Spatial prediction of soil organic carbon stocks across contrasting Andean basins, Peru

Soil organic carbon stocks (SOCS) are critical components of the global carbon cycling and play a central role in climate change mitigation. However, their dynamics in high‐altitude Andean ecosystems remain poorly understood despite their importance for carbon sequestration. The significant spatial...

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Bibliographic Details

Main Authors:	Carbajal Llosa, Carlos Miguel, Tumbalobos Dextre, Merely, Condori Ataupillco, Levi Tatiana, Cuellar Condori, Nestor Edwin, Gavilan, Carla
Format:	info:eu-repo/semantics/preprint
Language:	Inglés
Published:	Elsevier B.V. 2025
Subjects:	Digital soil mapping Soil organic carbon stock Geographically weighted regression Machine learning regression algorithms Andes Cartografía digital de suelos Reservas de carbono orgánico del suelo Regresión ponderada geográficamente Algoritmos de regresión de aprendizaje automático https://purl.org/pe-repo/ocde/ford#4.01.04 Regresión de paso cauteloso; stepwise regression; Cuenca hidrográfica; Watersheds; Perú; Peru
Online Access:	http://hdl.handle.net/20.500.12955/2952 https://doi.org/10.1016/j.geodrs.2025.e01026