"Impact of environmental conditions on the spawning migration of sea trout (Salmo trutta L.) in two large, sub-arctic river systems"

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: [e-mail], [e-mail] 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## 摘要 全球鲑科鱼类种群的衰退提升了对鲑科鱼类本地适应性与生活史策略相关知识的需求。本研究利用两条大型高纬度河流中海鳟种群的无线电遥测追踪数据，构建了海鳟溯河产卵洄游速度模型，以分析其对当前环境条件及洄游不同阶段的响应。结果显示，研究涉及的两个种群对环境变化的响应模式相似：栖息于两条河流的海鳟对径流量、水温变化及洄游距离的响应趋势一致。较高的径流量与水温对海鳟洄游速度具有正向影响，适度的径流量波动同样如此。洄游距离会影响移动速率：海鳟溯河而上时洄游速度逐渐提升，而临近产卵前的洄游后期阶段速度会下降。上述结果凸显了海鳟种群的适应性，同时强调了针对种群特异性的栖息地利用与洄游策略信息，对开展针对性管理的重要性。 ## 数据集基本信息 ### 数据集标题：《环境条件对两条大型亚北极河系中海鳟（*Salmo trutta* L.）产卵洄游的影响》 ### DOI：10.17632/6w9c6c7sst.1 ### 联系方式 项目负责人：Linus Lähteenmäki 所属机构：奥博学术大学（Åbo Akademi University） 地址：芬兰奥博，Aurum，Henriksgatan 2–20520 邮箱：[e-mail]、[e-mail] ORCID：https://orcid.org/0000-0002-3931-3595 ### 数据采集日期（大致时间）：2011年4月1日 — 2021年12月31日 ### 数据采集地理区域： 泰诺河系（Teno river system，北纬70.5°，东经28.4°）；托尔尼奥河系（Tornio river system，北纬65.8°，东经24.1°） ### 数据集包含内容： 1. 两条河系中海鳟实测洄游速度数据集，包含本研究广义加性混合模型（GAMM）分析所用的环境与洄游特征数据（data_large）； 2. 研究时段的环境数据，用于重建流量与水温相关图表（env_data）； 3. 种群数据集，包含个体鱼类测量数据与洄游特征信息（pop_data）； 4. 用于复现本研究洄游模式图的6尾个体数据集（migration_fig）。 ### 数据集推荐引用格式： Lähteenmäki, L., Romakkaniemi, A., Huusko, R., Hellström, G., Orell, P., Erkinaro, J., Rikardsen, A. H., Jensen, J., & Snickars, M. (2026). 数据来自：《环境条件对两条大型亚北极河系中海鳟（*Salmo trutta* L.）产卵洄游的影响》. Mendeley 数据, V1, doi: 10.17632/6w9c6c7sst.1 本研究数据分析与可视化生成所用的全部数据集均已上传至本仓库，详细数据集内容请查看"README"文件。