Preprints
https://doi.org/10.5194/soil-2019-26
https://doi.org/10.5194/soil-2019-26

  03 Jun 2019

03 Jun 2019

Review status: this discussion paper is a preprint. It has been under review for the journal SOIL (SOIL). The manuscript was not accepted for further review after discussion.

Spatial variability and sampling density of chemical attributes in archaeological black earths under pasture in southern Amazonas, Brazil

Alan F. L. de Lima1, Milton C. C. Campos1, José M. da Cunha1, Laércio S. Silva2, Flávio P. de Oliveira3, Bruno C. Mantovanelli4, Elilson G. de Brito Filho1, and Romário P. Gomes2 Alan F. L. de Lima et al.
  • 1Universidade Federal do Amazonas (UFAM), Humaitá, Amazonas, 69800-000, Brasil
  • 2Universidade Estadual Paulista (UNESP), Jaboticabal,São Paulo, 14870-180, Brasil
  • 3Universidade Federal da Paraíba (UFPB), Areia, Paraíba, 58397-000, Brasil
  • 4Universidadae Federal de Santa Maria (UFSM), Santa Maria, Rio Grande do Sul, 97110-566, Brasil

Abstract. Spatial mapping of soil chemical attributes is essential for sampling efficiency and agricultural planning management, ensuring a regional development and sustainability of the unique characteristics of archaeological black earths (ABEs). Thus, this study was developed aiming at assessing the spatial variability and sampling density of chemical attributes in soils of ABEs under pasture in southern Amazonas, Brazil. A sampling grid of 56 × 80 m with regular spacings of 8 m was installed in the experimental area and samples were taken from the crossing points at depths of 0.0–0.05, 0.05–0.10, and 0.10–0.20 m, totaling 264 georeferenced points. The chemical attributes pH in water, organic carbon, Ca, Mg, K, P, Al, and potential acidity were determined in these samples, while CEC, SB, V, t, T, and m were calculated. The attributes present a spatial dependence varying from strong to moderate, being Al3+ the only chemical attribute that does not present a spatial dependence structure in the assessed depths. Scaled semivariograms satisfactorily reproduce the spatial behavior of attributes in the same pattern of individual semivariograms, allowing their use to estimate the variability of soil attributes. Sampling density is higher at a depth of 0.0–0.05 m, requiring 2 and 1 point ha−1 at depths of 0.05–0.10 and 0.10–0.20 m, respectively, to represent the spatial pattern of chemical attributes.

Alan F. L. de Lima et al.

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Alan F. L. de Lima et al.

Alan F. L. de Lima et al.

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Short summary
The work has as contribution, to develop and to present results evidencing that the knowledge about spatial mapping of soil chemical attributes is essential for sampling efficiency and agricultural planning management, ensuring a regional development and sustainability of the unique characteristics of archaeological black earths (ABEs).