Brown Trout Salmo trutta are a popular sport fish, and numerous populations that are unable to successfully reproduce are maintained with supplemental stockings in waters with habitat that can support individual survival (e.g., appropriate thermal refuge). Long-term management of these populations requires understanding of their population dynamics to determine harvest restrictions and stocking rates. The objective of this research was to describe population dynamics of a tailrace Brown Trout fishery using an integrated population model (IPM) that incorporates monitoring data and low-cost batch mark–recapture data. Further, we evaluated the relationship between water temperature and survival. We hypothesized that annual survival would be lower at high water temperature. Additionally, we used the IPM to project the Brown Trout population based on two different management scenarios (no minimum length limit with seven-fish bag limit and 356-mm-TL minimum length limit with two-fish bag limit). Management outcomes explored include total population size, age frequencies, and length indices. The results of this study suggested that recreational harvest and water temperature were the two main factors influencing the Brown Trout population. Water temperature was found to be a major factor in determining survival of Brown Trout. Simulations under various minimum length limits indicated the minimum length limit of 356 mm TL and a two-fish bag limit will substantially increase the population size but with a reduction in length indices. Integrated population models have been applied historically to large systems with significant amounts of data. Estimates of survival and detection are important components of an IPM; to our knowledge, the IPM used here is the first to integrate batch mark–recapture data to estimate these key parameters. The data and modeling approach used here demonstrate the value of using novel statistical methods to make the most efficient use of low-cost survey data.

中文翻译：

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将批标记-重新捕获数据合并到褐鳟鱼的综合种群模型中

褐鳟褐鳟是一种受欢迎的运动鱼，许多无法成功繁殖的种群在具有可以支持个体生存的栖息地（例如，适当的热避难所）的水域中使用补充丝袜来维持。这些种群的长期管理需要了解它们的种群动态，以确定收获限制和放养率。本研究的目的是使用综合种群模型 (IPM) 来描述尾线褐鳟渔业的种群动态，该模型结合了监测数据和低成本批次标记-重新捕获数据。此外，我们评估了水温与存活率之间的关系。我们假设在高水温下年存活率会降低。此外，我们使用 IPM 根据两种不同的管理方案（无最小长度限制，7 条鱼袋限制和 356 毫米-TL 最小长度限制，2 条鱼袋限制）来预测褐鳟种群。探索的管理结果包括总人口规模、年龄频率和长度指数。这项研究的结果表明，休闲收获和水温是影响褐鳟鱼种群的两个主要因素。发现水温是决定褐鳟鱼存活的主要因素。在各种最小长度限制下的模拟表明，最小长度限制为 356 毫米 TL 和两个鱼袋限制将大大增加种群规模，但长度指数会降低。综合人口模型历史上已应用于具有大量数据的大型系统。生存和检测的估计是 IPM 的重要组成部分；据我们所知，这里使用的 IPM 是第一个集成批次标记 - 重新捕获数据以估计这些关键参数的方法。这里使用的数据和建模方法证明了使用新颖的统计方法最有效地利用低成本调查数据的价值。