Data/hora: 24/06/2024 22:15:22

Biblioteca(s): 	Embrapa Solos.	
Data corrente: 	03/11/2023	
Data da última atualização: 	04/12/2023	
Autoria: 	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.	
Afiliação: 	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.	
Título: 	Functional analysis of soil chemical attributes using Geographic Information Systems to assess nutrient deficiencies.	
Ano de publicação: 	2022	
Fonte/Imprenta: 	Revista Brasileira de Geografia Física, v. 15, n. 6, p. 3264-3276, 2022.	
DOI: 	https://doi.org/10.26848/rbgf.v15.6.p3264-3276	
Idioma: 	Inglês	
Notas: 	Título em português: Análise funcional dos atributos químicos do solo usando Sistemas de Informação Geográfica para avaliar as deficiências de nutrientes.	
Conteúdo: 	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.	
Palavras-Chave: 	Agricultural potential; Mapeamento; Mapping; Potencial agrícola.	
Thesagro: 	Fertilidade do Solo.	
Thesaurus Nal: 	Soil fertility.	
Categoria do assunto: 	P Recursos Naturais, Ciências Ambientais e da Terra	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1157708/1/Functional-analysis-of-soil-chemical-attributes-2022.pdf	
Registro original: 	Embrapa Solos (CNPS)	
Exemplares: 	CNPS - (21340-1) - UPC - AP - DD -  -  -  - DIS