By: Brayden, Abby, Julia
Scientific Question: What is the most common flower in each plot?
Our topic/question is “What is the most common flower in each plot?”. At our highschool called Free State there’s a prairie which is the prairie we collected data from. The prairie itself is a tallgrass prairie which typically grows a variety of grasses and flowers. “The prairie is a complex ecosystem with a rich assortment of organisms adapted to abundant sunlight and wide, seasonal fluctuations in temperature and precipitation. (Tallgrass Prairie)” We decided to choose this question because there are loads and loads of flowers in the prairie and because of the easy access to it.
Tallgrass Prairie. (n.d.). Free State Prairie. https://freestateprairie.wixsite.com/mysite/ecology
First we walked out to the 1st plot, counted and identified each flower that we could see. Our documenter wrote the types of flowers down and tallied the amount of each flower. We then went to the 2nd plot and did the same thing but compared our data from the 1st plot. After that we went to the 3rd plot and counted again. Each plot had roughly the same type of flowers but the amount varied throughout. Our final conclusion was that for the 1st plot the flower Giant Blue Sage is the most common. We found 38 bunches of it in said plot. For the 2nd plot the most common is Virginia Mountain Mint with 15 bunches. Lastly the 3rd plot we looked at had 17 bunches of Giant Blue Sage which was the most common.
(You can see our data on the chart above).
American Aster
New England Aster
Giant Blue Sage
Our question was “What is the most common flower in each plot?”. We thoroughly counted and inspected each of the three plots we looked at and came up with the best answer. We discovered that through the three plots, Giant Blue Sage is the most common flower. The Giant Blue Sage happens to be the most common flower because large amounts and numbers of it were found throughout each of the three plots. We couldn't answer our question fully because of the fact that we only did three plots instead of the 20+ ones there were.
We believe our data was semi-accurate. We discussed that if we had another week to thoroughly look at each plot, instead of the three, we would've had more accurate and descriptive data. We did mess up by having to restart the counting process a few times but the data we have is better than our first few times. Our next steps are to continue to look at the rest of the plots and count thoroughly again.