Predicting bulk density in Brazilian soils for carbon stocks calculation: a comparative study of multiple linear regression and Random Forest models using continuous and categorical variables.

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dc.contributorWHARLEY PEREIRA DOS SANTOS; CARLOS MANOEL PEDRO VAZ, CNPDIA; LADISLAU MARTIN NETO, CNPDIA; ADRIANO ANSELMI, BAYER; JAVIER TOMASELLA, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; FALBERNI DE SOUZA COSTA, CPAF-AC; JACKSON ADRIANO ALBUQUERQUE; QUIRIJN DE JONG VAN LIER, UNIVERSIDADE DE SÃO PAULO; RAFAEL GALBIERI, INSTITUTO MATO-GROSSENSE DO ALGODÃO; FABIANO JOSE PERINA, CNPA.
dc.creatorSANTOS, W. P. dos
dc.creatorVAZ, C. M. P.
dc.creatorMARTIN NETO, L.
dc.creatorANSELMI, A.
dc.creatorTOMASELLA, J.
dc.creatorCOSTA, F. de S.
dc.creatorALBUQUERQUE, J. A.
dc.creatorLIER, Q. de J. van
dc.creatorGALBIERI, R.
dc.creatorPERINA, F. J.
dc.date2025-03-10T13:27:58Z
dc.date2025-03-10T13:27:58Z
dc.date2025-03-10
dc.date2025
dc.date.accessioned2026-07-07T04:29:39Z
dc.descriptionThe present study aims to develop pedotransfer functions for estimating ρb using stepwise multiple linear regression applied to soil properties from available databases, which are considered suitable predictors (PTF-1).
dc.identifierDiscover Soil, v. 2, article 7, 2025.
dc.identifier3005-1223 (Online)
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1173714
dc.identifierhttps://doi.org/10.1007/s44378-025-00035-6
dc.identifier.urihttp://hdl.handle.net/123456789/463121
dc.languageeng
dc.rightsopenAccess
dc.subjectQuímica del suelo
dc.subjectDensidad aparente
dc.subjectCarbono orgánico del suelo
dc.subjectDisponibilidad de nutrientes
dc.subjectFunciones de edafotransferancia
dc.subjectPredicción
dc.subjectAnálisis estadístico
dc.subjectAnálisis de regresión
dc.subjectQuímica do Solo
dc.subjectCarbono
dc.subjectEstoque
dc.subjectDisponibilidade de Nutriente
dc.subjectEstimativa
dc.subjectAnálise Estatística
dc.subjectRegressão Linear
dc.subjectSoil chemistry
dc.subjectBulk density
dc.subjectSoil organic carbon
dc.subjectNutrient availability
dc.subjectPedotransfer functions
dc.subjectPrediction
dc.subjectStatistical analysis
dc.subjectRegression analysis
dc.titlePredicting bulk density in Brazilian soils for carbon stocks calculation: a comparative study of multiple linear regression and Random Forest models using continuous and categorical variables.
dc.typeArtigo de periódico

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