Individual growth parameters of blue abalone and yellow abalone were estimated through length-frequency length–frequency analysis using biometric data from bank surveys conducted by the National Fisheries Institute from 1998 to 2018. The growth parameters calculated by the von Bertalanffy equation are as follows: Haliotis corrugata ($K=0.362$ yr-1, ${\mathit{L}}_{\mathit{\infty }}=150.5$ mm and $t_0=$ -0.10mm) and Haliotis fulgens ($K=0.305$ yr-1, ${\mathit{L}}_{\mathit{\infty }}=163.5$ mm and $t_0=$ -0.64mm). When evaluating growth performance, through the Phi-prime growth index (${\varnothing }^{\prime }$), indices of ${\varnothing }^{\prime }=3.36$ for H. corrugata and ${\varnothing }^{\prime }=3.38$ for H. fulgens were obtained. Subsequently, for the two species, a pattern of interannual variation in growth performance ${\varnothing }^{\prime }$ was identified and had a positive correlation with sea surface temperature and fluorescence in the Mexican North Pacific, explaining 38% and 54%, respectively, of the variation in growth. This functional relationship between environmental parameters and growth opens the opportunity for more efficient management of the resource by discriminating sources of variation not caused by fishing and foreseeing abalone population conditions under different restoration and exploitation plans.

蓝色鲍鱼和黄色鲍鱼的个体生长参数使用与由国家渔业研究所进行从1998年到2018年的调查银行生物特征数据通过长度频长度频率分析估计由贝塔朗菲等式计算生长参数如下：鲍瓦楞纸（$钾=0.362$ 年-1， ${\mathit{升}}_{\mathit{\infty }}=150.5$ 毫米和 ${吨}_0=$-0.10mm) 和Haliotis fulgens ($钾=0.305$ 年-1， ${\mathit{升}}_{\mathit{\infty }}=163.5$ 毫米和 ${吨}_0=$-0.64 毫米）。在评估增长绩效时，通过 Phi-prime 增长指数（${\varnothing }^{\prime }$)，指数 ${\varnothing }^{\prime }=3.36$对于H. corrugata和 ${\varnothing }^{\prime }=3.38$获得了H. fulgens。随后，对于这两个物种，生长性能的年际变化模式 ${\varnothing }^{\prime }$被确定并与墨西哥北太平洋的海面温度和荧光呈正相关，分别解释了 38% 和 54% 的增长变化。环境参数和生长之间的这种功能关系通过区分非捕捞引起的变异来源和预见不同恢复和开发计划下的鲍鱼种群状况，为更有效地管理资源提供了机会。