硬刺高原鳅生长特性的模型分析与比较研究

Model Analysis and Comparative Study on Growth Characteristics of Triplophysa scleroptera

本研究通过对2022、2023年在黄河干流甘肃、宁夏段采集的274个硬刺高原鳅样本进行分析,旨在深入理解其生长特性,并丰富硬刺高原鳅的生物学研究内容。研究采用Von Bertalanffy生长方程(VBGF)、逻辑斯谛生长方程(Logistic GF)、Gompertz生长方程和幂指数生长方程对样本进行生长模拟,使用最大似然法估算模型参数,并依据AIC准则(Akaike Information Criterion)评估各模型的拟合效果,选择最佳模型,分析硬刺高原鳅的年龄组成及其生长特性。结果显示,VBGF生长方程(AIC值:63.74)为硬刺高原鳅的最适生长模型,其次为Gompertz生长方程(AIC值:64.11)、幂指数生长方程(AIC值:64.12),拟合效果最差的为Logistic生长方程(AIC值:65.05),其中硬刺高原鳅全长VBGF生长方程为:L_(t)=28.986·[1-e^(-0.097·(t_(1)+1.258))];体质量生长方程为:W_(t)=194.721·[1-e^(-0.097·(t_(1)+1.258))]^(2.9889)。研究结果可为硬刺高原鳅资源保护提供科学依据。

By analyzing the growth characteristics of the Yellow River mainstream Triplophysa scleroptera,the aim of the study was to enrich its biological research.A total of 274 samples of Triplophysa scleroptera collected in Gansu and Ningxia sections of the mainstream of the Yellow River in 2022 and 2023 were used as experimental samples to analyze their age composition.Growth equation of Von Bertalanffy(VBGF),Logistic GF,Gompertz growth equation and power exponential growth equation were adopted to simulate the growth of Triplophysa scleroptera,and the maximum likelihood method was used to estimate the model parameters,and then the AIC criterion(Akaike Information Criterion)was used to evaluate the effects of each model,and the best model was selected to analyze the growth characteristics of Triplophysa scleroptera.The results showed that the VBGF growth equation(AIC value:63.74)was the most suitable growth model for Triplophysa scleroptera,followed by the Gompertz growth equation(AIC value:64.11)and the power exponential growth equation(AIC value:64.12),and the Logistic growth equation(AIC value:65.05)had the worst fitting effect,and the VBGF growth equation for the full length of the Triplophysa scleroptera is L_(t)=28.986·[1-e^(-0.097·(t_(1)+1.258))];the weight growth equation is W_(t)=194.721·[1-e^(-0.097·(t_(1)+1.258))]^(2.9889).The results of this study can provide a scientific basis for the conservation of Triplophysa scleroptera resources.