首页> 外文期刊>Canadian Journal of Fisheries and Aquatic Sciences >Estimating occupancy and detection probability of juvenile bull trout using backpack electrofishing gear in a west-central Alberta watershed
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Estimating occupancy and detection probability of juvenile bull trout using backpack electrofishing gear in a west-central Alberta watershed

机译:在中西部艾伯塔省流域使用背包电钓鱼具估算少年鳟鱼的占有率和发现概率

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摘要

Occupancy modeling is well suited to quantitative assessment of bull trout (Salvelinus confluentus) distribution at multiple scales. We used models to estimate occupancy of juvenile bull trout (= 150 mm fork length) in a west-central Alberta watershed. Based on a backpack electrofishing survey of 92 sites, we assessed the relative importance of stream habitat characteristics on detection probability (p) and potential for false absences to bias occupancy estimates. Median distance to first bull trout detection was 16 m (range 0-289 m). Models including ambient water conductivity as a covariate of detection probability were most supported with an 85 mu S.cm(-1) increase resulting in over a tenfold increase in detection. Conditional detection probability using backpack electrofishing gear approached 95% in the first 200 m of effort in streams with a conductivity around 200 mu S.cm(-1). The potential for false absences in our study area was relatively low. Modeled site ((theta) over cap = 0.53; SE = 0.13) and patch-scale ((psi) over cap = 0.47; SE = 0.12) occupancy closely corresponded to naive (i.e., assuming p = 1) estimates (0.47 and 0.43, respectively). Our results highlight the potential efficiencies of an occupancy modeling approach when assessing fish distribution, but careful consideration of model assumptions is necessary.
机译:乘员建模非常适合在多个尺度上定量评估鳟鱼(Salvelinus confluentus)的分布。我们使用模型来估计中西部艾伯塔省分水岭的幼年鳟鱼(<= 150毫米叉长)的占有率。基于对92个站点的背包电钓调查,我们评估了溪流栖息地特征对检测概率(p)和虚假缺勤可能性的相对重要性,以偏向占用估计值。到第一次大鳟鱼检测的中距离为16 m(范围为0-289 m)。包括环境水电导率作为检测概率的协变量的模型最受支持,其增加了85μS.cm(-1),导致检测量增加了十倍以上。在电导率约为200μS.cm(-1)的溪流中,使用背包电钓鱼具的条件检测概率在最初的200 m努力中接近95%。在我们的研究区域中,假缺勤的可能性相对较低。建模站点(上限处的(θ)= 0.53; SE = 0.13)和补丁规模(上限处的(psi)= 0.47; SE = 0.12)的占用率与天真(即,假设p = 1)估计(0.47和0.43)非常接近, 分别)。我们的结果强调了在评估鱼类分布时,采用占用模型方法的潜在效率,但必须仔细考虑模型假设。

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