Data from: Not afraid of the Big Bad Wolf: calls from large predators do not silence mesopredators ...

Large predators are known to shape the behavior and ecology of sympatric predators via conflict and competition, with mesopredators thought to avoid large predators, while dogs suppress predator activity and act as guardians of human property. However, interspecific communication between predators h...

Full description

Bibliographic Details
Main Author: Root-Gutteridge, Holly
Format: Dataset
Language:English
Published: Dryad 2024
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.j9kd51ckc
https://datadryad.org/stash/dataset/doi:10.5061/dryad.j9kd51ckc
Description
Summary:Large predators are known to shape the behavior and ecology of sympatric predators via conflict and competition, with mesopredators thought to avoid large predators, while dogs suppress predator activity and act as guardians of human property. However, interspecific communication between predators has not been well-explored and this assumption of avoidance may oversimplify the responses of the species involved. We explored the acoustic activity of three closely related sympatric canids: wolves Canis lupus, coyotes Canis latrans, and dogs Canis familiaris. These species have an unbalanced triangle of risk: coyotes, as mesopredators, are at risk from both apex-predator wolves and human-associated dogs, while wolves fear dogs, and dogs may fear wolves as apex predators or challenge them as intruders into human-allied spaces. We predicted that risk perception would dictate vocal response with wolves and dogs silencing coyotes as well as dogs silencing wolves. Dogs, in their protective role of guarding human ... : # Not Afraid of the Big Bad Wolf: calls from large predators do not silence mesopredators ## tabBoutForDryad.xlsx \==================== This file contains all the manual detections of wolves, dogs, coyotes, and trains from the study period, combined into bouts (i.e., detections from the same device separated by a small time interval have been combined - see the paper text). Note that other detections (owls, deer, humans, etc) have been removed. Each line shows a separate bout with start time and end time in Matlab time format (days), as well as in readable text. Length is in seconds. The "Species" column indicates which animal species (C - coyote, D - dog, W - wolf, T - train). The "Device" column indicates on which recording device the detection was made. Each device was placed in a different location in the study deployment (see Figure 1 in the paper). Bouts that occured on different devices at the same time were examined manually to see whether they were likely to have been the same or separate events. ...