Data/hora: 09/06/2024 06:31:19

Provedor de dados: 	Pesquisa Agropecuária Brasileira	
País: 	Brazil	
Título: 	Mapping soil carbon, particle-size fractions, and water retention in tropical dry forest in Brazil	
Autores: 	Vasques,Gustavo Mattos; Coelho,Maurício Rizzato; Dart,Ricardo Oliveira; Oliveira,Ronaldo Pereira; Teixeira,Wenceslau Geraldes.	
Data: 	2016-09-01	
Ano: 	2016	
Palavras-chave: 	Caatinga; Digital soil mapping; Gamma radiometric survey; Geostatistics; Pedometrics.	
Resumo: 	Abstract The objective of this work was to compare ordinary kriging with regression kriging to map soil properties at different depths in a tropical dry forest area in Brazil. The 11 soil properties evaluated were: organic carbon content and stock; bulk density; clay, sand, and silt contents; cation exchange capacity; pH; water retention at field capacity and at permanent wilting point; and available water. Samples were taken from 327 sites at 0.0-0.10, 0.10-0.20, and 0.20-0.40-m depths, in a tropical dry forest area of 102 km2. Stepwise linear regression models for particle-size fractions and water retention properties had the best fit. Relief and parent material covariates were selected in 31 of the 33 models (11 properties at three depths) and vegetation covariates in 29 models. Based on external validation, ordinary kriging obtained higher accuracy for 21 out of 33 property x depth combinations, indicating that the inclusion of a linear trend model before kriging does not necessarily improve predictions. Therefore, for similar studies, the geostatistical methods employed should be compared on a case-by-case basis.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2016000901371	
Editor: 	Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira	
Relação: 	10.1590/s0100-204x2016000900036	
Formato: 	text/html	
Fonte: 	Pesquisa Agropecuária Brasileira  v.51 n.9 2016	
Fonte: 	info:eu-repo/semantics/openAccess