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EU-Trees4F, a dataset on the future distribution of European tree species.
Mauri, Achille; Girardello, Marco; Strona, Giovanni; Beck, Pieter S A; Forzieri, Giovanni; Caudullo, Giovanni; Manca, Federica; Cescatti, Alessandro.
Afiliación
  • Mauri A; Faculty of Biological and Environmental Sciences, Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland. achille.mauri@helsinki.fi.
  • Girardello M; European Commission, Joint Research Centre, Ispra, Italy. achille.mauri@helsinki.fi.
  • Strona G; European Commission, Joint Research Centre, Ispra, Italy.
  • Beck PSA; Faculty of Biological and Environmental Sciences, Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland.
  • Forzieri G; European Commission, Joint Research Centre, Ispra, Italy.
  • Caudullo G; European Commission, Joint Research Centre, Ispra, Italy.
  • Manca F; European Commission, Joint Research Centre, Ispra, Italy.
  • Cescatti A; Faculty of Biological and Environmental Sciences, Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland.
Sci Data ; 9(1): 37, 2022 02 03.
Article en En | MEDLINE | ID: mdl-35115529
We present "EU-Trees4F", a dataset of current and future potential distributions of 67 tree species in Europe at 10 km spatial resolution. We provide both climatically suitable future areas of occupancy and the future distribution expected under a scenario of natural dispersal for two emission scenarios (RCP 4.5 and RCP 8.5) and three time steps (2035, 2065, and 2095). Also, we provide a version of the dataset where tree ranges are limited by future land use. These data-driven projections were made using an ensemble species distribution model calibrated using EU-Forest, a comprehensive dataset of tree species occurrences for Europe, and driven by seven bioclimatic parameters derived from EURO-CORDEX regional climate model simulations, and two soil parameters. "EU-Trees4F", can benefit various research fields, including forestry, biodiversity, ecosystem services, and bio-economy. Possible applications include the calibration or benchmarking of dynamic vegetation models, or informing forest adaptation strategies based on assisted tree migration. Given the multiple European policy initiatives related to forests, this dataset represents a timely and valuable resource to support policymaking.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2022 Tipo del documento: Article País de afiliación: Finlandia Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2022 Tipo del documento: Article País de afiliación: Finlandia Pais de publicación: Reino Unido