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用于描述中国北海岸小黄鱼(Larimichthys Polyactis)体长-体重关系的线性混合效应模型。

Linear mixed-effects models to describe length-weight relationships for yellow croaker (Larimichthys Polyactis) along the north coast of China.

作者信息

Ma Qiuyun, Jiao Yan, Ren Yiping

机构信息

Fisheries College, Ocean University of China, Qingdao, Shandong, China.

Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America.

出版信息

PLoS One. 2017 Feb 22;12(2):e0171811. doi: 10.1371/journal.pone.0171811. eCollection 2017.

Abstract

In this study, length-weight relationships and relative condition factors were analyzed for Yellow Croaker (Larimichthys polyactis) along the north coast of China. Data covered six regions from north to south: Yellow River Estuary, Coastal Waters of Northern Shandong, Jiaozhou Bay, Coastal Waters of Qingdao, Haizhou Bay, and South Yellow Sea. In total 3,275 individuals were collected during six years (2008, 2011-2015). One generalized linear model, two simply linear models and nine linear mixed effect models that applied the effects from regions and/or years to coefficient a and/or the exponent b were studied and compared. Among these twelve models, the linear mixed effect model with random effects from both regions and years fit the data best, with lowest Akaike information criterion value and mean absolute error. In this model, the estimated a was 0.0192, with 95% confidence interval 0.01780.0308, and the estimated exponent b was 2.917 with 95% confidence interval 2.7312.945. Estimates for a and b with the random effects in intercept and coefficient from Region and Year, ranged from 0.013 to 0.023 and from 2.835 to 3.017, respectively. Both regions and years had effects on parameters a and b, while the effects from years were shown to be much larger than those from regions. Except for Coastal Waters of Northern Shandong, a decreased from north to south. Condition factors relative to reference years of 1960, 1986, 2005, 2007, 2008~2009 and 2010 revealed that the body shape of Yellow Croaker became thinner in recent years. Furthermore relative condition factors varied among months, years, regions and length. The values of a and relative condition factors decreased, when the environmental pollution became worse, therefore, length-weight relationships could be an indicator for the environment quality. Results from this study provided basic description of current condition of Yellow Croaker along the north coast of China.

摘要

本研究分析了中国北海岸小黄鱼(Larimichthys polyactis)的体长-体重关系和相对条件因子。数据涵盖了从北到南的六个区域:黄河口、山东北部沿海水域、胶州湾、青岛沿海水域、海州湾和南黄海。在六年(2008年、2011 - 2015年)期间共收集了3275个个体。研究并比较了一个广义线性模型、两个简单线性模型和九个将区域和/或年份的影响应用于系数a和/或指数b的线性混合效应模型。在这十二个模型中,同时包含区域和年份随机效应的线性混合效应模型对数据拟合最佳,具有最低的赤池信息准则值和平均绝对误差。在该模型中,估计的a为0.0192,95%置信区间为0.01780.0308,估计的指数b为2.917,95%置信区间为2.7312.945。包含区域和年份截距及系数随机效应的a和b估计值分别在0.013至0.023以及2.835至3.017之间。区域和年份均对参数a和b有影响,而年份的影响远大于区域的影响。除山东北部沿海水域外,a从北向南递减。相对于1960年、1986年、2005年、2007年、2008 - 2009年和2010年参考年份的条件因子表明,近年来小黄鱼的体型变得更瘦。此外,相对条件因子在月份、年份、区域和体长之间存在差异。当环境污染加剧时,a值和相对条件因子降低,因此,体长-体重关系可作为环境质量的一个指标。本研究结果提供了中国北海岸小黄鱼当前状况的基本描述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9639/5321278/a809f47f0bdb/pone.0171811.g001.jpg

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