Forest Biometrics develops statistical and mathematical tools for collecting, analyzing, and projecting data to generate information for supporting sustainable forest management. Tools include sampling and measurement methods for inventorying current conditions and monitoring change over time, empirical and process-based modeling, and experimental design and analysis of forest resources and ecosystems.

My recent research efforts have focused on quantitative aspects of forest restoration ecology, productivity of forest species in the southwestern U.S., and spatially-explicit error analysis of simulation modeling. 

Education

B.S., National University of Santiago del Estero, Argentina, 1990
M.S., University of Illinois at Urbana - Champaign, 1994
Ph.D., University of Illinois at Urbana - Champaign, 1998

Contact Information

Fall 2008 Courses

Past Courses Taught

Selected Publications (since 2000)

Parysow, P., Wang, G., G.Z. Gertner, and A. Anderson. 2003. Spatial Uncertainty Analysis For Mapping Soil Erodibility Based on Joint Sequential Simulation. CATENA - Interdisciplinary Journal of Soil Science/Hydrology/Geomorphology 53: 65–78.

Parysow, P. and D.J. Tazik. 2002. Assessing the Effect of Estimation Error on Population Viability Analysis: An Example Using the Black-Capped Vireo. Ecological Modelling 155: 217-229

Wang, G., G. Gertner, V. Singh, S. Shinkareva, P. Parysow, A. Anderson. 2002. Spatial and Temporal Prediction Uncertainty Analysis of Rainfall and Runoff Erosivity for revised Universal Soil Loss Equation. Ecological Modelling 153: 143-155 (Special Issue on Modeling Complex Ecological Systems)

Parysow, P., Wang, G., G.Z. Gertner, and A. Anderson. 2001. Assessing Uncertainty of Erodibility Factor in National Cooperative Soil Surveys: A Case Study at Fort Hood, Texas. Journal of Soil and Water Conservation 56: 207-211.

Wang, G., G.Z. Gertner, P. Parysow and A. Anderson. 2001. Spatial prediction and uncertainty assessment of topographic factor for revised universal soil loss equation using digital elevation models. ISPRS Journal of Photogrammetry and Remote Sensing 56: 65-80.

Parysow, P., G. Gertner and J. Westervelt. 2000. Efficient approximation for building error budgets for process models. Ecological Modelling 135: 111-125.

Wang, G., G.Z. Gertner, P. Parysow and A. Anderson. 2000. Spatial prediction and uncertainty analysis of topographic factors for the Revised Universal Soil Loss Equation (RUSLE). Journal of Soil and Water Conservation 55: 374-384.

Last Updated ( Wednesday, 28 November 2007 )