Project: Effects of soil-borne resources on the structure and dynamics of lowland tropical forests

James Dalling

Dept. of Plant Biology,

505 S Goodwin Ave. University of Illinois,

Urbana, IL 61801, USA

dallingj@life.uiuc.edu

Kyle Harms

Dept. of Biological Sciences,

Louisiana State University,

202 Life Sciences Bldg., Baton Rouge, LA 70803, USA

kharms@lsu.edu

Joseph YavittDept. of Natural Resources,

16 Fernow Hall,

Cornell University,

Ithaca, NY 14853, USA

jby1@cornell.edu

Robert Stallard

U.S. Geological Survey-WRD, 3215 Marine Street, Boulder, CO 80303, USA

stallard@colorado.edu

Principal Investigators:

Post-doctoral Associate:

Robert John-ChandranDept. of Plant Biology,

505 S Goodwin Ave.

University of Illinois,

Urbana, IL 61801, USA

robertjc@life.uiuc.edu

For more information aboutthese data please contactJim Dallingdallingj@life.uiuc.edu

AcknowledgementsPlease acknowledge the following agencies that provided funding for the collection and analyses of these data

NSF DEB021104,021115, 0212284,0212818 and OISE 0314581

STRI Soils Initiative and CTFS

Thanks to Paolo Segre and Juan Di Trani for assistance in the field

Soil variable Lambda Trend order Model Nugget Partial sillEffective

range (m)Al 1.0 2 Exponential 10801.7 68415.3 155.0B 0.5 2 Exponential 0.04053 0.3649 100.0Ca 0.5 2 Exponential 21.29 425.6 56.5Cu 1.0 2 Exponential 0.9552 4.54 179.1Fe 0.5 2 Exponential 2.95 15.83 146.6K 0.0 2 Exponential 0.0875 0.2193 78.5Mg 0.5 2 Exponential 5.73 64.27 85.2Mn 0.5 2 Exponential 2.846 133.5 212.8P 0.5 2 Exponential 0.4556 1.471 204.5Zn 0.5 2 Exponential 0.00662 2.135 33.3N 0.0 2 Spherical 0.0754 0.0986 239.5Nmin 0.5 1 Spherical 6.23 2.192 141.1pH 1.0 2 Exponential 0.0172 0.1403 220.7

Table 1. Variogram model fit parameters for soil properties for the BCI 50-ha plot. The measured data values were first transformed using Box-Cox transformation, and then a polynomial trend surface regression was fitted. The residuals from the trend surface regression were used to compute empirical variograms, to which variogram models were fitted. Lambda is the Box-Cox parameter, and trend order indicates the order of the polynomial regression. Effective range for the Exponential variogram model is estimated at 3 times the fitted range because the variogram approaches the sill only asymptotically.

Maps: Filled-contour maps plotted using block average data.

pH

Maps: Filled-contour maps plotted using block average data.

Aluminum (Al): mg / kg of oven-dried soil

Maps: Filled-contour maps plotted using block average data.

Boron (B): mg / kg of oven-dried soil

Maps: Filled-contour maps plotted using block average data.

Calcium (Ca): mg / kg of oven-dried soil

Maps: Filled-contour maps plotted using block average data.

Copper (Cu): mg / kg of oven-dried soil

Maps: Filled-contour maps plotted using block average data.

Iron (Fe): mg / kg of oven-dried soil

Maps: Filled-contour maps plotted using block average data.

Potassium (K): mg / kg of oven-dried soil

Maps: Filled-contour maps plotted using block average data.

Magnesium (Mg): mg / kg of oven-dried soil

Maps: Filled-contour maps plotted using block average data.

Manganese (Mn): mg / kg of oven-dried soil

Maps: Filled-contour maps plotted using block average data.

Nitrogen (N): mg / kg of oven-dried soil

Maps: Filled-contour maps plotted using block average data.

Nitrogen mineralisation: mg / kg of oven-dried soil

Maps: Filled-contour maps plotted using block average data.

Phosphorus (P): mg / kg of oven-dried soil

Maps: Filled-contour maps plotted using block average data.

Zinc (Zn): mg / kg of oven-dried soil