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Designing a Monitoring Program to Estimate Estuarine Survival of Anadromous Salmon Smolts: Simulating the Effect of Sample Design on Inference

机译:设计一个监测程序以估计鲑鱼鲑的河口存活:模拟推论样本设计的影响

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摘要

A number of researchers have attempted to estimate salmonid smolt survival during outmigration through an estuary. However, it is currently unclear how the design of such studies influences the accuracy and precision of survival estimates. In this simulation study we consider four patterns of smolt survival probability in the estuary, and test the performance of several different sampling strategies for estimating estuarine survival assuming perfect detection. The four survival probability patterns each incorporate a systematic component (constant, linearly increasing, increasing and then decreasing, and two pulses) and a random component to reflect daily fluctuations in survival probability. Generally, spreading sampling effort (tagging) across the season resulted in more accurate estimates of survival. All sampling designs in this simulation tended to under-estimate the variation in the survival estimates because seasonal and daily variation in survival probability are not incorporated in the estimation procedure. This under-estimation results in poorer performance of estimates from larger samples. Thus, tagging more fish may not result in better estimates of survival if important components of variation are not accounted for. The results of our simulation incorporate survival probabilities and run distribution data from previous studies to help illustrate the tradeoffs among sampling strategies in terms of the number of tags needed and distribution of tagging effort. This information will assist researchers in developing improved monitoring programs and encourage discussion regarding issues that should be addressed prior to implementation of any telemetry-based monitoring plan. We believe implementation of an effective estuary survival monitoring program will strengthen the robustness of life cycle models used in recovery plans by providing missing data on where and how much mortality occurs in the riverine and estuarine portions of smolt migration. These data could result in better informed management decisions and assist in guidance for more effective estuarine restoration projects.
机译:许多研究人员试图通过河口估计出鲑鱼在迁徙过程中的存活。但是,目前尚不清楚此类研究的设计如何影响生存估计的准确性和准确性。在此模拟研究中,我们考虑了河口中软体动物生存概率的四种模式,并假设完美检测,测试了几种不同采样策略在估计河口生存方面的性能。四个生存概率模式每个都包含一个系统成分(恒定,线性增加,增加然后减少以及两个脉冲)和一个随机成分,以反映生存概率的每日波动。通常,在整个季节中分散采样工作(标记)会导致更准确的生存估计。由于无法将生存概率的季节性和每日变化纳入估算程序,因此该模拟中的所有抽样设计都倾向于低估生存估算的变化。这种低估会导致来自较大样本的估计性能较差。因此,如果不考虑重要的变异因素,则标记更多的鱼类可能无法更好地估计存活率。我们的模拟结果结合了先前研究的生存概率和运行分布数据,以帮助说明在抽样策略之间需要权衡的标签数量和标签工作量之间的权衡。这些信息将帮助研究人员制定改进的监视程序,并鼓励讨论在实施任何基于遥测的监视计划之前应解决的问题。我们认为,实施有效的河口生存监测计划将通过提供有关蜕皮动物迁移的河流和河口部分发生死亡的地点和数量的缺失数据,来增强恢复计划中使用的生命周期模型的稳健性。这些数据可以导致更明智的管理决策,并为更有效的河口修复项目提供指导。

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