Design refection on data collection

For my data collection I used point count sampling technique, I was determined to record bird sightings and assess the availability of rowan berries. Over five days, at three different times of the day.

One of the most striking observations was the fluctuating abundance of chickadees along the trail. On January 27th, I spotted 5 chickadees in the middle of the trail at 6 am, followed by 2 at the trail’s end at 6 am on January 28th. However, on January 29th, their numbers surged to 5 at 6 am in the middle of the trail and dwindled to 1 by 6 pm. The following day, January 31st, I recorded 3 chickadees at the trail’s start at 6 am.

 

While the presence of chickadees was expected given their generalist nature, the variability in their numbers raised intriguing questions about factors influencing their distribution and behavior, such as habitat preference. One of the biggest challenges was caused by the winter and getting out in colder temperatures.

 

Additionally, I noted a surprising variation in rowan berry density along different trail sections. At the trail start, I found 3 trees within 86.37 meters, with 90% of berries on the trees. In the middle of the trail, there were 4 trees within 90.52 meters, but with only 70% of berries on the trees. Towards the trail’s end, the density dropped sharply, with only 2 trees within 94.79 meters and a mere 20% of berries on the trees.This significant difference in berry availability can impact the amount of birds in the area. 

 

Looking ahead, I intend to continue data collection using the point count technique with modifications to enhance collection. I should: 

Increase Sampling Frequency: Instead of conducting observations three times a day, maybe go once every three hours and research about bird peak activity in Kamloops, the area or birds 

Shorten Observation Periods: Spend 15-20 minutes at each observation point rather than longer periods to minimize time commitment while still capturing sufficient data.

3 thoughts to “Design refection on data collection”

  1. Hello! I think this an interesting research project and it is similar to mine as I am also examining bird populations but in my backyard and with the bird feeders we have. After reading your post I do think that that increasing sampling frequency will be beneficial and it is what I have been thinking about doing as well. I also thinking that shortening your observation points and increasing your sampling frequency will provide good data! Good luck with your project!

  2. Your research utilizing point count sampling for bird sightings and rowan berry assessment is very interesting, focusing on the variability in chickadee abundance and rowan berry density! To enhance the hypothesis, consider making the prediction more explicit by specifying the expected relationship between chickadee abundance and rowan berry density. While the predictor and response variables are field-measurable, be mindful of potential confounding variables like weather conditions or predator presence, and possibly address them in your methodology? Your proposed modifications to increase sampling frequency and shorten observation periods are thoughtful, and aligning data collection with bird activity peaks in help your study. Good Work!

  3. I’m not clear on how 2-4 trees is a large difference in Rowan tree density.
    Point counts are usually 15-20 minutes long, I would recommend shortening this for sure if you are doing longer than 20 mins. Now that you have some initial data, you might also consider choosing one time of day that has the highest bird activity.

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