| Photo by: Stephanie B. |
Ask anyone living in the United States to point to a robin and they can do it with ease. The robin, more precisely known as the American Robin, or Turdus migratorius, is the most recognized bird by the average person. They are larger than most other songbirds and have a distinctly red breast that colors most of their front side. Robins have a deeper-sounding song than other birds, and is fairly easy to detect amongst the smaller birds. Take a listen with the sound clip below, and test your skills.
As a group, prior to zeroing in on the robin as our species of choice we decided we wanted to do a study experimenting with foraging ecology, a subset of behavioral ecology. As a concept it looks to study energy spent foraging for food versus energy obtained from the foods, and analyzing what factors may be affecting this trade-off. We toyed around with experimenting with ants at first, but found difficulties finding enough suitable populations of them. Next, we moved onto the robin. We knew they lived on and near campus, and knew we could easily spot them. They became a reliable species to study considering our time and distance restraints. Plus, they’re neat to watch pulling up worms.
Next, we looked into what might affect a robin’s foraging time. Human disturbance was a quick choice because almost all animals seem to now be affected by some sort of anthropogenic disturbance. Next we determined how best to quantify disturbance; we chose to do this by counting number of people passing by the robins we were observing. Overall, our question became:
How does the presence of humans affect the foraging time of the American Robin?
| Photo from: http://vireo.acnatsci.org/bird_academy/what_birds_eat/worm-eating %20birds.php |
We thought American robins would spend less time foraging when affected by more disturbance. Disturbance was categorized as any nearby human presence including walkers, bicyclists, and passing cars.
Our study was an observational point-count study. Through selective randomization we chose ~30 sites to observe robins. The sites were a mixture of high and low traffic campus locations, tree lined areas of campus, and forested areas in the Sehome Arboretum. An observer was sent to a site and stayed observing for 30 minutes. During this time they recorded the foraging time of any robin they saw land. The start point for time spent foraging was dictated by the instant that a robin landed and exhibited foraging behaviors and end point was when the robin flew away to refuge or stopped exhibiting foraging behaviors. While robin foraging time was collected surveyors tallied human passing by at the respective distance categories. Other data recorded included observer, date, site location, percent cloud cover, wind, precipitation, and general disturbance notes when no birds were observed.
| Map of study sites |
After collecting our data we did a regression analysis to compare people passing by within 10 meters or less versus time spent foraging and another one of total people within sight versus foraging time. We found no significant correlation between the time a robin spent foraging and the amount of people passing within 10 meters. However, we did get significant results when we compared total number of people versus time spent foraging. This indicated there was a significant relationship between the two, however, it may be due to other factors that we did not consider, since we also had a very low R2 value.
Figure 2. Effects of human presence on foraging time
(n=45). Graph presents regression results between total number of people passing by vs time robins spent foraging on Western Washington University’s campus and the Sehome Hill Arboretum. P-value: 0.0044. Adjusted R2: 0.1548. |
Figure 1. Effects of human presence on foraging time
(n=45). Graph presents regression results between number of people passing by less than 10 meters away versus time robins spent foraging on Western Washington University’s campus and the Sehome Hill Arboretum.
P-value: 0.6707. Adjusted R2: -0.0189.
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To consider what else might have led to these results we compared the three habitat types. We conducted three one-way ANOVAs comparing the habitat types (categorized as forested, open field, and boundary areas) versus foraging time. These tests also provided no significant results.
Overall, we do not feel confident our data produced any strong results. However, it’s important to consider some shortcomings which may have affected our results. First, we did not exclude outliers from our data. Though this may have provided a stronger correlation, it also would have caused us to lose data. We also were only able to collect data from 17 of our 30 selected sites. If we had more time, we could have collected more data. Lastly, we should have taken food abundance into account as robins may have been able to locate food better in manicured lawns than underbrush.
While we are left with unuseful results, we do not mean to alleviate any concern people may have on their effect on robins. We recommend landowners consider habitat and prey implications for the American robin before building or changing landscapes. Although we found no direct effect of human disturbance on robin foraging times, it’s possible habitat changes could have an indirect effect via prey or predator changes.



























