Application of EDA (v 2.0) to Ireland: prediction of silver eel Anguilla anguilla escapement

Eel Density Analysis (EDA) is a modelling framework that can be used to estimate eel populations in aquatic habitats. Survey data (primarily electrofishing operations) are used to build predictive models describing the presence/absence and the density of eel. These models are then applied to the ent...

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Main Authors: de Eyto, E., Briand, C., Poole, R., O'Leary, C., Kelly, F.
Format: Report
Language:English
Published: Marine Institute 2016
Subjects:
Online Access:http://hdl.handle.net/10793/1144
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spelling ftmarineinst:oai:oar.marine.ie:10793/1144 2023-05-15T13:27:45+02:00 Application of EDA (v 2.0) to Ireland: prediction of silver eel Anguilla anguilla escapement de Eyto, E. Briand, C. Poole, R. O'Leary, C. Kelly, F. 2016 http://hdl.handle.net/10793/1144 en eng Marine Institute Irish Fisheries Investigations; de Eyto, E., Briand, C., Poole, R., O'Leary,C. & Kelly, F. (2016). Application of EDA (v 2.0) to Ireland: prediction of silver eel Anguilla anguilla escapement. Irish Fisheries Investigations, No. 27, Marine Institute http://hdl.handle.net/10793/1144 yellow eel silver eel production model density escapement Technical Report 2016 ftmarineinst 2022-07-27T09:39:13Z Eel Density Analysis (EDA) is a modelling framework that can be used to estimate eel populations in aquatic habitats. Survey data (primarily electrofishing operations) are used to build predictive models describing the presence/absence and the density of eel. These models are then applied to the entire network of aquatic habitat in the area of interest to estimate the total population size. The fluvial (riverine) population of yellow eel in Ireland was estimated using the EDA (v2.0) model (Jouanin et al., 2012). A total fluvial population of 8,032,834 yellow eels and 200,821 silver eels (using a silvering rate of 2.5%) was estimated for 2011. Eel presence and abundance decreased as the distance to the sea increased, and the percentage of calcareous geology in the catchments decreased. Stock indictors (B0, Bbest and Bcurrent) were calculated from these yellow eel estimates to enable the display of precautionary diagrams for each EMU in Ireland. Lake production was also calculated for 2011, using empirical data from a small number of catchments. A precautionary diagram for this total production (fluvial and lacustrine habitat) is presented, and compared with previous estimates of stock indicators for Ireland. Report Anguilla anguilla Marine Institute Open Access Repository
institution Open Polar
collection Marine Institute Open Access Repository
op_collection_id ftmarineinst
language English
topic yellow eel
silver eel
production model
density
escapement
spellingShingle yellow eel
silver eel
production model
density
escapement
de Eyto, E.
Briand, C.
Poole, R.
O'Leary, C.
Kelly, F.
Application of EDA (v 2.0) to Ireland: prediction of silver eel Anguilla anguilla escapement
topic_facet yellow eel
silver eel
production model
density
escapement
description Eel Density Analysis (EDA) is a modelling framework that can be used to estimate eel populations in aquatic habitats. Survey data (primarily electrofishing operations) are used to build predictive models describing the presence/absence and the density of eel. These models are then applied to the entire network of aquatic habitat in the area of interest to estimate the total population size. The fluvial (riverine) population of yellow eel in Ireland was estimated using the EDA (v2.0) model (Jouanin et al., 2012). A total fluvial population of 8,032,834 yellow eels and 200,821 silver eels (using a silvering rate of 2.5%) was estimated for 2011. Eel presence and abundance decreased as the distance to the sea increased, and the percentage of calcareous geology in the catchments decreased. Stock indictors (B0, Bbest and Bcurrent) were calculated from these yellow eel estimates to enable the display of precautionary diagrams for each EMU in Ireland. Lake production was also calculated for 2011, using empirical data from a small number of catchments. A precautionary diagram for this total production (fluvial and lacustrine habitat) is presented, and compared with previous estimates of stock indicators for Ireland.
format Report
author de Eyto, E.
Briand, C.
Poole, R.
O'Leary, C.
Kelly, F.
author_facet de Eyto, E.
Briand, C.
Poole, R.
O'Leary, C.
Kelly, F.
author_sort de Eyto, E.
title Application of EDA (v 2.0) to Ireland: prediction of silver eel Anguilla anguilla escapement
title_short Application of EDA (v 2.0) to Ireland: prediction of silver eel Anguilla anguilla escapement
title_full Application of EDA (v 2.0) to Ireland: prediction of silver eel Anguilla anguilla escapement
title_fullStr Application of EDA (v 2.0) to Ireland: prediction of silver eel Anguilla anguilla escapement
title_full_unstemmed Application of EDA (v 2.0) to Ireland: prediction of silver eel Anguilla anguilla escapement
title_sort application of eda (v 2.0) to ireland: prediction of silver eel anguilla anguilla escapement
publisher Marine Institute
publishDate 2016
url http://hdl.handle.net/10793/1144
genre Anguilla anguilla
genre_facet Anguilla anguilla
op_relation Irish Fisheries Investigations;
de Eyto, E., Briand, C., Poole, R., O'Leary,C. & Kelly, F. (2016). Application of EDA (v 2.0) to Ireland: prediction of silver eel Anguilla anguilla escapement. Irish Fisheries Investigations, No. 27, Marine Institute
http://hdl.handle.net/10793/1144
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