文章基本信息

标题：Global forest management data for 2015 at a 100 m resolution
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作者：Myroslava Lesiv ; Dmitry Schepaschenko ; Marcel Buchhorn 等
期刊名称：Scientific Data
电子版ISSN：2052-4463
出版年度：2022
卷号：9
期号：1
页码：1-14
DOI：10.1038/s41597-022-01332-3
语种：English
出版社：Nature Publishing Group
摘要：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 frst 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 .