The purpose of this study was to assess the spatial variability of residual soil nitrate, measured in three contiguous 16 ha fields. Available data for residual soil nitrate were examined using conventional statistics. Data tended to be skewed with the mean greater than the median. Geostatistical methods were used to characterize and model the spatial structure. Three dimensional spatial variability was examined using two semivariograms: horizontal-spatial and vertical. Two dimensional horizontal-spatial semivariograms were also computed for each 0.3m (1ft) layer. Semivariogram analysis showed that there were similarities in the patterns of spatial variability for all fields. The results suggest that the spatial patterns in residual soil ni...
Graduation date: 1996The contamination of ground water resources represents a serious\ud problem and...
Analysis of the spatial variability of groundwater NO3 –N concentration is a logical step for a mean...
This research addresses the non-point source (NPS) contamination problem by developing a methodology...
The purpose of this study was to assess the spatial variability of residual soil nitrate, measured i...
Neglecting the spatial variation in soil nutrient status may result in unused yield potential and in...
The use of simple geostatistical tools is often constrained by data trend (nonstationarity) to chara...
This thesis focuses on the optimisation of N fertiliser application, taking into account spatially v...
High levels of residual soil NO3–N can contaminate ground water by leaching through the soil. Our ob...
Understanding the factors that influence soil and plant nitrogen (N) spatial variability may improve...
Small-scale spatial variability of selected soil-test parameters in two adjacent central Iowa fields...
Knowledge of variability and spatial structure of soil properties is essential for optimal design fo...
This thesis treats the impact of soil spatial variability on spatial variability of simulated land q...
The technology for site-specific applications of nitrogen (N) fertilizer has exposed a gap in our kn...
The objective of this study was to investigate the spatial variability of different physical and che...
Understanding field nutrient variability may improve our ability to increase agronomic profitability...
Graduation date: 1996The contamination of ground water resources represents a serious\ud problem and...
Analysis of the spatial variability of groundwater NO3 –N concentration is a logical step for a mean...
This research addresses the non-point source (NPS) contamination problem by developing a methodology...
The purpose of this study was to assess the spatial variability of residual soil nitrate, measured i...
Neglecting the spatial variation in soil nutrient status may result in unused yield potential and in...
The use of simple geostatistical tools is often constrained by data trend (nonstationarity) to chara...
This thesis focuses on the optimisation of N fertiliser application, taking into account spatially v...
High levels of residual soil NO3–N can contaminate ground water by leaching through the soil. Our ob...
Understanding the factors that influence soil and plant nitrogen (N) spatial variability may improve...
Small-scale spatial variability of selected soil-test parameters in two adjacent central Iowa fields...
Knowledge of variability and spatial structure of soil properties is essential for optimal design fo...
This thesis treats the impact of soil spatial variability on spatial variability of simulated land q...
The technology for site-specific applications of nitrogen (N) fertilizer has exposed a gap in our kn...
The objective of this study was to investigate the spatial variability of different physical and che...
Understanding field nutrient variability may improve our ability to increase agronomic profitability...
Graduation date: 1996The contamination of ground water resources represents a serious\ud problem and...
Analysis of the spatial variability of groundwater NO3 –N concentration is a logical step for a mean...
This research addresses the non-point source (NPS) contamination problem by developing a methodology...