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Optimizing sampling protocol for largemouth bass and bluegill in small impoundments

机译:优化小型蓄水中的大型鲈鱼和蓝鳃的抽样协议

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Fisheries managers need to minimize sampling effort required to provide statistically reliable data for cost effective monitoring and assessment. Shoreline electrofishing methods used to estimate abundance and size structure of largemouth bass (Micropterus salmoides) and bluegill (Lepomis macrochirus) may be affected by seasonal variability of littoral habitat use by these species. A fixed standard of 3 15-minute electrofishing samples did not provide CPUE estimates that we considered precise enoughto consistently use for management decisions on 4 50- to 119-ha Kentucky impoundments. Due to intra-reservoir variability that resulted in occasional over-sampling and, more commonly, under-sampling, we proposed dynamic sample-size protocols that arc unique to each system and derived from reservoir-specific variability. This approach is the equivalent of highly specific stratification by reservoir type and is more consistent with current reservoir-specific management and regulation trends.
机译:渔业经理需要尽量减少提供统计上可靠的数据所需的采样措施,以便进行成本效益监测和评估。用于估计大型鲈鱼(MicroOpterus Sallmoides)和Bluegill(Lepomis Macrochirus)的丰富和尺寸结构的海岸线电扫描方法可能受到这些物种的季节性栖息地使用的季节变异性的影响。固定标准为3个15分钟的电捕获样品并未提供CPUE估计,以至于我们考虑了精确的Enuardo,始终如一地用于4 50至119至119-HA肯塔基蓄污的管理决策。由于储层内变异性,导致偶尔过采样,更常见的是,我们提出了动态样本大小的协议,该协议为每个系统独特,并导出特定于储层的可变性。这种方法相当于储存器类型的高度特定分层,并且与当前的储层特定的管理和调节趋势更加一致。

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