Anthropogenic Contaminants Shape the Fitness of the Endangered European Eel: A Machine Learning Approach

International audience European eel is thought to be a symbol of the effects of global change on aquatic biodiversity. The species has persisted for millions of years and faced drastic environmental fluctuations thanks to its phenotypic plasticity. However, the species has recently declined to histo...

Full description

Bibliographic Details
Published in:Fishes
Main Authors: Bourillon, Bastien, Feunteun, Eric, Acou, Anthony, Trancart, Thomas, Teichert, Nils, Belpaire, Claude, Dufour, Sylvie, Bustamante, Paco, Aarestrup, Kim, Walker, Alan, Righton, David
Other Authors: Biologie des Organismes et Ecosystèmes Aquatiques (BOREA), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), LIttoral ENvironnement et Sociétés (LIENSs), La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), European Project: 212133,EC:FP7:ENV,FP7-ENV-2007-1,EELIAD(2008)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2022
Subjects:
Online Access:https://hal.science/hal-03889234
https://hal.science/hal-03889234/document
https://hal.science/hal-03889234/file/fishes-07-00274-v2.pdf
https://doi.org/10.3390/fishes7050274
id ftunivnantes:oai:HAL:hal-03889234v1
record_format openpolar
institution Open Polar
collection Université de Nantes: HAL-UNIV-NANTES
op_collection_id ftunivnantes
language English
topic life history traits
global change
biogeography
Anguilla
[SDV.TOX.ECO]Life Sciences [q-bio]/Toxicology/Ecotoxicology
spellingShingle life history traits
global change
biogeography
Anguilla
[SDV.TOX.ECO]Life Sciences [q-bio]/Toxicology/Ecotoxicology
Bourillon, Bastien
Feunteun, Eric
Acou, Anthony
Trancart, Thomas
Teichert, Nils
Belpaire, Claude
Dufour, Sylvie
Bustamante, Paco
Aarestrup, Kim
Walker, Alan
Righton, David
Anthropogenic Contaminants Shape the Fitness of the Endangered European Eel: A Machine Learning Approach
topic_facet life history traits
global change
biogeography
Anguilla
[SDV.TOX.ECO]Life Sciences [q-bio]/Toxicology/Ecotoxicology
description International audience European eel is thought to be a symbol of the effects of global change on aquatic biodiversity. The species has persisted for millions of years and faced drastic environmental fluctuations thanks to its phenotypic plasticity. However, the species has recently declined to historically low levels under synergistic human pressures. Sublethal chemical contamination has been shown to alter reproductive capacity, but the impacts and required actions are not fully addressed by conservation plans. This paper proposes a modelling approach to quantify the effects of sublethal contamination by anthropogenic pollutants on the expression of life history traits and related fitness of the critically endangered European eel. Material and Methods: We sampled female silver eels from eight different catchments across Europe previously shown to be representative of the spectrum of environmental variability and contamination. We measured 11 fitness-related life history traits within four main categories: fecundity, adaptability and plasticity, migratory readiness, and spawning potential. We used machine learning in models to explore the phenotypic reaction (expression of these life history traits) according to geographical parameters, parasite burdens (the introduced nematode Anguillicoloides crassus) and anthropogenic contaminants (persistent organic pollutants (POPs) in muscular tissue and trace elements (TEs) in gonads, livers and muscles). Finally, we simulated, the effects of two management scenarios—contamination reduction and contamination increase—on the fecundity and recruitment. Results: Contamination in our sampling was shown to have a stronger control on life history traits than do geographic and environmental factors that are currently described in the literature. We modelled different contamination scenarios to assess the benefit of mitigation: these scenarios suggest that reducing pollutants concentrations to the lowest values that occurred in our sampling design would double the fecundity of ...
author2 Biologie des Organismes et Ecosystèmes Aquatiques (BOREA)
Université de Caen Normandie (UNICAEN)
Normandie Université (NU)-Normandie Université (NU)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)
LIttoral ENvironnement et Sociétés (LIENSs)
La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)
Institut Universitaire de France (IUF)
Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.)
European Project: 212133,EC:FP7:ENV,FP7-ENV-2007-1,EELIAD(2008)
format Article in Journal/Newspaper
author Bourillon, Bastien
Feunteun, Eric
Acou, Anthony
Trancart, Thomas
Teichert, Nils
Belpaire, Claude
Dufour, Sylvie
Bustamante, Paco
Aarestrup, Kim
Walker, Alan
Righton, David
author_facet Bourillon, Bastien
Feunteun, Eric
Acou, Anthony
Trancart, Thomas
Teichert, Nils
Belpaire, Claude
Dufour, Sylvie
Bustamante, Paco
Aarestrup, Kim
Walker, Alan
Righton, David
author_sort Bourillon, Bastien
title Anthropogenic Contaminants Shape the Fitness of the Endangered European Eel: A Machine Learning Approach
title_short Anthropogenic Contaminants Shape the Fitness of the Endangered European Eel: A Machine Learning Approach
