Analysis of spawning biomass per‐recruit has been widely adopted in fisheries management. Fishing mortality expressed as spawning potential ratio (SPR) often requires a reference point as an appropriate proxy for the fishing mortality that supports a maximum sustainable yield—F_MSY. To date, a single generic level between F_30% and F_40% is routinely used. Using records from stock assessments in the RAM Legacy Database (RAMLD), we confirm that SPR at MSY (SPR_MSY) is a declining function of stock productivity quantified by F_MSY. We then use general linear models (GLM) and Bayesian errors‐in‐variables models (BEIVM) to show that SPR_MSY can be predicted from life‐history parameters (LHPs, including maximum lifespan, age‐ and length‐at‐maturation, growth parameters, natural mortality, and taxonomic Class) as well as gear selectivity. The calculated SPR_MSY ranges from about 13% to 95% with a mean of 47%. About 64% of the stocks in the RAMLD require SPR_MSY > 40%. Modelling SPR_MSY reveals that LHPs plus Class explain 61% of the deviance in SPR_MSY. Faster‐growing, low‐survival, and short‐lived species generally require a high SPR. With equal LHPs, elasmobranchs require about 20% higher SPR_MSY than teleosts. When F_MSY is estimated from fisheries that harvest older fish, increasing the vulnerable age by one year leads to about an 8% increase in SPR_MSY. The BEIVM yields smaller variance and bias than the GLM. The models developed in this study could be used to predict SPR_MSY reference points for new stocks using the same LHPs for calculating F_x%, but without knowledge of the stock‐recruitment parameters.

中文翻译：

---

从生命历史参数中识别出产卵生物的每招募参考点

在渔业管理中已广泛采用对产卵生物量的分析。表示为产卵潜能比（SPR）的捕捞死亡率通常需要参考点作为支持最大可持续产量F _MSY的捕捞死亡率的适当替代。迄今为止，常规使用的是F _30％至F _40％之间的单一通用水平。使用RAM Legacy数据库（RAMLD）中的库存评估记录，我们确认MSY的SPR（SPR _MSY）是F _MSY量化的库存生产力的下降函数。然后，我们使用通用线性模型（GLM）和贝叶斯不变变量模型（BEIVM）来显示SPR _MSY可以从寿命历史参数（LHP，包括最大寿命，成熟年龄和长度，生长参数，自然死亡率和分类学分类）以及齿轮选择性进行预测。计算得出的SPR _MSY范围约为13％至95％，平均值为47％。RAMLD中约64％的股票要求SPR _MSY  > 40％。对SPR _MSY建模表明，LHP加Class解释了SPR _MSY中61％的偏差。生长快，存活率低和寿命短的物种通常需要较高的SPR。在LHP相等的情况下，弹性分支所需要的SPR _MSY比硬骨鱼类高20％。当F _MSY根据捕捞较老鱼类的渔业估计，将易受害年龄增加一年会导致SPR _MSY大约增加8％。与GLM相比，BEIVM产生的方差和偏差更小。本研究开发的模型可用于使用相同的LHP来计算新股票的SPR _MSY参考点，以计算F _x％，但无需了解股票招聘参数。