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Sub-Continental-Scale Carbon Stocks of Individual Trees in African Drylands

Authors :
Compton Tucker
Martin Brandt
Pierre Hiernaux
Ankit Kariryaa
Kjeld Rasmussen
Jennifer Small
Christian Igel
Florian Reiner
Katherine Melocik
Jesse Meyer
Scott Sinno
Eric Romero
Erin Glennie
Yasmin Fitts
August Morin
Jorge Pinzon
Devin McClain
Paul Morin
Claire Porter
Shane Loeffler
Laurent Kergoat
Bil-Assanou Issoufou
Patrice Savadogo
Jean-Pierre Wigneron
Benjamin Poulter
Philippe Ciais
Robert Kaufmann
Ranga Myneni
Sassan Saatchi
Rasmus Fensholt
Source :
Nature. 615(7950)
Publication Year :
2023
Publisher :
United States: NASA Center for Aerospace Information (CASI), 2023.

Abstract

The distribution of dryland trees and their density, cover, size, mass and carbon content are not well known at sub-continental to continental scales. This information is important for ecological protection, carbon accounting, climate mitigation and restoration efforts of dryland ecosystems. We assessed more than 9.9 billion trees derived from more than 300,000 satellite images, covering semi-arid sub-Saharan Africa north of the Equator. We attributed wood, foliage and root carbon to every tree in the 0–1,000 mm year−1 rainfall zone by coupling field data, machine learning, satellite data and high-performance computing. Average carbon stocks of individual trees ranged from 0.54 Mg C ha−1 and 63 kg C tree−1 in the arid zone to 3.7 Mg C ha−1 and 98 kg tree−1 in the sub-humid zone. Overall, we estimated the total carbon for our study area to be 0.84 (±19.8%) Pg C. Comparisons with 14 previous TRENDY numerical simulation studies23 for our area found that the density and carbon stocks of scattered trees have been underestimated by three models and overestimated by 11 models, respectively. This benchmarking can help understand the carbon cycle and address concerns about land degradation. We make available a linked database of wood mass, foliage mass, root mass and carbon stock of each tree for scientists, policymakers, dryland-restoration practitioners and farmers, who can use it to estimate farmland tree carbon stocks from tablets or laptops.

Details

Language :
English
ISSN :
14764687 and 00280836
Volume :
615
Issue :
7950
Database :
NASA Technical Reports
Journal :
Nature
Notes :
880292.04.02.01.01, , 947757 TOFDRY, , 9064–00049B
Publication Type :
Report
Accession number :
edsnas.20230000782
Document Type :
Report
Full Text :
https://doi.org/10.1038/s41586-022-05653-6