Spatial patterns of magnetic susceptibility optimized by anisotropic correction in different Alisols in southern Amazonas, Brazil

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dc.contributor.authorBrito, Wildson Benedito Mendes
dc.contributor.authorCampos, Milton César Costa
dc.contributor.authorde Souza, Fernando Gomes
dc.contributor.authorSilva, Laércio Santos [UNESP]
dc.contributor.authorda Cunha, José Maurício
dc.contributor.authorde Lima, Alan Ferreira Leite
dc.contributor.authorMartins, Thalita Silva
dc.contributor.authorde Oliveira, Flávio Pereira
dc.contributor.authorde Oliveira, Ivanildo Amorim
dc.contributor.institutionFederal University of Amazonas (UFAM)
dc.contributor.institutionUniversidade Federal da Paraíba (UFPB)
dc.contributor.institutionFederal University of Roraima (UFRR)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Estadual de Maringá (UEM)
dc.date.accessioned2022-04-29T08:32:31Z
dc.date.available2022-04-29T08:32:31Z
dc.date.issued2022-04-01
dc.description.abstractChanges in primary cover for agricultural crops in Amazonas region influence the phenomenon of spatial variability in soil properties. This phenomenon is still studied assuming that the spatial data is isotropic, but does not consider the anisotropic pattern of soil properties. Thus, the aim of this work was to characterize, identify and correct isotropic patterns of magnetic susceptibility (MS) measurements using anisotropic models that actually represent the spatial aspects of the data. Three cultivation areas and one under native forest, classified as Haplic Alisol, were georeferenced and sampled by a mesh system covering 192 samples per area. Texture, X-ray diffraction and frequency-dependent (χfd) and mass-specific (χlf and χhf) magnetic susceptibility analyzes were performed. Then, classical and geostatistical analyzes were applied to the data, assuming isotropy and anisotropy. All χ frequencies were shown to be spatially dependent, satisfying the isotropy hypothesis. Thereby, the application of anisotropic analysis was able to confirm the presence of all types of anisotropy in Alisols. Anisotropic correction provided an improvement in models that fit the directional trends within the areas, and provided a reduction in the nugget effect and an increase in the correlation ranges. Thus, the generated kriging maps improved the patches of zonal trends of greater or lesser χ that stand out at the level of sub-regions. These zones should, therefore, be used as indicators of variability, paying special attention during their management, especially in research related to the delimitation of specific management zones.en
dc.description.affiliationAmazon Environment and Soil Research Group (GPSAA) Federal University of Amazonas (UFAM), Amazonas
dc.description.affiliationAmazon Environment and Soil Research Group (GPSAA) Center of Agricultural Sciences Federal University of Paraíba (CCA/UFPB), Paraíba
dc.description.affiliationDepartment of Agronomy Federal University of Roraima (UFRR), Roraima
dc.description.affiliationSoil Characterization for Specific Management Research Group (CSME) Faculty of Agrarian and Veterinary Sciences Paulista State University (FCAV/UNESP), São Paulo
dc.description.affiliationDepartment of Soils and Rural Engineering Agricultural Sciences Center Federal University of Paraíba (DSER/CCA/UFPB), Paraíba
dc.description.affiliationFederal Institute of Rondônia (IFRO), Rondônia
dc.description.affiliationUnespSoil Characterization for Specific Management Research Group (CSME) Faculty of Agrarian and Veterinary Sciences Paulista State University (FCAV/UNESP), São Paulo
dc.format.extent419-449
dc.identifierhttp://dx.doi.org/10.1007/s11119-021-09843-6
dc.identifier.citationPrecision Agriculture, v. 23, n. 2, p. 419-449, 2022.
dc.identifier.doi10.1007/s11119-021-09843-6
dc.identifier.issn1573-1618
dc.identifier.issn1385-2256
dc.identifier.scopus2-s2.0-85113821797
dc.identifier.urihttp://hdl.handle.net/11449/229424
dc.language.isoeng
dc.relation.ispartofPrecision Agriculture
dc.sourceScopus
dc.subjectAgricultural conversion
dc.subjectIsotropy
dc.subjectKriging
dc.subjectSoil magnetism
dc.subjectSpatial variability
dc.titleSpatial patterns of magnetic susceptibility optimized by anisotropic correction in different Alisols in southern Amazonas, Brazilen
dc.typeArtigo
unesp.author.orcid0000-0002-4267-5992[1]
unesp.departmentSolos e Adubos - FCAVpt

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Jaboticabal - FCAV - Faculdade de Ciências Agrárias e Veterinárias