Modelling the response of Antarctic marine species to environmental changes. Methods, applications and limitations.
Among tools that are used to fill knowledge gaps on natural systems, ecological modelling has been widely applied during the last two decades. Ecological models are simple representations of a complex reality. They allow to highlight environmental drivers of species ecological niche and better under...
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2021
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ftunivbourgogne:oai:HAL:tel-03356706v1 2024-01-07T09:39:07+01:00 Modelling the response of Antarctic marine species to environmental changes. Methods, applications and limitations. Modéliser la réponse des espèces marines antarctiques aux changements environnementaux. Méthodes, applications et limites. Guillaumot, Charlène Biogéosciences UMR 6282 (BGS) Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS) Université Bourgogne Franche-Comté Université libre de Bruxelles (1970-.) Thomas Saucede Bruno Danis 2021-06-22 https://theses.hal.science/tel-03356706 https://theses.hal.science/tel-03356706/document https://theses.hal.science/tel-03356706/file/107190_GUILLAUMOT_2021_archivage.pdf en eng HAL CCSD NNT: 2021UBFCK020 tel-03356706 https://theses.hal.science/tel-03356706 https://theses.hal.science/tel-03356706/document https://theses.hal.science/tel-03356706/file/107190_GUILLAUMOT_2021_archivage.pdf info:eu-repo/semantics/OpenAccess https://theses.hal.science/tel-03356706 Ecology, environment. Université Bourgogne Franche-Comté; Université libre de Bruxelles (1970-.), 2021. English. ⟨NNT : 2021UBFCK020⟩ Ecological modelling Species distribution models Physiological models Lagrangian dispersal models Southern Ocean Marine benthic species Modélisation écologique Modèles de distribution d’espèces Modèles physiologiques Modèles de dispersion lagrangiens Océan Austral Espèces marines benthiques [SDV.EE]Life Sciences [q-bio]/Ecology environment info:eu-repo/semantics/doctoralThesis Theses 2021 ftunivbourgogne 2023-12-12T23:41:00Z Among tools that are used to fill knowledge gaps on natural systems, ecological modelling has been widely applied during the last two decades. Ecological models are simple representations of a complex reality. They allow to highlight environmental drivers of species ecological niche and better understand species responses to environmental changes. However, applying models to Southern Ocean benthic organisms raises several methodological challenges. Species presence datasets are often aggregated in time and space nearby research stations or along main sailing routes. Data are often limited in number to correctly describe species occupied space and physiology. Finally, environmental datasets are not precise enough to accurately represent the complexity of marine habitats. Can we thus generate performant and accurate models at the scale of the Southern Ocean ? What are the limits of such approaches ? How could we improve methods to build more relevant models ? In this PhD thesis, three different model categories have been studied and their performance evaluated. (1) Mechanistic physiological models (Dynamic Energy Budget models, DEB) simulate how the abiotic environment influences individual metabolism and represent the species fundamental niche. (2) Species distribution models (SDMs) predict species distribution probability by studying the relationship between species presences and the environment. They represent the species realised niche. (3) Dispersal lagrangian models predict the drift of propagules in water masses. Results show that physiological models can be developed for marine Southern Ocean species to simulate the metabolic variations in link with the environment and predict population dynamics. However, more data are necessary to highlight detailed physiological contrasts between populations and to accurately evaluate models. Results obtained for SDMs suggest that models generated at the scale of the Southern Ocean and future simulations are not relevant, given the lack of data available to characterise ... Doctoral or Postdoctoral Thesis Antarc* Antarctic Antarctique* Southern Ocean Université de Bourgogne (UB): HAL Antarctic Southern Ocean Austral |
institution |
Open Polar |
collection |
Université de Bourgogne (UB): HAL |
op_collection_id |
ftunivbourgogne |
language |
English |
topic |
Ecological modelling Species distribution models Physiological models Lagrangian dispersal models Southern Ocean Marine benthic species Modélisation écologique Modèles de distribution d’espèces Modèles physiologiques Modèles de dispersion lagrangiens Océan Austral Espèces marines benthiques [SDV.EE]Life Sciences [q-bio]/Ecology environment |
spellingShingle |
