Mapping sub-surface distribution of soil organic carbon stocks in South Africa's arid and semi-arid landscapes: Implications for land management and climate change mitigation

• Published in: Geoderma Regional Vol. 37; p. e00817
• Main Authors: Odebiri, Omosalewa, Mutanga, Onisimo, Odindi, John, Slotow, Rob, Mafongoya, Paramu, Lottering, Romano, Naicker, Rowan, Matongera, Trylee Nyasha, Mngadi, Mthembeni
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.06.2024
• Subjects: Arid and semi-arid regions; Climate action; Machine learning; Soil management; Soil organic carbon; Climate action; Soil organic carbon; Arid and semi-arid regions; Soil management; Machine learning; soil management; machine learning; climate action; arid and semi-arid regions

Soil organic carbon (SOC) stocks are critical for land management strategies and climate change mitigation. However, understanding SOC distribution in South Africa's arid and semi-arid regions remains a challenge due to data limitations, and the complex spatial and sub-surface variability in SO...