Forest tree species distribution for Europe 2000–2020: mapping potential and realized distributions using spatiotemporal machine learning

This article describes a data-driven framework based on spatiotemporal machine learning to produce distribution maps for 16 tree species (Abies alba Mill., Castanea sativa Mill., Corylus avellana L., Fagus sylvatica L., Olea europaea L., Picea abies L. H. Karst., Pinus halepensis Mill., Pinus nigra...

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Detalles Bibliográficos
Autores principales: Bonannella, Carmelo, Hengl, Tomislav, Heisig, Johannes, Parente, Leandro, Wright, Marvin N., Herold, Martin, de Bruin, Sytze
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Biogeography
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332400/
https://www.ncbi.nlm.nih.gov/pubmed/35910765
http://dx.doi.org/10.7717/peerj.13728

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9332400/
https://www.ncbi.nlm.nih.gov/pubmed/35910765
http://dx.doi.org/10.7717/peerj.13728

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