Modeling Contemporary Range Contraction in Great … Contemporary Range Contraction in Great Basin...
Transcript of Modeling Contemporary Range Contraction in Great … Contemporary Range Contraction in Great Basin...
Modeling Contemporary Range
Contraction in Great Basin Pikas
Jennifer Wilkening
Boundary Peak, White Mountains, Nevada
Rising temperatures,
changing precipitation
patterns, increased frequency
of extreme weather events
Global Climate ChangeCrane Mountain,
Warner Mountains, Oregon
Alpine species particularly vulnerable,
what about pikas ?
Located only in mountains surrounded by sagebrush areas
Relictual populations from cooler climates
Dispersal is difficult
“Habitat Islands” susceptible to biogeographic patterns
of extinction
Mount Jefferson, Toquima Range, Nevada
Several in the Great Basin have become extirpated during the 20th century (Beever et al. 2003)
Occurred at lower elevation sites, hotter and drier
Other factors◦ Amount of talus habitat
◦ Distance to a primary road
However, single strongest determinant of persistence was elevation of nearby habitat
Direct thermal stress
◦ Hyperthermia and death from high temperatures in the 25.5-29.4°C range
◦ Survival declines during extremely cold winters with less insulating snow cover, increased freeze-thaw events
Indirect thermal stress◦ Higher temperatures
limits activity during the day
◦ Changes in vegetation plant communities
Photo by Chris Ray
Lava Beds National Monument
Acute or chronic heat stress: pikas no longer occur where mean daily summer temperature and the amount of time above a temperature threshold are high
Cold stress: pikas no longer occur where amount of time below a temperature threshold is high
Vegetation: pikas no longer occur where there are less forbs and graminoids, more xeric adapted species
Combinations: ◦ Pikas no longer occur where high mean summer
temperatures combined with low forbs/grams◦ Pikas no longer occur where high amounts of time below
a temperature threshold combined with low forb cover
25 Field sites located in Nevada, Oregon, California Site Classification
Sites of persistence vs. sites of extirpation(n = 20)
Site level analysis
Transitional (n = 5), lower occupancy limit > than 200 meters upslope
Sub-site level analysis
Desatoya Range, Nevada
Thermochron ibuttons◦ 5-8 per site
◦ Placed adjacent to hay piles, scat (extirpation sites), GPS locations (transitional sites)
◦ Recorded temperature readings every 4 hours
◦ Placed inside the talus at a depth between 0.5-1 meters
◦ Multiple localities within each site (n = 191)
◦ Varying aspects, elevations (none below historical site elevation
Temperature Methods
Line-point-intercept method
4-5 Vegetation Surveys per site randomly selected
A 50 meter long transect with the data logger location as center point, one additional 50 meter long transect both above and below
Vegetation was placed into 1 of 6 life form categories: Forbs (herbaceous, flowering plants, excluding cushion plants), Graminoids (grasses and grass-like plants such as sedges and rushes), Shrubs (woody plants), Trees, Cushion Plants (low, mat forming plants), and Non-Vascular Plants (including lichen)
Toiyabe Range, Nevada
Toiyabe Range, NevadaDesatoya Range, Nevada
Predictors based on temperature
Mean summer temperature
Number of days above 26 C
Number of days above 28 C
Number of days below -5 C
Number of days below -10 C
Predictors based on vegetation
Relative cover of forbs
Relative cover of graminoids
Sources: 1) Beever et al. 2010 2) Smith and Ivins 1983 3) Smith 1978 4) Hafner 1993
5) Tapper 1973 6) Smith 1974a 7) MacArthur and Wang 1973 8) Dearing 1995, 1996, 1997a
9) Huntly et al. 1986 10) Sundby 2002 11) Ray and Beever 2007 12) Dearing 1995, 1996
13) Kreuzer and Huntly 2003
7 Predictor Variables Logistic Regression Various models composed
of different combinations of temperature and vegetation factors
