Floresta e Ambiente
https://www.floram.org/article/doi/10.1590/2179-8087-FLORAM-2024-0033
Floresta e Ambiente
Original Article Silviculture

Spatial Analysis of Chemical and Textural Soil Attributes in a Multistrata Agroforestry System

Anelise Dias, Emanuel José Gomes de Araújo, Eduardo Vinicius da Silva, Pedro Vaz, Maryna Barbosa Ferreira, Thiago Lisboa Xavier, Rafaella de Angeli Curto

http://dx.doi.org/10.1590/2179-8087-FLORAM-2024-0033 FLORAM, vol.31, n3, e20240033, 2024
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Abstract

The objective was to evaluate the spatial distribution of chemical and textural soil variables in a multistrata agroforestry system. A total of 73 georeferenced soil samples were collected at depths of 10-20 cm and 20-40 cm. The studied parameters were: pH H2O , potential acidity (H+Al), calcium (Ca 2+ ), magnesium (Mg 2+ ), aluminum (Al 3+ ), sodium (Na + ), potassium (K + ), phosphorus (P), organic carbon (C org ), cation exchange capacity (T-value), base saturation (V-value), total clay, total sand, and silt. Principal component analysis (PCA) was performed in R software using the FactoMineR and Factoextra packages. For variables with spatial dependence, ordinary kriging was performed using the best-fitted model. For variables without spatial dependence, inverse distance weighted (IDW) interpolation was applied (power = 2). The spherical model was the best fit for chemical attributes. IDW interpolation accurately mapped the textural attributes. It was concluded that geostatistics enabled a detailed analysis of chemical and textural attributes.

Keywords

Spatial models; kriging; soil conservation; sustainability; agroecology

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Submitted date:
06/25/2024

Accepted date:
08/16/2024

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