Detailed Methods:
I input data
from Excel into ArcMap. I plotted the pika specimens with coordiantes
under plot data -> plot XY data -> and selected longitude for X, latitude
for Y. I projected the points and basemap in North
America Abers Equal Area Conic projection, with a
central meridian of -106. I used the world physical map and the NatGeo map images as base layers. To save the data, I went
to the Data tab -> export data -> and exported selected features as a shapefile to ArcCatalog. I
imported the pika points image layer into new dataframes, then projected raster data on the fly.
I
selected the data points of each genetic population using the lasso tool and
drawing around the perimeter of the populations. I then opened the attribute
table and copied the selected data rows into a new Excel sheet, labeling a
population column to patch the selected points. I did this for each separate
population, and created a new column for the genetic population. I imported the
population and body mass data into JMP, and ran and ANOVA and TukeyÕs test to compare means.
I
then extracted data from each of the rasters and
imported the values into excel. To export the raster values I used Spatial analysis -> Extraction -> Extract values to
points. I then copied the data from the attribute table into excel. I did this
for each of the climate and environmental variables I investigated. Once the
data was in Excel, I used JMP to make linear models comparing each variable to pika body mass. The analysis of elevation over time was
done using museum online database GBIF, which contains data from major natural
history collections across the USA. I averaged the body mass of all pikas from each decade and then plotted the elevation of pika specimens collected over time.
