preview

Simpson Evenness

Decent Essays
Open Document

The results show that Manuel Antonio has the highest Simpson’s Index of Diversity with a .92. I believe that these results are miss leading. The Simpson’s Index of Diversity takes into account both species richness and evenness. Richness is defined as “the number of species per sample” and evenness is defined as “a measure of the relative abundance of the different species making up the richness of an area” (Country Side Info). Manuel Antonio was very even, all of the plant species in the area had one or two individuals. The other samples that I took all had at least one species that was much more prevalent than the others. Due to evenness being a main factor in the Simpson’s Diversity of Index is why according to this formula Manuel Antonio …show more content…

When I pictured Monteverde in my head I pictured a very dense forest and parts of Monteverde were. I believe that because I did my experiment right next to the trail that the plants were not nearly as dense as they would have been if we were 100 feet off the trail. Being so close to the trail means that the plant are still close to humans which can harm them. Even though it is a protected area, humans can have an impact. I do believe my statement about precipitation in Monteverde was correct. Monteverde had plenty of precipitation, 118 inches a year, (Monteverde Info) which is a factor that can lead to high …show more content…

The first drawback is we do not know the names of the plants. If we knew the names of the plants or at least what families they are in we could gain a lot more from our research. Secondly, how we counted the moss may lead to incorrect results. We counted the plants by number but originally we just wrote down, for example, “one patch of moss.” We then had to go back and assign it a number based on the percent of area we thought the moss was covering. Thirdly, our sample sizes were small. If they were larger we would have had a bigger picture of the biodiversity in the area. For example, in Monteverde if we had a larger sample size it may have reached to where the plants were denser farther off the trail. This would lead to Monteverde having a higher Simpson Index of Diversity. Lastly, there is always human bias. I chose my spots and many things influenced where I chose such as quantity of plants and how pretty the plants were. If I had to do this experiment over again I would use larger sample sizes so I could get a better idea of the biodiversity. I would also want to fix the way we accounted for moss. Lastly, I would want to know more about the plants we were counting so more information could be extracted from the

Get Access