Wang Ya-Li, Zhu Hai-Chen, Li Xiao-Dong, Xu Kai-da, Zhou Yong-Dong, Jiang Ri-Jin, Li Zhen-Hua
Marine and Fishery Institute of Zhejiang Ocean University, Zhoushan 316021, Zhejiang, China.
College of Fisheries, Zhejiang Ocean University, Zhoushan 316022, Zhejiang, China.
Ying Yong Sheng Tai Xue Bao. 2022 Aug;33(8):2244-2250. doi: 10.13287/j.1001-9332.202209.028.
In order to understand the growth dynamics of 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 growth by constructing a generalized linear model (GLM) and nine linear mixed effect models (LMEM). The results showed that body length of 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 and 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 was 0.61×10, which ranged in (0.32-1.91)×10 after adding season and water random effect. The fixed value of parameter 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.
为了解浙江沿海小黄鱼春、秋季的生长动态,我们利用2014年至2019年浙江沿海春季(4月)和秋季(11月)底拖网渔船的调查数据,通过构建广义线性模型(GLM)和九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,小黄鱼体长范围为15毫米至210毫米,平均为124.12毫米。优势体长组为110毫米至140毫米。体重范围为0.04克至156.2克,平均为33.28克。优势体重组为30至50克。根据AIC最小值标准,生长参数b和k具有季节和水域随机效应的LMEM模型最佳。交叉验证结果也表明该模型的预测效果最佳。在最优模型中,生长参数b的固定值为0.61×10,加入季节和水域随机效应后范围为(0.32 - 1.91)×10。参数k的固定值为2.73,加入季节和水域面积随机效应后范围为2.49至2.86,表明小黄鱼呈负异速生长。季节和水域对小黄鱼体长与体重的关系有显著影响。从季节角度看,小黄鱼春季的生长速率高于秋季。从水域角度看,离岸距离越近,小黄鱼的生长速率越快。