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首页> 外文期刊>North American Journal of Fisheries Management >Instantaneous-Rates Tagging Models Allowing for Delayed Mixing of Newly Tagged Cohorts: Partial Year Tabulation of Recaptures
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Instantaneous-Rates Tagging Models Allowing for Delayed Mixing of Newly Tagged Cohorts: Partial Year Tabulation of Recaptures

机译：允许新标签群组的延迟混合的即时费率标记模型：部分年份汇总表

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摘要

Instantaneous-rates tagging models can be used to estimate natural and fishing mortality rates from multiyear tagging studies in which cohorts of tagged animals are released at the start of each year. The models can include additional parameters to account for a delay in the mixing of newly tagged animals with previously tagged animals. Here a new model, referred to as the partial-year tabulation model for delayed mixing (delayed PYT model), is proposed in which the year is divided into parts and tagreturns are tabulated by parts of the year rather than a full year. This is beneficial when there is delayed mixing because it achieves greater precision than annual tabulation and it provides estimates of the instantaneous rate of fishing mortality inthe first year, which cannot be obtained when tag returns are tabulated by full year. The new model can be used at little or no extra cost. The superiority of the delayed PYT model is demonstrated through Monte Carlo simulation.
机译：瞬时率标签模型可用于根据多年标签研究估算自然死亡率和捕鱼死亡率，在多年研究中，每年年初都会发布带有标签的动物群。该模型可以包括附加参数，以解决新标记动物与先前标记动物混合时的延迟。在这里，提出了一种新的模型，称为延迟混合的部分年份制表模型（延迟PYT模型），其中将年份分为几部分，并以年份的一部分而不是整年的形式列出标签收益。当延迟混合时，这是有好处的，因为它比年度制表的精度更高，并且可以提供第一年的瞬时捕捞死亡率估计值，而当按整年的制表标签归类时则无法获得。新模型可以使用很少或没有额外费用。延迟PYT模型的优越性通过蒙特卡洛模拟得到了证明。

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