Capturing potential: Leveraging grass carp behavior Ctenopharyngodon idella for enhanced removal

IF 2.4 3区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Journal of Great Lakes Research Pub Date : 2024-05-23 DOI:10.1016/j.jglr.2024.102373
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Abstract

Effective management of invasive species benefits from a comprehensive understanding of the species’ behavior and interactions with the invaded system. We investigated temporal dynamics of telemetry detections and the potential utility of a traitor approach for informing response efforts to the invasive grass carp (Ctenopharyngodon idella) population in the Sandusky River, a major tributary to Lake Erie. Telemetered grass carp exhibited heightened activity at night and early morning, suggesting that capture and removal be more effective during these time periods. Analysis of catch per unit effort (CPUE) across different removal methods, trammel nets, electrofishing, and hoop nets. suggested that incorporating the traitor approach could improve capture. Low catchability values (<0.026), based on the number of telemetered grass carp present in the river on a weekly basis and the number of those telemetered fish captured, suggest the species is difficult to capture. Optimizing response effort efficiency is important and refining catchability estimates will lessen errors in population models and improve interpretation of low CPUE data. Results from generalized additive models suggest capture could be improved using telemetry data, night removals, and by attempting exploratory removal efforts in fall and winter months. By incorporating telemetry data and acknowledging the complexities of grass carp behavior and ecology, we found that a multifaceted and data-driven approach to invasive species control could be beneficial, ultimately promoting conservation and sustainability in dynamic ecosystems like Lake Erie.

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捕捉潜力:利用草鱼行为加强清除工作
全面了解入侵物种的行为以及与入侵系统的相互作用对有效管理入侵物种大有裨益。我们研究了遥测检测的时间动态以及内奸方法的潜在效用,为应对伊利湖主要支流桑达斯基河(Sandusky River)中的入侵草鱼(Ctenopharyngodon idella)种群提供信息。遥测到的草鱼在夜间和清晨活动频繁,这表明在这些时间段捕捉和清除草鱼更为有效。对拖网、电鱼和箍网等不同清除方法的单位努力捕获量(CPUE)分析表明,采用内奸法可以提高捕获效率。根据河流中每周出现的遥测草鱼数量和捕获的遥测草鱼数量计算出的低可捕率值(<0.026)表明,该物种很难捕获。优化响应努力效率非常重要,改进可捕量估计值将减少种群模型中的误差,并改进对低 CPUE 数据的解释。广义加法模型的结果表明,可以利用遥测数据、夜间移除以及在秋冬季节尝试探索性移除来提高捕获率。通过纳入遥测数据并认识到草鱼行为和生态的复杂性,我们发现,以数据为导向的多方面入侵物种控制方法可能是有益的,最终将促进伊利湖等动态生态系统的保护和可持续发展。
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来源期刊
Journal of Great Lakes Research
Journal of Great Lakes Research 生物-海洋与淡水生物学
CiteScore
5.10
自引率
13.60%
发文量
178
审稿时长
6 months
期刊介绍: Published six times per year, the Journal of Great Lakes Research is multidisciplinary in its coverage, publishing manuscripts on a wide range of theoretical and applied topics in the natural science fields of biology, chemistry, physics, geology, as well as social sciences of the large lakes of the world and their watersheds. Large lakes generally are considered as those lakes which have a mean surface area of >500 km2 (see Herdendorf, C.E. 1982. Large lakes of the world. J. Great Lakes Res. 8:379-412, for examples), although smaller lakes may be considered, especially if they are very deep. We also welcome contributions on saline lakes and research on estuarine waters where the results have application to large lakes.
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