10.7910/DVN/QQHCIK Hengl, Tomislav Tomislav Hengl https://orcid.org/0000-0002-9921-5129 Envirometrix Ltd Harvard Dataverse 2018 Earth and Environmental Sciences Computer and Information Science random forest biomes forest species photosynthesis Hengl, Tomislav Tomislav Hengl Envirometrix Ltd 2018-03-27 2018-03-27 2018-04-04 GeoTIFFs spatial data 10.7287/PEERJ.PREPRINTS.26811V1 10.7910/DVN/QQHCIK/WWZIME 10.7910/DVN/QQHCIK/W8MYQO 10.7910/DVN/QQHCIK/JUBLYL 10.7910/DVN/QQHCIK/A81REW 10.7910/DVN/QQHCIK/NLDUJH 10.7910/DVN/QQHCIK/HCFFKN 10.7910/DVN/QQHCIK/1LNAAL 10.7910/DVN/QQHCIK/0RBIE4 10.7910/DVN/QQHCIK/II3HAX 10.7910/DVN/QQHCIK/X6QEJX 10.7910/DVN/QQHCIK/4UJVXI 10.7910/DVN/QQHCIK/1FMT86 10.7910/DVN/QQHCIK/7DPBWX 10.7910/DVN/QQHCIK/IADRQW 10.7910/DVN/QQHCIK/JTOBHG 10.7910/DVN/QQHCIK/N5CXO6 10.7910/DVN/QQHCIK/R15C2N 10.7910/DVN/QQHCIK/NOQGAX 10.7910/DVN/QQHCIK/NZHNTG 10.7910/DVN/QQHCIK/EZYUKF 10.7910/DVN/QQHCIK/AT8T1M 10.7910/DVN/QQHCIK/ZLNGLL 10.7910/DVN/QQHCIK/RRP1I2 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image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff image/tiff 4.0 Custom terms specific to this dataset Potential Natural Vegetation (PNV) is the vegetation cover in equilibrium with climate, that would exist at a given location non-impacted by human activities. PNV is useful for raising public awareness about land degradation and for estimating land potential. Here you can download results of predictions of (1) global distribution of biomes based on the BIOME 6000 data set (8057 modern pollen-based site reconstructions), (2) distribution of forest tree species in Europe based on detailed occurrence records (1,546,435 ground observations), and (3) global monthly Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) values (30,301 randomly-sampled points). To report an issue or artifact in maps, please use https://github.com/envirometrix/PNVmaps/issues PNV1km R To view data please use: https://www.arcgis.com/apps/MapJournal/index.html?appid=1856322400844a7cab348bccfa4bee76