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Less effort but equal result: Introducing the daily run-size estimation method for quantifying fish passage in fishways

机译:较少的努力,但等于结果:引入用于量化鱼道中鱼通道的日常润尺寸估计方法

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Determining the number of fish that use a fishway is essential to fisheries management but counting all fish can be impracticable due to labor and cost. We present the daily run-size estimation (DARSE) method, which uses systematic sampling to estimate the number of fish per species that pass through a fishway daily (daily run size, D). The DARSE method makes it possible to determine the minimum fraction of each hour (or hourly samples) of the day necessary to estimate D with known accuracy. We apply DARSE to each of the seven most abundant fish species (other species grouped under ‘Others’) recorded in video images taken during 46 days of one year at the Igarapava Fish Ladder, Brazil. Accuracy in estimating D was influenced by the fraction of the hour sampled and the temporal pattern of fish passage through the fishway. For species with a more uniform temporal pattern of passage, the DARSE method reduced the time spent on sampling by up to 96%, depending on the accuracy used to estimate D. Some of these species required counts of fish that pass in a fraction of an hour for all hours of the day while counts for other species can be done every 2 hours or, more rarely, every 3 hours. For species with a more aggregated temporal pattern of passage, it was possible to estimate D by sampling a fraction of an hour but with reduced accuracy in the estimation of D and little reduction in sampling time.
机译:确定使用鱼类道的鱼数对渔业管理至关重要,但计算所有鱼类因劳动力和成本而言可能是不切实际的。我们介绍了每日运行规模估计(DARSE)方法,该方法使用系统采样来估计每种物种通过鱼道(日常运行大小)的鱼类的鱼类数量。 Darse方法使得可以确定以已知精度估计D所需的日期的每小时(或每小时样本)的最小分数。我们将Darse应用于七种最丰富的鱼类中的每一个(在其他物种中被录制的其他物种)记录在Igarapava Fish Ladder,巴西46天的视频图像中。估计D的准确性受到了通过鱼道采样的时间分数和鱼通道的时间图案的影响。对于具有更均匀的透气模式的物种,Darse方法减少了在采样时间上花费高达96%的时间,这取决于用于估计D的准确性。其中一些物种所需的鱼类计数在一小部分中一天中所有时间的小时,虽然其他物种的计数每2小时可以每2小时完成,或者每3小时更少。对于具有更聚合的通道的物种,可以通过抽出一小时的一小部分,但在D的估计中的精度降低并且取样时间几乎没有降低,可以估计d。

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