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| Teixeira,Daniel De Bortoli; Bicalho,Elton da Silva; Panosso,Alan Rodrigo; Perillo,Luciano Ito; Iamaguti,Juliano Luciani; Pereira,Gener Tadeu; La Scala Jr,Newton. |
| The soil CO2 emission has high spatial variability because it depends strongly on soil properties. The purpose of this study was to (i) characterize the spatial variability of soil respiration and related properties, (ii) evaluate the accuracy of results of the ordinary kriging method and sequential Gaussian simulation, and (iii) evaluate the uncertainty in predicting the spatial variability of soil CO2 emission and other properties using sequential Gaussian simulations. The study was conducted in a sugarcane area, using a regular sampling grid with 141 points, where soil CO2 emission, soil temperature, air-filled pore space, soil organic matter and soil bulk density were evaluated. All variables showed spatial dependence structure. The soil CO2 emission... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soil respiration; Geostatistics; Ordinary kriging; Sequential Gaussian simulation; Sugarcane. |
| Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832012000500010 |
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| Mendonça,Patrícia Gabarra; Silva Júnior,João Fernandes da; Oliveira,Ismênia Ribeiro de; Teixeira,Daniel De Bortoli; Moitinho,Mara Regina; Martins Filho,Marcílio Vieira; Marques Júnior,José; Pereira,Gener Tadeu. |
| The assessment of spatial uncertainty in the prediction of nutrient losses by erosion associated with landscape models is an important tool for soil conservation planning. The purpose of this study was to evaluate the spatial and local uncertainty in predicting depletion rates of soil nutrients (P, K, Ca, and Mg) by soil erosion from green and burnt sugarcane harvesting scenarios, using sequential Gaussian simulation (SGS). A regular grid with equidistant intervals of 50 m (626 points) was established in the 200-ha study area, in Tabapuã, São Paulo, Brazil. The rate of soil depletion (SD) was calculated from the relation between the nutrient concentration in the sediments and the chemical properties in the original soil for all grid points. The data were... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Green cane harvesting; Burnt cane harvesting; Geostatistics; Landforms; Sequential Gaussian simulation. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832015000401181 |
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| Siqueira,Tirzah M.; Louzada,José A. S.; Pedrollo,Olavo C.; Castro,Nilza M. dos R.; Oliveira,Marquis H. C. de. |
| ABSTRACT Geostatistical simulation has been the most promising and used technique for the analysis of uncertainties of soil physical and hydraulic properties, with high spatial heterogeneity. This study carried out a stochastic analysis of saturated hydraulic conductivity (Ksat) and soil water retention curve parameters in the Donato stream basin, located in the municipality of Pejuçara, in the state of Rio Grande do Sul, Brazil, with geographic coordinates between 28º 25’ 34” S and 53º 40’ 30” W, and 28º 24’ 50” S and 53º 41’ 30” W, 590 m of altitude. Soil samples were collected during the period from August to November of 2012. Sequential Gaussian simulation technique was used to generate 100 random fields of each variable. The results showed great... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Sequential Gaussian simulation; Random fields; Spatial variability analysis. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000900675 |
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