Complex Interactions Shaping Aspen Dynamics in the Greater Yellowstone Ecosystem - PowerPoint PPT Presentation

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Complex Interactions Shaping Aspen Dynamics in the Greater Yellowstone Ecosystem

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Brown, K., A.J. Hansen, R.E. Keane, L.J. Graumlich. 2006. ... Chris Brown. Casey Sensesqua. Funding. Fire Sciences Lab, US Forest Service. National Park Service ... – PowerPoint PPT presentation

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Title: Complex Interactions Shaping Aspen Dynamics in the Greater Yellowstone Ecosystem


1
Complex Interactions Shaping Aspen Dynamics in
the Greater Yellowstone Ecosystem
  • Brown, K., A.J. Hansen, R.E. Keane, L.J.
    Graumlich. 2006. Complex interactions shaping
    aspen dynamics in the Greater Yellowstone
    Ecosystem. Landscape Ecology. Landscape Ecology
    21933951

2
Widespread Aspen Decline
  • Aspen loss documented across Rocky Mountain
    ecosystems
  • Fire exclusion
  • Conifer encroachment
  • Increased elk herbivory
  • Climatic fluctuations

3
Regional-scale Studies Dispute Decline
  • Regional-scale studies in Colorado actually show
    increasing/stable aspen
  • -Kulakowski et al. In Press
  • -Kaye et al. 2003
  • -Manier Laven 2002
  • -Suzuki et al. 1999
  • Several small-scale studies in GYE show decline
  • Lack a regional perspective for aspen in the GYE

4
Aspen in the Greater Yellowstone Ecosystem
  • Small scale studies in areas with high elk
    densities show decline
  • Jackson Hole valley
  • YNP Northern Range
  • Need for regional perspective
  • 45 loss in Gravelly range
  • 4,000 ha loss in YNP
  • 75 loss in Centennials
  • 4 loss in Northern Range
  • Base-line needed to understand
  • Fire
  • Herbivory
  • Competition

make a series of maps to bring in -plain study
area outline w/ hillshade, precip, dday, lith
5
What are the Influences on Aspen?
Fire exclusion, herbivory, competition
6
Objectives
  • Distribution
  • Does aspen occupy specific biophysical settings?
  • Landscape Change
  • Is aspen loss associated with particular
    biophysical settings?
  • Growth Rates
  • How do aspen growth rates (ANPP) vary along
    biophysical gradients?

7
Characterizing the Biophysical Environment
Climate Regime
Weather
?Tave ?TDay ?TNight ?Tsoil ---PPT ?DDay ?Dsr ?Dss
?Srad.tg ?Srad.fg ? Ppfd
?Tmax ? Tmin ? PPT ? VPD ? Rh ? SRAD
WXFIRE
Ecosystem
Polygon
? Elevation ? Aspect ? Slope ? Soil Depth ?
Sand ? Silt ? Clay ?TopoShading ? LAI ? site
type (pft)
? AET ? PET ? PSI ? PSI.MAX ? EVAP ? TRANS ?
VMC ? GSWS ? OUTFLOW ? SNOW
8
Objectives
  • Distribution
  • Does aspen occupy specific biophysical settings?
  • Landscape Change
  • Is aspen loss associated with particular
    biophysical settings?
  • Growth Rates
  • How do aspen growth rates (ANPP) vary along
    biophysical gradients?

9
Aspen Distribution
  • Compiled digital maps of aspen distribution
  • (78 overall accuracy)
  • Aspen occupy 1.4 of the mapped land area in GYE
  • Aspen much more prevalent in the southern GYE

10
Aspen Distribution
11
Aspen Distribution
  • Built a classification and regression tree (CART)
    model
  • Used the model to predict aspen presence for the
    validation datasets
  • Accuracy assessment of the model

12
Aspen Distribution CART Analyses
13
Aspen Distribution CART Analyses
  • Aspen occupies a narrow range of available
    biophysical settings
  • high radiation
  • intermediate high PET
  • intermediate snowfall, temperature
  • Model performed well at classifying aspen where
    it was present (high producers accuracy)
  • Model over-predicts the occurrence of aspen (low
    users accuracy)
  • Aspen does not occur in all biophysically-favorabl
    e locations

14
Aspen Distribution
15
Aspen Distribution
16
Aspen Distribution
17
Aspen Distribution
18
Aspen Distribution
19
Aspen Distribution -- Conclusions
  • Aspen is rare in the GYE 1.4 of mapped land
    area
  • Much more aspen in southern GYE seems to be
    related to higher GS radiation
  • Fire?
  • Aspen restricted to a narrow range of biophysical
    settings
  • high radiation, intermediate snowfall,
    temperature, PET
  • but not found in all suitable biophysical
    settings
  • Other factors may restrict current range
  • fire
  • establishment events

20
Objectives
  • Distribution
  • Does aspen occupy specific biophysical settings?
  • Landscape Change
  • Is aspen loss associated with particular
    biophysical settings?
  • Growth Rates
  • How do aspen growth rates (ANPP) vary along
    biophysical gradients?

