PHOREAU v1.0: a new process-based model to predict forest functioning, from tree ecophysiology to forest dynamics and biogeography
Résumé
Climate change impacts forest functioning and dynamics, but large uncertainties remain regarding the interactions between species composition, demographic processes and environmental drivers. While the effects of changing climates on individual plant processes are well studied, few tools dynamically integrate them, which precludes accurate projections and recommendations for long-term sustainable forest management. Forest gap models present a balance between complexity and generality and are widely used in predictive forest ecology, but their lack of explicit representation of some of the processes most sensitive to climate changes, like plant phenology and water use, puts into question the relevance of their predictions. Therefore, integrating trait- and process-based representations of climate-sensitive processes is key to improving predictions of forest dynamics under climate change.
Auteurs, date et publication :
Auteurs Tanguy Postic , François De Coligny , Isabelle Chuine , Louis Devresse , Daniel Berveiller , Hervé Cochard , Matthias Cuntz , Nicolas Delpierre , Émilie Joetzjer , Jean-Marc Limousin , Jean-Marc Ourcival , François Pimont , Julien Ruffault , Guillaume Simioni , Nicolas K. Martin-StPaul , Xavier Morin
Publication : Geoscientific Model Development
Date : 2025
Volume : 18
Issue : 20
Pages : 7603-7679