Quantifying the influence of previously burned areas on suppression effectiveness and avoided exposure: A case study of the Las Conchas FireAuthor(s): Matthew P. Thompson; Patrick Freeborn; Jon D. Rieck; Dave Calkin; Julie W. Gilbertson-Day; Mark A. Cochrane; Michael S. Hand
Source: International Journal of Wildland Fire. 25(2): 167-181.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
Download Publication (1.0 MB)
We present a case study of the Las Conchas Fire (2011) to explore the role of previously burned areas (wildfires and prescribed fires) on suppression effectiveness and avoided exposure. Methodological innovations include characterisation of the joint dynamics of fire growth and suppression activities, development of a fire line effectiveness framework, and quantification of relative fire line efficiencies inside and outside of previously burned areas. We provide descriptive statistics of several fire line effectiveness metrics. Additionally, we leverage burn probability modelling to examine how burned areas could have affected fire spread potential and subsequent exposure of highly valued resources and assets to fire. Results indicate that previous large fires exhibited significant and variable impacts on suppression effectiveness and fire spread potential. Most notably the Cerro Grande Fire (2000) likely exerted a significant and positive influence on containment, and in the absence of that fire the community of Los Alamos and the Los Alamos National Laboratory could have been exposed to higher potential for loss. Although our scope of inference is limited results are consistent with other research, suggesting that fires can exert negative feedbacks that can reduce resistance to control and enhance the effectiveness of suppression activities on future fires.
- 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.
Thompson, Matthew P.; Freeborn, Patrick; Rieck, Jon D.; Calkin, David E.; Gilbertson-Day, Julie W.; Cochrane, Mark A.; Hand, Michael S. 2016. Quantifying the influence of previously burned areas on suppression effectiveness and avoided exposure: A case study of the Las Conchas Fire. International Journal of Wildland Fire. 25(2): 167-181.
Keywordsburn probability modelling, fire-on-fire interactions, landscape conditions, wildland fire management
- Examination of the home destruction in Los Alamos associated with the Cerro Grande Fire - July 10, 2000
- An empirical machine learning method for predicting potential fire control locations for pre-fire planning and operational fire management
- Production and efficiency of large wildland fire suppression effort: A stochastic frontier analysis
XML: View XML