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浙江沿岸春秋季小黄鱼生长异质性
引用本文: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.
作者姓名:王雅丽  朱海晨  栗小东  徐开达  周永东  蒋日进  李振华
作者单位: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
基金项目: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。
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ab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  
收稿时间:2021-07-12

Growth heterogeneity of Larimichthys polyactis in spring and autumn along the coast of Zhejiang,China
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.
Authors:WANG Ya-li  ZHU Hai-chen  LI Xiao-dong  XU Kai-da  ZHOU Yong-dong  JIANG Ri-jin  LI Zhen-hua
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.
Keywords:Larimichthys polyactis  linear mixed-effects model  body length-weight relationship  growth  heterogeneity  
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