Potential and realized distribution at 30m for Stone pine (Pinus pinea) in Europe for 2000 - 2020

Probability and uncertainty maps showing the potential and realized distribution for the stone pine (Pinus pinea, L.) for Europe from the dataset prepared by Bonannella et al. (2022) and predicted using Ensemble Machine Learning (EML). Potential distribution map cover the period 2018 - 2020; realized distribution cover the period 2000 - 2020.

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Bibliographic Details
Main Authors: Bonannella, Carmelo, Hengl, Tomislav, Heisig, Johannes, Leal Parente, Leandro, Wright, Marvin, Herold, Martin, de Bruin, Sytze
Format: Dataset biblioteca
Published: OpenGeoHub Foundation
Subjects:Europe, Pinus pinea, Stone pine, ensemble machine learning, species distribution modeling, tree species, vegetation mapping,
Online Access:https://research.wur.nl/en/datasets/potential-and-realized-distribution-at-30m-for-stone-pine-pinus-p
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Description
Summary:Probability and uncertainty maps showing the potential and realized distribution for the stone pine (Pinus pinea, L.) for Europe from the dataset prepared by Bonannella et al. (2022) and predicted using Ensemble Machine Learning (EML). Potential distribution map cover the period 2018 - 2020; realized distribution cover the period 2000 - 2020.