Functional analysis of soil chemical attributes using Geographic Information Systems to assess nutrient deficiencies.
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
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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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) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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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1794503551336054784 |