Sigma Xi Poster Competition
Can Red Wolf Audio Cues Establish a Landscape of Fear Within a Naïve Mesopredator Population?
Academic Level at Time of Presentation
Graduate
Major
Wildlife and Conservation Biology
List all Project Mentors & Advisor(s)
Andrea Darracq, PhD
Presentation Format
Poster Presentation
Abstract/Description
Landscape of fear is the perceived threat of predation, whether spatial or temporal, within an environment that can affect prey communities and their foraging habits. Because of the perceived threat of predation, the foraging habits of prey species are mitigated, which in turn lessens environmental strains such as overgrazing, which can reduce plant biomass. The effects of landscape of fear can also extend to mesopredator populations. Specifically, in environments without apex predators, mesopredator populations, such as raccoons (Procyon lotor), may increase and lead to declines in their prey via depredation of both terrestrial and aquatic species. To replicate predation risks on an environment, and thus implement an artificial landscape of fear to determine if predation risks restrain mesopredator foraging habits, previous studies have used audio playbacks of known raccoon predators. While previous studies have used audio cues from extant predators to simulate a landscape of fear for raccoons, none have used the audio cues of an extirpated predator such as the red wolf (Canis rufus). Using foraging stations and audio cues from a current (coyotes [Canis latrans]), extirpated (red wolves), and non-predator (barred owls [Strix varia]) we will implement a landscape of fear model to determine if raccoons will display similar antipredator responses to a historic, extirpated predator compared to an extant predator. Our data could provide support for the restoration of these extirpated predators to the landscape to benefit populations of raccoon prey.
Spring Scholars Week 2024 Event
Sigma Xi Poster Competition
Can Red Wolf Audio Cues Establish a Landscape of Fear Within a Naïve Mesopredator Population?
Landscape of fear is the perceived threat of predation, whether spatial or temporal, within an environment that can affect prey communities and their foraging habits. Because of the perceived threat of predation, the foraging habits of prey species are mitigated, which in turn lessens environmental strains such as overgrazing, which can reduce plant biomass. The effects of landscape of fear can also extend to mesopredator populations. Specifically, in environments without apex predators, mesopredator populations, such as raccoons (Procyon lotor), may increase and lead to declines in their prey via depredation of both terrestrial and aquatic species. To replicate predation risks on an environment, and thus implement an artificial landscape of fear to determine if predation risks restrain mesopredator foraging habits, previous studies have used audio playbacks of known raccoon predators. While previous studies have used audio cues from extant predators to simulate a landscape of fear for raccoons, none have used the audio cues of an extirpated predator such as the red wolf (Canis rufus). Using foraging stations and audio cues from a current (coyotes [Canis latrans]), extirpated (red wolves), and non-predator (barred owls [Strix varia]) we will implement a landscape of fear model to determine if raccoons will display similar antipredator responses to a historic, extirpated predator compared to an extant predator. Our data could provide support for the restoration of these extirpated predators to the landscape to benefit populations of raccoon prey.