Article (Scientific journals)
Development of an accurate model to predict the phenology of Atlantic salmon smolt spring migration
Nils, Teichert; Benitez, Jean-Philippe; Dierckx, Arnaud et al.
2020In Aquatic Conservation, 30, p. 1552-1565
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Keywords :
climate change; disturbance; engineering; fish; hydro ecology; hydropower; migration; river
Abstract :
[en] 1. Changes in migration timing, resulting from the alteration in river continuity or the effect of climate change, can have major consequences on the population dynamics of diadromous fish. Forecasting the phenology of fish migration is thus critically important to implement management actions aimed at protecting fish during their migration. 2. In this study, an 11-year monitoring survey of Atlantic salmon smolts (Salmo salar) from the Ourthe River, Belgium, was analysed within a European Special Area of Conservation to improve the understanding of environment-induced spring migration. A logistic model was fitted to forecast smolt migration and to calculate phenological indicators for management, i.e. the onset, end, and duration of migration, while accounting for the influence of photoperiod, water temperature, and hydrological conditions. 3. The results indicated that the photo-thermal units accumulated by smolts above a 7 C temperature threshold was a relevant proxy to reflect the synergistic effect between temperature and photoperiod on smolt migration. After integrating the effect of river flow pulses, the model accurately explained the inter-annual changes in migration timing (R2 = 0.95). The model predictions provide decisive management information to identify sensitive periods during which mitigation measures (e.g. hydropower turbine shutdown, river discharge management) should be conducted to promote smolt survival. 4. The model was used to predict phenological characteristics under future scenarios of climate change. The results suggest a joint effect of hydrological alterations and water warming. Temperature increases of 1–4 C were associated with earlier initiation of migration, 6–51 days earlier, and spring flood events greatly influenced the duration of the migration period. Accordingly, the combined effects of human-induced modifications of the hydrological regimes and increasing temperatures could result in a mismatch between the smolt and favourable survival conditions in the marine environment.
Research center :
FOCUS - Freshwater and OCeanic science Unit of reSearch - ULiège
AFFISH-RC - Applied and Fundamental FISH Research Center - ULiège
Disciplines :
Environmental sciences & ecology
Author, co-author :
Nils, Teichert;  Station Marine de Dinard, Dinard, France
Benitez, Jean-Philippe  ;  Université de Liège - ULiège > Département de Biologie, Ecologie et Evolution > Laboratoire de Démographie des poissons et hydroécologie
Dierckx, Arnaud ;  Université de Liège - ULiège > Département de Biologie, Ecologie et Evolution > Département de Biologie, Ecologie et Evolution
Tétard, Stéphane;  EDF R&D
De Oliveira, Eric;  EDF R&D
Trancart, Thomas;  Station Marine de Dinard, Dinard, France
Feunteun, Eric;  Station Marine de Dinard, Dinard, France
Ovidio, Michaël  ;  Université de Liège - ULiège > Département de Biologie, Ecologie et Evolution > Laboratoire de Démographie des poissons et hydroécologie
Language :
English
Title :
Development of an accurate model to predict the phenology of Atlantic salmon smolt spring migration
Publication date :
August 2020
Journal title :
Aquatic Conservation
ISSN :
1052-7613
eISSN :
1099-0755
Publisher :
John Wiley & Sons, Hoboken, United States - New Jersey
Volume :
30
Pages :
1552-1565
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 09 March 2020

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