Ecological modelling Species distribution models Physiological models Lagrangian dispersal models Southern Ocean Marine benthic species Modélisation écologique Modèles de distribution d’espèces Modèles physiologiques Modèles de dispersion lagrangiens Océan Austral Espèces marines benthiques [SDV.EE]Life Sciences [q-bio]/Ecology environment Guillaumot, Charlène Modelling the response of Antarctic marine species to environmental changes. Methods, applications and limitations. |
topic_facet |
Ecological modelling Species distribution models Physiological models Lagrangian dispersal models Southern Ocean Marine benthic species Modélisation écologique Modèles de distribution d’espèces Modèles physiologiques Modèles de dispersion lagrangiens Océan Austral Espèces marines benthiques [SDV.EE]Life Sciences [q-bio]/Ecology environment |
description |
Among tools that are used to fill knowledge gaps on natural systems, ecological modelling has been widely applied during the last two decades. Ecological models are simple representations of a complex reality. They allow to highlight environmental drivers of species ecological niche and better understand species responses to environmental changes. However, applying models to Southern Ocean benthic organisms raises several methodological challenges. Species presence datasets are often aggregated in time and space nearby research stations or along main sailing routes. Data are often limited in number to correctly describe species occupied space and physiology. Finally, environmental datasets are not precise enough to accurately represent the complexity of marine habitats. Can we thus generate performant and accurate models at the scale of the Southern Ocean ? What are the limits of such approaches ? How could we improve methods to build more relevant models ? In this PhD thesis, three different model categories have been studied and their performance evaluated. (1) Mechanistic physiological models (Dynamic Energy Budget models, DEB) simulate how the abiotic environment influences individual metabolism and represent the species fundamental niche. (2) Species distribution models (SDMs) predict species distribution probability by studying the relationship between species presences and the environment. They represent the species realised niche. (3) Dispersal lagrangian models predict the drift of propagules in water masses. Results show that physiological models can be developed for marine Southern Ocean species to simulate the metabolic variations in link with the environment and predict population dynamics. However, more data are necessary to highlight detailed physiological contrasts between populations and to accurately evaluate models. Results obtained for SDMs suggest that models generated at the scale of the Southern Ocean and future simulations are not relevant, given the lack of data available to characterise ... |
author2 |
Biogéosciences UMR 6282 (BGS) Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS) Université Bourgogne Franche-Comté Université libre de Bruxelles (1970-.) Thomas Saucede Bruno Danis |
format |
Doctoral or Postdoctoral Thesis |
author |
Guillaumot, Charlène |
author_facet |
Guillaumot, Charlène |
author_sort |
Guillaumot, Charlène |
title |
Modelling the response of Antarctic marine species to environmental changes. Methods, applications and limitations. |
title_short |
Modelling the response of Antarctic marine species to environmental changes. Methods, applications and limitations. |
title_full |
Modelling the response of Antarctic marine species to environmental changes. Methods, applications and limitations. |
title_fullStr |
Modelling the response of Antarctic marine species to environmental changes. Methods, applications and limitations. |
title_full_unstemmed |
Modelling the response of Antarctic marine species to environmental changes. Methods, applications and limitations. |
title_sort |
modelling the response of antarctic marine species to environmental changes. methods, applications and limitations. |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://theses.hal.science/tel-03356706 https://theses.hal.science/tel-03356706/document https://theses.hal.science/tel-03356706/file/107190_GUILLAUMOT_2021_archivage.pdf |
geographic |
Antarctic Southern Ocean Austral |
geographic_facet |
Antarctic Southern Ocean Austral |
genre |
Antarc* Antarctic Antarctique* Southern Ocean |
genre_facet |
Antarc* Antarctic Antarctique* Southern Ocean |
op_source |
https://theses.hal.science/tel-03356706 Ecology, environment. Université Bourgogne Franche-Comté; Université libre de Bruxelles (1970-.), 2021. English. ⟨NNT : 2021UBFCK020⟩ |
op_relation |
NNT: 2021UBFCK020 tel-03356706 https://theses.hal.science/tel-03356706 https://theses.hal.science/tel-03356706/document https://theses.hal.science/tel-03356706/file/107190_GUILLAUMOT_2021_archivage.pdf |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1787428793409863680 |