R 2.6.2. was used to model pika persistence as a function of predictor variables
Relative support for each model and predictor were calculated using AICc
Welch two-sample t-test used to compare mean value of each predictor variable
Steens Mountain, Oregon
Model: Predictor (effect sign) AICC ΔAICC Akaike weight
SITE LEVEL
DaysBelow-10 C (+),
MeanSummerTemp (-)
17.381 0 0.529
MeanSummerTemp/RelForbCov
er (-)
19.473 2.093 0.186
Mean SummerTemp (-) 19.843 2.463 0.154
SUB-SITE LEVEL
Null model (intercept only) 16.363 0 0.282
DaysBelow-10 C/RelForbCover
(-)
17.976 1.613 0.126
MeanSummerTemp/RelGramCo
ver (-)
18.109 1.746 0.118
MeanSummerTemp/RelForbCov
er (-)
18.185 1.822 0.113
RelGramCover (+) 18.433 2.070 0.100
RelForbCover (+) 19.281 2.918 0.066
Photo by Shana Weber
Predictor Akaike
weight
Mean Akaike
wt/model
Sign of effect
SITE LEVEL
MeanSummerTemp 0.722 0.241 Neg (3)
MeanSummerTemp/RelForbCover 0.186 0.186 Neg (1)
DaysBelow-10 C 0.536 0.179 Pos (2), Neg (1)
RelForbCover 0.066 0.033 Pos (2)
DaysAbove28 C 0.058 0.019 Neg (2), Pos (1)
RelGramCover 0.016 0.008 Neg (2)
DaysBelow-10 C/RelForbCover 0.004 0.004 Neg (1)
MeanSummerTemp/RelGramCover 0.000 0.000 Pos (1)
SUB-SITE LEVEL
DaysBelow-10 C/RelForbCover 0.126 0.126 Neg (1)
MeanSummerTemp/RelGramCover 0.118 0.118 Neg (1)
MeanSummerTemp/RelForbCover 0.113 0.113 Neg (1)
RelGramCover 0.100 0.050 Pos (2)
RelForbCover 0.066 0.033 Pos (2)
DaysAbove28 C 0.075 0.019 Pos (4)
MeanSummerTemp 0.071 0.018 Neg (4)
DaysBelow-10 C 0.071 0.018 Neg (4)
The best model (ΔAICc = 0) of persistence at the site level
-5 0 5 10
0.0
0.2
0.4
0.6
0.8
1.0
Linear predictor: f(Mean summer temp., Days below -10 C)
Pers
iste
nce o
bserv
ed (
dots
) and m
odele
d (
line)
C H
D
(a)
Duffer Peak, Pine Forest Range, Nevada
Hays Canyon Range, Nevada
Disease Relationship
between intestinal bacteria and other endoparasites
Species interactions Reduced dispersal Reduction in the
amount of available forage time
Night time activity?
Photo by Chris Ray
Sites of persistence mean
summer temp (17.04°C)
vs. sites of extirpation (11.74°C),
p = 0.00
Mean number of days above 28°C at sites of persistence was 1.23, at sites of extirpation it was 10.42
( p = 0.02)
Hyperthermia and death can occur from even brief exposure to moderately high temperatures (25.5-29.4°C; MacArthur and Wang, 1973, 1974; Smith, 1974)
Behavioral thermoregulation, access to cooler temperatures ? Hart Mountain, Oregon
Pika survival declines during harsh winters; shallow snowpack, ice barrier, etc.
However, number of days below -10°C was positively correlated to persistence, possibly due to: Two year time series
represents a limited period of time.
Pika mortality resulting from harsh winters may occur only periodically.
Long term pika persistence may be less affected by colder winter temperatures.
White Pine Range, Nevada
Ruby Mountains, Nevada
Highly variable
Consume grasses immediately (smaller, less toxic)
Store forbs (herbaceous, flowering plants) for winter consumption (larger, toxic secondary compounds)
Hart Mountain, OregonToiyabe Range, Nevada
Hay piles sometimes contain more than enough plant material for winter survival (Dearing 1997)
OR Hay piles do not always contain
sufficient quantities of vegetation to provide an exclusive food source for the winter (Millar and Zwickel 1972)
OR Pikas may forage outside of the
hay pile (Conner 1983)OR
Hay piles are not always necessary (Simpson 2001)
HOWEVER Most likely hay piles function as an
adaptive response to environmental unpredictability
Photo by Chris Ray
Kiger Gorge, Oregon
Hay pile presence may be more important in the Great Basin
Haying food resources may be more important than grazing food resources
Essential nutrients found only in forbs
Forbs contain preservatives (Dearing 1997)
Moisture content of forbs
Sites of persistence relative forb
cover (28.79) vs. sites of
extirpation (8.61),
p = 0.00
Future of pikas in the Great Basin?
Arc Dome, Toiyabe Range, Nevada