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Climate Change as a Driver in Mountain Pine Beetle Outbreaks in Eastern Washington

Climate Change as a Driver in Mountain Pine Beetle Outbreaks in Eastern Washington. Elaine E. Oneil 1 , Jeffrey A. Hicke 2 , Donald McKenzie 3 , and James A. Lutz 1 1 College of Forest Resources, University of Washington 2 Department of Geography, University of Idaho

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Climate Change as a Driver in Mountain Pine Beetle Outbreaks in Eastern Washington

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  1. Climate Change as a Driver in Mountain Pine Beetle Outbreaks in Eastern Washington Elaine E. Oneil1, Jeffrey A. Hicke2, Donald McKenzie3, and James A. Lutz1 1College of Forest Resources, University of Washington 2Department of Geography, University of Idaho 3Pacific Wildland Fire Sciences Lab, U.S. Forest Service Washington State Climate Change Impacts Assessment Conference Seattle, Washington February 12, 2009

  2. J. Hicke

  3. Photo credit: Don Hanley Photo credit: Don Hanley

  4. MPB and host as co-drivers of MPB epidemics with climate change • Host Susceptibility a function of changes in summer VPD • Linked to the likelihood of a tree, or stand, being attacked as a function of poor vigor. • Warmer and drier summers leading to increased moisture stress and reduced vigor within pine forests • Warmer and/or drier winters reducing snowpack and effective moisture retention into late spring/early summer • Risk of MPB attack linked to changes in annual temperature regimes • Linked to the likelihood of MPB attack as a function of MPB population dynamics and proximity to host trees • Climate change enhancing insect survival and reproduction at higher elevations and leading to asynchronous development at lower elevations

  5. Acres affected by Mountain Pine Beetle in Washington State 500 450 2004 400 350 300 Annual Acres (1000’s) affected by MPB in Eastern Washington 250 2003 200 2002 150 2001 100 2000 1999 50 0 1910 1930 1950 1970 1990 2010 Year Oneil, 2006

  6. 2000+ Mortality Rate 8.4 TPA 1979-1999 Mortality Rate = 2.2 TPA

  7. Humidity 100% 60% 30% Vapor Pressure Deficit (VPD) Adapted from Waring and Running (1998)

  8. Climate predictors for MPB attack 2000-03

  9. Summer Water Deficit as a precursor to tree stress

  10. Higher Elevations get hit harder Historical 2000-03 B1 2020 MPB attacks

  11. Adapted from: DeLucia, E. H., H. Maherali, et al. (2000). "Climate-driven changes in biomass allocation in pines." Global Change Biology 6(5): 587-593.

  12. MPB and host as co-drivers of MPB epidemics with climate change • Host Susceptibility a function of changes in summer VPD • Linked to the likelihood of a tree, or stand, being attacked as a function of poor vigor. • Warmer and drier summers leading to increased moisture stress and reduced vigor within pine forests • Warmer and/or drier winters reducing snowpack and effective moisture retention into late spring/early summer • Risk of MPB attack linked to changes in annual temperature regimes • Linked to the likelihood of MPB attack as a function of MPB population dynamics and proximity to host trees • Climate change enhancing insect survival and reproduction at higher elevations and leading to asynchronous development at lower elevations

  13. Research Questions • Do Tmax and Tmin increase in lock step? • future VPD’s are likely underestimated • Improve predictions of Tdew in increasingly arid environments • future VPD’s are likely underestimated. • Determine if, and how quickly, leaf area – sapwood area ratios might change in response to changing VPD • Keys into increasing vulnerability to MPB and likelihood of loss of the species altogether • Will other phenotypes/genotypes of MPB invade low elevation sites

  14. Blue Print for Management Action • Determine a stress index for lodgepole in their current niches • Refine estimates of future stress based on climate scenarios • Determine if LP can modify its LA/SA ratios in response to the change in VPD (aka research) • Determine how stand carrying capacity changes in response to climate shifts and manage stands to stay within the carrying capacity of the site • Determine how habitat types will move and change in their constituency with climate change • Determine how to model that change to increase forest ecosystem resilience • Refine our estimation of disturbance rates

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