Skip to Main Content
Modeling tree-level fuel connectivity to evaluate the effectiveness of thinning treatments for reducing crown fire potentialAuthor(s): Marco A. Contreras; Russell A. Parsons; Woodam Chung
Source: Forest Ecology and Management. 264: 134-149.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
PDF: Download Publication (1.4 MB)
DescriptionLand managers have been using fire behavior and simulation models to assist in several fire management tasks. These widely-used models use average attributes to make stand-level predictions without considering spatial variability of fuels within a stand. Consequently, as the existing models have limitations in adequately modeling crown fire initiation and propagation, the effects of fuel treatments can only be evaluated based on average conditions, where the effects of thinning design (e.g., cut-tree locations) on changing fire behavior are largely ignored. To overcome these limitations, we coupled an advanced physics-based fire behavior model with light detection and ranging (LiDAR) technology to capture the spatial distribution of trees within stands and model crown fire initiation and propagation in more detail. Advanced physics-based fire behavior models are computationally demanding, and it is not currently feasible to run such models for large landscapes (thousands of hectares) at which fuel treatments are often considered. Thus, to extend the capabilities of these fine scale models to larger landscapes, we developed logistic regression models based on tree data and fire behavior model output to predict crown fire initiation and propagation for given tree locations and attributes for two weather scenarios, representing average and severe conditions, for our study area. We applied these regression models and used treelevel fuel connectivity prediction as measures to evaluate the effectiveness of thinning treatments for reducing crown fire potential. We demonstrate this method using LiDAR-derived stem map and tree attributes developed for a 4.6-ha forest stand in western Montana, USA.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationContreras, Marco A.; Parsons, Russell A.; Chung, Woodam. 2012. Modeling tree-level fuel connectivity to evaluate the effectiveness of thinning treatments for reducing crown fire potential. Forest Ecology and Management. 264: 134-149.
Keywordsfire behavior, fire simulation modeling, WFDS, LiDAR, thinning treatments
- Modeling thinning effects on fire behavior with STANDFIRE
- Simulating fuel treatment effects in dry forests of the western United States: testing the principles of a fire-safe forest
- Potential fire behavior is reduced following forest restoration treatments
XML: View XML