African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6691

Full Length Research Paper

Spatial variability of soil physical and chemical aspects in a Brazil nut tree stand in the Brazilian Amazon

Quêzia Leandro de Moura Guerreiro
  • Quêzia Leandro de Moura Guerreiro
  • Graduate Program in Environmental Sciences, Federal University of Pará, Brazil.
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Raimundo Cosme de Oliveira Júnior
  • Raimundo Cosme de Oliveira Júnior
  • Agroforestry Research Center East Amazon, Brazilian Agricultural Research Corporation, Brazil.
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Gérson Rodrigues dos Santos
  • Gérson Rodrigues dos Santos
  • Department of Statistics, Federal University of Viçosa, Brazil.
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Maria de Lourdes Pinheiro Ruivo
  • Maria de Lourdes Pinheiro Ruivo
  • Department Earth Sciences and Ecology, Paraense Emílio Goeldi Museum, Brazil.
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Troy Patrick Beldini
  • Troy Patrick Beldini
  • Institute for Biodiversity and Forests, Federal University of West Pará, Brazil.
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Eduardo Jorge Maklouf Carvalho
  • Eduardo Jorge Maklouf Carvalho
  • Agroforestry Research Center East Amazon, Brazilian Agricultural Research Corporation, Brazil.
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Katia Emidio da Silva
  • Katia Emidio da Silva
  • Groforestry Research Center of the Western Amazon, Brazilian Agricultural Research Corporation, Brazil.
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Marcelino Carneiro Guedes
  • Marcelino Carneiro Guedes
  • Mapá Agroforestry Research Center, Brazilian Agricultural Research Corporation, Brazil.
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Paulo Roberto Brasil Santos
  • Paulo Roberto Brasil Santos
  • Institute of Science and Technology Waters, Federal University of West Pará, Brazil.
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  •  Received: 27 September 2016
  •  Accepted: 03 January 2017
  •  Published: 26 January 2017

Abstract

The 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.

 

Key words: Geostatistics, Brazil nut, soil, physical properties, chemical properties.