Von Bertalanffy equation was analyzed in theory and compared for fitting with a lot of present data between the power-exponential equation of growth and von Bertalanffy’s. It was discovered that power-exponential gro...Von Bertalanffy equation was analyzed in theory and compared for fitting with a lot of present data between the power-exponential equation of growth and von Bertalanffy’s. It was discovered that power-exponential growth equation was more applicable and fitting than von Bertalanffy’s and was also deduced by modifying von Bertalanffy equation. Comparing with other eight growth mathematical models, the relation index for fitting and applicable range of the power-exponential growth equation was the best in all models.展开更多
文摘Von Bertalanffy equation was analyzed in theory and compared for fitting with a lot of present data between the power-exponential equation of growth and von Bertalanffy’s. It was discovered that power-exponential growth equation was more applicable and fitting than von Bertalanffy’s and was also deduced by modifying von Bertalanffy equation. Comparing with other eight growth mathematical models, the relation index for fitting and applicable range of the power-exponential growth equation was the best in all models.
文摘本研究通过对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。
