Global forest management data for 2015 at a 100 m resolution

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/97709 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/97709 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/97709 archive 353 disk0/00/01/79/94 2022-05-10 09:55:11 2025-08-13 05:00:23 2022-05-10 09:55:11 article show Lesiv M. 8477 0000-0001-9846-3342 Shchepashchenko D. 7435 0000-0002-7814-4990 Buchhorn M. See L. 8571 0000-0002-2665-7065 Dürauer M. 2013 Georgieva I. 2242 0000-0002-5556-794X Jung M. 2245 0000-0002-7569-1390 Hofhansl F. 2222 0000-0003-0073-0946 Schulze K. Bilous A. Blyshchyk V. Mukhortova L. Brenes C. Krivobokov L. Ntie S. Tsogt K. Pietsch S. 2054 0000-0001-6431-2212 Tikhonova E. Kim M. 8828 Di Fulvio F. 8861 0000-0002-7317-6360 Su Y.-F. Zadorozhniuk R. Sirbu F. Panging K. Bilous S. Kovalevskii S. Kraxner F. 7904 Rabia A.H. Vasylyshyn R. Ahmed R. Diachuk P. Kovalevskyi S. Bungnamei K. Bordoloi K. Churilov A. Vasylyshyn O. Sahariah D. Tertyshnyi A. Saikia A. Malek Å. Singha K. Feshchenko R. Prestele R. Akhtar I. Sharma K. Domashovets G. Spawn-Lee S. Blyshchyk O. Slyva O. Ilkiv M. Melnyk O. Sliusarchuk V. Karpuk A. Terentiev A. Bilous V. Blyshchyk K. Bilous M. Bogovyk N. Blyshchyk I. Bartalev S. Yatskov M. Smets B. Visconti P. 2230 0000-0001-6823-2826 McCallum I. 1731 0000-0002-5812-9988 Obersteiner M. 7255 0000-0001-6981-2769 Fritz S. 8130 0000-0003-0420-8549 Global forest management data for 2015 at a 100 m resolution pub ASA EM NODES BNR AFE BEC IBF SI Geo-Wiki Spatially explicit information on forest management at a global scale is critical for understanding the status of forests, for planning sustainable forest management and restoration, and conservation activities. Here, we produce the first reference data set and a prototype of a globally consistent forest management map with high spatial detail on the most prevalent forest management classes such as intact forests, managed forests with natural regeneration, planted forests, plantation forest (rotation up to 15 years), oil palm plantations, and agroforestry. We developed the reference dataset of 226 K unique locations through a series of expert and crowdsourcing campaigns using Geo-Wiki (https://www.geo-wiki.org/). We then combined the reference samples with time series from PROBA-V satellite imagery to create a global wall-to-wall map of forest management at a 100 m resolution for the year 2015, with forest management class accuracies ranging from 58% to 80%. The reference data set and the map present the status of forest ecosystems and can be used for investigating the value of forests for species, ecosystems and their services. 2022-05-10 published Nature Publishing Group 10.1038/s41597-022-01332-3 181 279 276 73 3152 3143 3022 232 156 65 165 3114 202 219 98 public Scientific Data 9 1 e199 199 TRUE 2052-4463 Geo-Wiki no info:eu-repo/semantics/article