From rangelands to cropland, land-use change and its impact on soil organic carbon variables in a Peruvian Andean highlands: a machine learning modeling approach

Andean highland soils contain significant quantities of soil organic carbon (SOC); however, more efforts still need to be made to understand the processes behind the accumulation and persistence of SOC and its fractions. This study modeled SOC variables—SOC, refractory SOC (RSOC), and the 13C isotop...

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Detalles Bibliográficos
Autores principales:	Carbajal, Mariella, Ramirez, David A., Turin Canchaya, Cecilia Claudia, Schaeffer, Sean M., Konkel, Julie, Ninanya, Johan, Rinza, Javier, De Mendiburu, Felipe, Zorogastua, Percy, Villaorduña, Liliana, Quiroz, Roberto
Formato:	Artículo
Lenguaje:	Inglés
Publicado:	Springer 2024
Materias:	Artificial neural networks Bofedales 13C isotope composition Extreme gradient boosting Grasslands Random forest Refractory C fraction Support vector machine https://purl.org/pe-repo/ocde/ford#4.01.04 Redes de neuronas Fishing nets Tierra húmeda Wetlands Isótopo Isotopes Gradiente de temperatura Temperature gradients Pradera Machine learning Aprendizaje automático
Acceso en línea:	https://hdl.handle.net/20.500.12955/2576 https://doi.org/10.1007/s10021-024-00928-7

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