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首页> 外文期刊>North American Journal of Fisheries Management >Utility of a Probabilistic Sampling Design to Determine Bull Trout Population Status Using Redd Counts in Basins of the Columbia River Plateau
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Utility of a Probabilistic Sampling Design to Determine Bull Trout Population Status Using Redd Counts in Basins of the Columbia River Plateau

机译:概率抽样设计的实用程序,用于使用Redd计数确定哥伦比亚河高原盆地的红鳟鱼种群状况

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摘要

Redd counts are commonly used to monitor the current population status, trends in abundance, and distribution of bull trout Salvelinus confluentus. In many cases redd counts are conducted at subjectively selected sites, and there has been limited evaluation of statistical sampling designs. We evaluated the utility of the generalized random tessellation stratified (GRTS) sampling design to determine bull trout population status through redd counts. We tested a sampling effort that would be economically practical to implement on a continuous basis in multiple drainages within the southeastern Washington and Oregon portions of the Columbia River plateau. We evaluated the logistics of a pilot application of the GRTS design, compared GRTS-based estimates of redd abundance with those from census surveys, determined the precision of the GRTS estimates and the associated power for abundance comparisons, and compared the performance of the GRTS design with that of other probability sampling designs through simulation. A target of 50 sites per basin can be sampled by a two-person survey crew multiple times over the spawning season. At that level of effort, the precision of redd abundance estimates ranges from 15% to 35%, depending on the patchiness of the redd distribution and the extent of the target population. These levels of precision are suitable for detecting a 30-70% change in redd abundance. Direct comparisons of GRTS-based estimates with those obtained from a census showed mixed results. However, in a simulation study with three other probability sampling designs, GRTS consistently outperformed all but systematic sampling, which provided slightly better precision at intermediate sample sizes. Depending on the scale of inference, GRTS is useful in monitoring bull trout conservation units through redd counts, though a census may provide a more practical design for monitoring core areas as defined by the U.S. Fish and Wildlife Service.
机译:Redd计数通常用于监视当前的人口状况,丰度趋势和汇合鲑鳟。在许多情况下,在主观选择的地点进行重复计数,并且对统计抽样设计的评估有限。我们评估了广义随机棋盘格分层(GRTS)抽样设计的效用,可通过Redd计数来确定公鳟鱼的种群状况。我们测试了在连续基础上在哥伦比亚河高原的华盛顿东南部和俄勒冈州部分的多条排水渠中连续实施的经济可行的抽样工作。我们评估了GRTS设计试点应用的后勤效果,将基于GRTS的红度丰度估算值与普查中的估算值进行了比较,确定了GRTS估算值的精度以及进行丰度比较的相关功效,并比较了GRTS设计的性能通过仿真与其他概率抽样设计进行比较。在产卵季节,由两个人组成的调查小组可以多次采样每个流域50个站点的目标。在此级别的努力下,根据redd分布的不连续性和目标人群的范围,redd丰度估计的精度范围为15%到35%。这些精度水平适用于检测红色丰度变化30-70%。将基于GRTS的估计值与从普查中获得的估计值进行直接比较,结果不一。但是,在一项采用其他三种概率抽样设计的模拟研究中,GRTS的性能始终优于系统抽样,这在中等抽样规模下提供了更好的精度。根据推断的规模,尽管人口普查可能提供更实用的设计来监视美国鱼类和野生动物服务局定义的核心区域,但GRTS仍可用于通过redd计数来监视鳟鱼养护单位。

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