Validation of a Swimming Direction Model for the Downstream Migration of Atlantic Salmon Smolts
Fish swimming performance is strongly influenced by flow hydrodynamics, but little is known about the relation between fine-scale fish movements and hydrodynamics based on in-situ investigations. In the presented study, we validated the etho-hydraulic fish swimming direction model presented in the R...
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2021-04-01
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author | Marcell Szabo-Meszaros Ana T. Silva Kim M. Bærum Henrik Baktoft Knut Alfredsen Richard D. Hedger Finn Økland Karl Ø. Gjelland Hans-Petter Fjeldstad Olle Calles Torbjørn Forseth |
author_facet | Marcell Szabo-Meszaros Ana T. Silva Kim M. Bærum Henrik Baktoft Knut Alfredsen Richard D. Hedger Finn Økland Karl Ø. Gjelland Hans-Petter Fjeldstad Olle Calles Torbjørn Forseth |
author_sort | Marcell Szabo-Meszaros |
collection | DOAJ |
description | Fish swimming performance is strongly influenced by flow hydrodynamics, but little is known about the relation between fine-scale fish movements and hydrodynamics based on in-situ investigations. In the presented study, we validated the etho-hydraulic fish swimming direction model presented in the River Mandal from Southern Norway, using similar behavioral and hydraulic data on salmon smolts from the River Orkla in Central Norway. The re-parametrized model explained the variation of the swimming direction of fish in the Orkla system in same degree as the original model performed in the Mandal system (R<sup>2</sup>: 84% in both cases). The transferability of the model when using it from one river to predict swimming direction in the other river was lower (R<sup>2</sup>: 21% and 26%), but nevertheless relatively high given that the two localities differed in hydraulic conditions. The analyses thus provide support for the fact that the identified hydraulic parameters and their interaction affected smolt behavior in a similar way at the two sites, but that local parametrization of the base model is required. The developed etho-hydraulic models can provide important insights into fish behavior and fish migration trajectories and can be developed into prediction models important for the future development of behavioral downstream migration solutions. |
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language | English |
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spelling | doaj.art-ec57d336c64a44429bffa487002b9f9c2023-11-21T17:40:20ZengMDPI AGWater2073-44412021-04-01139123010.3390/w13091230Validation of a Swimming Direction Model for the Downstream Migration of Atlantic Salmon SmoltsMarcell Szabo-Meszaros0Ana T. Silva1Kim M. Bærum2Henrik Baktoft3Knut Alfredsen4Richard D. Hedger5Finn Økland6Karl Ø. Gjelland7Hans-Petter Fjeldstad8Olle Calles9Torbjørn Forseth10Department of Civil and Environmental Engineering, Norwegian University of Science and Technology, S. P. Andersens 5, 7491 Trondheim, NorwayNorwegian Institute for Nature Research (NINA), Høgskoleringen 9, 7043 Trondheim, NorwayNorwegian Institute of Nature Research (NINA), Fakkelgården, 2624 Lillehammer, NorwayNational Institute of Aquatic Resources, Technical University of Denmark, 8600 Silkeborg, DenmarkDepartment of Civil and Environmental Engineering, Norwegian University of Science and Technology, S. P. Andersens 5, 7491 Trondheim, NorwayNorwegian Institute for Nature Research (NINA), Høgskoleringen 9, 7043 Trondheim, NorwayNorwegian Institute for Nature Research (NINA), Høgskoleringen 9, 7043 Trondheim, NorwayNorwegian Institute for Nature Research (NINA), Hjalmar Johansens gate 14, 9007 Tromsø, NorwaySINTEF Energy Research, Sem Sælandsvei 11, 7048 Trondheim, NorwayRiver Ecology and Management Research Group RivEM, Department of Environmental and Life Sciences, Karlstad University, 651 88 Karlstad, SwedenNorwegian Institute for Nature Research (NINA), Høgskoleringen 9, 7043 Trondheim, NorwayFish swimming performance is strongly influenced by flow hydrodynamics, but little is known about the relation between fine-scale fish movements and hydrodynamics based on in-situ investigations. In the presented study, we validated the etho-hydraulic fish swimming direction model presented in the River Mandal from Southern Norway, using similar behavioral and hydraulic data on salmon smolts from the River Orkla in Central Norway. The re-parametrized model explained the variation of the swimming direction of fish in the Orkla system in same degree as the original model performed in the Mandal system (R<sup>2</sup>: 84% in both cases). The transferability of the model when using it from one river to predict swimming direction in the other river was lower (R<sup>2</sup>: 21% and 26%), but nevertheless relatively high given that the two localities differed in hydraulic conditions. The analyses thus provide support for the fact that the identified hydraulic parameters and their interaction affected smolt behavior in a similar way at the two sites, but that local parametrization of the base model is required. The developed etho-hydraulic models can provide important insights into fish behavior and fish migration trajectories and can be developed into prediction models important for the future development of behavioral downstream migration solutions.https://www.mdpi.com/2073-4441/13/9/1230etho-hydraulics2D telemetryCFD modeling |
spellingShingle | Marcell Szabo-Meszaros Ana T. Silva Kim M. Bærum Henrik Baktoft Knut Alfredsen Richard D. Hedger Finn Økland Karl Ø. Gjelland Hans-Petter Fjeldstad Olle Calles Torbjørn Forseth Validation of a Swimming Direction Model for the Downstream Migration of Atlantic Salmon Smolts Water etho-hydraulics 2D telemetry CFD modeling |
title | Validation of a Swimming Direction Model for the Downstream Migration of Atlantic Salmon Smolts |
title_full | Validation of a Swimming Direction Model for the Downstream Migration of Atlantic Salmon Smolts |
title_fullStr | Validation of a Swimming Direction Model for the Downstream Migration of Atlantic Salmon Smolts |
title_full_unstemmed | Validation of a Swimming Direction Model for the Downstream Migration of Atlantic Salmon Smolts |
title_short | Validation of a Swimming Direction Model for the Downstream Migration of Atlantic Salmon Smolts |
title_sort | validation of a swimming direction model for the downstream migration of atlantic salmon smolts |
topic | etho-hydraulics 2D telemetry CFD modeling |
url | https://www.mdpi.com/2073-4441/13/9/1230 |
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