An estimate of the population growth rate ($\gamma$) is an essential biological information that can be input into stock assessment models to estimate management quantities for commercial fisheries. Demographic analysis conducted using the Leslie matrix method was used to estimate $\gamma$ for Indian Ocean blue shark (Prionace glauca), with Monte Carlo simulation used to quantify uncertainty. A harvest analysis was conducted with various selectivity patterns. The results indicated that the productivity of the blue shark was high, with $\gamma =0.26$–0.32 y⁻¹ under the assumption of a one-year reproductive cycle. The steepness of the Beverton–Holt stock-recruitment model was estimated to be 0.72 (0.24–0.87) when the Castro and Mejuto fecundity formular was assumed, and 0.80 (0.65–0.88) when the Fujinami et al. fecundity formular was assumed. Harvest analysis with tuna longline selectivity led to lower sustainable harvest rates, but a higher proportion of biomass removed compared to the selectivity patterns for other fisheries. This study provides crucial prior information on the population growth rate and steepness parameters, which can be incorporated into stock assessments for blue shark. Besides, harvest analysis could be a supplement for data-poor stock assessment and risk analysis, to evaluate a tradeoff among different fisheries when considering a management strategy.

人口增长率的估算（$\gamma$）是必不可少的生物学信息，可以将其输入种群评估模型中，以估算商业渔业的管理量。使用莱斯利矩阵法进行的人口统计分析用于估算$\gamma$印度洋蓝鲨（Prionace glauca），使用蒙特卡洛模拟对不确定性进行量化。以各种选择性模式进行收获分析。结果表明，蓝鲨的生产力很高，$\gamma =0。26$–0.32 y ^-1假设生殖周期为一年。假设采用Castro和Mejuto繁殖力公式时，Beverton-Holt库存补充模型的陡度估计为0.72（0.24-0.87），而Fujinami等人则为0.80（0.65-0.88）。假定生育力公式。金枪鱼延绳钓选择性的捕捞分析导致较低的可持续捕捞率，但与其他渔业的选择性模式相比，去除的生物量比例更高。这项研究提供了有关种群增长率和陡度参数的重要先验信息，可以将其纳入蓝鲨种群评估中。此外，收获分析可以作为缺乏数据的种群评估和风险分析的补充，以在考虑管理策略时评估不同渔业之间的权衡。