For my initial data collection, i recorded the amount of migratory birds and non-migratory birds occurred in 4 days, which were varied in temperature. I walked through each selected sites for 20 minutes, and repeat for 10 minutes. I recorded the bird species I can see. But I found that sometimes I can hear several voices from birds around me, but I cannot find them finally. The challenges came when I searched the information for each species. I found several unknown species, it may due to the insufficient recording. But the use of telescope didn’t allow me to take a precise photograph, the only thing I can did is recording or drawing their well-marked characteristics as soon as possible. And distinguishing migratory birds and residents also confused me. As some related study I viewed before, the climate change always have more obvious impact in long-distance migratory birds. So the main experimental subject in my study is the long-distance migratory bird. However, some bird species have different habits in different years, it made the classification more difficult.
The amounts of bird species surprised me a lot, I actually was not getting my hopes up about observing birds due to the severe cold weather in Winnipeg. I will keep my data collection technique, the point count stations. I thought about the random sampling in this study, but it may lead more predictor variables, like moisture or soil quality. Then it may deflect us from our purpose of temperature change.