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Snow/Wolf/Elk Interactions in Yellowstone National Park. Craig Anderson. Institute of Arctic and Alpine Research Department of Geography University of Colorado-Boulder Boulder, Colorado. Overview. Introduction Background History Winter Mortality

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snow wolf elk interactions in yellowstone national park
Snow/Wolf/Elk Interactions in Yellowstone National Park

Craig Anderson

Institute of Arctic and Alpine Research Department of Geography University of Colorado-Boulder Boulder, Colorado

overview
Overview
  • Introduction
  • Background
    • History
    • Winter Mortality
    • Index of Winter Severity
  • Current Research
  • My Research
  • Summary
introduction
Introduction
  • Reintroduction of grey wolves (Canis lupus) into Yellowstone National Park 1995
  • Provided new opportunities to study several aspects of wolf predation
    • Effects of winter severity on predation patterns
    • Specifically elk (Cervus elaphus)
introduction5
Introduction
  • Previous studies focused on long-extant wolf-prey systems
  • Reintroduction allowed for studies focusing on mutual development of learned wolf and elk behavior simultaneously
possible questions
Possible Questions
  • How would the winter severity affect wolf predation on a previously wolf-free elk herd?
  • Would introduced wolves tend to take older, malnourished or otherwise vulnerable elk?
  • What is the kill rate and amount of prey consumed?
possible questions7
Possible Questions
  • Would reintroduced wolves find predation so easy that they would eat small amounts from each kill?
  • Finally, and perhaps most importantly, how would these relationships be affected by winter severity?

Other questions ???

background
Northern Rocky Mountain wolves native to Yellowstone in 1872

Predator control prominent in late 1800’s and early 1900’s

Between 1914-1926 at least 136 wolveskilled

Background
background9
Background
  • Yellowstone wolves believed to be extinct by 1940
  • Wolves persistent in lower 48 states only in Minnesota and on Isle Royal in Michigan
  • Early 1980’s, wolves began to reestablish near Glacier National Park in northern Montana
  • By 1996, estimated 75 wolves inhabited Montana
background10
Background
  • Wolves are listed as “endangered” throughout its historic range in lower 48 except Minnesota where it is threatened
  • NPS policy calls for restoring native species under certain circumstances:
    • Sufficient habitat exists
    • Management can prevent threats to outside interests
    • Restored species resembles extirpated species
    • Extirpation resulted from human activities
background11
Background
  • October 1991 EIS begun on restoring wolves to Yellowstone and central Idaho
  • Several years of study and near record number of public comments
  • Finally, two wolf packs released in 1995 and 1996
background12
Background
  • USFS and Canadian wildlife biologists captured the wolves in Canada
  • The release was successful and wolves seen preying on elk shortly thereafter
winter mortality
Winter Mortality
  • The primary prey for wolves in YNP is ungulates, specifically elk
  • Until reintroduction, mortality of most ungulates in winter due to malnutrition
winter mortality14
Winter Mortality
  • At reintroduction, the YNP elk herd was near or at ecological carrying capacity
  • Herd contained high numbers of old and vulnerable individuals
  • Herd #’s estimated between 14,000-20,000
winter severity
Winter Severity
  • Widely accepted that severe winter conditions are the primary cause of elk mortality in YNP
  • Heavy snowpack, cold temperatures, and inadequate forage contribute to significant mortality
winter severity16
Winter Severity
  • Large ungulates can travel and forage in deep snow, but it also limits their mobility and increases overall energy expenditures
  • Predation, locomotion, browsing strategies, thermodynamic regulation and herd distribution all affected by winter snowpacks
  • Snowpack properties can play a significant role: density, hardness, depth, stratigraphy, SWE
winter severity17
Winter Severity
  • However, lacking a substantive definition of “winter severity”
  • Yet to be adequately quantified
  • “Its like porn, you can’t define it, but you know it when you see it”
current research
Current Research
  • Index of Winter Severity (Farnes et al., 1999)

