Publications Library

Found 45 results
Filters: First Letter Of Title is M  [Clear All Filters]
Hoe MS. Multitemporal LiDAR improves estimates of fire severity in forested landscapes Dunn CJ, ed. International Journal of Wildland Fire. 2018;Online early.
Oliver M. Mapping the Future: U.S. Exposure to Multiple Landscape Stressors. Portland: US Department of Agriculture, Forest Service, Pacific Northwest Research Station; 2017.PDF icon scifi197.pdf (6.8 MB)
Ganio LM. Mortality predictions of fire-injured large Douglas-fir and ponderosa pine in Oregon and Washington, USA Progar RA, ed. Forest Ecology and Management. 2017;390.
T. McCarley R. Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure Kolden CA, ed. Remote Sensing of Environment. 2017;191.
Boisramé G. Managed wildfire effects on forest resilience and water in the Sierra Nevada Thompson S, ed. Ecosystems. 2016.
Vogeler JC. Mapping post-fire habitat characteristics through the fusion of remote sensing tools Yang Z, ed. Remote Sensing of Environment. 2016;173.
Jones GM. Megafires: an emerging threat to old-forest species Gutiérrez RJ, ed. Frontiers in Ecology and the Environment. 2016;14(6).
Kemp KB. Managing for climate change on federal lands of the western United States: perceived usefulness of climate science, effectiveness of adaptation strategies, and barriers to implementation Blades JJ, ed. Ecology and Society. 2015;20(2).
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.
Dunn CJ. Modeling the direct effect of salvage logging on long-term temporal fuel dynamics in dry-mixed conifer forests Bailey JD, ed. Forest Ecology and Management. 2015;341.
McKenzie D. Modeling wildfire regimes in forest landscapes: abstracting a complex reality. In: Perera AH, ed. Simulation modeling of forest landscape disturbances. Simulation modeling of forest landscape disturbances. Switzerland: Springer International Publishing; 2015:73-92. Available at:
Hartter J. Modelling Associations between Public Understanding, Engagement and Forest Conditions in the Inland Northwest, USA Stevens FR, ed. PLOS ONE. 2015;10(2).
Underwood E. Models predict longer, deeper U.S. droughts. Science. 2015;13.