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Juang CS, Williams AP, Abatzoglou JT, et al. Rapid Growth of Large Forest Fires Drives the Exponential Response of Annual Forest-Fire Area to Aridity in the Western United States. Geophysical Research Letters. 2022;49.PDF icon Juang et al_2022_Rapid growth of large forest fires drives exponential response of annual forest-fire area to aridity in western US.pdf (1.25 MB)
Jones BM. Recent Arctic tundra fire initiates widespread thermokarst development. (Grosse G, ed.).; 2015.
Jones GM. Megafires: an emerging threat to old-forest species Gutiérrez RJ, ed. Frontiers in Ecology and the Environment. 2016;14(6).
Jones R. Effect of repeated burning on plant and soil carbon and nitrogen in cheatgrass (Bromus tectorum) dominated ecosystems Chambers JC, ed. Plant and Soil. 2015;386(1).
Jones KW. Return on investment from fuel treatments to reduce severe wildfire and erosion in a watershed investment program in Colorado Cannon JB, ed. Journal of Environmental Management. 2017;198(Part 2).
Jolly MW. Pyro-Ecophysiology: Shifting the Paradigm of Live Wildland Fuel Research Johnson DM, ed. Fire. 2018;1(1).
W Jolly M. Climate-induced variations in global wildfire danger from 1979 to 2013 Cochrane MA, ed. Nature Commuications. 2015;6.
Jolly WM. Towards improving wildland firefighter situational awareness through daily fire behaviour risk assessments in the US Northern Rockies and Northern Great Basin Freeborn PH, ed. International Journal of Wildland Fire. 2017;26(7).
Jolly WM. Severe Fire Danger Index: A Forecastable Metric to Inform Firefighter and Community Wildfire Risk Management Freeborn PH, ed. Fire. 2019;2(3).
Filling in the Blanks for Prescribed Fire in Shrublands: Developing Information to Support Improved Fire Planning. Joint Fire Science Program; 2009:6. Available at:
Ponderosa Pine Biomass Relationships Vary with Site Treatment and Site Productivity. Joint Fire Science Program; 2011:6. Available at:
ArcFuels: Integrating Wildfire Models and Risk Analysis into Landscape Fuels Management. Joint Fire Science Program; 2009:11. Available at:
FOFEM: The First-Order Fire Effects Model Adapts to the 21st Century. Joint Fire Science Program; 2009:6. Available at:
Joint Fire Science Program 2019 Progress Report.; 2020.PDF icon FINAL_JFSP2019ProgressReport_092120.pdf (8.31 MB)
Masticating Fuels: Effects on Prescribed Fire Behavior and Subsequent Vegetation Effects. Joint Fire Science Program; 2009:6. Available at:
The Forest, the Fire and the Fungi: Studying the Effects of Prescribed Burning on Mycorrhizal Fungi in Crater Lake National Park. Joint Fire Science Program; 2009:12. Available at:
Consume 3.0 -- A Software Tool for Computing Fuel Consumption. Joint Fire Science Program; 2009:6. Available at:
Predicting Dry Lightning Risk Nationwide.; 2012. Available at:
Introducing FuelCalc: A New Tool that Helps Turn Static Inventory Data into Actionable Information. Joint Fire Science Program; 2010:6. Available at:
In a Ponderosa Pine Forest, Prescribed Fires Reduce the Likelihood of Scorched Earth. Joint Fire Science Program; 2008:11. Available at:
Behavior Modification: Tempering Fire at the Landscape Level. Joint Fire Science Program; 2008:11. Available at:
Assessing Fuel Treatment Effectiveness After the Tripod Complex Fires. Joint Fire Science Program; 2011:6. Available at:
The Science of Fuel Treatments.; 2017.PDF icon FuelTreatment Fact Sheet.pdf (3.15 MB)
Fire-resistant Plants for Home Landscapes: Selecting plants that may reduce your risk from wildfire. Pacific Northwest Extension; 2006:48. Available at: .
Johnstone JF. Changing disturbance regimes, ecological memory, and forest resilience Allen CD, ed. Frontiers in Ecology and the Environment. 2016;14(7).