Snowpack Distribution Across Yellowstone National Park

http://nrin.nbii.gov/climate/ynp_report.pdf

    • IWS intended to estimate animals’ response to climatic and vegetative conditions on the winter range
    • Obtained by combining snow water equivalent (SWE), cumulative minimum temperatures below the effective critical temperature and forage availability on the winter range
index of winter severity iws
Index of Winter Severity (IWS)
  • Snow Water Equivalent (SWE)
    • Amount of water produced by melting snowpack
    • Snow depth x (snow density/water density)
    • Obtained from SNOTEL, snow courses and CLIM stations
    • As SWE increases:
      • Foraging area decreases
      • Energy expended in locomotion and foraging increases
      • Competitionfor forage increase
index of winter severity iws20
Index of Winter Severity (IWS)
  • Effective Critical Temperatures (ECT)
    • When air temps are below the threshold ECT, elk must increase basal metabolic rate to maintain body temperature
    • Must utilize energy from fat reserves to maintain adequate body temps
    • Cumulative losses thru the winter
    • Calculated by subtracting ECT from minimum temperature and accumulated over the winter
index of winter severity iws21
Index of Winter Severity (IWS)
  • Forage production
    • Production of summer forage critical to winter survival
    • Amount produced usually a function of available spring moisture and temperature
    • Uses Keetch-Byram Drought Index (KBDI) to determine amount of annual forage produced
index of winter severity iws22
Index of Winter Severity (IWS)
  • Combination of these three variables produces an IWS for elk
  • Values range from -4 to +4
  • Variables weighted as:
    • SWE = 45%
    • ECT = 35%
    • KBDI = 20%
current research23
Current Research
  • Winter Severity and Wolf Predation on a Formerly Wolf-Free Elk Herd (Mech et al., 2001)

http://www.npwrc.usgs.gov/resource/2002/severity/severity.htm

  • Studied wolf predation on elk in YNP in 1997-98 during severe and mild winter seasons
  • Examined carcasses for age, sex, estimated amount eaten
  • Collected bone marrow samples and mandibles
  • Concluded that the effect of wolves on elk herd numbers is related to the magnitude of winter severity
current research24
Current Research
  • Others:
    • Density dependence modeling (Lora Ballinger 1999)
    • Bioenergetics/Spatial modeling (Dr. Monica Turner – University of Wisconsin at Madison
    • Several others
my research
My Research
  • Complexity Across Boundaries – Coupled Human and Natural Systems in the Yellowstone Northern Elk Winter Range
    • NSF funded under Biocomplexity program
    • Develop a Multi-Agent Simulation Model (MAS) that explores NEWR vulnerability to environmental stressors
    • Understanding ecological systems where humans are significant factors
    • http://gis.iowa.uiowa.edu/private/yellowstone/
biocomplexity website
Biocomplexity Website

http://gis.iowa.uiowa.edu/private/yellowstone

objectives
Objectives
  • Investigate snow/elk interactions while focusing on snow component by characterizing spatial and temporal distribution of snowpack properties
  • Use a combination field data, model evaluation and model development to make contributions in snow hydrology and ecology
  • To provide snowpack properties as input into the elk bioenergetics model
questions
Questions
  • Which snow parameters are significant with respect to elk bioenergetics?
    • Depth, density ,SWE, hardness
    • Snowfall and snowmelt magnitude and timing
  • Which elk energetic expenditures are significant components?
    • Forage, locomotion, winter survival
  • What is winter severity?
  • Model Resolution?
    • Spatial and temporal
  • What level of complexity is needed for most robust model?
    • Parameter selection and estimation
  • Deterministic and Stochastic modeling approaches
site description
Site Description
  • Spans ~80,000 hectares
  • Lands managed by
    • NPS, USFS, MFWP, private ownership, others
  • Contentious land management issues
  • Characterized by elevation, precipitation and temperature gradients
  • Inverse relationship b/t precip and forage
evaluation of nrel yellowstone snow model
Evaluation of NREL Yellowstone Snow Model
  • Snow Model for Yellowstone National Park developed by Francis Singer, Gary Wockner, Mike Coughenour of the Natural Resource Ecology Lab (NREL) and Phil Farnes of Snowcap Hydrology in 2001
  • Purpose: To produce prediction maps of snow water equivalence (SWE) in Yellowstone National Park (YNP)
  • Snowpack influences the feeding habitat, locomotion, migration timing, vulnerability to predation and overall energy expenditures of elk
field work to date
Field Work to Date

