Functional analysis of soil chemical attributes using Geographic Information Systems to assess nutrient deficiencies

Autores

  • MANUELLA VIEIRA BARBOSA NETO Instituto Federal de Educação, Ciência e Tecnologia de Pernambuco-IFPE
  • MARIA do SOCORRO BEZERRA DE ARAÚJO Universidade Federal de Pernambuco
  • JOSÉ COELHO DE ARAÚJO FILHO Embrapa Solos - UEP Recife
  • CRISTIANE BARBOSA DA SILVA
  • EVERARDO VALADARES DE SÁ BARRETTO SAMPAIO Universidade Federal de Pernambuco

DOI:

https://doi.org/10.26848/rbgf.v15.6.p3264-3276

Resumo

Information on soil fertility is essential to determine the need for correcting measures. However, the use of appropriate techniques to provide information on the specific potential of each soil in many agricultural areas is scarce. Soil fertility in an area with family farming was evaluated based on spatialization of soil chemical attributes to indicate their usage limitations. The study area was on the water basin of the Natuba River, in the Mata Centro Zone, Pernambuco state, Brazil. Samples were taken from soils under the most representative agricultural uses and under native vegetation following a slope gradient (top, middle and bottom). Samples were analyzed for their base saturation, cation exchange capacity, aluminum saturation and phosphorus concentration. These parameters were used to indicate their degree of limitation to agricultural use in order to create a georeferenced database and were mapped using a Geographic Information System (GIS). The cultivated Rhodic Acrisol and Eutric Gleisol had the highest fertility, while the Xanthic Acrisol, Chromic Acrisol and Xanthic Ferralsol had the highest usage limitations. Areas used to grow vegetables had higher nutrient availability than those cropped to sugarcane. Spatialization in the GIS system contributed to the overall fertility analysis, allowing a clear visualization of areas that need soil improvement.

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Publicado

2023-03-30

Como Citar

VIEIRA BARBOSA NETO, M., BEZERRA DE ARAÚJO, M. do S., COELHO DE ARAÚJO FILHO, J., BARBOSA DA SILVA, C., & VALADARES DE SÁ BARRETTO SAMPAIO, E. (2023). Functional analysis of soil chemical attributes using Geographic Information Systems to assess nutrient deficiencies. Revista Brasileira De Geografia Física, 15(6), 3264–3276. https://doi.org/10.26848/rbgf.v15.6.p3264-3276

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