Monitoring Atlantic Salmon (Salmo salar) Smolt Migration in a Large River System Using Environmental DNA

IF 6.2 Q1 Agricultural and Biological Sciences Environmental DNA Pub Date : 2025-04-01 DOI:10.1002/edn3.70087
Louarn Fauchet, Martin Laporte, Isabeau-Caza Allard, Jean-Sébastien Moore, Nicolas Derôme, Julien April, Louis Bernatchez
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Abstract

Effective monitoring strategies are key for aquatic species conservation, but traditional methods often require significant resources, especially in large aquatic systems. The emergence of quantitative environmental DNA (eDNA) is a promising alternative. Yet, few studies have evaluated the possibility of quantifying Atlantic salmon abundance with eDNA when individuals are at low abundance and occur in large river systems. In this study, we tested the efficacy of eDNA to monitor and quantify daily variation in smolt counts during their downstream migration in a large river system with low abundance of smolts. During the 2021 and 2022 downstream migrations, trap nets were used to conduct a daily census of smolts in the Romaine and Puyjalon rivers (Québec, Canada) while eDNA samples were collected daily over a transect perpendicular to the riverbank. Using quantitative real-time qPCR, we showed that discharge-corrected eDNA concentrations were positively correlated with daily smolt counts for both years. In addition, we found that controlling for temperature and precipitation improved model transferability between years, showing the importance of considering environmental correlates when using eDNA for abundance quantification. Finally, smolt counts were correlated with eDNA concentrations on the same day, but not with eDNA concentrations 1 or 2 days prior, highlighting the capacity of the model to track daily fluctuations in smolt abundance. Our results underscore the potential of using eDNA to monitor Atlantic salmon in large river systems with low smolt abundance when the river hydrology and environmental conditions are documented.

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利用环境DNA监测大型河流系统中大西洋鲑鱼(Salmo salar)幼崽的迁移
有效的监测策略是水生物种保护的关键,但传统方法往往需要大量资源,特别是在大型水生系统中。定量环境DNA (eDNA)的出现是一种很有前途的替代方法。然而,很少有研究评估了当个体在低丰度和大型河流系统中出现时,用eDNA量化大西洋鲑鱼丰度的可能性。在这项研究中,我们测试了eDNA在小鲑鱼低丰度的大型河流系统下游迁移过程中监测和量化小鲑鱼数量每日变化的功效。在2021年和2022年的下游迁徙期间,使用诱捕网对罗曼河和普雅龙河(加拿大quacimenbec)的幼鱼进行每日普查,同时在垂直于河岸的样带上每天收集eDNA样本。通过实时定量qPCR,研究人员发现,两年来,放电校正后的eDNA浓度与每日幼崽数呈正相关。此外,我们发现控制温度和降水可以改善模型在年份之间的可转移性,这表明在使用eDNA进行丰度量化时考虑环境相关因素的重要性。最后,幼崽数量与当天的eDNA浓度相关,但与1或2天前的eDNA浓度无关,这突出了该模型追踪幼崽丰度每日波动的能力。我们的研究结果强调了在记录了河流水文和环境条件的情况下,利用eDNA监测低孵卵丰度的大型河流系统中的大西洋鲑鱼的潜力。
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来源期刊
Environmental DNA
Environmental DNA Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
11.00
自引率
0.00%
发文量
99
审稿时长
16 weeks
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