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dc.contributor.authorGUERREIRO, Q. L. de M.pt_BR
dc.contributor.authorOLIVEIRA JUNIOR, R. C. dept_BR
dc.contributor.authorSANTOS, G. R. dospt_BR
dc.contributor.authorRUIVO, M. de L. P.pt_BR
dc.contributor.authorBELDINI, T. P.pt_BR
dc.contributor.authorCARVALHO, E. J. M.pt_BR
dc.contributor.authorSILVA, K. E. dapt_BR
dc.contributor.authorGUEDES, M. C.pt_BR
dc.contributor.authorSANTOS, P. R. B.pt_BR
dc.date.accessioned2017-03-07T11:11:11Zpt_BR
dc.date.available2017-03-07T11:11:11Zpt_BR
dc.date.created2017-03-07pt_BR
dc.date.issued2017pt_BR
dc.identifier.citationAfrican Journal of Agricultural Research, v. 12, n. 4, p. 237-250, Jan. 2017.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1066425pt_BR
dc.descriptionThe Brazil nut is considered one of the noblest trees of the Amazon biome and contains social, ecologic and economic importance to this region. The study of the spatial variance of the edaphic properties in native nut trees can direct future researches about more efficient samplings. The Geostatistics is the methodology utilized for this type of study, once that it considers the structural and random characteristics of a variable spatially distributed. This work sought to get a higher knowledge about the distribution of the nutrients in the soil, verifying the relationship with the occurrence of this species, to thereby provide subsidies to future forest management and maintenance/enlargement of the productivity in these areas. The soil samples were collected from 30 × 30 m on the line, in all of the lines in part of the study, totaling 60 samples. All of the points were georeferenced. The preparation of the samples for the sample preparation for the chemical analysis and the methods and calculations to determine the physicochemical variables studied were described by Nogueira and Souza (2005). The statistical and geostatistical analysis were conducted using the R computational environment, version 3.2.2. Most of the studied variables presented defined level. For the physical variables, there was predominance of the adjustment to the model of the gaussian variogram, follower by the spherical model. In the case of the chemical variables, there were two occurrences for each adjustment model (spherical, exponential and gaussian). The variables that best presented spatial relation with the occurrence of Brazil nut trees were the silt, clay, macroporosity, pH, phosphorus, zinc and copper.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectGeoestatísticapt_BR
dc.subjectCastanha do Brasilpt_BR
dc.subjectPropriedades físicaspt_BR
dc.subjectPropriedades químicaspt_BR
dc.titleSpatial variability of soil physical and chemical aspects in a Brazil nut tree stand in the Brazilian Amazon.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2018-03-12T11:11:11Zpt_BR
dc.subject.thesagroSolopt_BR
riaa.ainfo.id1066425pt_BR
riaa.ainfo.lastupdate2018-03-12 -03:00:00pt_BR
dc.identifier.doi10.5897/AJAR2016.11766pt_BR
dc.contributor.institutionQuêzia Leandro de Moura Guerreiro, GRADUANDA UFPA; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; Gérson Rodrigues dos Santos, UFV; Maria de Lourdes Pinheiro Ruivo, MPEG; Troy Patrick Beldini, UFOPA; EDUARDO JORGE MAKLOUF CARVALHO, CPATU; KATIA EMIDIO DA SILVA, CPAA; MARCELINO CARNEIRO GUEDES, CPAF-AP; Paulo Roberto Brasil Santos, UFOPA.pt_BR
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