Institute of Fisheries Science, Division of Life Science, National Taiwan University, Taiwan.
J Fish Biol. 2009 Jul;75(1):100-12. doi: 10.1111/j.1095-8649.2009.02268.x.
Information theory was applied to select the best model fitting total length (L(T))-at-age data and calculate the averaged model for Japanese eel Anguilla japonica compiled from published literature and the differences in growth between sexes were examined. Five candidate growth models were the von Bertalanffy, generalized von Bertalanffy, Gompertz, logistic and power models. The von Bertalanffy growth model with sex-specific coefficients was best supported by the data and nearly overlapped the averaged growth model based on Akaike weights, indicating a similar fit to the data. The Gompertz, generalized von Bertalanffy and power growth models were also substantially supported by the data. The L(T) at age of A. japonica were larger in females than in males according to the averaged growth mode, suggesting a sexual dimorphism in growth. Model inferences based on information theory, which deal with uncertainty in model selection and robust parameter estimates, are recommended for modelling the growth of A. japonica.
信息论被应用于选择最适合的体长-年龄数据模型，并计算由文献中发表的日本鳗鲡 Anguilla japonica 体长总和的平均模型，同时检验了雌雄之间的生长差异。五个候选生长模型分别是 von Bertalanffy、广义 von Bertalanffy、Gompertz、逻辑和幂模型。具有性别特定系数的 von Bertalanffy 生长模型得到了数据的最佳支持，几乎与基于 Akaike 权重的平均生长模型重叠，表明对数据有相似的拟合。Gompertz、广义 von Bertalanffy 和幂生长模型也得到了数据的实质性支持。根据平均生长模式，日本鳗鲡的体长在雌性中大于雄性，表明生长存在性二型性。建议使用基于信息理论的模型推断，该理论处理模型选择和稳健参数估计中的不确定性，用于模拟日本鳗鲡的生长。
