A demo-genetic individual-based model for Atlantic salmon populations: Model structure, parameterization and sensitivity
Predicting the persistence and adaptability of natural populations to climate change is a challenging task. Mechanistic models that integrate biological and evolutionary processes are helpful toward this aim. Atlantic salmon, Salmo salar (L.), is a good candidate to assess the effect of environmenta...
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Online Access: | http://agritrop.cirad.fr/564762/ http://agritrop.cirad.fr/564762/1/document_564762.pdf https://doi.org/10.1016/j.ecolmodel.2012.01.025 |
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ftcirad:oai:agritrop.cirad.fr:564762 2023-05-15T15:30:53+02:00 A demo-genetic individual-based model for Atlantic salmon populations: Model structure, parameterization and sensitivity Piou, Cyril Prévost, Etienne Europe Bretagne France 2012 application/pdf http://agritrop.cirad.fr/564762/ http://agritrop.cirad.fr/564762/1/document_564762.pdf https://doi.org/10.1016/j.ecolmodel.2012.01.025 eng eng http://agritrop.cirad.fr/564762/ A demo-genetic individual-based model for Atlantic salmon populations: Model structure, parameterization and sensitivity. Piou Cyril, Prévost Etienne. 2012. Ecological Modelling, 231 : 37-52.https://doi.org/10.1016/j.ecolmodel.2012.01.025 <https://doi.org/10.1016/j.ecolmodel.2012.01.025> http://agritrop.cirad.fr/564762/1/document_564762.pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html Ecological Modelling U10 - Informatique mathématiques et statistiques L10 - Génétique et amélioration des animaux L20 - Écologie animale P01 - Conservation de la nature et ressources foncières Modèle de simulation Modélisation environnementale Changement climatique Dynamique des populations Écologie animale génétique animale Étude de cas Salmo salar Adaptabilité http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_427 http://aims.fao.org/aos/agrovoc/c_49986 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_14037 http://aims.fao.org/aos/agrovoc/c_35024 http://aims.fao.org/aos/agrovoc/c_2724 http://aims.fao.org/aos/agrovoc/c_1098 http://aims.fao.org/aos/agrovoc/c_3081 article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion 2012 ftcirad https://doi.org/10.1016/j.ecolmodel.2012.01.025 2023-01-03T23:49:19Z Predicting the persistence and adaptability of natural populations to climate change is a challenging task. Mechanistic models that integrate biological and evolutionary processes are helpful toward this aim. Atlantic salmon, Salmo salar (L.), is a good candidate to assess the effect of environmental change on a species with a complex life history through an integrative modelling approach due to (i) a large amount of knowledge concerning its biology and (ii) extensive historical data sets that can be used for model validation. This paper presents an individual-based demo-genetic model developed to simulate S. salar population dynamics in southern European populations: IBASAM (Individual-Based Atlantic SAlmon Model). The model structure is described thoroughly. A parameterization exercise was conducted to adjust the model to an extensive set of demographic data collected over 15 years on the Scorff River, Brittany, France. A sensitivity analysis showed that two parameters determining mean and variability of juvenile growth rates were crucial in structuring the simulated populations. Additionally, realistic microevolutionary patterns of different aspects of life history were predicted by the model, reproducing general knowledge on S. salar population biology. The integration into IBASAM of a demo-genetic structure coupled with the explicit representation of individual variability and complex life histories makes it a cohesive and novel tool to assess the effect of potential stressors on evolutionary demography of Atlantic salmon in further studies. Article in Journal/Newspaper Atlantic salmon Salmo salar CIRAD: Agritrop (Centre de coopération internationale en recherche agronomique pour le développement) Ecological Modelling 231 37 52 |
institution |
Open Polar |
collection |
CIRAD: Agritrop (Centre de coopération internationale en recherche agronomique pour le développement) |
op_collection_id |
ftcirad |
language |
English |
topic |
U10 - Informatique mathématiques et statistiques L10 - Génétique et amélioration des animaux L20 - Écologie animale P01 - Conservation de la nature et ressources foncières Modèle de simulation Modélisation environnementale Changement climatique Dynamique des populations Écologie animale génétique animale Étude de cas Salmo salar Adaptabilité http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_427 http://aims.fao.org/aos/agrovoc/c_49986 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_14037 http://aims.fao.org/aos/agrovoc/c_35024 http://aims.fao.org/aos/agrovoc/c_2724 http://aims.fao.org/aos/agrovoc/c_1098 http://aims.fao.org/aos/agrovoc/c_3081 |
spellingShingle |
