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Hoffman CM. Modeling spatial and temporal dynamics of wind flow and potential fire behavior following a mountain pine beetle outbreak in a lodgepole pine forest Linn R, ed. Agricultural and Forest Meteorology. 2015;204.
Hoffman CM, Morgan P, Mell W, et al. Surface Fire Intensity Influences Simulated Crown Fire Behavior in Lodgepole Pine Forests with Recent Mountain Pine Beetle-Caused Tree Mortality. Forest Science. 2012:12. Available at: http://www.ingentaconnect.com/content/saf/fs/pre-prints/forsci11114;jsessionid=8rs2la9bk089.alice.
Holsinger L. Weather, fuels, and topography impede wildland fire spread in western US landscapes Parks SA, ed. Forest Ecology and Management. 2016;380.
Hood SM. Fire and tree death: understanding and improving modeling of fire-induced tree mortality J Varner M, ed. Environmental Research Letters. 2018;13(11). Available at: http://iopscience.iop.org/article/10.1088/1748-9326/aae934/meta.
Hudak AT, Ottmar RD, Vihnanek RE, et al. The relationship of post-fire white ash cover to surface fuel consumption. International Journal of Wildland Fire. 2013;on line early.
Hummel S, Kennedy M, Steel AE. Assessing forest vegetation and fire simulation model performance after the Cold Springs wildfire, Washington, USA. Forest Ecology and Management. 2013;287:12. Available at: http://dx.dol.org/l 0.1 016/j.foreco.2012.08.031.
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Jenkins MJ, Page WG, Hebertson EG, Alexander ME. Fuels and Fire Behavior Dynamics in Bark Beetle-Attacked Forests in Western North America and Implications for Fire Management. Forest Ecology and Management. 2012;275:12. Available at: http://www.google.com/url?sa=t&rct=j&q=fuel%20variability%20following%20wildfire%20in%20forests%20with%20mixed%20severity%20fire%20regimes%2C%20casfuels%20and%20fire%20behavior%20dynamics%20in%20bark%20beetle-attacked%20forests%20in%20western%20north%20am.
Jenkins MJ, Runyon JB, Fettig CJ, Page WG, Bentz BJ. Interactions among the mountain pine beetle, fires, and fuels. Forest Science. 2013;On-line early.PDF icon rmrs_2014_jenkins_m001.pdf (530.8 KB)
Johnston JD. Influence of fire disturbance and biophysical heterogeneity on pre-settlement ponderosa pine and mixed conifer forests Bailey JD, ed. Ecosphere. 2016;7(11).
Johnstone JF. Changing disturbance regimes, ecological memory, and forest resilience Allen CD, ed. Frontiers in Ecology and the Environment. 2016;14(7).
FOFEM: The First-Order Fire Effects Model Adapts to the 21st Century. Joint Fire Science Program; 2009:6. Available at: http://www.firescience.gov/projects/briefs/98-1-8-03_FSBrief62.pdf.
Consume 3.0 -- A Software Tool for Computing Fuel Consumption. Joint Fire Science Program; 2009:6. Available at: http://www.firescience.gov/projects/98-1-9-06/supdocs/98-1-9-06_FSBrief55-Final.pdf.
Behavior Modification: Tempering Fire at the Landscape Level. Joint Fire Science Program; 2008:11. Available at: http://www.firescience.gov/projects/briefs/01-1-3-21_FSBrief5.pdf.
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).
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Kelly LT. Using fire to promote biodiversity Brotons L, ed. Science. 2017;355(6331).
Kennedy PL, Fontaine JB. Synthesis of Knowledge on the Effects of Fire and Fire Surrogates on Wildlife in U.S. Dry Forests. Corvallis, OR: Oregon State University Agricultural Experiment Station; 2009:133. Available at: http://ir.library.oregonstate.edu/xmlui/bitstream/handle/1957/12625/SR1096.pdf?sequence=1.
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).
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.
Knapp EE. Response of understory vegetation to salvage logging following a high-severity wildfire Ritchie MW, ed. Ecosphere. 2016;7(11).
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: http://www.fs.fed.us/psw/publications/documents/psw_gtr224/psw_gtr224.pdf.
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Larson AJ, Belote TR, Cansler AC, Parks SA, Dietz MS. Latent resilience in ponderosa pine forest: effects of resumed frequent fire. Ecological Applications. 2013;23(6):7.PDF icon latent resilience in p pine.pdf (13.78 MB)
Larson AJ. Post-fire morel (Morchella) mushroom abundance, spatial structure, and harvest sustainability C. Cansler A, ed. Forest Ecology and Management. 2016;377.
Laughlin DC. The hierarchy of predictability in ecological restoration: are vegetation structure and functional diversity more predictable than community composition? Strahan RT, ed. Journal of Applied Ecology. 2017;54(4).
Lydersen JM. Relating Fire-Caused Change in Forest Structure to Remotely Sensed Estimates of Fire Severity Collins BM, ed. Fire Ecology. 2016;12(3).

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