Bio
Maxence SOUBERYAND
Professional address:
Institut de Recherche sur les Forêts, Université du Québec en Abitibi-Témiscamingue, Rouyn-Noranda, QC, Canada
Mail: maxence.soubeyrand@uqat.ca
Academic background:
- 2020-now : PhD in forest ecology, Modeling the behavior of temperate hardwood stands in a coniferous matrix. Université du Québec en Abitibi Temiscamingue, Rouyn-Noranda, Québec, Canada.
- 2017-2019 : Master’s degree in Biodiversity Ecology and Evolution; Modelling of Ecological Systems, Université Paul Sabatier, Toulouse, France.
- 2016-2017 : Bachelor’s degree in bio-informatics statistics and modelling, Université Claude Bernard, Lyon, France.
- 2013-2016 : Bachelor’s degree in biology, Université Grenoble Alpes, France.
Professionnal experience:
- January 2020-now : PhD in forest ecology, Modeling the behavior of temperate hardwood stands in a coniferous matrix. Université du Québec en Abitibi Temiscamingue, Rouyn-Noranda, Québec, Canada.
- January 2019 – June 2019: Niche modelling, Comparison between Species Distribution Models and a new method based on the niche margin to provide a better characterization of endangered. Université de Lausanne, Suisse.
- June 2018 – August 2018: Development of an application for theanalysis and the visualisation of bioregions with R shiny. Development of a method for a multicriteria analysis on a study case: Thau territory. IRSTEA, Montpellier, France.
- January 2018- May 2018: Creation and analysis of an insular biogeography model. Predicting species distribution in a changing archipelago. Université Paul Sabatier, Toulouse, France.
Area of expertise:
Modelling forest dynamics, boreal forest ecosystem.
Keywords: Forest dynamics, SORTIE simulator, biostatistics.
Website:
- Google scholar : https://scholar.google.com/citations?user=tAPNCJQAAAAJ&hl=fr
Maxence Soubeyrand, PhD student in ecology, Université du Québec en Abitibi-Témiscamingue – Cited by 12 – Ecology – forest – modeling - ResearchGate: https://www.researchgate.net/profile/Maxence-Soubeyrand
- CAFD: https://chaireafd.uqat.ca/membres/membre.php?id=979
- Chaire UQAT-UQAM en Aménagement Forestier Durable
Quelles méthodes statistiques permettent, d’une part de calibrer les paramètres d’un modèle de simulation écologique, d’autre part de valider ce même modèle, en fonction de données empiriques ?