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A Simple Method to Predict Regional Fish Abundance: An Example in the McKenzie River Basin, Oregon

机译:一种简单的预测区域鱼类丰度的方法:以俄勒冈州麦肯齐河流域为例

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摘要

Regional assessments of fisheries resources are increasingly called for, but tools with which to perform them are limited. We present a simple method that can be used to estimate regional carrying capacity and apply it to the McKenzie River Basin, Oregon. First, we use a macroecological model to predict trout densities within small, medium, and large streams in the McKenzie Basin. Next, we evaluate the reliability of the predicted trout densities by comparing them with field-measured densities. We then calculate the total surface areas of small, medium, and large streams within the basin and multiply these surface areas by the predicted trout densities to estimate regional carrying capacity. Predicted carrying capacity within the basin is approximately 2.1 million trout (medianpredicted abundance). Our method requires minimal input data, and much of this data can be compiled from literature sources. The method may therefore have broad utility.
机译:越来越需要对渔业资源进行区域评估,但是执行渔业资源的工具是有限的。我们提出了一种简单的方法,可用于估算区域承载能力,并将其应用于俄勒冈州的麦肯齐河流域。首先,我们使用宏观生态学模型来预测麦肯锡盆地小,中和大溪流中的鳟鱼密度。接下来,我们将鳟鱼密度与实地测得的密度进行比较,以评估其预测的可靠性。然后,我们计算盆地内小溪,中溪和大溪流的总表面积,并将这些表面积乘以预测的鳟鱼密度,以估算区域承载力。流域内的预计承载能力约为210万鳟鱼(中值预测丰度)。我们的方法需要最少的输入数据,并且许多数据可以从文献资料中进行编译。因此,该方法可以具有广泛的用途。

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