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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Detalizēts apraksts

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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Detalizēta informācija par materiālu

Projekts

Innovations agronomiques

Innovations agronomiques

Atrašanās vieta
France
Autori
Alice MICHELOT-ANTALIK, Sophie GACHET, Myriam LEGAY et Guy LANDMANN
Mērķis
Adopt innovative practices

Faila tips
dokuments
Izveidots
2014. g. 01. dec.
Izcelsmes valoda
French
Oficiālā projekta tīmekļa vietne
Innovations agronomiques
Licence
CC BY