Workshop on Age Reading of European and American Eel (WKAREA)
A cooperative effort lead to the collection of a large European length-at-age dataset (N = 43993, 15 countries) for eel, covering almost one century (from 1913 to 2006) and the fitting of a global growth model at the scale of the species distribution area (Lat. 36-61 Long. 10W-27E). The whole datase...
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ftcemoa:oai:irsteadoc.irstea.fr:PUB00028463 2023-05-15T13:27:49+02:00 Workshop on Age Reading of European and American Eel (WKAREA) CEMAGREF BORDEAUX UR EPBX FRA 2009 application/pdf https://irsteadoc.irstea.fr/cemoa/PUB00028463 Anglais eng http://www.ices.dk/reports/ACOM/2009/WKAREA/WKAREA%202009.pdf https://irsteadoc.irstea.fr/cemoa/PUB00028463 Date de dépôt: 2010-02-19 - Tous les documents et informations contenus dans la base CemOA Publications sont protégés en vertu du droit de propriété intellectuelle, en particulier par le droit d'auteur. La personne consultant la base CemOA Publications peut visualiser, reproduire, ou stocker des copies des publications, à condition que l'information soit seulement pour son usage personnel et non commercial. L'utilisation des travaux universitaires est soumise à autorisation préalable de leurs auteurs. Toute information relative au signalement d'une publication contenue dans CemOA Publications doit inclure la citation bibliographique usuelle : Nom du ou des auteurs, titre et source du document, date et URL de la notice (dc_identifier). 23706 ANGUILLA ANGUILLA OTOLITHE AGE STATOLITHS Rapport scientifique 2009 ftcemoa 2021-06-29T09:26:32Z A cooperative effort lead to the collection of a large European length-at-age dataset (N = 43993, 15 countries) for eel, covering almost one century (from 1913 to 2006) and the fitting of a global growth model at the scale of the species distribution area (Lat. 36-61 Long. 10W-27E). The whole dataset was randomly divided into a calibration dataset (two third) and a validation dataset (one third). A Generalized Additive Model was designed to predict eel length as a function of age. A procedure of model selection was applied to select the best predictors among sex, age of the fish, protocol of age estimation, temperature parameters (means, minimums, maximums, cumulated temperatures), habitat parameters (depth, tide, salinity, distance to the sea) and the period of the century. The model predicted eel length with a good accuracy. Sex and habitat had the greatest predictive power in the model, before cumulated temperature and protocol. Growth was faster in habitats close to the sea and in deep habitats. Within the range tested, temperature had a positive effect on eel growth. The investigation of the effect of the period of the century revealed an interesting pattern with an eel growth increase during the 1960-1980 period. Other/Unknown Material Anguilla anguilla Irstea Publications et Bases documentaires (Irstea@doc/CemOA) |
institution |
Open Polar |
collection |
Irstea Publications et Bases documentaires (Irstea@doc/CemOA) |
op_collection_id |
ftcemoa |
language |
English |
topic |
ANGUILLA ANGUILLA OTOLITHE AGE STATOLITHS |
spellingShingle |
ANGUILLA ANGUILLA OTOLITHE AGE STATOLITHS Workshop on Age Reading of European and American Eel (WKAREA) |
topic_facet |
ANGUILLA ANGUILLA OTOLITHE AGE STATOLITHS |
description |
A cooperative effort lead to the collection of a large European length-at-age dataset (N = 43993, 15 countries) for eel, covering almost one century (from 1913 to 2006) and the fitting of a global growth model at the scale of the species distribution area (Lat. 36-61 Long. 10W-27E). The whole dataset was randomly divided into a calibration dataset (two third) and a validation dataset (one third). A Generalized Additive Model was designed to predict eel length as a function of age. A procedure of model selection was applied to select the best predictors among sex, age of the fish, protocol of age estimation, temperature parameters (means, minimums, maximums, cumulated temperatures), habitat parameters (depth, tide, salinity, distance to the sea) and the period of the century. The model predicted eel length with a good accuracy. Sex and habitat had the greatest predictive power in the model, before cumulated temperature and protocol. Growth was faster in habitats close to the sea and in deep habitats. Within the range tested, temperature had a positive effect on eel growth. The investigation of the effect of the period of the century revealed an interesting pattern with an eel growth increase during the 1960-1980 period. |
author2 |
CEMAGREF BORDEAUX UR EPBX FRA |
format |
Other/Unknown Material |
title |
Workshop on Age Reading of European and American Eel (WKAREA) |
title_short |
Workshop on Age Reading of European and American Eel (WKAREA) |
title_full |
Workshop on Age Reading of European and American Eel (WKAREA) |
title_fullStr |
Workshop on Age Reading of European and American Eel (WKAREA) |
title_full_unstemmed |
Workshop on Age Reading of European and American Eel (WKAREA) |
title_sort |
workshop on age reading of european and american eel (wkarea) |
publishDate |
2009 |
url |
https://irsteadoc.irstea.fr/cemoa/PUB00028463 |
genre |
Anguilla anguilla |
genre_facet |
Anguilla anguilla |
op_source |
23706 |
op_relation |
http://www.ices.dk/reports/ACOM/2009/WKAREA/WKAREA%202009.pdf https://irsteadoc.irstea.fr/cemoa/PUB00028463 |
op_rights |
Date de dépôt: 2010-02-19 - Tous les documents et informations contenus dans la base CemOA Publications sont protégés en vertu du droit de propriété intellectuelle, en particulier par le droit d'auteur. La personne consultant la base CemOA Publications peut visualiser, reproduire, ou stocker des copies des publications, à condition que l'information soit seulement pour son usage personnel et non commercial. L'utilisation des travaux universitaires est soumise à autorisation préalable de leurs auteurs. Toute information relative au signalement d'une publication contenue dans CemOA Publications doit inclure la citation bibliographique usuelle : Nom du ou des auteurs, titre et source du document, date et URL de la notice (dc_identifier). |
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1766400564933951488 |