Biological disturbance agents (BDAs) can affect forest composition and structure in multiple ways, including by changing fuels in ways that affect fire risk and behavior. While some research has shown that BDAs can increase the likelihood and severity of wildfires, other research has shown the opposite. These opposing findings have led to confusion around the influence of BDAs on fuels and fire behavior, and uncertainty about the best ways to manage for their impacts in western fire-adapted forests.

To better understand the complex relationships at play in how BDAs impact fuels and fire, authors of this article identified the major BDA groups in western coniferous U.S. forests and reviewed existing literature on these groups to conceptualize how BDA-affected fuels will influence fire risk and outcomes. The resulting conceptual framework provides a generalized approach for characterizing BDA outcomes on fuels over time and space, including expected impacts on fuels heterogeneity throughout a BDA groups’ life history. These expected fuels outcomes in turn help develop hypotheses for BDA effects on fire risk and severity.

This webinar highlights the findings of several recent studies looking at the effectiveness of fuel treatments conducted at a landscape scale. After a brief overview, it includes short presentations looking at the empirical evidence, simulation studies, case studies, and a new methodology for looking at the effectiveness of landscape-scale treatments. These studies were the outcome of a Joint Fire Science Program grant received by the Rocky Mountain Research Station. Webinar organized by several western Fire Science Exchanges. 

Smoke from wildfires is a well-recognized public health and safety issue. While there have been extensive efforts to help communities be “smoke ready”, most people would still prefer not to live with weeks of unhealthy air quality during the summer and fall. This webinar will address what could be done to reduce the amount of smoke experienced by frequently impacted communities during wildfire season. By knowing the frequent pathways that air moves into these communities during wildfire season, we gain some insights as to where fuel treatments can have a greater probability of reducing smoke from subsequent wildfires. Rather than using wind roses, meteorological modeling and GIS processing techniques provide raster images of these pathways for each community. A case study illustrates that these strategic fuel treatments can reduce smoke by 40 percent from subsequent wildfires. The webinar will also cover how raster images and fuel reduction strategies can be integrated into planning and implementation strategies including regional wildfire crisis strategies, forest restoration plans, and community wildfire protection plans. Additionally, the frequent air pathways can be used during wildfire season for decision support to reduce smoke impacts to the public. Presenter: Rick Graw, USDA Forest Service

Rapid advancements in wildland fire modeling are promoting innovations in how we characterize and map wildland fuels. Before these models can be widely used, more research on fuel characterization and mapping methods is needed to support3D model inputs. The 3D Fuels Project is characterizing surface and canopy fuels on pine-dominated sites in the southeastern and western United States and western grasslands that represent fuels commonly characterized for prescribed burning. Through this project, researchers are developing a library of tools and datasets to leverage multi-scale estimates of 3D fuel structure and consumption that can be used directly within models of fire behavior and smoke production.

The idea of using sensors to remotely measure things is not new. Aerial photos taken from hot air balloons were first proposed as a tool for mapping streets in the 1850s. In1941, a US Forest Service ranger developed a technique for mapping fuels with aeria lphotos. Recent advances in remote sensing have dramatically increased the amount of spatial information that can be generated for a given area. This webinar will look at some of the ways the Fire and Environmental Research Applications Team at the Seattle FireLab is using remote sensing to measure fuels and fire behavior. We’ll also discuss howthis information can improve our capacity to model fires.

Researchers from Colorado State University, the University of Oregon, and the University of Georgia are conducting a five-year study to understand how efforts that began as part of the US Forest Service Shared Stewardship Strategy develop over time, based on interviews with federal and state agency leadership, land managers, and other partners and stakeholders. 

Presenters: Courtney Schultz, Colorado State University Chad Kooistra, Colorado State University Heidi Huber-Stearns, University of Oregon Jesse Abrams, University of Georgia

In this work, we present a regional screening of Oregon and Washington communities to map wildfire evacuation vulnerability, assessed as the combination of wildfire hazard(burn probability and fire line intensity) and road network quality (assessed by simple geographic summaries of the paved road networks surrounding each town). Many places with relatively constrained road networks also coincide with high wildfire hazard. We hope that through this work, we can identify general geographic characteristics of communities that indicate greater wildfire evacuation vulnerability and help identify places that would benefit from more detailed analysis to aid in emergency response and preparedness. Alex Dye is a research associate at Oregon State University's College of Forestry, where he studies wildfire risk and climate change in the Western United States

Led by Susan Pritchard, Nick Povak, and Rebecca Lemons. 

This webinar offers an overview of overview of research to better understand drivers of fire severity, whats leading to really large wildfire events, and what these fires are leaving us to manage in the future.