关键词: Acoustic Telemetry Bighead Carp Bigheaded Carps Invasive Carps Movement Silver Carp

Mesh : Animals Bayes Theorem Telemetry / methods instrumentation veterinary Carps / physiology Introduced Species Rivers Illinois Animal Migration / physiology

来  源:   DOI:10.7717/peerj.17834   PDF(Pubmed)

Abstract:
Understanding the movement patterns of an invasive species can be a powerful tool in designing effective management and control strategies. Here, we used a Bayesian multistate model to investigate the movement of two invasive carp species, silver carp (Hypophthalmichthys molitrix) and bighead carp (H. nobilis), using acoustic telemetry. The invaded portions of the Illinois and Des Plaines Rivers, USA, are a high priority management zone in the broader efforts to combat the spread of invasive carps from reaching the Laurentian Great Lakes. Our main objective was to characterize the rates of upstream and downstream movements by carps between river pools that are maintained by navigation lock and dam structures. However, we also aimed to evaluate the efficacy of the available telemetry infrastructure to monitor carp movements through this system. We found that, on a monthly basis, most individuals of both species remained within their current river pools: averaging 76.2% of silver carp and 75.5% of bighead carp. Conversely, a smaller proportion of silver carp, averaging 14.2%, and bighead carp, averaging 13.9%, moved to downstream river pools. Movements towards upstream pools were the least likely for both species, with silver carp at an average of 6.7% and bighead carp at 7.9%. The highest probabilities for upstream movements were for fish originating from the three most downstream river pools, where most of the population recruitment occurs. However, our evaluation of the telemetry array\'s effectiveness indicated low probability to detect fish in this portion of the river. We provide insights to enhance the placement and use of these monitoring tools, aiming to deepen our comprehension of these species\' movement patterns in the system.
摘要:
了解入侵物种的运动模式可以成为设计有效管理和控制策略的强大工具。这里,我们使用贝叶斯多状态模型来研究两种入侵鲤鱼的运动,silver鱼(下眼鱼)和big鱼(H.nobilis),使用声学遥测。伊利诺斯州和得普兰斯河的入侵部分,美国,在更广泛的努力中,是一个高度优先的管理区,以防止入侵鲤鱼传播到劳伦大湖区。我们的主要目标是表征由船闸和大坝结构维持的水池之间的鲤鱼的上游和下游运动速率。然而,我们还旨在评估通过该系统监测鲤鱼运动的现有遥测基础设施的有效性。我们发现,每月一次,这两个物种的大多数个体都保留在当前的水池中:平均76.2%的silver鱼和75.5%的big鱼。相反,鲤鱼的比例较小,平均14.2%,还有Bighead鲤鱼,平均13.9%,搬到了下游的河池.对于这两个物种来说,向上游池的移动是最不可能的,其中鲤鱼平均占6.7%,Bighead鱼平均占7.9%。上游运动的最高概率是来自三个最下游河池的鱼类,大多数人口招募发生的地方。然而,我们对遥测阵列有效性的评估表明,在这部分河流中检测到鱼类的可能性很低。我们提供见解,以增强这些监控工具的放置和使用,旨在加深我们对这些物种在系统中的运动模式的理解。
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