“…Commonly, univariate geospatial methods are used to model the distribution and variation of soil properties in wetland ecosystems. For example, Newman et al (1997) predicted soil NH 4 -nitrogen, soluble reactive phosphorus, total phosphorus (TP), and total nitrogen (TN) in a subtropical wetland in Florida; DeBusk et al (2001) predicted TP in Water Conservation Area-2A (WCA-2A), Everglades; Litaor et al (2003) predicted soil phosphorus, iron, aluminum, calcium and degree of phosphorus saturation in a semiarid wetland; and Bruland and Richardson (2005) predicted soil organic matter and sand content in four paired created/restored and natural wetland sites in the Coastal Plain of North Carolina. Since anthropogenically-induced phosphorus inputs stimulate microbial, periphyton and macrophyte growth in naturally oligotrophic wetlands, it is critical to describe spatial patterns of soil phosphorus to better understand processes of phosphorus retention, availability and release.…”