Fire, Fuel Treatments, and Restoration Ecology
Land managers have invested considerable funding to decrease fuel loads and restore resilient ecosystems in forests and rangelands, using techniques such as grazing, mowing, herbicides, and thinning. Yet, little information is available about how such restoration activities have influenced wildlife species and habitats. We are conducting empirical studies and developing novel approaches to better quantify and predict the ecological effects and effectiveness of fuel manipulations. We combine field sampling, experimental manipulations, remote sensing, and modeling at relevant scales from plots to landscapes. The assessments will help resource managers and scientists to predict fire risk, assess effects of management activities on fuel loads and native species, and assess short- and long-range fire effects and fuel treatment effectiveness.
Below are other science projects associated with this project.
Below are data or web applications associated with this project.
Below are publications associated with this project.
Fire, flow and dynamic equilibrium in stream macroinvertebrate communities
Prescribed fires as ecological surrogates for wildfires: A stream and riparian perspective
Land Treatment Digital Library
A Chronosequence Feasibility Assessment of Emergency Fire Rehabilitation Records within the Intermountain Western United States - Final Report to the Joint Fire Science Program - Project 08-S-08
Fire rehabilitation effectiveness: a chronosequence approach for the Great Basin
A soil burn severity index for understanding soil-fire relations in tropical forests
Fire and amphibians in North America
Land managers have invested considerable funding to decrease fuel loads and restore resilient ecosystems in forests and rangelands, using techniques such as grazing, mowing, herbicides, and thinning. Yet, little information is available about how such restoration activities have influenced wildlife species and habitats. We are conducting empirical studies and developing novel approaches to better quantify and predict the ecological effects and effectiveness of fuel manipulations. We combine field sampling, experimental manipulations, remote sensing, and modeling at relevant scales from plots to landscapes. The assessments will help resource managers and scientists to predict fire risk, assess effects of management activities on fuel loads and native species, and assess short- and long-range fire effects and fuel treatment effectiveness.
Below are other science projects associated with this project.
Below are data or web applications associated with this project.
Below are publications associated with this project.