21
Landscape Change
  • Air photo interpretation from early (1955 1963)
    and current (1992 2001) time periods
  • ANOVA, regressions

22
Landscape Change
23
How Do Aspen Loss, Gain, Stable Plots Differ?
24
Landscape Change
  • Used AICc to select variables for a final
    regression model

25
Landscape Change
  • Selected Model
  • Aspen Change
  • -4.93 Snowfall
  • -6.13 Conifer Change
  • -9.22 (Intercept)

AICc 1414 AICc Weight 0.14 R2 0.18
26
Where is Aspen Declining?
  • Moisture
  • Low summer precipitation and high winter
    precip./snowfall
  • Temperature
  • Cooler, shorter growing season
  • Light
  • Higher radiation
  • Water Availability/Flow
  • More arid sites with higher evapotranspiration,
    run-off, and lower water retention

27
Landscape Change - Conclusions
  • 34 of plots declined in aspen cover
  • Averaged 10 decline overall
  • Areas that gain aspen cover warmer and wetter
    during the growing season than loss areas
  • Loss areas drier during the growing season but
    higher annual precip. and snowfall
  • Lower radiation levels associated with aspen gain
  • Other factors?
  • insects/disease outbreaks defoliation
  • fire suppression mature stems senesce w/ no
    replacement

28
Objectives
  • Distribution
  • Does aspen occupy specific biophysical settings?
  • Landscape Change
  • Is aspen loss associated with particular
    biophysical settings?
  • Growth Rates
  • How do aspen growth rates (ANPP) vary along
    biophysical gradients?

29
Aspen Growth Rates
  • Used aspen ANPP as an index of aspen performance
  • increment cores for growth rates
  • density and size of aspen to estimate biomass
  • Density and size class data for trees and shrubs
    used to estimate biomass of competing vegetation
  • Soil characteristics
  • soil moisture
  • NH4
  • NO3-

30
Aspen Growth Rates
  • Used AICc to select variables for the final
    regression model

31
Aspen Growth Rates
Model selection results for ANPPN 107 sites
  • Selected Model
  • Aspen ANPP 2255 GS Precip. X Ann. Min.
    Temp
  • 1902 Clay
  • 1829 Annual Minimum Temperature
  • -970 Conifer Biomass
  • 378 GS Precipitation
  • 4536 (Intercept)
  • AICc 2130.37
  • AICc Weight 0.71
  • R2 0.37

32
Growth is not Maximized in Current Distribution
33
Growth is not Maximized in Current Distribution
34
Aspen Growth Rates - Conclusions
  • Growth rates are fastest where summer precip. is
    high, temperatures are warmer, and on clay soils.
    High conifer biomass is negatively associated
    with aspen growth.
  • High ANPP at the tail edge of aspens
    distribution
  • Competitive exclusion from favorable sites
  • Possibly more susceptible to herbivory
  • 37 of the variance explained with biophysical,
    other influences
  • Competition
  • Defoliation - insects

35
Conclusions
36
Conclusions
  • Aspen is rare in the GYE, 1.4 of land area
  • Aspen does not occupy all biophysically favorable
    settings
  • Decline is less widespread than local-scale
    studies suggest.
  • Loss of aspen cover appears to be localized to
    particular environmental condiditons.
  • Possible constriction of aspen distribution
  • fire
  • herbivory
  • competition
  • Aspen may not currently occupy full range of
    abiotic tolerances and performance may not be
    optimized in current locations
  • Aspen in the GYE likely more susceptible to
    herbivory, competition, fire exclusion as a
    result







37
Acknowledgements
  • Committee
  • Andrew Hansen
  • Lisa Graumlich
  • Robert Keane
  • National Park Service
  • Roy Renkin
  • USGS-BRD
  • Don Despain
  • Bridger-Teton National Forest
  • Tim Kaminski
  • Field crew/Technicians
  • Steve Wilcox
  • Chris Brown
  • Casey Sensesqua
  • Funding
  • Fire Sciences Lab, US Forest Service
  • National Park Service
  • University of Wyoming-NPS Co-op Unit
  • Bridger-Teton National Forest
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