Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1188819
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dc.contributor.authorMOURÃO, V. H. M.
dc.contributor.authorKARATAY, Y. N.
dc.contributor.authorBARIONI, L. G.
dc.contributor.authorDAMIAN, J. M.
dc.contributor.authorMOTTA, M. R.
dc.date.accessioned2026-08-03T12:48:48Z-
dc.date.available2026-08-03T12:48:48Z-
dc.date.created2026-08-03
dc.date.issued2026
dc.identifier.citationScientia Agricola, v. 83, e20250142, 2026.
dc.identifier.issn1678-992X
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1188819-
dc.descriptionABSTRACT: Agricultural soils have a significant potential for carbon sequestration, thus playing a vital role in addressing climate change. Deeper soil layers, often overlooked in inventories, contain considerable amounts of soil organic carbon (SOC), particularly in tropical regions. Hence, it is crucial to include variations in those stocks in carbon accounting. However, the higher costs of measuring deep carbon stocks often deter such measurements. Therefore, developing cost-effective methods to predict SOC stocks in deeper soil layers is essential. This study aimed to assess the relationship between topsoil data and predictions of carbon stocks across various soil depths in tropical native vegetation and croplands on 53 farms in Brazil. We examined multiple combinations of soil layers above a target depth (e.g., 40 cm) to assess the viability of using topsoil data to predict deeper SOC stocks. Our results indicate that SOC stocks at depths of 30-40 cm and 40-60 cm can reliably predict SOC stocks at 40-100 cm and 60-100 cm, respectively. The models developed in this study provide a cost-effective approach for estimating SOC stocks in deeper soil layers, potentially enhancing the economic efficiency of quantifying the contributions of the agricultural sector and carbon farming initiatives in Brazil.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectEstoque de carbono
dc.subjectCarbono orgânico do solo
dc.subjectTrópico
dc.titlePredicting carbon stocks in deeper soil layers using topsoil data.
dc.typeArtigo de periódico
dc.subject.thesagroAgricultura
dc.subject.thesagroUso da Terra
dc.subject.nalthesaurusAgriculture
dc.subject.nalthesaurusLand use
dc.subject.nalthesaurusTopsoil
dc.subject.nalthesaurusSoil organic carbon
dc.subject.nalthesaurusTropics
riaa.ainfo.id1188819
riaa.ainfo.lastupdate2026-08-03
dc.identifier.doihttps://doi.org/10.1590/1678-992X-2025-0142
dc.contributor.institutionVITOR HUGO MIRANDA MOURÃO; YUSUF NADI KARATAY; LUIS GUSTAVO BARIONI, CNPTIA; JÚNIOR MELO DAMIAN; MARIANA RODRIGUES MOTTA, UNIVERSIDADE ESTADUAL DE CAMPINAS.
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