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More than one quarter of Africa's tree cover is found outside areas previously classified as forest.

Authors :
Reiner, Florian
Brandt, Martin
Tong, Xiaoye
Skole, David
Kariryaa, Ankit
Ciais, Philippe
Davies, Andrew
Hiernaux, Pierre
Chave, Jérôme
Mugabowindekwe, Maurice
Igel, Christian
Oehmcke, Stefan
Gieseke, Fabian
Li, Sizhuo
Liu, Siyu
Saatchi, Sassan
Boucher, Peter
Singh, Jenia
Taugourdeau, Simon
Dendoncker, Morgane
Source :
Nature Communications; 5/2/2023, Vol. 14 Issue 1, p1-10, 10p
Publication Year :
2023

Abstract

The consistent monitoring of trees both inside and outside of forests is key to sustainable land management. Current monitoring systems either ignore trees outside forests or are too expensive to be applied consistently across countries on a repeated basis. Here we use the PlanetScope nanosatellite constellation, which delivers global very high-resolution daily imagery, to map both forest and non-forest tree cover for continental Africa using images from a single year. Our prototype map of 2019 (RMSE = 9.57%, bias = −6.9%). demonstrates that a precise assessment of all tree-based ecosystems is possible at continental scale, and reveals that 29% of tree cover is found outside areas previously classified as tree cover in state-of-the-art maps, such as in croplands and grassland. Such accurate mapping of tree cover down to the level of individual trees and consistent among countries has the potential to redefine land use impacts in non-forest landscapes, move beyond the need for forest definitions, and build the basis for natural climate solutions and tree-related studies. Recent analyses have suggested that tree cover in non-forest ecosystems may be much higher than expected. Here, the authors map tree cover down to the individual tree level for the entire continent of Africa and find that almost 30% is found outside areas classified as forests. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
14
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
163448941
Full Text :
https://doi.org/10.1038/s41467-023-37880-4