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首页> 外文期刊>North American Journal of Fisheries Management >Statistical Catch-Free Age-Structured Assessment to Estimate Year-Class Strength for Inland Recreational Fisheries: A Largemouth Bass Example
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Statistical Catch-Free Age-Structured Assessment to Estimate Year-Class Strength for Inland Recreational Fisheries: A Largemouth Bass Example

机译：统计无产的年龄结构评估，以估算内陆娱乐渔业的年级实力：苏醒低音

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摘要

Statistical catch-at-age analysis (SCAA) is commonly used to estimate recruitment and mortality for large-scale, economically important fish stocks, but fishery-dependent catch-at-age data are often unavailable for smaller-scale inland fisheries, thus limiting the use of SCAA. In these systems, a catch-free approach to age-structure modeling may be useful for estimating recruitment and mortality rates solely from a time series of survey age composition and catch rate data by estimating recruitment as a relative index of year-class strength (Rt). Here, we demonstrate a statistical catch-free age-structured assessment (SCFASA) model for small-scale inland fish stocks as an alternative to traditional catch curve approaches by using Largemouth Bass Micropterus salmoides as an example. We fitted the SCFASA to fishery-independent survey age composition and catch-per-effort data from Largemouth Bass stocks in three Alabama reservoirs to estimate Rt, annual fishing mortality rates, and age-specific electrofishing survey vulnerability; we compared Rt to catch curve residual estimates and performed a sensitivity analysis under a variety of model assumptions. Model estimates of Rt and temporal trends in fishing mortality were robust to changes in assumptions about the effective sample size of multinomial age samples, natural mortality rate, and temporal variability in fishing mortality. However, the magnitude of instantaneous fishing mortality rates at two of the three reservoirs was somewhat higher than empirical estimates for similar stocks and was sensitive to model assumptions. Our application of the SCFASA to survey data sets routinely collected by management agencies for Largemouth Bass potentially provides a comprehensive approach to estimating Rt, mortality, and sampling vulnerability for these stocks without increasing sampling effort. Future investigations of SCFASA's utility for small-scale inland stocks should address the potential for bias in the magnitude of fishing mortality estimates due to incorrectly specified vulnerability schedules.
机译：统计捕捞时间分析（SCAA）通常用于估计大规模经济上重要的鱼类库存的招聘和死亡率，但渔业依赖的捕捞时间数据通常不可用于小型内陆渔业，从而限制使用scaa。在这些系统中，通过估计作为年级强度的相对指数来估计调查年龄组成和捕获率数据的时间序列，可以用于估计招聘和死亡率，可用于估计招聘和死亡率。 ）。在这里，我们展示了一种统计无吸收性的年龄结构化评估（SCFASA）模型，用于小型内陆鱼类库存，作为传统捕获曲线的替代方法，通过使用大型南部的低音微管伴侣作为示例。我们将SCFASA拟合到渔业 - 独立调查年龄组成和捕捞人数来自三位阿拉巴马州水库的跛足鲈鱼股，以估算RT，年度捕捞死亡率和年龄特异性电扫描漏洞;我们比较了RT捕获曲线残余估计，并在各种模型假设下进行敏感性分析。捕捞死亡率的RT和时间趋势的模型估计对于多项式样本，自然死亡率和捕捞死亡率的时间变异性的有效样本规模的假设变化是稳健的。然而，三个水库中两种瞬间捕捞死亡率的大小比类似股票的实证估计数量略高，对模型假设敏感。我们对SCFASA进行调查数据集的申请经常由管理机构进行的管理机构收集，因为Largemouth Bass可能提供了一种综合方法来估算这些股票的RT，死亡率和采样脆弱性而不会增加采样措施。由于错误指定的漏洞时间表，对SCFASA对小型内陆股票的效用的未来调查应解决捕捞死亡率估计数量的偏差。

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