16-3 Assessing the Spatial Variability of Soils in Uganda on the National Scale.
See more from this Division: ASA Section: Global Agronomy
See more from this Session: Global Agronomy: I
Abstract:
This study used a 2003 Uganda National Household Survey dataset that included analyses of 2,185 soil samples that covered western, southwestern and northwestern Uganda, representing ~50% of the country. Variables included pH, organic matter, total N, available K, total K, total P, and soil texture (Nkonya et al., 2008). Ordinary kriging was used for spatial analysis, while a generalized linear model was used to identify the most dominant factor(s) influencing soil variability. Distances where spatial correlation occurred ranged between 69 and 230 km. Interpolated soil quality maps identified the Mt. Elgon and the southwestern highlands regions as having soils above the critical soil chemical and physical thresholds, indicating that these are the most favorable agricultural areas in the country. There was no dominant factor that solely explained the variability of all the soil properties. However, climate had the strongest effect on the variability of total N, with higher soil N found in the cooler, higher elevations of Mt. Elgon and the southwestern highlands.
See more from this Division: ASA Section: Global Agronomy
See more from this Session: Global Agronomy: I