Lab 3 Ecology.xls

<b>Ecology BIOL 2050 Lab 3-Insect Abundance and Diversity in Saywell's Grassland and Wood lot- Dataset 1. </b> <b>Meta-Data </b> <b>Grassland:</b> is the area that is only covered by grass with no presence of trees in the Saywell area of York university campus. <b>Wood lot:</b> is the area that is covered by grass and trees in the Saywell area of York university campus. <b>Quadrat:</b> Measuring data, each Quadrat is about 1 meter by 1 meter square device randomly thrown on to Saywell's grassland and wood lot 10 times each after walking approximately 10 to 20 steps of total 20 times. Data was taken for the insects that were visually accounted for which were surrounded by the quadrat. <b>Abundance:</b> Total number of insects that appeared in the quadrat after 1 minute of it is thrown. Insects that were visually seen in the quadrat. <b># RTUs:</b> Numerical, discrete data. #= number. RTU= Recognizable Taxonomic Unit. The amount of different species of insects that were accounted for inside the quadrat. Species was differentiated by visual estimation such as colour, wing type, body type and sizes. <br><b>Method, Hypothesis and Prediction</b> This dataset was conducted by myself and my group member Maryam Yazdi started at 3:30 pm in a cloudy slightly raining condition which was started after a heavy raining. The method of collecting the dataset was 1 meter by 1 meter quadrat was thrown on randomly selected area of Saywell's grassland and wood lot of York university's Keele campus and waiting 1 minute then observing visually how many insects were in the area inside the quadrat. The quadrat was thrown 10 times at each site for total of 20 times. The purpose of this lab was to study the abundance of different species in the grassland and wood lot of Saywell in York university campus. Also, recognizable taxonomic units of the insects were accounted for by visually noticing their structural differences. Since it was a cold rainy weather, not much insects were observed, thus the data collected was quit low. <br> <br><br> <br>