Forest tree species distribution for Europe 2000–2020: mapping potential and realized distributions using spatiotemporal machine learning
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DOI: 10.7717/peerj.13728
Abstract: 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… read more here.
Keywords: potential realized; r2logloss; machine learning; distribution ... See more keywords