IDEAS home Printed from https://ideas.repec.org/p/alb/series/1100.html
   My bibliography  Save this paper

Managing the Economic Impacts of Mountain Pine Beetle Outbreaks in Alberta

Author

Listed:
  • Blake Phillips
  • James Beck Jr.
  • Trevor Nickel

Abstract

Output from the SELES MPB Landscape Scale Mountain Pine Beetle Model (Fall et al., 2004) was utilized to estimate potential mountain pine beetle spread rates within the Hinton Wood Products Forest Management Area (HFMA) of the Foothills Model Forest. From the SELES model output three spread rate scenarios were hypothesized. Scenario 1 hypothesized a Mountain Pine Beetle (MPB) spread rate slower than the rate estimated by the SELES MPB Model. Within Scenario 1, current Annual Allowable Cut (AAC) levels were hypothesized to be adequate to harvest MPB damaged lodgepole pine stands. Scenario 2 hypothesized that spread rates would be consistent with the recommended run from the SELES MPB Model, resulting in attack of the majority of the stands within the HFMA within 29 years. Scenario 3 hypothesized that spread rates would be higher than estimated by the SELES MPB Model, resulting in attack of the majority of lodgepole pine stand in the HFMA in 20 years (Scenario 3.1) or 10 years (Scenario 3.2). The even flow harvest rates required to utilize commercially viable stands attacked by MPB were determined (Surge Period). The modeling program Forest Muncher was utilized to estimate the decrease in AAC which could result from succession / salvage harvest of the majority of lodgepole pine stands within the HFMA within each scenario (Post Surge Period). Based on these AAC estimates, the potential economic impact of MPB attack influenced AAC changes was examined utilizing output from the Computable General Equilibrium Framework (CGE) Model developed by Mike Patriquin and Bill White of the Canadian Forest Service (Patriquin et al., 2005). Scenario 1 had a nearly inappreciable impact on the economic indicators for the forest industry or the total economy in the Foothills Model Forest Area. Within Scenario 2, forest industry revenue, royalties, labour income, and employment were estimated to increase by 40 – 50% during the Surge Period and decrease by 4.7– 6.0% in the Post Surge Period. Within Scenarios 3.1 and 3.2 forestry revenue, royalties, labour income and employment increases ranged from 70 – 90% for Scenario 3.1 and ranged from 160 – 210% for Scenario 3.2 during the Surge Period. Revenue, royalties, labour income and employment in the forest industry were estimated to decrease by 6 – 9% within the Post Surge Periods of Scenarios 3.1 and 3.2. Economic, forest industry capacity, social and environmental factors which may limit the feasibility of large scale salvage of mountain pine beetle damaged stands are discussed within the report.

Suggested Citation

  • Blake Phillips & James Beck Jr. & Trevor Nickel, 2007. "Managing the Economic Impacts of Mountain Pine Beetle Outbreaks in Alberta," Information Bulletins 1100, Western Centre for Economic Research.
  • Handle: RePEc:alb:series:1100
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sims, Charles & Aadland, David & Finnoff, David, 2010. "A dynamic bioeconomic analysis of mountain pine beetle epidemics," Journal of Economic Dynamics and Control, Elsevier, vol. 34(12), pages 2407-2419, December.
    2. Charles Sims & David Aadland & David Finnoff & James Powell, 2013. "How Ecosystem Service Provision Can Increase Forest Mortality from Insect Outbreaks," Land Economics, University of Wisconsin Press, vol. 89(1), pages 154-176.
    3. David Aadland & Charles Sims & David Finnoff, 2015. "Spatial Dynamics of Optimal Management in Bioeconomic Systems," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 545-577, April.

    More about this item

    Keywords

    Mountain pine beetle--Alberta--Case studies; Mountain pine beetle--Economic aspects--Alberta--Case studies; Forest management--Alberta--Case studies; Foothills Model Forest;

    JEL classification:

    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:alb:series:1100. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/wcualca.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.