浙江沿岸春秋季小黄鱼生长异质性

doi:10.13287/j.1001-9332.202209.028

应用生态学报 ›› 2022, Vol. 33 ›› Issue (8): 2244-2250.doi: 10.13287/j.1001-9332.202209.028

浙江沿岸春秋季小黄鱼生长异质性

王雅丽^1,2,3, 朱海晨^1,2,3, 栗小东², 徐开达^1,3*, 周永东^1,3, 蒋日进^1,3, 李振华^1,3

¹浙江海洋大学海洋与渔业研究所, 浙江舟山 316021;
²浙江海洋大学水产学院, 浙江舟山 316022;
³浙江省海洋水产研究所, 农业农村部重点渔场渔业资源科学观测实验站, 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:2021-07-12 接受日期:2022-03-11 出版日期:2022-08-15 发布日期:2023-02-15
通讯作者: * E-mail: xkd1981@163.com
作者简介:王雅丽, 女, 1996年生, 硕士研究生。主要从事渔业资源研究。E-mail: 914101537@qq.com
基金资助:
国家重点研发计划项目(2018YFD0900904,2019YFD0901204)和浙江省重点研发计划项目(2019C02056)资助。

Growth heterogeneity of Larimichthys polyactis in spring and autumn along the coast of Zhejiang, China

WANG Ya-li^1,2,3, ZHU Hai-chen^1,2,3, LI Xiao-dong², XU Kai-da^1,3*, ZHOU Yong-dong^1,3, JIANG Ri-jin^1,3, LI Zhen-hua^1,3

¹Marine and Fishery Institute of Zhejiang Ocean University, Zhoushan 316021, Zhejiang, China;
²College of Fisheries, Zhejiang Ocean University, Zhoushan 316022, Zhejiang, China;
³Zhejiang Marine Fisheries Research Institute, Ministry of Agriculture and Rural Affairs Scientific Observation and Experimental Station of Fishery Resources of Key Fishing Grounds, Zhejiang Province Key Laboratory of Sustainable Utilization of Technology Research for Fisheries Resources, Zhoushan 316021, Zhejiang, China

Received:2021-07-12 Accepted:2022-03-11 Online:2022-08-15 Published:2023-02-15

摘要/Abstract

摘要： 为更精准地掌握浙江沿岸春秋季小黄鱼生长动态,本文利用2014—2019年春季(4月)和秋季(11月)在浙江沿岸海域底拖网调查资料,通过构建一个广义线性模型(GLM)和9个线性混合效应模型(LMEM)来研究小黄鱼生长的异质性。结果表明:小黄鱼平均体长为124.12 mm(15～210 mm),优势组为110～140 mm;平均体重为33.28 g(0.04～156.2 g),优势组为30～50 g。根据AIC最小准则,同时具有季节和水域对生长参数a、b随机效应的LMEM模型最优,且交叉验证的结果也表明此模型的预测效果最佳。在最优模型中,生长参数a的固定值为0.61×10^-4,加入季节和水域随机效应后a值为0.32×10^-4～1.91×10^-4,b的固定值为2.73,加入季节和水域随机效应后b值范围为2.49～2.86,表明小黄鱼为负异速生长,季节和水域对小黄鱼体长与体重关系有显著影响。从季节上来看,春季小黄鱼生长速度快于秋季,从水域分布来看,离岸距离越短的水域小黄鱼生长速度越快。

关键词: 小黄鱼, 线性混合效应模型, 体长-体重关系, 生长, 异质性

Abstract: In order to understand the growth dynamics of Larimichthys polyactis in spring and autumn along the coast of Zhejiang Province, we used the survey data of bottom trawlers in spring (April) and autumn (November) from 2014 to 2019 along the coast of Zhejiang Province to examine the heterogeneity of L. polyactis growth by constructing a generalized linear model (GLM) and nine linear mixed effect models (LMEM). The results showed that body length of L. polyactis ranged from 15 mm to 210 mm, with an average of 124.12 mm. The dominant body length group ranged from 110 mm to 140 mm. The body weight ranged from 0.04 g to 156.2 g, with an average of 33.28 g. The dominant body weight group ranged from 30 to 50 g. According to the AIC minimum criterion, the LMEM model with the random effects of seasons and water zones on growth parameters a and b was the best. The results of cross validation also showed that the prediction of this model was the best. In the optimal model, the fixed value of growth parameter a was 0.61×10^-4, which ranged in (0.32-1.91)×10^-4 after adding season and water random effect. The fixed value of parameter b was 2.73, and ranged from 2.49 to 2.86 after adding the random effects of season and water area, indicating that small yellow croaker was under negative allometric growth. Season and water zone had significant effects on the relationship between body length and body weight of small yellow croaker. From a seasonal perspective, the growth rate of small yellow croaker in spring was higher than that in autumn. From water zone perspective, the closer the offshore distance, the faster the growth rate of small yellow croaker.

Key words: Larimichthys polyactis, linear mixed-effects model, body length-weight relationship, growth, heterogeneity

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.

WANG Ya-li, ZHU Hai-chen, LI Xiao-dong, XU Kai-da, ZHOU Yong-dong, JIANG Ri-jin, LI Zhen-hua. Growth heterogeneity of Larimichthys polyactis in spring and autumn along the coast of Zhejiang, China[J]. Chinese Journal of Applied Ecology, 2022, 33(8): 2244-2250.

