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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Evaluation of the composite burn index for assessing fire severity in Alaskan black spruce forests

Eric S. Kasischke A F , Merritt R. Turetsky B C , Roger D. Ottmar D , Nancy H. F. French E , Elizabeth E. Hoy A and Evan S. Kane B
+ Author Affiliations
- Author Affiliations

A Department of Geography, University of Maryland, 2181 LeFrak Hall, College Park, MD 20742, USA.

B Departments of Plant Biology, and Fisheries & Wildlife, Michigan State University, East Lansing, MI 48824, USA.

C Present address: Department of Integrative Biology, University of Guelph, Guelph, ON, N1G 2W1, Canada.

D USDA Forest Service, Pacific Northwest Research Station, 400 N 34th St, Seattle, WA 98103, USA.

E Michigan Tech Research Institute, Michigan Technological University, 3600 Green Court, Suite 100, Ann Arbor, MI 48113-4001, USA.

F Corresponding author. Email: ekasisch@umd.edu

International Journal of Wildland Fire 17(4) 515-526 https://doi.org/10.1071/WF08002
Submitted: 5 January 2008  Accepted: 15 January 2008   Published: 6 August 2008

Abstract

We evaluated the utility of the composite burn index (CBI) for estimating fire severity in Alaskan black spruce forests by comparing data from 81 plots located in 2004 and 2005 fire events. We collected data to estimate the CBI and quantify crown damage, percent of trees standing after the fire, depth of the organic layer remaining after the fire, depth of burning in the surface organic layer (absolute and relative), and the substrate layer exposed by the fire. To estimate pre-fire organic layer depth, we collected data in 15 unburned stands to develop relationships between total organic layer depth and measures of the adventitious root depth above mineral soil and below the surface of the organic layer. We validated this algorithm using data collected in 17 burned stands where pre-fire organic layer depth had been measured. The average total CBI value in the black spruce stands was 2.46, with most of the variation a result of differences in the CBI observed for the substrate layer. While a quadratic equation using the substrate component of CBI was a relatively strong predictor of mineral soil exposure as a result of fire (R2 = 0.61, P < 0.0001, F = 60.3), low correlations were found between the other measures of fire severity and the CBI (R2 = 0.00–0.37). These results indicate that the CBI approach has limited potential for quantifying fire severity in these ecosystems, in particular organic layer consumption, which is an important factor to understand how ecosystems will respond to changing climate and fire regimes in northern regions.


Acknowledgements

The research in the paper was supported by NASA through Grants NNG04GD25G and NNG04GR24G, the Joint Fire Science Program (JFSP Project No. 03-1-3-08 to the USA Forest Service), and the Bonanza Creek Long-Term Ecological Research program (USFS grant number PNW01-JV11261952–231 and NSF grant number DEB-0080609). The authors thank Gordon Shetler, Evan Ellicott, Luz Silverio, Lucas Spaete, Sam Upton, and Richard Powell for assisting in the collection of field data. We thank Scott Rupp for providing CBI data for 8 plots in the Tors fire event and for carrying out the analyses of tree rings to estimate stand ages. The authors also thank the two anonymous reviewers whose constructive comments and suggestions helped improve the manuscript.


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