Premium
Assessment of the Spatial Distribution of Soil Properties in a Northern Everglades Marsh
Author(s) -
Corstanje R.,
Grunwald S.,
Reddy K. R.,
Osborne T. Z.,
Newman S.
Publication year - 2006
Publication title -
journal of environmental quality
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.888
H-Index - 171
eISSN - 1537-2537
pISSN - 0047-2425
DOI - 10.2134/jeq2005.0255
Subject(s) - environmental science , spatial variability , hydrology (agriculture) , soil carbon , soil science , soil horizon , spatial distribution , soil test , vegetation (pathology) , phosphorus , spatial heterogeneity , loss on ignition , soil water , ecology , environmental chemistry , geology , chemistry , remote sensing , medicine , statistics , mathematics , geotechnical engineering , organic chemistry , pathology , biology
Florida Everglades restoration plans are aimed at maintaining and restoring characteristic landscape features such as soil, vegetation, and hydrologic patterns. This study presents the results from an exhaustive spatial sampling of key soil properties in Water Conservation Area 1 (WCA 1), which is part of the northern Everglades. Three soil strata were sampled: floc, upper 0‐ to 10‐cm soil layer, and 10‐ to 20‐cm soil layer. A variety of properties were measured including bulk density (BD), loss on ignition (LOI), total phosphorus (TP), total inorganic phosphorus (TIP), total nitrogen (TN), total carbon (TC), total iron (TFe), total magnesium (TMg), total aluminum (TAl), and total calcium (TCa). Interpolated maps and model prediction uncertainties of properties were generated using geostatistical methods. We found that the uncertainty associated with spatial predictions of floc, particularly floc BD, was highest, whereas spatial predictions of soil chemical properties such as soil Ca were more accurate. The resultant spatial patterns for these soil properties identified three predominant features in WCA 1: (i) a north to south gradient in soil properties associated with the predominant hydrological gradient, (ii) areas of considerable soil nutrient enrichment along the western canal of WCA 1, and (iii) areas of considerable Fe enrichment along the eastern canal. By using geostatistical techniques we were able to describe the spatial dynamics of soil variables and express these predictions with an acceptable level of uncertainty.