title_full Anthropogenic Contaminants Shape the Fitness of the Endangered European Eel: A Machine Learning Approach
title_fullStr Anthropogenic Contaminants Shape the Fitness of the Endangered European Eel: A Machine Learning Approach
title_full_unstemmed Anthropogenic Contaminants Shape the Fitness of the Endangered European Eel: A Machine Learning Approach
title_sort anthropogenic contaminants shape the fitness of the endangered european eel: a machine learning approach
publisher HAL CCSD
publishDate 2022
url https://hal.science/hal-03889234
https://hal.science/hal-03889234/document
https://hal.science/hal-03889234/file/fishes-07-00274-v2.pdf
https://doi.org/10.3390/fishes7050274
genre European eel
genre_facet European eel
op_source ISSN: 2410-3888
Fishes
https://hal.science/hal-03889234
Fishes, 2022, 7 (5), pp.274. ⟨10.3390/fishes7050274⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.3390/fishes7050274
info:eu-repo/grantAgreement/EC/FP7/212133/EU/European Eels in the Atlantic: Assessment of Their Decline/EELIAD
hal-03889234
https://hal.science/hal-03889234
https://hal.science/hal-03889234/document
https://hal.science/hal-03889234/file/fishes-07-00274-v2.pdf
doi:10.3390/fishes7050274
op_rights http://creativecommons.org/licenses/by/
info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.3390/fishes7050274
container_title Fishes
container_volume 7
container_issue 5
container_start_page 274
_version_ 1766404654029078528
spelling ftunivnantes:oai:HAL:hal-03889234v1 2023-05-15T16:08:37+02:00 Anthropogenic Contaminants Shape the Fitness of the Endangered European Eel: A Machine Learning Approach Bourillon, Bastien Feunteun, Eric Acou, Anthony Trancart, Thomas Teichert, Nils Belpaire, Claude Dufour, Sylvie Bustamante, Paco Aarestrup, Kim Walker, Alan Righton, David Biologie des Organismes et Ecosystèmes Aquatiques (BOREA) Université de Caen Normandie (UNICAEN) Normandie Université (NU)-Normandie Université (NU)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA) LIttoral ENvironnement et Sociétés (LIENSs) La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS) Institut Universitaire de France (IUF) Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.) European Project: 212133,EC:FP7:ENV,FP7-ENV-2007-1,EELIAD(2008) 2022-10 https://hal.science/hal-03889234 https://hal.science/hal-03889234/document https://hal.science/hal-03889234/file/fishes-07-00274-v2.pdf https://doi.org/10.3390/fishes7050274 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/fishes7050274 info:eu-repo/grantAgreement/EC/FP7/212133/EU/European Eels in the Atlantic: Assessment of Their Decline/EELIAD hal-03889234 https://hal.science/hal-03889234 https://hal.science/hal-03889234/document https://hal.science/hal-03889234/file/fishes-07-00274-v2.pdf doi:10.3390/fishes7050274 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2410-3888 Fishes https://hal.science/hal-03889234 Fishes, 2022, 7 (5), pp.274. ⟨10.3390/fishes7050274⟩ life history traits global change biogeography Anguilla [SDV.TOX.ECO]Life Sciences [q-bio]/Toxicology/Ecotoxicology info:eu-repo/semantics/article Journal articles 2022 ftunivnantes https://doi.org/10.3390/fishes7050274 2023-03-08T01:05:02Z International audience European eel is thought to be a symbol of the effects of global change on aquatic biodiversity. The species has persisted for millions of years and faced drastic environmental fluctuations thanks to its phenotypic plasticity. However, the species has recently declined to historically low levels under synergistic human pressures. Sublethal chemical contamination has been shown to alter reproductive capacity, but the impacts and required actions are not fully addressed by conservation plans. This paper proposes a modelling approach to quantify the effects of sublethal contamination by anthropogenic pollutants on the expression of life history traits and related fitness of the critically endangered European eel. Material and Methods: We sampled female silver eels from eight different catchments across Europe previously shown to be representative of the spectrum of environmental variability and contamination. We measured 11 fitness-related life history traits within four main categories: fecundity, adaptability and plasticity, migratory readiness, and spawning potential. We used machine learning in models to explore the phenotypic reaction (expression of these life history traits) according to geographical parameters, parasite burdens (the introduced nematode Anguillicoloides crassus) and anthropogenic contaminants (persistent organic pollutants (POPs) in muscular tissue and trace elements (TEs) in gonads, livers and muscles). Finally, we simulated, the effects of two management scenarios—contamination reduction and contamination increase—on the fecundity and recruitment. Results: Contamination in our sampling was shown to have a stronger control on life history traits than do geographic and environmental factors that are currently described in the literature. We modelled different contamination scenarios to assess the benefit of mitigation: these scenarios suggest that reducing pollutants concentrations to the lowest values that occurred in our sampling design would double the fecundity of ... Article in Journal/Newspaper European eel Université de Nantes: HAL-UNIV-NANTES Fishes 7 5 274