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BALANCE: Silver European Eel escapement success and migration patterns in River Ems
Citation
Höhne, L.; Freese, M.; Marohn, L.; Pohlmann, J.D. (2020) Silver European Eel escapement success and migration patterns in River Ems. https://marineinfo.org/id/dataset/6634
Contact:
Höhne, Leander ;
Availability: This work is licensed under http://vocab.nerc.ac.uk/collection/L08/current/MO meaning it is under moratorium until 2025-09-01
Description
The BALANCE project combines a “mark-recapture” study approach and acoustic telemetry in order to get a robust quantification of the actual silver eel escapement from River Ems. The use of acoustic telemetry enables us to separate eels that start or continue their seaward migration after tagging from those that stay resident in the system before migrating at a later stage. The actual silver eel escapement is estimated from the proportion of migrating, individually marked fish in the total catch of a fishing gear. Acoustic receiver stations along the river provide insights into the migratory behaviour depending on the degree of maturation of the silver eels and allow the identification of local migration obstacles (e.g., through navigation locks). Moreover, the influence of environmental parameters (e.g., temperature, moon phase and river discharge) on the migratory behaviour will be analysed to enable predictions of the timing and magnitude of eel migration using environmental data. Scope Themes: Biology, Biology > Ecology - biodiversity, Biology > Fish, Fisheries > Fish stocks/catches/taggings Keywords: Fresh water, Brackish water, Acoustic Telemetry, Fishery management, Tracking, ANE, Germany, Ems R., Anguilla anguilla (Linnaeus, 1758) Geographical coverage ANE, Germany, Ems R. [Marine Regions] Temporal coverage
1 September 2020 - 31 December 2022 Taxonomic coverage
Anguilla anguilla (Linnaeus, 1758) [WoRMS]
Contributors
Johann Heinrich von Thünen-Institut; Institute of Fisheries Ecology (Thünen-FI), more, data creator
Related datasets
Parent dataset: European Tracking Network (ETN) data, more Dataset status: In Progress
Data type: Data
Data origin: Research: field experiment
Metadatarecord created: 2021-01-13
Information last updated: 2024-11-12
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