Field Methods:

  • Snow Probe
    • snow depth measurements at 50-m grid spacing
    • GPS point location
  • Snow Pits
    • Depth, density, temperature, hardness, grain size, grain shape and stratigraphy
    • GPS point location
slide32

Field Work to Date

Yellowstone National Park

NEWR

Crystal Creek Drainage

field work to date33
Field Work to Date
  • Crystal Creek Snow Survey
  • January 15-17, 2003
  • 1200 GPS depths
  • 21 reference snow pits
  • Crystal Creek Snow Survey
  • April 1-4, 2003
  • 300 GPS depths
  • 6 reference snow pits
field work to date34
Field Work to Date

Sample snow pit profile from Crystal Creek April ‘03

crusts

additional field data yerc
Additional Field Data (YERC)
  • Lamar Valley - 31 additional snowpits dug early and late season ’03
  • Blacktail Plateau – 30 additional snowpits dug early and late season ‘03
slide36

CurrentStatus

  • Evaluation
    • NREL model evaluation and validation
    • Running model for days with corresponding field data
    • 24 days/119 snow pits
    • Measured vs. Modeled
sntherm overview
SNTHERM Overview
  • Process driven, one-dimensional energy and mass balance model
  • Developed by Rachel Jordan at CRREL in 1991
  • Models changes in snowpack properties through time
  • Model driven by first principles not empirical relationships
sntherm overview38
SNTHERM Overview
  • Explicitly distributes energy, mass and momentum on a layer-by-layer basis throughout the snowpack
  • 14 constant parameters
    • Elevation, slope, aspect, surface roughness, etc.
  • 20 state variables
    • Snow density, temperature, depth, grain size, SWE, etc.
  • Driving Variables
    • Air temp, relative humidity, wind speed, incoming/outgoing shortwave radiation and incoming longwave radiation
geostatistical overview
Geostatistical Overview
  • Understanding spatial distribution of snowpack properties challenging problem in snow hydrology
  • Past and current spatially distributed snow models differ in the process representation they involve
  • Use geostatistical techniques to spatially distribute measured snowpack properties
summary
Summary
  • Reintroduction of wolves in YNP contentious issue
  • Provides the opportunity to study the effects of wolves on a previously wolf-free elk herd
  • What are the effects of winter severity on elk/wolf/snow relationships?
summary41
Summary
  • What is winter severity and what role does it play in elk-wolf interactions?
  • Current research efforts
    • Index of Winter Severity (Farnes et al)
      • intended to estimate animals’ response to climatic and vegetative conditions on the winter range
      • SWE, ECT and KBDI
    • Winter Severity and Wolf Predation on a Formerly Wolf-Free Elk Herd(Mech et al., 2001)
summary42
Summary
  • Mech et al
    • Concluded that the effect of wolves on elk herd numbers is related to the magnitude of winter severity
  • Complexity Across Boundaries – Coupled Human and Natural Systems in the Yellowstone Northern Elk Winter Range
    • Develop a Multi-Agent Simulation Model (MAS) that explores NEWR vulnerability to environmental stressors
summary43
Summary
  • Biocomplexity continued
    • Understanding ecological systems where humans are significant factors
    • Investigate snow/elk interactions while focusing on snow component by characterizing spatial and temporal distribution of snowpack properties
    • Use a combination field data, model evaluation and model development to make contributions in snow hydrology and ecology
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