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Environmental Earth Sciences

, 77:642 | Cite as

Soil quality indicator of oxisols grown with sugarcane and native forest in northeastern São Paulo state, Brazil

  • Ludmila de Freitas
  • Marcílio Vieira Martins Filho
  • José Carlos Casagrande
  • Ivanildo Amorim de Oliveira
  • Luiz Gabriel da Silva
Original Article
  • 8 Downloads

Abstract

The evaluation of soil quality is an important tool for degradation monitoring and sustainable management implementation. The objective of this study was to measure physical and chemical soil properties to set soil quality and validate a model of soil quality indicator in latosols (oxisols) under sugarcane cropping and native forest. The study was carried out in the cities of Araras, Santa Ernestina, and Guariba in São Paulo State, Brazil. We collected 24 samples of disturbed and undisturbed soil at 0.0–0.10 m layer from three areas grown with sugarcane and neighboring locations under native woodland. We assessed the following soil properties: (a) chemical—pH in CaCl2, organic matter (OM), phosphorus (P), potassium (K+), calcium (Ca2+), magnesium (Mg2+), potential acidity (H + Al), aluminum (Al3+), and sulfur (S); (b) physical—macro- and microporosity, soil bulk density (Ds), aggregate stability, mean weight diameter (MWD), rill (Kr) and interrill (Ki) global erodibility, shear stress (τc), and magnetic susceptibility (MS). Data underwent multivariate statistics to identify the properties that denote soil quality and to set their weights within the functions of soil quality indicator (SQI). This study showed that the multivariate analysis was efficient in determining which physical and chemical properties were most sensitive, of which we can mention total sand, MS, clay, microporosity, Mg, Ca, pH, and OM. We can therefore conclude that the quality indicators of soils grown with sugarcane were lower than those under forest were, showing the need for adoption of conservation management practices.

Keywords

Soil properties Weighted additive model Multivariate statistics Oxisols 

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Ludmila de Freitas
    • 1
  • Marcílio Vieira Martins Filho
    • 2
  • José Carlos Casagrande
    • 3
  • Ivanildo Amorim de Oliveira
    • 1
  • Luiz Gabriel da Silva
    • 3
  1. 1.Federal Institute of Education Science and Technology of ParáBrevesBrazil
  2. 2.Faculty of Agriculture and Veterinary Sciences, Estadual University PaulistaJaboticabalBrazil
  3. 3.Center for Agrarian Sciences, Federal University of São CarlosArarasBrazil

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