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BALANCE: Silver European Eel escapement success and migration patterns in River Ems
Citatie
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 ;
Beschikbaarheid: Dit werk valt onder volgende licentie http://vocab.nerc.ac.uk/collection/L08/current/MO hierdoor valt het onder embargo tot 2025-09-01
Beschrijving
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 Thema's: Biologie, Biologie > Ecologie - biodiversiteit, Biologie > Vis, Visserij > Visstocks/vangsten/merken Kernwoorden: Zoet water, Brak water, Akoestische Telemetrie, Fishery management, Tracking; het volgen, ANE, Germany, Ems R., Anguilla anguilla (Linnaeus, 1758) Geografische spreiding ANE, Germany, Ems R. [Marine Regions] Spreiding in de tijd
1 September 2020 - 31 December 2022 Taxonomic coverage
Anguilla anguilla (Linnaeus, 1758) [WoRMS]
Bijdrage door
Johann Heinrich von Thünen-Institut; Institute of Fisheries Ecology (Thünen-FI), meer, data creator
Gerelateerde datasets
Maakt deel uit van: European Tracking Network (ETN) data, meer Dataset status: Gestart
Data type: Data
Data oorsprong: Onderzoek: veldexperiment
Metadatarecord aangemaakt: 2021-01-13
Informatie laatst gewijzigd: 2024-11-12
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