Date of Award
2025
Document Type
Honors Thesis (Open Access)
Department
Colby College. Biology Dept.
Advisor(s)
Catherine Bevier
Second Advisor
Chris Moore
Third Advisor
Philip Nyhus
Abstract
Ecologists developed optimal foraging theory as a framework to understand how an animal may spend minimal time to maximize resource intake. A giving-up density (GUD) is a metric of the density of remaining food in a food patch at which an animal decides foraging is no longer economical. This study aims to test how the intensity of direct and indirect predator cues alter foraging patterns of deer mice. To measure GUD, I used depletable food patches deployed in the “upper woods” on the periphery of Colby College. To simulate direct predator cues, 1 mL of fox urine was applied on four cotton balls at different time lags (0, 1, and 4 hours) and deployed at experimental food patches. Mice foraged in the food patches through each trial night until sunrise, when the remaining seeds were collected and weighed in the lab. I found that Peromyscus spp. use indirect cues more than direct cues when evaluating predation risk. There was no significant change exhibited within all urine intensity levels, but forager tolerance for risk reduced in the presence of fresh urine. I saw a significant relationship between weather and GUD, as there was a 13% reduction in mean proportional GUD in rainy compared to clear weather. Seasonal differences also emerged, as 68% of summer trials exhibited complete seed removal from natural low food availability. These findings highlight the importance of indirect cues in shaping foraging strategies and contribute to a nuanced understanding of the landscape of fear.
Keywords
Behavioral Ecology, Giving-up Density, Optimal Foraging Theory, Peromyscus, Predator Cues, Landscape of Fear
Recommended Citation
Levinson, Nicholas G., "Effects of direct and indirect predator cue intensity on foraging decisions in a deer mouse, Peromyscus" (2025). Honors Theses. Paper 1513.https://digitalcommons.colby.edu/honorstheses/1513
