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

Detalhes bibliográficos
Autor(a) principal: BARBOSA NETO, M. V.
Data de Publicação: 2022
Outros Autores: ARAÚJO, M. do S. B. de, ARAUJO FILHO, J. C. de, SILVA, C. B. da, SAMPAIO, E. V. de S. B.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1157708
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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spelling Functional analysis of soil chemical attributes using Geographic Information Systems to assess nutrient deficiencies.Potencial agrícolaMapeamentoAgricultural potentialMappingFertilidade do SoloSoil fertilityInformation 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.Título em português: Análise funcional dos atributos químicos do solo usando Sistemas de Informação Geográfica para avaliar as deficiências de nutrientes.MANUELLA VIEIRA BARBOSA NETO, INSTITUTO FEDERAL DE EDUCAÇÃO, CIÊNCIA E TECNOLOGIA DE PERNAMBUCO; MARIA DO SOCORRO BEZERRA DE ARAÚJO, UNIVERSIDADE FEDERAL DE PERNAMBUCO; JOSE COELHO DE ARAUJO FILHO, CNPS; CRISTIANE BARBOSA DA SILVA, UNIVERSIDADE FEDERAL DE PERNAMBUCO; EVERARDO VALADARES DE SÁ BARRETTO SAMPAIO, UNIVERSIDADE FEDERAL DE PERNAMBUCO.BARBOSA NETO, M. V.ARAÚJO, M. do S. B. deARAUJO FILHO, J. C. deSILVA, C. B. daSAMPAIO, E. V. de S. B.2023-11-03T12:30:26Z2023-11-03T12:30:26Z2023-11-032022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Brasileira de Geografia Física, v. 15, n. 6, p. 3264-3276, 2022.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1157708https://doi.org/10.26848/rbgf.v15.6.p3264-3276enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-11-03T12:30:26Zoai:www.alice.cnptia.embrapa.br:doc/1157708Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-11-03T12:30:26falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-11-03T12:30:26Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Functional analysis of soil chemical attributes using Geographic Information Systems to assess nutrient deficiencies.
title Functional analysis of soil chemical attributes using Geographic Information Systems to assess nutrient deficiencies.
spellingShingle Functional analysis of soil chemical attributes using Geographic Information Systems to assess nutrient deficiencies.
BARBOSA NETO, M. V.
Potencial agrícola
Mapeamento
Agricultural potential
Mapping
Fertilidade do Solo
Soil fertility
title_short Functional analysis of soil chemical attributes using Geographic Information Systems to assess nutrient deficiencies.
title_full Functional analysis of soil chemical attributes using Geographic Information Systems to assess nutrient deficiencies.
title_fullStr Functional analysis of soil chemical attributes using Geographic Information Systems to assess nutrient deficiencies.
title_full_unstemmed Functional analysis of soil chemical attributes using Geographic Information Systems to assess nutrient deficiencies.
title_sort Functional analysis of soil chemical attributes using Geographic Information Systems to assess nutrient deficiencies.
author BARBOSA NETO, M. V.
author_facet BARBOSA NETO, M. V.
ARAÚJO, M. do S. B. de
ARAUJO FILHO, J. C. de
SILVA, C. B. da
SAMPAIO, E. V. de S. B.
author_role author
author2 ARAÚJO, M. do S. B. de
ARAUJO FILHO, J. C. de
SILVA, C. B. da
SAMPAIO, E. V. de S. B.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv MANUELLA VIEIRA BARBOSA NETO, INSTITUTO FEDERAL DE EDUCAÇÃO, CIÊNCIA E TECNOLOGIA DE PERNAMBUCO; MARIA DO SOCORRO BEZERRA DE ARAÚJO, UNIVERSIDADE FEDERAL DE PERNAMBUCO; JOSE COELHO DE ARAUJO FILHO, CNPS; CRISTIANE BARBOSA DA SILVA, UNIVERSIDADE FEDERAL DE PERNAMBUCO; EVERARDO VALADARES DE SÁ BARRETTO SAMPAIO, UNIVERSIDADE FEDERAL DE PERNAMBUCO.
dc.contributor.author.fl_str_mv BARBOSA NETO, M. V.
ARAÚJO, M. do S. B. de
ARAUJO FILHO, J. C. de
SILVA, C. B. da
SAMPAIO, E. V. de S. B.
dc.subject.por.fl_str_mv Potencial agrícola
Mapeamento
Agricultural potential
Mapping
Fertilidade do Solo
Soil fertility
topic Potencial agrícola
Mapeamento
Agricultural potential
Mapping
Fertilidade do Solo
Soil fertility
description 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.
publishDate 2022
dc.date.none.fl_str_mv 2022
2023-11-03T12:30:26Z
2023-11-03T12:30:26Z
2023-11-03
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Revista Brasileira de Geografia Física, v. 15, n. 6, p. 3264-3276, 2022.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1157708
https://doi.org/10.26848/rbgf.v15.6.p3264-3276
identifier_str_mv Revista Brasileira de Geografia Física, v. 15, n. 6, p. 3264-3276, 2022.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1157708
https://doi.org/10.26848/rbgf.v15.6.p3264-3276
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
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repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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