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    Author(s): Kenneth L. ClarkNicholas SkowronskiJohn Hom; Matthew Duveneck; Yude PanStephen Van Tuyl; Jason Cole; Matthew Patterson; Stephen Maurer
    Date: 2009
    Source: International Journal ofWildland Fire. 18: 268-277.
    Publication Series: Scientific Journal (JRNL)
    Station: Northern Research Station
    PDF: View PDF  (1.97 MB)

    Description

    Our goal is to assist the New Jersey Forest Fire Service and federal wildland fire managers in the New Jersey Pine Barrens evaluate where and when to conduct hazardous fuel reduction treatments. We used remotely sensed LIDAR (Light Detection and Ranging System) data and field sampling to estimate fuel loads and consumption during prescribed fire treatments. This information was integrated with data on prescribed fire treatments conducted by the New Jersey Forest Fire Service over the last 15 years to produce and interpret maps of current fuel loads. Forest productivity measurements and models were then used to estimate rates of fuel accumulation through time. We could then calculate return intervals for desired fuel load conditions. Through formal workshops and frequent discussions with state and federal fire managers, our results enhance the ability of these agencies to make key decisions regarding the effectiveness and longevity of hazardous fuels treatments.

    Publication Notes

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Clark, Kenneth L.; Skowronski, Nicholas; Hom, John; Duveneck, Matthew; Pan, Yude.; Van Tuyl, Steve; Cole, Jason; Patterson, Matthew; Maurer, Stephen. 2009. Decision support tools to improve the effectiveness of hazardous fuel reduction treatments. International Journal of Wildland Fire 18 (3): 268-277.

    Keywords

    forest productivity, fuel accumulation, fuel load estimates, LIDAR, prescribed fire treatments

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