 1974, 19: 716-723
[22] Luke SK. Evaluating significance in linear mixed-effects models in R. Behavior Research Methods, 2017, 49: 1494-1502
[23] Lteif M, Mouawad R, Khalaf G, et al. Population biology of an endangered species: The common guitarfish Rhinobatos rhinobatos in Lebanese marine waters of the eas-tern Mediterranean Sea. Journal of Fish Biology, 2016, 88: 1441-1459
[24] Jinwoo G, Yoon HS. Importance of considering year-to-year variability in length-weight relationship in a size-based fish stock assessment. Korean Journal of Fisheries and Aquatic Sciences, 2019, 52: 719-724
[25] 朱立新, 侯刚, 梁振林. 基于贝叶斯方法的黄海北部鳀鱼体长与体重关系式参数估计. 中国水产科学, 2015, 22(4): 757-769 [Zhu L-X, Hou G, Liang Z-L. Parameter estimation of the weight-length relationship of Japanese anchovy in the north Yellow Sea using Baye-sian method. Journal of Fishery Sciences of China, 2015, 22(4): 757-769]
[26] 朱建成, 赵宪勇, 李富国. 黄海鳀鱼的生长特征及其年际与季节变化. 海洋水产研究, 2007, 28(3): 64-72 [Zhu J-C, Zhao X-Y, Li F-G. Growth characters of the anchovy stock in the Yellow Sea with its annual and seasonal variations. Marine Fisheries Research, 2007, 28(3): 64-72]
[27] 王杨楠, 韩东燕, 麻秋云, 等. 基于线性混合效应模型的镰鲳叉长-体重关系的异质性分析. 上海海洋大学学报, 2021, 30(1): 135-143 [Wang Y-N, Han D-Y, Ma Q-Y, et al. Linear mixed-effect models for hete-rogeneity analysis of fork length-mass relationships for Pampus echinogaster. Journal of Shanghai Ocean University, 2021, 30(1): 135-143]
[28] Park JM, Huh SH. Length-weight relations for 29 demer-sal fishes caught by small otter trawl on the south-eas-tern coast of Korea. Acta Ichthyologica et Piscatoria, 2015, 45: 427-431
[29] Kang D, Cho S, Lee C, et al. Ex situ target-strength measurements of Japanese anchovy (Engraulis japonicus) in the coastal Northwest Pacific. ICES Journal of Marine Science, 2009, 66: 1219-1224
[30] Xue Y, Ren Y, Xu B, et al. Length-weight relationships of fish species caught by bottom trawl in Jiaozhou Bay, China. Journal of Applied Ichthyology, 2011, 27: 949-954
[31] 孟田湘. 山东半岛南部产卵场鳀鱼幼体日龄组成与生长. 海洋水产研究, 2004, 25(2): 1-5 [Meng T-X. Daily age composition and growth rate of Japanese anchovy (Engraulis japonicus) larvae in the southern waters of Shandong Peninsula. Progress in Fishery Sciences, 2004, 25(2): 1-5]
[32] Liu CL, Xian WW, Liu SD, et al. Variations in early life history traits of Japanese anchovy Engraulis japonicus in the Yangtze River Estuary. PeerJ, 2018, 6: 1-14
[33] 万瑞景, 黄大吉, 张经. 东海北部和黄海南部鳀鱼卵和仔稚幼鱼数量、分布及其与环境条件的关系. 水产学报, 2002, 26(4): 321-330 [Wan R-J, Huang D-J, Zhang J. Abundance and distribution of eggs and larvae of Engraulis japonicus in the northern part of east China sea and the southern part of Yellow sea and its relationship with environmental conditions. Journal of Fisheries of China, 2002, 26(4): 321-330]
[34] Cnaan A, Laird NM, Peter S. Using the general linear mixed model to analyse unbalanced repeated measures and longitudinal data. Statistics in Medicine, 1997, 16: 2349-2380
[35] 许昊, 孙玉军, 王新杰, 等. 利用线性混合效应模型模拟杉木人工林枝条生物量. 应用生态学报, 2015, 26(10): 2969-2977 [Xu H, Sun Y-J, Wang X-J, et al. Simulation of the branch biomass for Chinese fir plantation using the linear mixed effects model. Chinese Journal of Applied Ecology, 2015, 26(10): 2969-2977]
[36] 栾静, 徐宾铎, 薛莹, 等. 海州湾方氏云鳚体长与体重分布特征及其关系. 中国水产科学, 2017, 24(6): 1323-1331 [Luan J, Xu B-D, Xue Y, et al. Size distribution and length-weight relationships in Pholis fangi in Haizhou Bay. Journal of Fishery Sciences of China, 2007, 24(6): 1323-1331]
[37] 王淼, 周轩, 洪波, 等. 杭州湾北部安氏白虾体长与体重关系的季节变化特征. 中国水产科学, 2020, 27(11): 1325-1332 [Wang M, Zhou X, Hong B, et al. Impact of seasonal changes on Palaemon annandalei length-weight relationships in northern Hangzhou Bay. Journal of Fishery Sciences of China, 2020, 27(11): 1325-1332]
[38] Saygin S, Özpicak M, Aydin A, et al. Length-weight and length-length relationships of the European bitterling, Rhodeus amarus (Bloch, 1782) inhabiting inland waters of Samsun Province. Balikesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2018, 20: 201-210
[39] Nahdi AA, Leaniz CG, King AJ. Spatio-temporal variation in length-weight relationships and condition of the ribbonfish Trichiurus lepturus (Linnaeus, 1758): Implications for fisheries management. PLoS One, 2017, 11(8): 1-14

基于线性混合效应模型的日本鳀幼鱼叉长-体重关系异质性

Heterogeneity of fork length-weight relationship for juvenile Engraulis japonius based on linear mixed-effects models

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 4

编辑推荐

Metrics

本文评价

[1]	王雅丽, 朱海晨, 栗小东, 徐开达, 周永东, 蒋日进, 李振华. 浙江沿岸春秋季小黄鱼生长异质性 [J]. 应用生态学报, 2022, 33(8): 2244-2250.
[2]	闫明, 刘青青, 刘志萍, 奚为民. 干旱和林分因子对树木死亡的影响——以美国德克萨斯州东部国家森林为例 [J]. 应用生态学报, 2022, 33(11): 2897-2906.
[3]	裴如德, 高春霞, 田思泉, 麻秋云, 范青松. 浙江南部近海小黄鱼生长和性成熟特征的异质性 [J]. 应用生态学报, 2021, 32(1): 333-341.
[4]	黄小荣, 庞世龙, 申文辉, 侯远瑞, 何峰. 广西喀斯特地区假臭草入侵群落的草本植物多样性及其影响因素 [J]. 应用生态学报, 2016, 27(3): 815-821.