Publications Library

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Block WM. Effects of Prescribed Fire on Wildlife and Wildlife Habitat in Selected Ecosystems of North America. (L. Conner M, ed.). Bethesda, Maryland, USA: The Wildlife Society; 2016:69 p.PDF icon TechManual16-01FINAL.pdf (3.21 MB)
Johnson M, Halofsky J, Peterson DL. Effects of salvage logging and pile-and-burn on fuel loading, potential fire behavior, fuel consumption and emissions. International Journal of Wildland Fire. 2013;on line early.
Matosziuk LM. Effects of season and interval of prescribed burns on pyrogenic carbon in ponderosa pine stands in the southern Blue Mountains, Oregon, USA Alleau Y, ed. Geoderma. 2019;348.
Willms J. The effects of thinning and burning on understory vegetation in North America: A meta-analysis Bartuszevige A, ed. Forest Ecology and Management. 2017;392.
Abella SR. Effects of tree cutting and fire on understory vegetation in mixed conifer forests Springer JD, ed. Forest Ecology and Management. 2015;335.
Endress BA, Wisdom MJ, Vavra M, et al. Effects of Ungulate Herbivory on Aspen, Cottonwood, and Willow Development Under Forest Fuels Treatment Regimes. Forest Ecology and Management. 2012;276:8. Available at: http://www.sciencedirect.com/science/article/pii/S0378112712001843.
Huffman DW. Efficacy of resource objective wildfires for restoration of ponderosa pine (Pinus ponderosa) forests in northern Arizona Meador AJSánche, ed. Forest Ecology and Management. 2017;389.
Yedinak KM. Embracing Complexity to Advance the Science of Wildland Fire Behavior Strand EK, ed. Fire. 2018;1(2).
Abrams J. The emergence of network governance in U.S. National Forest Administration: Causal factors and propositions for future research. Forest Policy and Economics. 2019;106.
Aurell J. Emissions from prescribed burning of timber slash piles in Oregon Gullett BK, ed. Atmospheric Environment. 2017;150.
O'Connor CD. An empirical machine learning method for predicting potential fire control locations for pre-fire planning and operational fire management Calkin DE, ed. International Journal of Wildland Fire. 2017;26(7).
Price O. An empirical wildfire risk analysis: the probability of a fire spreading to the urban interface in Sydney, Australia Borah R, ed. International Journal of Wildland Fire. 2015;Online early.
Bone C. Employing resilience in the United States Forest Service Moseley C, ed. Land Use Policy. 2016;52.
Palsa E, Bauer M, Evers C, Hamilton M, Nielsen-Pincus M. Engagement in local and collaborative wildfire risk mitigation planning across the western U.S.—Evaluating participation and diversity in Community Wildfire Protection Plans. Plos One. 2022;17(2).PDF icon Palsa et al 2022_Engagement_in_local_collaborative_wf_risk.pdf (1.3 MB)
Spencer AG. Enhancing adaptive capacity for restoring fire-dependent ecosystems: the Fire Learning Network’s Prescribed Fire Training Exchanges Schultz CA, ed. Ecology and Society. 2015;20(3).
Urza AK, Weisberg PJ, Board D, et al. Episodic occurrence of favourable weather constrains recovery of a cold desert shrubland after fire. Journal of Applied Ecology. 2021.PDF icon rmrs_2021_urza_a001.pdf (1.39 MB)
Long JW. Escaping social-ecological traps through tribal stewardship on national forest lands in the Pacific Northwest, United States of America Lake FK, ed. Ecology and Society. 2018;23(2).
Finkral AJ, Evans AM, Sorensen CD, Affleck DLR. Estimating Consumption and Remaining Carbon in Burned Slash Piles. Canadian Journal of Forest Research. 2012;42(9):6. Available at: http://www.nrcresearchpress.com/doi/abs/10.1139/x2012-112#.UOu0QXcZHm0.
Keane RE, Loehman RA. Estimating Critical Climate - Driven Thresholds in Landscape Dynamics Using Spatial Simulation Modeling: Climate Change Tipping Points in Fire Management. Joint Fire Science Program; 2013:25.
Staley DM. Estimating post-fire debris-flow hazards prior to wildfire using a statistical analysis of historical distributions of fire severity from remote sensing data Tillery AC, ed. International Journal of Wildland Fire. 2018;27(9).
Zhai J, Kuusela O-P. Estimating Price Dynamics in the Aftermath of Forest Disturbances: The Biscuit Fire in Southwest Oregon. Forest Science. 2020;66. Available at: https://doi.org/10.1093/forsci/fxaa004.
Wright CS, Balog CS, Kelly JW. Estimating volume, biomass, and potential emissions of hand-piled fuels. Portland, OR: US Department of Agriculture, Forest Service, Pacific Northwest Research Station; 2009:23. Available at: http://www.fs.fed.us/pnw/pubs/pnw_gtr805.pdf.
Cochrane MA, Moran CJ, Wimberly MC, et al. Estimation of Wildfire Size and Risk Changes Due to Fuels Treatments. International Journal of Wildland Fire. 2012:11. Available at: http://www.fs.fed.us/rm/pubs_other/rmrs_2012_cochrane_m001.pdf.
Hoffman CM. Evaluating crown fire rate of spread predictions from physics-based models Ziegler J, ed. Fire Technology. 2015. Available at: http://www.treesearch.fs.fed.us/pubs/48875.
Latif QS. Evaluating habitat suitability models for nesting white-headed woodpeckers in unburned forest Saab VA, ed. The Journal of Wildlife Management. 2015;79(2).

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