Dataset

2014_Nene: Downstream migration of silver eel Anguilla anguilla in the River Nene in 2014

EurOBIS MeasurementOrFact Open in mapper Explore occurrences

There is a paucity of data to assess escapement rates of silver eel from Anglian Northern Rivers. Since eel regulations were introduced in 2007 technology has improved to assist with gaining estimates of this. The River Nene holds a significant eel population; it is also one of the most modified and heavily regulated rivers in the UK. By assessing silver eel migration down the Nene system and subsequent escapement to the North Sea important information on the rivers capability to produce silver eels that are capable of contributing to the spawning stock can be discerned. This will feed back into local and national eel management plans when targeting future eel habitat improvement schemes. Eels used in this study were captured, tagged and released to complete their downstream journey. They were tracked using remote telemetry sensors at set locations at in-river structures.

This is an acoustic telemetry dataset containing animal (fish) tracking data collected for the project 2014_Nene. In total 19 individuals of Anguilla anguilla in their silver eel stage were captured, tagged and released in late 2014. Data have been standardized to Darwin Core using the etn package and are downsampled to the first detection per hour. The original data are managed in the European Tracking Network Data Platform (https://lifewatch.be/etn/).

Citation: Reeds J, Carter L, Bolland J (2026). 2014_Nene: Downstream migration of silver eel Anguilla anguilla in the River Nene in 2014. Version 1.2. Flanders Marine Institute. Occurrence dataset. https://doi.org/10.14284/732

Published: June 08, 2026 at 15:49

First registration: April 30, 2026 at 13:40

License: This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License

URL: https://ipt.vliz.be/eurobis/resource?r=2014_nene

Contacts:

Jake Reeds
Environment Agency

Liam Carter
University of Hull; Hull International Fisheries Institute

Jon Bolland
University of Hull; Hull International Fisheries Institute

506
occurrence records
57
measurements and facts
1
taxa
1
species

Taxa

Missing and invalid fields

Field Missing Invalid
maximumDepthInMeters 506
100.0%
minimumDepthInMeters 506
100.0%

Quality flags

The OBIS data quality flags are documented at https://github.com/iobis/obis-qc.

Flag Dropped Records
NO_DEPTH 506
100.0%
ON_LAND 506
100.0%

Measurement types

DNA derived data