Factors Influencing Pika Foraging Behavior in North Cascades National Park, Washington Rachel Richardson 1,2 and Jason Bruggeman 1 1--Beartooth Wildlife Research, LLC; 2--University of Montana
Mar 26, 2015
Factors Influencing Pika Foraging Behavior in North
Cascades National Park, Washington
Rachel Richardson1,2 and Jason Bruggeman11--Beartooth Wildlife Research, LLC; 2--University of Montana
• Rising temperatures
• Changing precipitation patterns
• Increased frequency of extreme weather events
• Shifting species distributions
• Upslope range contractions in alpine species
Global Climate Change
Alpine species are vulnerable!
American pika (Ochotona princeps)
Pika Ecology
• Small herbivorous lagomorphs
• Restricted to talus slopes (i.e., rock piles)
• Well adapted to moist, cool climates
• Behaviorally thermoregulate
• Resting body temperature near lethal maximum
• Sensitive to higher temperatures
• Retreat under rocks to avoid stressful daytime temps (Smith 1974)
Climate Change Indicator Species
Pika Foraging Behavior
• Grazing behavior - immediately consume plants
• Haying behavior - collect, transport, and store plants for
winter use - cache vegetation in “hay piles”
Why are these hay piles important?
• Provide adequate forage for overwinter survival (Dearing 1997)
• Seasonal fluctuation in food availability • Enable pikas to manage resources during
winter
• Preferred plants contain beneficial compounds (Dearing 1997)
• Hay piles may insulate nesting sites from extreme temps (Krear 1965)
• Provide predator protection (Ivins 1984)
However …
• Short summer growing season (early July – August)
• Time available to build hay piles restricted (Huntly et al. 1986)
• Increased foraging during peak vegetation biomass (Morrison et al. 2009)
• Thermal stress may constrain time available for foraging
North Cascades National Park
Encompasses 275,684 ha in north centralWashington
Elevations ranging between 300 and 2,800 m
Study Area
High Priority Species
Primary Research Question:
How will a changing climate affect pika foraging behavior?
Research Plan
• Collect data on pika behavioral time budgets
• Calculate proportion of time spent grazing and haying
• Evaluate relationships between foraging behaviors and temperature, elevation, date, climate and vegetation covariates
Data Collection Methods
• Pika Surveys- Direct observations- Audible vocalizations- Active hay piles with
fresh vegetation
• Focal Animal Sampling- 5 minute individual
observations on up to 5 pikas in a patch
Data Collection Methods
• Habitat Attributes- 25 m vegetation
transects (classification, % cover)- Recorded surface temperature- GIS elevation layer
• Covariate Estimation- Data from 8 NRCS SNOTEL sites (estimate SWE, melt date)
2009 Surveys
30 1-km2 areas surveyed in 2009
27 areas with pikas
Behavioral observations in
15 of the selected sites
2010 Surveys
13 1-km2 areas resurveyed in
2010
13 areas with pikas
Behavioral observations in 8 of the selected
sites
Analysis Methods
• 8 predictor variables: TEMP, ELEV, DATE, MELT, SWEMAX,
VEGCOVER, FORAGECOVER, YEAR
• Logistic regression modeling• Evaluated 71 models with additive combinations of covariates• R 2.6.2 to fit models and estimate parameter coefficients
• AICc and wi for each model
• ΔAICc to rank and select top models
HypothesesCovariates Proportion of
time grazingProportion of time haying
Temperature - -
Elevation + +
Date - +
Date of spring snowmelt + -
Maximum snowpack snow water equivalent (SWEMAX)
+ -
Proportion of vegetation cover
+ +
Proportion of forage cover
+ +
Results
• 95 foraging observations• 15 unique 1-km2 survey areas and 37 unique patches• ELEV: 889 – 2,173m (mean = 1,552; SE = 34) • TEMP: 42.9°F – 83.5°F (mean = 61.5; SE = 1.0)• DATE: June 25 - September 27 (mean = August 14; SE = 2)• SWEMAX: 0.5 - 1.1 m (mean = 0.72; SE = 0.02 )• MELT: May 12 - August 9 (mean = June 14; SE = 2)• VEGCOVER: 0.07 - 0.66 (mean = 0.29; SE = 0.01)• FORAGECOVER: 0.0 - 0.3 (mean = 0.09; SE = 0.01)
Results -- Grazing Models
Model ΔAICc wi
47 0.00 0.808 46 2.93 0.187
Model ΔAICc wi
47 0.00 0.808 46 2.93 0.187
Model #47 Coefficient SignTEMP -ELEV -DATE -MELT +VEGCOVER -YEAR (2010) +
Results -- Grazing Models
Allsignifican
tat P =
0.05
Results -- Haying Models
Model ΔAICc wi
46 0.00 0.999 47 13.96 0.001
Results -- Haying Models
Model ΔAICc wi
46 0.00 0.999 47 13.96 0.001
Model #46 Coefficient SignTEMP +ELEV +DATE +SWEMAX -VEGCOVER +YEAR (2010) -
Allsignifican
tat P =
0.05
Some answers …Covariates Proportion
of time grazing
TEMP -
DATE -
MELTDATE +
Covariates Proportion of time haying
DATE +
ELEV +
VEGCOVER
+
SWEMAX -• TEMP : Behavioral thermoregulation• DATE : Time/energetic considerations• MELTDATE : Time constraint • ELEV : Availability of higher quality forage, lower temperatures• VEGCOVER : Increased availability of vegetation in a talus patch • SWEMAX : Greater snowpack accumulation may delay melt and influence new vegetative growth
More questions …
Covariates Proportion of time grazing
ELEV -
VEGCOVER
-
Covariates
Proportion of time haying
TEMP +
• ELEV : Differences in plant abundance/quality among elevations?• VEGCOVER : Influence of preferred forage types?• TEMP : Data limitation? Not enough observations at higher temps?
Conclusions -- Pikas and Climate Change
• Multiple interacting factors influencing
pika foraging behavior• Increasing temps, shifting precip patterns may negatively impact forage availability - Less forage = smaller hay piles - Smaller hay piles = lower winter survival (reduction in food and nest insulation)
Conclusions -- Pikas and Climate Change
• Increasing temps may also limit time available for foraging - Less daytime activity = shift to night activity?• Low elevation populations may experience effects of climate warming first - Unsuitable habitat = low elevation extirpations = upslope range contractions
Management Recommendations
• Compare environmental variables across elevations
• Observations throughout the day to better understand temp variability
• Evaluate changes in plant communities across elevations
• Annual surveys!
• North Cascades NPS Complex
• Seattle City Light’s Wildlife Research Program
• Field crews during 2009 and 2010
Acknowledgements
Questions?