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Nov 22nd Time: 1:30pm Temp: 40C Weather: Windy with overcast
Some of the dominant evergreen trees in Kenna Cartwright park are Douglas fir and Ponderosa pine. This project will be focused on the distribution of the evergreen trees with respect to the distance from the entrance point of the park.
These trees are easily identifiable, they have needle-shaped leaves, compared to the deciduous vegetation in the area that have lost their foliage.
Five different distances between 0 – 1000m were selected at which 50 x 5m belt transects were taken at the 5 different locations. These 5 distances were predetermined by an online number generator.
My prediction is that the density of the trees will increase the farther away from the entrance point. This may be due to the decreased human activity with an increase in this distance.
The response variable is the density of the trees and the explanatory variable is the distance from the entrance point to the park; this point is considered the zero point of measurement.
Since both of the variables are continuous, the regression experimental design will be utilized.
Instructor: Robyn Reudink
Make sure you take into account elevation changes and any other disturbances in choosing your study site location. Your prediction is clear but I’m not sure what your hypothesis is? Make sure it includes the pattern and the process and I can’t tell from your post what the process is that your study is looking at?