Ryan S Anderson Professor Scott Miller

 Owned by Smithsonian  Located East of Panama Canal  Deforested, then replanted with Teak Trees for economic purposes

 Purpose is the determine correlation between tree growth rates and topographic characteristics

 Clouds!  Low Spatial Resolution

Pearson’s Product Moment R =.92 R 2 =.83

 Influence of Slope, Aspect, and Elevation on Tree Growth  Landscape Positions (Ridge top, Gulley, Hillside)

Slope intensities are defined as: Low: ( degrees) Medium: ( degrees) High: ( degrees)

North: & 0-90 degrees South: degrees

Elevation classifications represent: 1 ( meters) 2 ( meters) 3 ( meters) 4( meters)

H:Hillside GS:Gulley All R:Ridge Tops

Count Mean DBH (mm) Mean Height (m) Slope Low Medium High Aspect North South Elevation Landscape Position Hillside Gulley Ridgetop

 Darker Green Indicates Better Growth Areas  Influence Degrades Over Space  Not as Accurate as Suitability Map

Class Average Slope (degrees)Average Elevation (meters) Class Suitability ValuesAverage Heights (m)Tree Count Class m 29 Class Omitted1 Class m 33 Class m 48 Class m 33

 Maximize Economic Benefit, Reduce Land Use, Money, Time  Model is not Universal  Soil and Moisture Data Necessary to Understand WHY  Back to Panama?

 Teak Tree Point Data, (Dates of Observations: August 2 nd, 2010 and August 3 rd, 2010). Collected at the Agua Salud Project Site, Panama by Ryan S Anderson, Nathaniel HadleyDike, Natalie Macsalka, Brie Richardson, and Aaron Rutledge.  1 Meter LiDar Data, (November 2009). Obtained from J. Dalling, STRI Research Associate, University of Illinois, Urbana- Champaign. Acknowledgement for LiDAR data to Smithsonian Tropical Research Institute (STRI) and NSF DEB to J. Dalling, S. Hubbel and S. Dewalt which funded acquisition of LiDAR data.  Landsat 4-5 TM Satellite Imagery (March 2000). Obtained from USGS Global Visualization Viewer. Path 12, Row meter resolution.

 Bo-Jie Fu, W., Shi-Liang Liu, W., Li-Ding Chen, W., Yi-He Lü, W., & Jun, Q. (2004). “Soil quality regime in relation to land cover and slope position across a highly modified slope landscape.” Ecological Research, 19 (1), doi: /j x.  Joerin, F., M. Thériault, & Musy (2001). "Using GIS and outranking multicriteria analysis for land-use suitability assessment." International Journal of Geographical Information Science 15 (2):  Lu, Y. George, & Wong, W. David (2007). “An adaptive inverse-distance weighting spatial interpolation technique.” Computer & Geosciences 34 (9):  Rezaei, Seyed, & Gilkes, Robert. March “The effects of landscape attributes and plant community on soil physical properties in rangelands.” Geoderma 125 (1-2):  Peper, Paula et al. November “Equations for Predicting Diameter, Height, Crown Width, and Leaf Area of San Joaquin Valley Street Trees.” Journal of Arboriculture 27 (6).  Poulos, H., & Camp, A. (2010). Topographic influences on vegetation mosaics and tree diversity in the Chihuahuan Desert Borderlands. Ecology, 91 (4):  Stone, J. R.Gilliam, J. W.Cassel, D. K.Daniels, R. B.Nelson, L. A.Kleiss, H. J. (1984). Effect of Erosion and Landscape Position on the Productivity of Piedmont Soils. Soil Sci. Soc. Am. J. 49 : 987–991

Questions?