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Modelling the effect of accelerated forest management on long-term wildfire activity

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  • Ager, Alan A.
  • Barros, Ana M.G.
  • Houtman, Rachel
  • Seli, Rob
  • Day, Michelle A.

Abstract

We integrated a widely used forest growth and management model, the Forest Vegetation Simulator, with the FSim large wildfire simulator to study how management policies affected future wildfire over 50 years on a 1.3 million ha study area comprised of a US national forest and adjacent lands. The model leverages decades of research and development on the respective forest growth and wildfire simulation models, and their integration creates a strategic forest landscape model that has a high degree of transparency in the existing user communities. The study area has been targeted for forest restoration investments in response to wildland fires that are increasingly impacting ecological conditions, conservation areas, amenity values, and surrounding communities. We simulated three alternative spatial investment priorities and three levels of management intensity (area treated) over a 50-year timespan and measured the response in terms of area burned, fire severity, wildland-urban interface exposure and timber production. We found that the backlog of areas in need of restoration on the national forest could be eliminated in 20 years when the treatment rate was elevated to a maximum of 3× the current level. However, higher rates of treatments early in the simulation created a future need to address the rapid buildup of fuels associated with understory shrub and tree regeneration. Restoration treatments over time had a large effect on fire severity, on average reducing potential flame length by up to 26% for the study area within the first 20 years, whereas reductions in area burned were relatively small. Although wildfire contributed to reducing flame length over time, area burned was only 16% of the total disturbed area (managed and burned with prescribed fire) under the 3× management intensity. Interactions among spatial treatment scenarios and treatment intensities were minimal, although inter-annual variability was extreme, with the coefficient of variation in burned area exceeding 200%. We also observed simulated fires that exceeded four times the historically recorded fire size. Fire regime variability has manifold significance since very large fires can homogenize fuels and eliminate clumpy stand structure that historically reduced fire size and maintained landscape resiliency. We discuss specific research needs to better understand future wildfire activity and the relative influence of climate, fuels, fire feedbacks, and management to achieve fire resiliency goals on western US fire frequent forests.

Suggested Citation

  • Ager, Alan A. & Barros, Ana M.G. & Houtman, Rachel & Seli, Rob & Day, Michelle A., 2020. "Modelling the effect of accelerated forest management on long-term wildfire activity," Ecological Modelling, Elsevier, vol. 421(C).
  • Handle: RePEc:eee:ecomod:v:421:y:2020:i:c:s030438002030034x
    DOI: 10.1016/j.ecolmodel.2020.108962
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    References listed on IDEAS

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    1. Ager, Alan A. & Vogler, Kevin C. & Day, Michelle A. & Bailey, John D., 2017. "Economic Opportunities and Trade-Offs in Collaborative Forest Landscape Restoration," Ecological Economics, Elsevier, vol. 136(C), pages 226-239.
    2. Ager, Alan A. & Barros, Ana M.G. & Day, Michelle A. & Preisler, Haiganoush K. & Spies, Thomas A. & Bolte, John, 2018. "Analyzing fine-scale spatiotemporal drivers of wildfire in a forest landscape model," Ecological Modelling, Elsevier, vol. 384(C), pages 87-102.
    3. Tähti Pohjanmies & Kyle Eyvindson & Mikko Mönkkönen, 2019. "Forest management optimization across spatial scales to reconcile economic and conservation objectives," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-16, June.
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    Cited by:

    1. Jellouli, Omar & Bernoussi, Abdes Samed, 2022. "The impact of dynamic wind flow behavior on forest fire spread using cellular automata: Application to the watershed BOUKHALEF (Morocco)," Ecological Modelling, Elsevier, vol. 468(C).
    2. Young, Jesse D. & Ager, Alan A., 2024. "Resource objective wildfire leveraged to restore old growth forest structure while stabilizing carbon stocks in the southwestern United States," Ecological Modelling, Elsevier, vol. 488(C).

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