"Impact of environmental conditions on the spawning migration of sea trout (Salmo trutta L.) in two large, sub-arctic river systems"
Description
Abstract The global decline in salmonid stocks has increased the need for knowledge of local adaptations, and life history strategies of salmonids. In this study we used radio-telemetry tracking data from sea trout populations in two large high-latitude rivers to model upstream spawning migration speed of trout in response to prevailing environmental conditions and different stages of the migration. The results indicate that studied populations had similar responses to environmental changes, as trout inhabiting both rivers displayed similar responses to variation in discharge, temperature and migrated distance covered. Higher discharge and temperature had a positive influence on trout migration speed, as did moderate discharge fluctuations. Migration distance influenced movements, as speed increased as trout moved upstream, while speed decreased late in the migration prior to spawning. These results highlight the adaptability of sea trout populations, underlining the importance of stock specific information on habitat use and migration strategies for targeted management. General information Title of Dataset: "Impact of environmental conditions on the spawning migration of sea trout (Salmo trutta L.) in two large, sub-arctic river systems" DOI: 10.17632/6w9c6c7sst.1 Contact Information: Principal Investigator Contact Information Name: Linus Lähteenmäki Institution: Åbo Akademi University Address: Aurum, Henriksgatan 2–20520 Åbo, Finland, Email: linus.lahteenmaki@abo.fi, linus.lahteenmaki@gmail.com ORCID:https://orcid.org/0000-0002-3931-3595 Date of data collection (approximate date): 01-04-2011 - 31-12-2021 Geographic location of data collection: Teno river system (70.5° N, 28.4° E); Tornio river system (65.8° N, 24.1°E) Dataset includes: Dataset on measured migration speed of sea trout in the two river systems, including environmental and migration characteristics used in the GAMM Analysis (data_large). Environmental data for the study periods to recreate flow and temperature figures (env_data). Population data which include individual fish measurements and migration characteristics (pop_data). Dataset of six individuals to recreate the migration patterns figure of the study (migration_fig). Recommended citation for this dataset: Lähteenmäki, L., Romakkaniemi, A., Huusko, R., Hellström, G., Orell, P., Erkinaro, J., Rikardsen, A. H., Jensen, J., & Snickars, M. (2026). Data for: "Impact of environmental conditions on the spawning migration of sea trout (Salmo trutta L.) in two large, sub-arctic river systems". Mendeley Data, V1, doi: 10.17632/6w9c6c7sst.1 All datasets used in the data analysis and generation of the visualizations for this study are provided in this repository. Please view the "READ ME" file For more detailed information on dataset contents
Files
Steps to reproduce
The dataset contains radio telemetry derived movement data of sea trout tagged in the Tornio (2019-2022) and Teno (2011-2014) river systems. Sea trout movement data was compiled into two separate analysis, one focusing on the spawning migration characteristics of mature migrants, and the other on analysing movement speed (km day-1) of sea trout during upstream spawning migration using General Additive Mixed Models (GAMM). The repository contains all data used in the analysis of migration characteristics, and analysis of movement speed. The dataset includes coordinate data for observations of sea trout movements, estimated spawning- and overwintering locations in the river systems as well as time and date of each observation. The coordinate data were used to calculate migration distances (migrated km upstream from the sea), movement distance between observations (km) and migrated proportion (%) of the total distance migrated. Time and date of observations were used to calculate elapsed time between observations (days). A movement speed measure (km day-1) was calculated for each observation by dividing migrated distance between observations (km) with the elapsed time (days). To examine the impact of environmental conditions on the behaviour of trout, river discharge (m3s-1) and temperature (°C) data were gathered in the field during the studies, and supplemented with data from the Finnish Environmental Institutes (SYKE) environmental database. The movement speed measurements (km day-1) were used as the response variable in the migration activity model (Generalized additive mixed models (GAMM)) , while the predictors used in model generation were discharge (m3s-1), temperature at observation (°C), change in discharge/temperature between observations (%) and proportion of total distance migrated at observation (%). We developed a mixed model to treat Individual as a random effect to account for pseudo-replication due to repeated measures at the level of individual.
Institutions
- Abo AkademiAbo
Categories
Funders
- Kempe FoundationSweden
- Åbo Akademi UniversityFinland