Smolt outmigration timing in Norway ...

Aim - Accurate predictions about transition timing of salmon smolts between freshwater and marine environments are key to effective management. We aimed to use available data on Atlantic salmon smolt migration to predict the emigration timing in rivers throughout Norway. Location - In this study, we...

Full description

Bibliographic Details
Main Authors: Lennox, Robert, Vollset, Knut, Ugedal, Ola, Lamberg, Anders, Skaala, Øystein, Sandvik, Anne, Saegrov, Harald, Kristiensen, Torstein, Jensen, Arne, Haraldstad, Tormond, Barlaup, Bjørn
Format: Dataset
Language:English
Published: Dryad 2021
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.p2ngf1vq9
https://datadryad.org/stash/dataset/doi:10.5061/dryad.p2ngf1vq9
id ftdatacite:10.5061/dryad.p2ngf1vq9
record_format openpolar
spelling ftdatacite:10.5061/dryad.p2ngf1vq9 2023-12-31T10:04:46+01:00 Smolt outmigration timing in Norway ... Lennox, Robert Vollset, Knut Ugedal, Ola Lamberg, Anders Skaala, Øystein Sandvik, Anne Saegrov, Harald Kristiensen, Torstein Jensen, Arne Haraldstad, Tormond Barlaup, Bjørn 2021 https://dx.doi.org/10.5061/dryad.p2ngf1vq9 https://datadryad.org/stash/dataset/doi:10.5061/dryad.p2ngf1vq9 en eng Dryad Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 FOS Biological sciences Dataset dataset 2021 ftdatacite https://doi.org/10.5061/dryad.p2ngf1vq9 2023-12-01T12:06:09Z Aim - Accurate predictions about transition timing of salmon smolts between freshwater and marine environments are key to effective management. We aimed to use available data on Atlantic salmon smolt migration to predict the emigration timing in rivers throughout Norway. Location - In this study, we used data outmigration timing data of Atlantic salmon (Salmo salar) smolts from 41 rivers collected from 1984-2018 to make a predictive model for the timing of out-migrating salmon smolts along 12 degrees latitude. Methods - Smolt migration data were collated from rivers where smolts are monitored with traps, video, and tagging and matched to river-specific metadata. Using a mixed effect generalized additive model, we tested for effects of spatial location, air temperature, river flow, and counting methods on the timing of 25% smolt emigration from rivers. Results - After accounting for spatial effects and repeated measurements (across years and among rivers), air temperature and counting method were significant ... : Data Collection Smolt migration data The goal of our study was to collate available smolt migration data from Norway, in an attempt to make a predictive model of the timing of smolt migration in this area. Data were extracted from three sources. (1) published scientific articles, (2) Norwegian reports, and (3) unpublished data available from the authors’ research institutions. Data were updated from previous compilations using the same methodology (Ugedal et al. 2014). The database does not contain daily counts but summarizes the timing of smolt emigration by percentiles, recording the dates of 25% passage, 50% passage, and 75% passage (Table 1). Smolt migration was monitored in 348 river years, comprising 47 rivers between 58.02 and 70.50 degrees latitude from 1984-2018 (Figure 1). Monitoring was conducted using different methods of observation: traps (N = 252 river years), video counting (N = 84 river years), and tagging (N = 12 river years). Note Eio and Vigda are the only two rivers that had multiple ... Dataset Atlantic salmon Salmo salar DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic FOS Biological sciences
spellingShingle FOS Biological sciences
Lennox, Robert
Vollset, Knut
Ugedal, Ola
Lamberg, Anders
Skaala, Øystein
Sandvik, Anne
Saegrov, Harald
Kristiensen, Torstein
Jensen, Arne
Haraldstad, Tormond
Barlaup, Bjørn
Smolt outmigration timing in Norway ...
topic_facet FOS Biological sciences
description Aim - Accurate predictions about transition timing of salmon smolts between freshwater and marine environments are key to effective management. We aimed to use available data on Atlantic salmon smolt migration to predict the emigration timing in rivers throughout Norway. Location - In this study, we used data outmigration timing data of Atlantic salmon (Salmo salar) smolts from 41 rivers collected from 1984-2018 to make a predictive model for the timing of out-migrating salmon smolts along 12 degrees latitude. Methods - Smolt migration data were collated from rivers where smolts are monitored with traps, video, and tagging and matched to river-specific metadata. Using a mixed effect generalized additive model, we tested for effects of spatial location, air temperature, river flow, and counting methods on the timing of 25% smolt emigration from rivers. Results - After accounting for spatial effects and repeated measurements (across years and among rivers), air temperature and counting method were significant ... : Data Collection Smolt migration data The goal of our study was to collate available smolt migration data from Norway, in an attempt to make a predictive model of the timing of smolt migration in this area. Data were extracted from three sources. (1) published scientific articles, (2) Norwegian reports, and (3) unpublished data available from the authors’ research institutions. Data were updated from previous compilations using the same methodology (Ugedal et al. 2014). The database does not contain daily counts but summarizes the timing of smolt emigration by percentiles, recording the dates of 25% passage, 50% passage, and 75% passage (Table 1). Smolt migration was monitored in 348 river years, comprising 47 rivers between 58.02 and 70.50 degrees latitude from 1984-2018 (Figure 1). Monitoring was conducted using different methods of observation: traps (N = 252 river years), video counting (N = 84 river years), and tagging (N = 12 river years). Note Eio and Vigda are the only two rivers that had multiple ...
format Dataset
author Lennox, Robert
Vollset, Knut
Ugedal, Ola
Lamberg, Anders
Skaala, Øystein
Sandvik, Anne
Saegrov, Harald
Kristiensen, Torstein
Jensen, Arne
Haraldstad, Tormond
Barlaup, Bjørn
author_facet Lennox, Robert
Vollset, Knut
Ugedal, Ola
Lamberg, Anders
Skaala, Øystein
Sandvik, Anne
Saegrov, Harald
Kristiensen, Torstein
Jensen, Arne
Haraldstad, Tormond
Barlaup, Bjørn
author_sort Lennox, Robert
title Smolt outmigration timing in Norway ...
title_short Smolt outmigration timing in Norway ...
title_full Smolt outmigration timing in Norway ...
title_fullStr Smolt outmigration timing in Norway ...
title_full_unstemmed Smolt outmigration timing in Norway ...
title_sort smolt outmigration timing in norway ...
publisher Dryad
publishDate 2021
url https://dx.doi.org/10.5061/dryad.p2ngf1vq9
https://datadryad.org/stash/dataset/doi:10.5061/dryad.p2ngf1vq9
genre Atlantic salmon
Salmo salar
genre_facet Atlantic salmon
Salmo salar
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_doi https://doi.org/10.5061/dryad.p2ngf1vq9
_version_ 1786836190225235968