Ana Verhulst-CasanovaUniversité du Québec en Abitibi-Témiscamingue · Forest Research Institute (IRF)
Ana Verhulst-Casanova
PhD student in forest ecology
About
1
Publication
83
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Citations
Citations since 2017
Introduction
After achieving my double master in biology-ecology, I've decided to pursue my university education towards forest research. I have gained different knowledge and developed skills in forest ecology through my internships and since the beginning of my university curriculum. I have been initiated to the use of diverse tools allowing the understanding of links between forests and their environment in a context of climate change. Thanks to these exeriences I was able to enter my PhD programme.
Additional affiliations
February 2020 - present
Position
- Research Assistant
Description
- Étude paléoenvironnementale de l’ile Santa Catalina (Californie) pendant les dernières 13.000 années: histoire des feux et analyse sédimentologique d’une carotte.
February 2019 - July 2019
Ministère des Forêts de la Faune et des Parcs
Position
- Research Assistant
Description
- Répartition et diversité de la végétation des tourbières forestières dans les basses-terres du Saint-Laurent (Québec, Canada): approche en écologie numérique.
January 2018 - June 2018
Position
- Research Assistant
Description
- Etude climatique du lac Charly en Laponie (Finlande) sur les 2000 dernières années: approche paléoécologique (chironomes subfossilisés).
Education
September 2019 - July 2020
September 2017 - July 2019
September 2016 - July 2017
Publications
Publication (1)
Presentation of my PhD project to the annual meetings of the International Research Network (IRN) and the International Research Laboratory (IRL) on Cold Forests, as an active member of these research groups.
Projects
Projects (2)
This project shows a global point of view of the distribution and diversity of plant communities of the forested peatlands in the Saint-Lawrence Lowlands. To achieve our goals, we projected the inventories data from the Forest, Fauna and Parks Ministry (MFFP) of Quebec using numerical ecology (PCA to project the data + clustering methods to define the groups of the communities).
