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Kyser GB, Peterson VF, Davy JS, DiTomaso JM. Preemergent Control of Medusahead on California Annual Rangelands with Aminopyralid. Rangeland Ecology and Management. 2012;65(4):8. Available at:
Kumagai Y, Daniels SE. Social science in fuel management: an annotated bibliography of prescribed fire. Corvallis: Oregon State University, College of Forestry; 2002:42. Available at: icon RC36.pdf (252.9 KB)
Krueger ES. Soil Moisture Affects Growing-Season Wildfire Size in the Southern Great Plains Ochsner TE, ed. Soil Science Society of America. 2015;79(6).
Kreye JK. The impact of aging on laboratory fire behaviour in masticated shrub fuelbeds of California and Oregon, USA Varner MJ, ed. International Journal of Wildland Fire. 2016;Online early.
Kreye JK, Brewer NW, Morgan P, et al. Fire behavior in masticated fuels: A review. Forest Ecology and Management. 2014;314.
Kreye JK, Varner MJ, Knapp EE. Moisture desorption in mechanically masticated fuels: effects of particle fracturing and fuelbed compaction. International Journal of Wildland Fire. 2012;21:10.
Kreitler J. Cost-effective fuel treatment planning: a theoretical justification and case study Thompson MP, ed. International Journal of Wildland Fire. 2019;29(1).
Kramer HA. Where wildfires destroy buildings in the US relative to the wildland–urban interface and national fire outreach programs Mockrin MH, ed. International Journal of Wildland Fire. 2018;27(5).
Korb JE. What drives ponderosa pine regeneration following wildfire in the western United States? Fornwalt PJ, ed. Forest Ecology and Management. 2019;454.
Kopper KE, McKenzie D, Peterson DL. The evaluation of meta-analysis techniques for quantifying prescribed fire effects on fuel loadings. Portland, OR: US Department of Agriculture, Forest Service, Pacific Northwest Research Station; 2009:24. Available at:
Kolden CA. We’re not doing enough prescribed fire in the western United States to mitigate wildfire risk. Fire. 2019;2.
Kolden CA. Limitations and utilisation of Monitoring Trends in Burn Severity products for assessing wildfire severity in the USA Smith AMS, ed. International Journal of Wildland Fire. 2015;Online early.
Kochanski AK. Toward an integrated system for fire, smoke and air quality simulations Jenkins MAnn, ed. International Journal of Wildland Fire. 2015;Online early.
Koch E. The Passing of the Lolo Trail, with an Introduction by Andrew J. Larson. Fire Ecology. 2016;12(1). Available at:
Koch G. Polishing the Prism: Improving Wildfire Mitigation Planning by Coupling Landscape and Social Dimensions. US Department of Agriculture, Forest Service, Pacific Northwest Research Station; 2016.PDF icon scifi189.pdf (876.76 KB)
Knapp EE, Estes BL, Skinner CN. Ecological Effects of Prescribed Fire Season: A Literature Review and Synthesis for Managers. Redding, CA: US Department of Agriculture, Forest Service, Pacific Southwest Research Station; 2009:80. Available at:
Knapp EE. Response of understory vegetation to salvage logging following a high-severity wildfire Ritchie MW, ed. Ecosphere. 2016;7(11).
Knapp EE, Weatherspoon PC, Skinner CN. Shrub Seed Banks in Mixed Conifer Forests of Northern California and the Role of Fire in Regulating Abundance. Fire Ecology. 2012;8(1):17. Available at:
Knapp EE. Long-term dead wood changes in a Sierra Nevada mixed conifer forest: habitat and fire hazard implications. Forest Ecology and Management. 2015;339.
Kline JD, Kerns BK, Day MA, Hammer RB. Mapping multiple forest threats in the northwestern United States. Journal of Forestry. 2013;111(3).
Kitzberger T. Direct and indirect climate controls predict heterogeneous early-mid 21st century wildfire burned area across western and boreal North America Falk DA, ed. PLOS One. 2017.
Keyser AR. Predicting increasing high severity area burned for three forested regions in the western United States using extreme value theory A. Westerling LR, ed. Forest Ecology and Management. 2019;432.
Kerns BK. Prescribed fire regimes subtly alter ponderosa pine forest plant community structure Day MA, ed. Ecosphere. 2019;Open access.
Kerns BK. The importance of disturbance by fire and other abiotic and biotic factors in driving cheatgrass invasion varies based on invasion stage Day MA, ed. Biological Invasions. 2017;19(6).
Kerns BK. Invasive grasses: A new perfect storm for forested ecosystems? Tortorelli C, ed. Forest Ecology and Management. 2020;463.