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Jobs -
Jobs -
Documenter- Brody and Julius
Researcher - Julius
Visual Director - Brody
Background
Background
When we learned about the prairie we learned that there are multiple types of plots. There are three different types of plots on the prairie with six of each plot. (Seeded grass plots, Grass and Forbes plots, and Grasses with 2x Forbes.) Since each plot is treated differently and contains different contents we decided to test if there are differences in the nutrients of the soil.
Every plot is 13.7m by 16.3m with 2 meter walk ways between them all. Each plot has four sections in it (A,B,C,D). The prairie is not native and used to be a football field. In 2014 a few researchers at the university of Kansas decided to transform the field into a research site and a prairie.
Method
Method
When gathering data we labeled all of our materials to stay organized. Next we went outside to the prairie and collected two soil samples from each of the three types of plots. The next day we used the PH level testing tubes for all of the soil samples. When the testing strip showed us the Ph level we wrote it down on a piece of paper to record our data, then we put our data into the computer to get the average PH level per plot.
Map
Map
Using this plot map we decided to get the most diverse plots. We studied and examined plots 17, 18, 3, 10, 4, & 6.
Data
Data
Our plan was to test the PH levels of different plots in the prairie. Based off the data we collected the plots with 2x Forbes had the highest PH level, and plots with grasses and Forbes had slightly more than the seeded grass plots.
Conclusion
Conclusion
In conclusion the plots with 2x Forbes and grass had the highest PH level compared to the other plots. The seeded grass plots had the lowest PH level, and the regular Grass and Forbes plots fell in the middle of the other plot types. If we could go back and change one thing we would've gotten a soil sample from every plot to get a better average. We also with that we could compare the PH levels in all four seasons and if the data would stay consistent throughout the year or would change seasonly.
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