Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1182127
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dc.contributor.authorBILA JÚNIOR, F. A.
dc.contributor.authorPACHECO, F. A. L.
dc.contributor.authorVALERA, C. A.
dc.contributor.authorCOSTA, A. M. da
dc.contributor.authorMENDONÇA-SANTOS, M. de L.
dc.contributor.authorFERNANDES, L. F. S.
dc.contributor.authorMOURA, J. P.
dc.date.accessioned2025-12-01T17:48:40Z-
dc.date.available2025-12-01T17:48:40Z-
dc.date.created2025-12-01
dc.date.issued2025
dc.identifier.citationSustainability, v. 17, n. 23, 10764, 2025.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1182127-
dc.descriptionSoil organic carbon (SOC) is a key indicator for assessing pasture degradation. This study presents an integrated, field-based approach to analyzing SOC dynamics in pastures of Rio de Janeiro state (Brazil). Unlike methods based exclusively on remote sensing or modeling, our analysis is based on 350 georeferenced soil samples collected by Embrapa Solos and complemented by historical land use data, providing robust and reliable empirical evidence. Statistical methods (ANOVA, Tukey test), geostatistical interpolation (kriging), and unsupervised clustering (k-means) were used to characterize the spatiotemporal distribution of SOC. The results revealed patterns linked to both topographic and anthropogenic drivers, enabling the objective delineation of degraded versus non-degraded pastures. SOC levels below 40 g/kg in areas under 300 m elevation were strongly associated with degradation due to intensive use. In contrast, degradation at higher altitudes was primarily linked to sloping terrain more prone to water erosion. This methodological approach demonstrates the potential of combining field data with data mining tools to detect degradation patterns and inform targeted land management. The findings reaffirm SOC as a vital indicator of soil quality and highlight the importance of sustainable pasture practices in conserving carbon stocks and mitigating climate change. The proposed threshold-based method offers a practical foundation for diagnosing degraded pastures and identifying priority areas for restoration.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectPasture degradation
dc.subjectK-means clustering
dc.subjectGeostatistical modeling
dc.subjectCarbono orgânico do solo
dc.subjectDegradação de pastagens
dc.subjectSequestro de carbono
dc.titleThe threshold of soil organic carbon and topography reveal degradation patterns in Brazilian pastures: evidence from Rio de Janeiro State.
dc.typeArtigo de periódico
dc.subject.thesagroCarbono
dc.subject.thesagroSolo
dc.subject.thesagroPastagem
dc.subject.thesagroMétodo Estatístico
dc.subject.nalthesaurusSoil organic carbon
dc.subject.nalthesaurusCarbon sequestration
riaa.ainfo.id1182127
riaa.ainfo.lastupdate2025-12-01
dc.identifier.doihttps://doi.org/10.3390/su172310764
dc.contributor.institutionFERNANDO ARÃO BILA JÚNIOR, UNIVERSIDADE DE TRÁS-OS-MONTES E ALTO DOURO; FERNANDO ANTÓNIO LEAL PACHECO, UNIVERSIDADE DE TRÁS-OS-MONTES E ALTO DOURO; CARLOS ALBERTO VALERA, MINISTÉRIO PÚBLICO DE MINAS GERAIS; ADRIANA MONTEIRO DA COSTA, UNIVERSIDADE FEDERAL DE MINAS GERAIS; MARIA DE LOURDES MENDONCA SANTOS BREFIN, CNPS; LUÍS FILIPE SANCHES FERNANDES, UNIVERSIDADE DE TRÁS-OS-MONTES E ALTO DOURO; JOÃO PAULO MOURA, UNIVERSIDADE DE TRÁS-OS-MONTES E ALTO DOURO.
Appears in Collections:Artigo em periódico indexado (CNPS)

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