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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Veröffentlicht in:	Geoderma Regional Jg. 43; S. e01026
Hauptverfasser:	Carbajal, Carlos, Tumbalobos-Dextre, Merely, Condori-Ataupillco, Tatiana, Cuellar-Condori, Nestor, Gavilan, Carla
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2025
Schlagworte:	Andes Digital soil mapping Geographically weighted regression Machine learning regression algorithms Soil organic carbon stock Andes Machine learning regression algorithms Soil organic carbon stock Digital soil mapping Geographically weighted regression
ISSN:	2352-0094, 2352-0094
Online-Zugang:	Volltext
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