Examining fire behavior in mesquite–acacia shrublands
Tamara J. Streeks A , M. Keith Owens A C and Steve G. Whisenant BA Texas Agricultural Experiment Station, Uvalde, TX 78801, USA.
B Department of Rangeland Ecology and Management, Texas A&M University, College Station, TX 77843, USA.
C Corresponding author. Email: m-owens@tamu.edu
International Journal of Wildland Fire 14(2) 131-140 https://doi.org/10.1071/WF03053
Submitted: 26 June 2003 Accepted: 3 December 2004 Published: 17 May 2005
Abstract
The vegetation of South Texas has changed from mesquite savanna to mixed mesquite–acacia (Prosopis–Acacia) shrubland over the last 150 years. Fire reduction, due to lack of fine fuel and suppression of naturally occurring fires, is cited as one of the primary causes for this vegetation shift. Fire behavior, primarily rate of spread and fire intensity, is poorly understood in these communities, so fire prescriptions have not been developed. We evaluated two current fire behavior systems (BEHAVE and the CSIRO fire spread and fire danger calculator) and three models developed for shrublands to determine how well they predicted rate of spread and flame length during three summer fires within mesquite–acacia shrublands. We also used geostatistical analyses to examine the spatial pattern of net heat, flame temperature and fuel characteristics. The CSIRO forest model under-predicted the rate of fire spread by an average of 5.43 m min−1 and over-predicted flame lengths by 0.2 m while the BEHAVE brush model under-predicted rate of spread by an average of 6.57 m min−1 and flame lengths by an average of 0.33 m. The three shrubland models did not consistently predict the rate of spread in these plant communities. Net heat and flame temperature were related to the amount of 10-h fuel on the site, but were not related to the cover of grasses, forbs, shrubs, or apparent continuity of fine fuel. Fuel loads were typical of South Texas shrublands, in that they were uneven and spatially inconsistent, which resulted in an unpredictable fire pattern.
Additional keywords: fire intensity; net heat; rate of spread.
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