参考文献

[1] Ma Q, Yan J, Ren Y. 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): e0171811
[2] Santos MN, Gaspar MB, Vasconcelos P, et al. Weight-length relationships for 50 selected fish species of the Algarve coast (southern Portugal). Fisheries Research, 2002, 59: 289-295
[3] Sangun L, Akamca E, Akar M. Weight-length relationships for 39 fish species from the north-eastern mediterranean coast of Turkey. Turkish Journal of Fisheries and Aquatic Sciences, 2007, 7: 37-40
[4] Froese R, Cube L. Condition factor and weight-length relationships: History, meta-analysis and recommendations. Journal of Applied Ichthyology, 2006, 22: 241-253
[5] 刘勇, 程家骅. 小黄鱼Larimichthys polyactis体长-体重关系幂指数与产卵群体空间分布相关性研究. 海洋学报, 2014, 36(6): 124-130
[6] 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
[7] Xu H, Sun YJ, Wang XJ, et al. Linear mixed-effects models to describe individual tree crown width for China-fir in Fujian Province, southeast China. PLoS One, 2015, 10(4): e0122257
[8] Thai H, Mentré F, Nicholas H, et al. A comparison of bootstrap approaches for estimating uncertainty of para-meters in linear mixed-effects models. Pharmaceutical Statistics, 2013, 12: 129-140
[9] 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
[10] 瞿俊跃, 方舟, 陈新军. 基于线性混合模型的蓝点马鲛叉长和体重关系的月间及性别差异. 中国水产科学, 2020, 27(8): 953-960
[11] 水柏年. 黄海南部、东海北部小黄鱼的年龄与生长研究. 浙江海洋学院学报: 自然科学版, 2003, 22(1): 16-20
[12] 金显仕. 黄海小黄鱼生态和种群动态的研究. 中国水产科学, 1996, 3(1): 32-46
[13] 汤建华. 东海区小黄鱼资源现状及管理初探. 海洋渔业, 1999, 21(4): 173-174
[14] 周永东, 徐汉祥, 潘国良, 等. 东海区鲳鱼、小黄鱼资源量及其持续渔获量的估算. 浙江海洋学院学报: 自然科学版, 2013, 32(1): 1-5
[15] 刘尊雷, 杨林林, 袁兴伟, 等. 基于集成模型的小黄鱼越冬群体适宜生境及其环境影响因素. 应用生态学报, 2020, 31(6): 2076-2086
[16] 薛莹, 金显仕, 张波, 等. 黄海中部小黄鱼的食物组成和摄食习性的季节变化. 中国水产科学, 2004, 11(3): 237-243
[17] 魏秀锦, 张波, 单秀娟, 等. 渤海小黄鱼摄食习性. 中国水产科学, 2018, 25(6): 1289-1298
[18] 马超, 沈长春, 庄之栋, 等. 闽南-台湾浅滩白姑鱼渔业生物学特性研究. 渔业研究, 2019, 41(1): 34-41
[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/T9403-2012). 北京: 中国农业出版社, 2013
[20] 张秋华, 程家骅, 徐汉祥, 等. 东海区渔业资源及其可持续利用. 上海: 复旦大学出版社, 2007: 183-200
[21] 费鸿年, 张诗全. 水产资源学. 北京: 中国农业出版社, 1993: 614-639
[22] Keys AB. The weight-length relationship in fishes. Proceedings of the National Academy of Sciences of the United States of America, 1928, 14: 922-925
[23] Akaike H. A new look at the statistical model identification. Automatic Control, 1974, 19: 716-723
[24] Burnham KP, Anderson DR. Model Selection and Multimodel Inference: A Practical Information Theoretic Approach. 2nd Ed. New York: Springer, 2002: 484-488
[25] Luke SK. Evaluating significance in linear mixed-effects models in R. Behavior Research Methods, 2017, 49: 1494-1502
[26] 詹秉义. 渔业资源评估. 北京: 中国农业出版社, 1995: 20
[27] 于南京, 俞存根, 许永久, 等. 舟山群岛外海域虾类群落结构及其与环境因子的关系. 中国水产科学, 2021, 28(3): 288-298
[28] 林龙山, 姜亚洲, 刘尊雷, 等. 黄海南部和东海小黄鱼资源分布差异性研究. 中国海洋大学学报: 自然科学版, 2010, 40(3): 1-6
[29] 严利平, 李建生, 沈德刚, 等. 黄海南部、东海北部小黄鱼饵料组成和摄食强度的变化. 海洋渔业, 2006, 28(2): 117-123
[30] 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. 上海: 华东师范大学出版社, 1987: 339-356
[31] Froese R, Thorson JT, Reyes RB. A Bayesian approach for estimating length-weight relationships in fishes. Journal of Applied Ichthyology, 2014, 30: 78-85
[32] Trippel EA. Age at maturity as a stress indicator in fishe-ries: Biological processes related to reproduction in northwest Atlantic groundfish populations that have undergone declines. Bioscience, 1995, 45: 759-771
[33] 李忠炉, 金显仕, 单秀娟, 等. 小黄鱼体长-体质量关系和肥满度的年际变化. 中国水产科学, 2011, 18(3): 602-610
[34] 刘尊雷, 袁兴伟, 严利平, 等. 应用混合模型和分位数回归分析东黄海小黄鱼肥满度空间异质性. 应用生态学报, 2013, 24(9): 2631-2642

浙江沿岸春秋季小黄鱼生长异质性

Growth heterogeneity of Larimichthys polyactis in spring and autumn along the coast of Zhejiang, China

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