The species that I plan to study is Paper Birch (Betula papyrifera) and its distribution across elevation, aspect, and slope changes in the study area.
Site 1 – Lowest site in study area, located at toe of slope. Elevation is 570m above sea level. Slope is 0-5%. This site is the only site in the study area that I have observed large cottonwood trees. The forest composition is roughly 50% poplar, 30% birch, and 20% coniferous. There are a few willows.
Site 2 – Mid slope in study area. Elevation is 600m above sea level. Slope is 25-30%. The forest composition is roughly 65% poplar, 30% birch, 5% coniferous. There are more willows and low shrubs on this site than the other two sites.
Site 3 – Upper extents of study area. Elevation is 640m above sea level. Slope is 20-25%. The forest composition is roughly 60% poplar, 20% Birch, 20% coniferous. The forest is more widely spaced than the other two sites. There are shrubs/willows in the openings.
All forest compositions are quick, visual estimates of the immediate surrounding forest.
There is snow on the ground in all locations, varying from 30 to 60cm in depth.

My hypothesis is that birch tree populations will vary with changes in elevation, slope, and aspect. My prediction is that the most populated sites will be the lowest in elevation, most northerly aspects, and low to moderately sloped hillsides.
The response variable is the density of paper birch. This is a continuous variable.
The predictor variables are the slope, elevation, and aspect and are also continuous variables. These are likely linked to water availability for the birch. I am not able to measure the soil moisture content directly so I will rely on slope, elevation, and aspect as proxies to infer the soil moisture content of the soils. I will also record the other types of vegetation that are growing in the sample sites to infer moisture conditions. This is a categorical variable.
