wildland fuel cell concept: an approach to characterize fine-scale variation in fuels and fire in frequently burned longleaf pine forests

• Published in: International journal of wildland fire Vol. 18; no. 3; pp. 315 - 325
• Main Authors: Hiers, J. Kevin, O'Brien, Joseph J, Mitchell, R.J, Grego, John M, Loudermilk, E. Louise
• Format: Journal Article
• Language: English
• Published: Collingwood, Victoria: CSIRO Publishing 01.01.2009
• Subjects: coniferous forests; fire behavior; fire intensity; forest fires; fuel heterogeneity; fuels (fire ecology); image analysis; lidar; Pinus palustris; prescribed burning; remote sensing; spatial data; spatial variation; thermal analysis; thermal imaging; wildfires; Southeastern United States
• ISSN: 1049-8001; 1448-5516
• DOI: 10.1071/wf08084

In ecosystems with frequent surface fire regimes, fire and fuel heterogeneity has been largely overlooked owing to the lack of unburned patches and the difficulty in measuring fire behavior at fine scales (0.1-10 m). The diverse vegetation in these ecosystems varies at these fine scales. This diversity could be driven by the influences of local interactions among patches of understorey vegetation and canopy-supplied fine fuels on fire behavior, yet no method we know of can capture fine-scale fuel and fire measurements such that these relationships could be rigorously tested. We present here an original method for inventorying of fine-scale fuels and in situ measures of fire intensity within longleaf pine forests of the south-eastern USA. Using ground-based LIDAR (Light Detection and Ranging) with traditional fuel inventory approaches, we characterized within-fuel bed variation into discrete patches, termed wildland fuel cells, which had distinct fuel composition, characteristics, and architecture that became spatially independent beyond 0.5 m². Spatially explicit fire behavior was measured in situ through digital infrared thermography. We found that fire temperatures and residence times varied at similar scales to those observed for wildland fuel cells. The wildland fuels cell concept could seamlessly connect empirical studies with numerical models or cellular automata models of fire behavior, representing a promising means to better predict within-burn heterogeneity and fire effects.