U10 - Informatique mathématiques et statistiques L10 - Génétique et amélioration des animaux L20 - Écologie animale P01 - Conservation de la nature et ressources foncières Modèle de simulation Modélisation environnementale Changement climatique Dynamique des populations Écologie animale génétique animale Étude de cas Salmo salar Adaptabilité http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_427 http://aims.fao.org/aos/agrovoc/c_49986 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_14037 http://aims.fao.org/aos/agrovoc/c_35024 http://aims.fao.org/aos/agrovoc/c_2724 http://aims.fao.org/aos/agrovoc/c_1098 http://aims.fao.org/aos/agrovoc/c_3081 Piou, Cyril Prévost, Etienne A demo-genetic individual-based model for Atlantic salmon populations: Model structure, parameterization and sensitivity |
topic_facet |
U10 - Informatique mathématiques et statistiques L10 - Génétique et amélioration des animaux L20 - Écologie animale P01 - Conservation de la nature et ressources foncières Modèle de simulation Modélisation environnementale Changement climatique Dynamique des populations Écologie animale génétique animale Étude de cas Salmo salar Adaptabilité http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_427 http://aims.fao.org/aos/agrovoc/c_49986 http://aims.fao.org/aos/agrovoc/c_24392 http://aims.fao.org/aos/agrovoc/c_14037 http://aims.fao.org/aos/agrovoc/c_35024 http://aims.fao.org/aos/agrovoc/c_2724 http://aims.fao.org/aos/agrovoc/c_1098 http://aims.fao.org/aos/agrovoc/c_3081 |
description |
Predicting the persistence and adaptability of natural populations to climate change is a challenging task. Mechanistic models that integrate biological and evolutionary processes are helpful toward this aim. Atlantic salmon, Salmo salar (L.), is a good candidate to assess the effect of environmental change on a species with a complex life history through an integrative modelling approach due to (i) a large amount of knowledge concerning its biology and (ii) extensive historical data sets that can be used for model validation. This paper presents an individual-based demo-genetic model developed to simulate S. salar population dynamics in southern European populations: IBASAM (Individual-Based Atlantic SAlmon Model). The model structure is described thoroughly. A parameterization exercise was conducted to adjust the model to an extensive set of demographic data collected over 15 years on the Scorff River, Brittany, France. A sensitivity analysis showed that two parameters determining mean and variability of juvenile growth rates were crucial in structuring the simulated populations. Additionally, realistic microevolutionary patterns of different aspects of life history were predicted by the model, reproducing general knowledge on S. salar population biology. The integration into IBASAM of a demo-genetic structure coupled with the explicit representation of individual variability and complex life histories makes it a cohesive and novel tool to assess the effect of potential stressors on evolutionary demography of Atlantic salmon in further studies. |
format |
Article in Journal/Newspaper |
author |
Piou, Cyril Prévost, Etienne |
author_facet |
Piou, Cyril Prévost, Etienne |
author_sort |
Piou, Cyril |
title |
A demo-genetic individual-based model for Atlantic salmon populations: Model structure, parameterization and sensitivity |
title_short |
A demo-genetic individual-based model for Atlantic salmon populations: Model structure, parameterization and sensitivity |
title_full |
A demo-genetic individual-based model for Atlantic salmon populations: Model structure, parameterization and sensitivity |
title_fullStr |
A demo-genetic individual-based model for Atlantic salmon populations: Model structure, parameterization and sensitivity |
title_full_unstemmed |
A demo-genetic individual-based model for Atlantic salmon populations: Model structure, parameterization and sensitivity |
title_sort |
demo-genetic individual-based model for atlantic salmon populations: model structure, parameterization and sensitivity |
publishDate |
2012 |
url |
http://agritrop.cirad.fr/564762/ http://agritrop.cirad.fr/564762/1/document_564762.pdf https://doi.org/10.1016/j.ecolmodel.2012.01.025 |
op_coverage |
Europe Bretagne France |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
Ecological Modelling |
op_relation |
http://agritrop.cirad.fr/564762/ A demo-genetic individual-based model for Atlantic salmon populations: Model structure, parameterization and sensitivity. Piou Cyril, Prévost Etienne. 2012. Ecological Modelling, 231 : 37-52.https://doi.org/10.1016/j.ecolmodel.2012.01.025 <https://doi.org/10.1016/j.ecolmodel.2012.01.025> http://agritrop.cirad.fr/564762/1/document_564762.pdf |
op_rights |
Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html |
op_doi |
https://doi.org/10.1016/j.ecolmodel.2012.01.025 |
container_title |
Ecological Modelling |
container_volume |
231 |
container_start_page |
37 |
op_container_end_page |
52 |
_version_ |
1766361359277096960 |