Research Program Areas

Advancing Wildfire Science through Multidisciplinary Analysis

The ReSHAPE program is supported by five integrated program areas that iteratively refine the TWIG viewer and advance the collective understanding of treatment effectiveness. By bridging the gap between rigorous academic research and on-the-ground management, we provide the evidence-based knowledge necessary to lower the risk of catastrophic wildfire. Our work enables the wildfire management community to assess interactions at scales previously unavailable, delivering actionable insights that support resilient forests.

Biophysical Effects

This program leverages extensive TWIG data and statistical techniques to understand when, why, and how forest treatments reduce fire severity and prevent fire spread.

Fuel treatment effectiveness is well documented, but less is known about whether small treatments work. Most guidance implicitly assumes bigger is better — some studies recommend treatment widths of 400–500 m to stop crown fire. That's out of reach for a private landowner with a few acres, or an agency with a limited budget and a scattered ownership pattern. The 2022 Hermit's Peak–Calf Canyon Fire, which burned over 138,000 hectares (~341,000 acres), ran across dozens of small treatments completed in the years before it — a rare chance to ask whether they mattered. 

Fact sheet for "Effects of small-scale forest treatments on reducing wildfire burn severity".

During Colorado’s intense 2020 wildfire season, areas with prior forest treatments, like thinning, prescribed fire, or previous wildfire, burned less severely than in untreated areas. Even during extreme fire weather, treated areas generally experienced lower burn severity than untreated areas did during milder conditions. This pattern was especially pronounced in lower elevation forests, such as those dominated by ponderosa pine. These findings highlight the importance of strategically placed and ecologically appropriate treatments to shape wildfire outcomes within changing fire regimes.

Fact sheet for "Extreme Colorado 2020 fires: remotely sensed burn severity influenced by treatments, forest types and days of burning"

The influence of forest treatments on wildfire effects is challenging to interpret. Using a case study from the Cameron Peak Fire in Colorado, this paper discusses ecological metrics of forest treatment effects, fire behavior, important considerations and recommendations for evaluating treatments, and provides definitions for critical concepts to bring a common language and understanding to conversations about treatment effects.

Fact sheet for "Metrics and considerations for evaluating how forest treatments alter wildfire behavior and effects"

CONNECT (Social Science)

Our social science team evaluates the use and effectiveness of decision support tools to improve how geospatial data is applied in collaborative wildfire management.

In this report, researchers assess what decision support tools (DSTs) local-level wildfire risk reduction planners access and apply in CWPPs across Colorado. Researchers categorized the  DSTs and analyzed how plan scale and presence of consultants affect the number and kinds of DSTs used.
While we know what helps or hinders decision support tool (DST) use—like training, trust, and user-friendliness—less is known about how DSTs actually improve decisions. Our review highlights that DSTs are often used to find information, support communication, and document decisions. But their real value may lie in helping users clarify goals, weigh options, and make choices that align with their priorities. To truly understand DST impact, future research should focus not just on use, but on whether tools lead to more consistent, transparent, and effective decision-making.
Interested in the paper above but want a short, digestible format specifically for managers? Check out this practitioner product based on our DST research.
In this report, researchers summarize the process and outcomes of community readiness workshops conducted with The Big Thompson Watershed Health Partnership, including what was done in these workshops and possible ways for the BTWHP to continue developing strategies to assess and respond to community readiness.
Researchers developed an index using publicly available data weighted by expert perceptions to map local capacity for wildfire management across Colorado, revealing significant geographic disparities between capacity and wildfire risk. The replicable methodology addresses a critical gap in wildfire planning, as substantial resources exist for modeling wildfire risk but complementary assessments of local capacity to respond have been largely absent.

Storymap based on the research from the Courtney et al. 2025 paper "Mapping Community Capacity to Reduce Vulnerability to Wildfire in Colorado, USA"

The authors of this paper conducted a systematic literature review to explore the landscape of decision support tools (DSTs) for wildfire management, focusing on their functionalities.

Fact sheet for "Navigating the Evolving Landscape of Wildfire Management: A Systematic Review of Decision Support Tools"

Economics

Conducted by our partner, the Conservation Economics Institute, this program researches the return on investment (ROI) and economic benefits of forest restoration efforts.

Synthesizing cost data across the wildfire literature, the authors developed a novel categorization system spanning fire response, built environment, human health, business disruption, biophysical effects, and land recovery costs. Their analysis found that costs are rising over time, with human-caused, larger, and Western US wildfires generally driving higher expenses, and post-fire flooding costs often exceeding those of the fire itself. The authors caution that most existing studies likely understate true wildfire costs—particularly for human health and ecosystem services—pointing to a pressing need for research on strategies, such as fuel treatments, to limit and reduce these costs.
A two page fact sheet based off the Hjerpe et al. 2026. Economic costs of U.S. wildfires: A meta-analysis. Intended as an accessible, digestible format of the key findings and management implications from the research.

To help establish economic efficiency analysis of fuel treatments, the authors provided a methodological framework illustrating benefit-cost analysis and considerations for dealing with valuation complexity. Further analyses of the benefits and costs of fuels treatments would support a clearer understanding of the economic trade-offs involved. This information could highlight opportunities for long-term savings from proactive investments in wildfire resilience.

Summary sheet for " Economic Efficiency of Fuel Treatments in Western U.S. Forests: A Methodological Framework".

Restoration and fuel treatments have emerged as leading wildfire risk- reduction strategies in the American West, yet little is known about the cost-effectiveness of such programs. To evaluate forest restoration and fuel treatment benefits and costs, the authors conducted a meta-analysis of benefit-cost ratios for restoration benefit types documented in the literature for Western U.S. dry mixed conifer forests at risk of uncharacteristic wildfires.

Fact sheet for "Return on investment in restoration and fuel treatments in frequent-fire forests of the American west: A meta-analysis.

Data Science

This area focuses on clarifying federal systems of record and integrating diverse datasets to reduce uncertainty in wildfire models and identify high-risk areas for targeted fuel treatment.

In August 2025, we published an article in the journal Scientific Data that described the TWIG treatment index in detail. This paper also includes a link to a static version of the TWIG treatment index as it existed in August 2025.

As TWIG continues to evolve, the most up-to-date data and metadata are always available on this website under TWIG Data Resources. Still, the article contains some timeless background and history regarding the development and intended uses of TWIG.

We ask that all users of TWIG data cite this paper in their final publications.

Citation: Call, A., Tomczyk, N., Withnall, K.A., Dappen, P., Heusinkveld, D., Mueller, S.E., Holloway, B., Shennan, K., Herring, J.A., Franko, A., Colavito, M.M., Kimple, A.D., Sánchez Meador, A.J., Stevens-Rumann, C.S. A new geodatabase of fuel treatments across federal lands in the USA. Sci Data 12, 1485 (2025). https://doi.org/10.1038/s41597-025-05859-z

TWIG

Focused on the continual compilation and display of fuel treatment data, this program area manages the development and maintenance of the TWIG geodatabase.

The Treatment and Wildfire Interagency Geodatabase (TWIG) Viewer is a new public mapping tool developed by SWERI through the ReSHAPE program that makes it easier to find, view, and download federal fuel treatment and wildfire data. Early evaluation shows TWIG has strong potential to support planning, coordination, and communication among land managers, collaborators, and policymakers—though gaps in data and functionality remain. Ongoing user feedback is helping guide improvements as SWERI works to expand TWIG’s utility across jurisdictions.

Fact sheet for the full TWIG Evaluation Report, above.

Put Data Into Action

Start exploring our accessible, nationwide geodatabase for fuel treatments and wildfires today.