Aquat. Living Resour.
Volume 30, 2017
|Number of page(s)||19|
|Published online||10 March 2017|
Silver eel downstream migration in fragmented rivers: use of a Bayesian model to track movements triggering and duration★
Irstea UR EABX,
50 avenue de Verdun,
Cestas Cedex, France
2 Pôle Écohydraulique ONEMA-Irstea-INP, Allée du professeur Camille Soula, 31400 Toulouse, France
⁎ Corresponding author: firstname.lastname@example.org
Accepted: 27 January 2017
Obstacles in rivers are considered to be one of the main threats to diadromous fish. As a result of the recent collapse of the European eel, the European Commission introduced a Regulation, requiring to reduce all sources of anthropogenic mortality, including those caused by passing through hydropower turbines. Improving knowledge about migration triggers and processes is crucial to assess and mitigate the impact of obstacles. In our study, we tracked 97 tagged silver eels in a fragmented river situated in the Western France (the River Dronne). Using the movement ecology framework, and implementing a Bayesian state-space model, we confirmed the influence of river discharge on migration triggering and the distance travelled by fish. We also demonstrated that, in our studied area, there is a small window of opportunity for migration. Moreover, we found that obstacles have a significant impact on distance travelled. Combined with the small window, this suggests that assessment of obstacles impact on downstream migration should not be limited to quantifying mortality at hydroelectric facilities, but should also consider the delay induced by obstacles, and its effects on escapement. The study also suggests that temporary turbines shutdown may mitigate the impacts of hydropower facilities in rivers with migration process similar to those observed here.
Key words: Anguilla anguilla / Silver eel / Migration delay / River fragmentation / Movement ecology / State-space model
Supporting information is only available in electronic form at www.alr-journal.org.
© EDP Sciences 2017
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