TY - JOUR
T1 - Sub-continental-scale carbon stocks of individual trees in African drylands
AU - Tucker, Compton
AU - Brandt, Martin
AU - Hiernaux, Pierre
AU - Kariryaa, Ankit
AU - Rasmussen, Kjeld
AU - Small, Jennifer
AU - Igel, Christian
AU - Reiner, Florian
AU - Melocik, Katherine
AU - Meyer, Jesse
AU - Sinno, Scott
AU - Romero, Eric
AU - Glennie, Erin
AU - Fitts, Yasmin
AU - Morin, August
AU - Pinzon, Jorge
AU - McClain, Devin
AU - Morin, Paul
AU - Porter, Claire
AU - Loeffler, Shane
AU - Kergoat, Laurent
AU - Issoufou, Bil-Assanou
AU - Savadogo, Patrice
AU - Wigneron, Jean-Pierre
AU - Poulter, Benjamin
AU - Ciais, Philippe
AU - Kaufmann, Robert
AU - Myneni, Ranga
AU - Saatchi, Sassan
AU - Fensholt, Rasmus
N1 - © 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.
PY - 2023
Y1 - 2023
N2 - The distribution of dryland trees and their density, cover, size, mass and carbon content are not well known at sub-continental to continental scales
1-14. This information is important for ecological protection, carbon accounting, climate mitigation and restoration efforts of dryland ecosystems
15-18. 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
19, machine learning
20-22, 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 studies
23 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
24-29. 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.
AB - The distribution of dryland trees and their density, cover, size, mass and carbon content are not well known at sub-continental to continental scales
1-14. This information is important for ecological protection, carbon accounting, climate mitigation and restoration efforts of dryland ecosystems
15-18. 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
19, machine learning
20-22, 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 studies
23 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
24-29. 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.
KW - Humans
KW - Ecosystem
KW - Trees
KW - Benchmarking
KW - Black People
KW - Carbon
U2 - 10.1038/s41586-022-05653-6
DO - 10.1038/s41586-022-05653-6
M3 - Journal article
C2 - 36859581
VL - 615
SP - 80
EP - 86
JO - Nature
JF - Nature
SN - 0028-0836
IS - 7950
ER -