Global forest management data for 2015 at a 100 m resolution

Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342, Shchepashchenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Buchhorn, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Dürauer, M., Georgieva, I. ORCID: https://orcid.org/0000-0002-5556-794X, Jung, M., Hofhansl, F. ORCID: https://orcid.org/0000-0003-0073-0946, Schulze, K., Bilous, A., Blyshchyk, V., Mukhortova, L., Brenes, C., Krivobokov, L., Ntie, S., Tsogt, K., Pietsch, S. ORCID: https://orcid.org/0000-0001-6431-2212, Tikhonova, E., Kim, M., Di Fulvio, F. ORCID: https://orcid.org/0000-0002-7317-6360, et al. (2022). Global forest management data for 2015 at a 100 m resolution. Scientific Data 9 (1) e199. 10.1038/s41597-022-01332-3.

[thumbnail of s41597-022-01332-3.pdf]
Preview
Text
s41597-022-01332-3.pdf - Published Version
Available under License Creative Commons Attribution.

Download (3MB) | Preview
Project: Geo-Wiki

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Geo-Wiki
Research Programs: Advancing Systems Analysis (ASA)
Advancing Systems Analysis (ASA) > Exploratory Modeling of Human-natural Systems (EM)
Advancing Systems Analysis (ASA) > Novel Data Ecosystems for Sustainability (NODES)
Biodiversity and Natural Resources (BNR)
Biodiversity and Natural Resources (BNR) > Agriculture, Forestry, and Ecosystem Services (AFE)
Biodiversity and Natural Resources (BNR) > Biodiversity, Ecology, and Conservation (BEC)
Biodiversity and Natural Resources (BNR) > Integrated Biosphere Futures (IBF)
Strategic Initiatives (SI)
Depositing User: Luke Kirwan
Date Deposited: 10 May 2022 09:55
Last Modified: 17 Oct 2024 14:12
URI: https://pure.iiasa.ac.at/17994

Actions (login required)

View Item View Item