An improved method for estimating individual growth variability in fish, and the correlation between von Bertalanffy growth parameters
An improved method for estimating individual growth variability in fish, and the correlation between von Bertalanffy growth parameters
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DOI：
10.1139/f02-022
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发表时间：
2002-03-01
影响因子：
2.4
通讯作者：
Walker, SG
中科院分区：
文献类型：
--
作者：
Pilling, GM;Kirkwood, GP;Walker, SG
提出了一种估算鱼类von Bertalanffy生长参数个体变异的新方法。该方法使用非线性随机效应模型，该模型明确假设个体的生长参数代表来自物种或种群的生长参数特征的多变量种群的样本。该方法被应用到反算的年龄数据从热带皇帝，Lethrinus mahsena的长度。将个体生长参数变异性估计值与使用当前“标准”方法获得的估计值进行比较，该方法表征了通过将生长曲线独立拟合至每个个体数据集获得的生长参数估计值的联合分布。两种方法的平均von Bertalanffy生长参数估计值相似。然而，使用标准方法估计的生长参数方差要高得多。使用随机效应模型，L-无穷大和K的群体平均值之间的估计相关性为-0.52或-0.42，取决于K假设的边缘分布。后一种估计的95%后验可信区间为-0.62至-0.17。这些代表了这种相关性的第一个可靠估计，并证实了这些参数在鱼类种群中呈负相关的观点;然而，绝对相关值略低于假设值。
A new method for estimating individual variability in the von Bertalanffy growth parameters of fish species is presented. The method uses a nonlinear random effects model, which explicitly assumes that an individual's growth parameters represent samples from a multivariate population of growth parameters characteristic of a species or population. The method was applied to backcalculated length-at-age data from the tropical emperor, Lethrinus mahsena. Individual growth parameter variability estimates were compared with those derived using the current "standard" method, which characterizes the joint distribution of growth parameter estimates obtained by independently fitting a growth curve to each individual data set. Estimates of mean von Bertalanffy growth parameters from the two methods were similar. However, estimated growth parameter variances were much higher using the standard method. Using the random effects model, the estimated correlation between population mean values of L-infinity and K was -0.52 or -0.42, depending on the marginal distribution assumed for K. The latter estimate had a 95% posterior credibility interval of -0.62 to -0.17. These represent the first reliable estimate of this correlation and confirm the view that these parameters are negatively correlated in fish populations; however, the absolute correlation value is somewhat lower than has been assumed.