Cássio Marques Moquedace | SOM 2026 | Galoá Proceedings

GeoCiS - ESALQ / USP - CCARBON

Cássio Marques Moquedace

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Explainable machine learning to map context-dependent biotic controls on soil organic carbon persistence across global pedoclimatic domains
Moquedace, C. M. ¹
Baldi, C. O. ²
Gomes, L. C. ³
Siqueira, R. G. ²
Pereira, L. ⁴
Francelino, M. R. ⁵
Schaefer, C. G. R. ⁶
Cerri, C. ⁷
Demattê, J. A. M. ⁸
Fernades-Filho, E. ²
¹ GeoCiS - ESALQ / USP - CCARBON
² Universidade Federal de Viçosa | (Federal University of Viçosa)
³ Aarhus University
⁴ Brazilian Institute of Geography and Statistics
⁵ Universidade Federal de Viçosa
⁶ Universidade Federal do Rio de Janeiro
⁷ Research Centre for Greenhouse Gas Innovation, University of São Paulo, Piracicaba, Brazil
⁸ ESALQ/USP
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336740

Carbon sequestration and stabilization mechanisms

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