Mon équipe de recherche s’intéresse à la réponse des biomes terrestres et de l’écosystème boréal aux multiples facteurs environnementaux. Nos travaux de modélisation visent à prédire les adaptation phénologiques des arbres en lien avec les changements climatiques et les appliquer aux stratégies de gestion forestière.
Membre du Laboratoire EcoTer
Membre du Centre d’étude de la forêt (CEF)
Professeur associé, Académie des Sciences de la Chine à Guangzhou
Affiliate researcher au Waterloo Institute for Complexity and Innovation (2016 -)
Membre du corps professoral du programme des cycles supérieurs en sciences forestières, Universidade Estadual Paulista, Brésil (2022 -)
Ph. D. Écologie forestière, Università di Padova, Italie (2003)
M. Sc. Forest and Environmental Sciences, Università di Padova, Italie (1998)
Nita Dyola
Minhui He
Hannah McNulty (M. Sc.)
Gian de Lima Santos (M. Sc.)
Trishna Bhattari (M. Sc.)
Rashana Bhandari (M. Sc.)
Denise Alano (M. Sc.)
Malek Ouichka (M. Sc.)
Benjamin Guillon (M. Sc.)
Claudio Mura (Ph. D.)
Sara Yumi Sassamoto Kurokawa (Ph. D.)
Co-directions:
Aya Garfa (Ph. D.)
Lucie Barbier (Ph. D.)
Rosario Guzmán Marín (Ph. D.)
Debora Coelho Da Silva (Ph. D., São Paulo State University)
David Almagro Fernandez Tostado (Ph. D., Universidad Politécnica de Madrid)
Roberto Silvestro
Valentina Buttò
Siddhartha Khare
Benjamin Marquis
Xiali Guo
This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.
For more information, please consult our Privacy Policy
Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.
If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.
This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.
Keeping this cookie enabled helps us to improve our website.
Please enable Strictly Necessary Cookies first so that we can save your preferences!
