Estimates of discard mortality are difficult to obtain. Meta-analysis or life-history-based approaches to estimate discard mortality could provide informed estimates when direct empirical estimates are not available. We used data from published literature across a variety of fish species to determine if hooking condition (good vs. poor) and species-specific values for the Brody growth coefficient (K: a measure of fish physiology) were meaningful factors influencing discard mortality in hook and line fisheries. We then examined whether a two-step approach, combining condition- and physiology-specific estimates of discard mortality with data on proportion-by-hooking-condition hooking information for a fishery, could result in an estimate of discard mortality for dolphinfish Coryphaena hippurus comparable to an empirical estimate. A model with hooking condition, K and their interaction best fitted the published discard mortality data. K was an important negative covariate of discard mortality for good hooking condition, with higher K species experiencing greater rates of survival. In contrast, species in poor condition had similarly low rates of survival across a range of K values. Results suggests that hooking condition is the dominant source of mortality when fish are hooked in vital areas but that physiology should also be taken into account when estimating discard mortality for good condition fish. For the recreational dolphinfish fishery in the southeastern US, we estimated a median proportional discard mortality rate of 0.12 (95 % credible set: 0.07, 0.17) when combining the meta-analysis and field-collected proportion-by-condition data. This estimate was lower than the empirical estimate of dolphinfish discard mortality but the credible sets overlapped (median: 0.25; 95 % credible set: 0.05, 0.39). Estimates of discard mortality from our meta-analytic approach may be applicable to fisheries where empirical estimates of discard mortality are not available and hooking injuries are the dominant source of mortality.

难以估计丢弃物的死亡率。当没有直接的经验估计时，采用荟萃分析或基于生活史的方法来估计丢弃物的死亡率可以提供有根据的估计。我们使用来自各种鱼类的公开文献中的数据来确定鱼钩的状况（好与差）和布罗迪生长系数的物种特异性值（K：鱼生理学指标）是否是影响鱼钩丢弃率的有意义的因素和线渔业。然后，我们研究了一种两步骤的方法，将针对特定条件和生理的丢弃物死亡率估计值与针对渔业的逐钩比例挂钩信息数据相结合，是否可以得出对海豚海豚Coryphaena hippurus丢弃率的估计值。可与经验估计相媲美。具有挂钩条件，K及其相互作用的模型最适合已发布的丢弃物死亡率数据。对于良好的钩钩条件，钾是丢弃物死亡率的重要负协变量，其中较高的K物种存活率更高。相反，条件差的物种在K范围内的存活率同样较低价值观。结果表明，在重要地区将鱼钩住时，钩住条件是死亡率的主要来源，但是在评估状况良好的鱼的丢弃死亡率时也应考虑生理因素。对于美国东南部的休闲性海豚鱼捕捞，结合荟萃分析和现场按条件收集的比例数据，我们估计丢弃的平均中位数死亡率为0.12（95％可信组：0.07、0.17）。该估计值低于海豚丢弃物死亡率的经验估计值，但可信组重叠（中位数：0.25； 95％可信组：0.05、0.39）。