Spatial prediction of soil organic carbon: Combining machine learning with residual kriging in an agricultural lowland area (Lombardy region, Italy)

Soil organic carbon (SOC) plays a crucial role in the global carbon cycle and in maintaining soil functions in the context of land use and climate change. Understanding the spatial distribution of SOC is essential for the management of agricultural land to optimize soil health and carbon storage. In...

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Bibliographic Details

Published in:	Geoderma
Main Authors:	Odunayo David Adeniyi, Alexander Brenning, Michael Maerker
Format:	Article
Language:	English
Published:	Elsevier 2024-08-01
Subjects:	Soil organic carbon (SOC) Digital soil mapping Machine learning Residual kriging Umbrisols, Luvisols, Lombardy, lowlands
Online Access:	http://www.sciencedirect.com/science/article/pii/S0016706124001824