Drivers of tropical forest loss between 2008 and 2019.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
01 04 2022
01 04 2022
Historique:
received:
13
09
2021
accepted:
18
02
2022
entrez:
2
4
2022
pubmed:
3
4
2022
medline:
16
4
2022
Statut:
epublish
Résumé
During December 2020, a crowdsourcing campaign to understand what has been driving tropical forest loss during the past decade was undertaken. For 2 weeks, 58 participants from several countries reviewed almost 115 K unique locations in the tropics, identifying drivers of forest loss (derived from the Global Forest Watch map) between 2008 and 2019. Previous studies have produced global maps of drivers of forest loss, but the current campaign increased the resolution and the sample size across the tropics to provide a more accurate mapping of crucial factors leading to forest loss. The data were collected using the Geo-Wiki platform ( www.geo-wiki.org ) where the participants were asked to select the predominant and secondary forest loss drivers amongst a list of potential factors indicating evidence of visible human impact such as roads, trails, or buildings. The data described here are openly available and can be employed to produce updated maps of tropical drivers of forest loss, which in turn can be used to support policy makers in their decision-making and inform the public.
Identifiants
pubmed: 35365661
doi: 10.1038/s41597-022-01227-3
pii: 10.1038/s41597-022-01227-3
pmc: PMC8976004
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
146Informations de copyright
© 2022. The Author(s).
Références
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