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

Nenhuma Miniatura disponível

Data

2018-09-01

Autores

de Freitas, Ludmila
Filho, Marcílio Vieira Martins
Casagrande, José Carlos
de Oliveira, Ivanildo Amorim
da Silva, Luiz Gabriel

Título da Revista

ISSN da Revista

Título de Volume

Editor

Resumo

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.

Descrição

Palavras-chave

Multivariate statistics, Oxisols, Soil properties, Weighted additive model

Como citar

Environmental Earth Sciences, v. 77, n. 18, 2018.

Coleções