Dataset : Modelling the response of Antarctic marine species to environmental changes. Methods, applications and limitations


General metadata

Identifiers :
local : FR-18008901306731-2021-11-09 external : doi:10.25666/DATAOSU-2021-11-09
Description :
Ecological modelling is nowadays widely used to highlight the environmental conditions that influence the species ecological niche and better understand their response to environmental changes. Methodological challenges are however present for Southern Ocean marine case studies and it is important to evaluate the performance and limits of such models. In this PhD thesis, several examples allow studying physiological models that simulate the influence of the environment on individual metabolism ; distribution models that study the relationship between species presence records and the environment ; and dispersal models that predict the drift of propagules in water masses.
From these analyses, an ensemble of methodological guidelines were provided, to complement R scripts and tutorials that allow to correct for the different biases and improve modelling performance. Modelling marine Southern Ocean case studies is possible, but requires numerous cautions and further data to improve model evaluation procedures.
Disciplines :
ecology (applied biology - ecology), environmental sciences (sciences of the universe), marine & freshwater biology (sciences of the universe), oceanography (sciences of the universe)
Keywords :

Dates :
Data acquisition : from 1 Jan 2017 to 9 Jul 2021
Data provision : 15 Sep 2021
Metadata record : Creation : 9 Nov 2021

Language : English (eng)
Additional information :
Data produced during Charlène Guillaumot's PhD work, supervised by Bruno Danis (Professor in Ecology at the Université Libre de Bruxelles) et Thomas Saucède (MCF in palaeonology at the Biogeosciences laboratory).
Audience : Research
RightsAttribution, Non Commercial, Share Alike


Biogéosciences, Charlène Guillaumot (2021): Modelling the response of Antarctic marine species to environmental changes. Methods, applications and limitations. GitHub. doi:10.25666/DATAOSU-2021-11-09


Spatial coverage :

  • Océan Austral: on Earth, latitude from South pole to 45° S

Time coverage :

Taxonomic coverage :

  • Espèce de crabe étudiée
    Halicarcinus planatus (Flattened Crab)
  • Espèces d'étoiles de mer étudiées
    Acodontaster hodgsoni, Bathybiaster loripes, Glabraster antarctica (Red spiny cushion star), Labidiaster annulatus, Odontaster validus, Psilaster charcoti
  • Espèce d'oursin étudiée
    Abatus cordatus

Administrative metadata

Data creators : Laboratoire Biogéosciences (UMR 6282), Charlène Guillaumot [1] [2]
Data collector : Thomas Saucède [1] [2]
Related person : Bruno Danis [3]
[1] : Laboratoire Biogéosciences (UMR 6282) (Université de Bourgogne)
[2] : Observatoire des Sciences de l'Univers - Terre, Homme, Environnement, Temps, Astronomie (UAR 3245) (Université de Bourgogne)
[3] : Marine Biology Lab - Université Libre de Bruxelles
Publisher : GitHub
Science contact : Charlène Guillaumot e-mail
Computing contact : Charlène Guillaumot e-mail
Project and funder :
Access : available

Technical metadata

Formats : application/pdf, text/csv, text/plain
Data acquisition methods :
  • Simulation or computational data :
    Les codes pour générer les modèles de distribution ont été réalisés avec le logiciel R.
    Les tutoriels R ont été générés avec des codes rmarkdown.
    L'approche lagrangienne (papier ballast) a été développée avec la plateforme COHERENS (Luyten 2011).
    Référence : Luyten, P. (2011). COHERENS --- A Coupled Hydrodynamical-Ecological Model for Regional and Shelf Seas: User Documentation. Version 2.0. RBINS-MUMM Report, Royal Belgian Institute of Natural Sciences, 1202pp.
Datatype : Dataset


  • Modelling the response of Antarctic marine species to environmental changes. Methods, applications and limitations (manuscrit de thèse) (hal:tel-03299384)


dat@UBFC is the platform for the description of data from UBFC scientific research. It proposes a description of the digital data sets resulting from scientific research.

Université de Bourgogne, Université de Franche-Comté, UTBM, AgroSup Dijon, ENSMM, BSB, Arts des Metiers