Towards a Decision Support Tool for Adapting French Forests to Climate Change

This paper presents the development of a quantitative decision support tool to guide species selection for French forest management under climate change, integrating functional trait data and existing European tools.

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This study reports on the Traitaut project, which designed a web-based decision support system to help French forest managers adapt species composition under uncertain climate scenarios. The authors established an R&D community and compiled a bibliographic database on species autoecology. They analyzed functional traits from the TRY database, highlighting the need to record corresponding abiotic factors for each measurement. A survey of European decision tools identified best practices and gaps, leading to precise specifications for a French adaptation tool. The resulting framework supports growth and distribution modeling of forest species for long-term management.

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Project

Innovations agronomiques

Innovations agronomiques

Locatie
France
Auteurs
Alice MICHELOT-ANTALIK, Sophie GACHET, Myriam LEGAY et Guy LANDMANN
Doel
Adopt innovative practices

Soort bestand
document
Gepubliceerd op
01 dec 2014
Taal van herkomst
French
Officiële project website
Innovations agronomiques
Licensie
CC BY