Chris Stalling

Biologist
chris.stalling@usda.gov
(406) 829-7386

Personal Summary

Christine Stalling is a Biologist with the Fire, Fuels and Smoke Program at the Missoula Fire Sciences Lab. Before moving to the Fire Lab, Chris was with the Forestry Sciences Lab where she was involved in projects analyzing landscape change using collaborative simulation modeling and GIS.

Selected Publications & Products

Stalling, C. M. 2013. The Need for Data Integration to Achieve Forest Sustainability: Modeling and Assessing the Impacts of Wildland Fire on Eastern Landscapes. In: Remote Sensing and Modeling Applications to Wildland Fires (pp. 281-291).Springer Berlin Heidelberg.

Chew, Jimmie D.; Moeller, Kirk; Stalling, Christine. 2012. SIMPPLLE, version 2.5 user's guide. Gen. Tech. Rep. RMRS-GTR-268. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 363 p. 

Jones, G., Chew, J., Silverstein, R., Stalling, C., Sullivan, J., Troutwine, J., Weise, D., & Garwood, D. 2008. Spatial analysis of fuel treatment options for chaparral on the Angeles National Forest. In: Proceedings of the 2002 fire conference: Managing Fire and Fuels in the Remaining Wildlands and open spaces of the Southwestern United States. Gen. Tech. Rep. PSW-GTR-189.

Chew, J., Bollenbacher, B., & Stalling, C. 2007. Modeling impacts on the levels of sustainable resources from increased wildfire acres associated with potential climate changes. In: Bringing Climate Change into Natural Resource Management, workshop proceedings. United States Dept. of Agriculture Forest Service General Technical Report PNW, 706, 142.

Stalling, C. M. 2005. A collaborative approach to forest management: Using a landscape-level dynamic simulation model as a tool to enhance communication among diverse landowners. In: Balancing Ecosystem Values: Innovative Experiments for Sustainable Forestry. United States Dept. of Agriculture Forest Service General Technical Report PNW, 635, 309.

Chew, J. D., Stalling, C., & Moeller, K. (2004). Integrating knowledge for simulating vegetation change at landscape scales. Western Journal of Applied Forestry, 19(2), 102-108.