Presentation Details
| Listening for Risk and Opportunity: Social Acoustic Signals and Feeder Foraging in a Bird Community Po-An Chen, Kathryn E.Sieving . University of Florida, Gainesville, FL, USA |
Abstract
Animals often rely on social information to assess their environment, particularly in groups where information can be shared across species. In the eastern United States, sentinel species such as the Tufted Titmouse (Baeolophus bicolor) produce vocalizations that convey information about predation risk and foraging opportunities to both conspecifics and heterospecifics. While previous work has focused largely on antipredation contexts, less is known about how this acoustic information shapes behavior during routine foraging.
We investigated how playbacks associated with different inforamtion (predator cues and titmouse signals of risk and safety) influence feeder-use behavior. We quantified foraging behaviors and examined variation across species, time of day, and local community contexts.
Preliminary analyses suggest that feeder-use behavior varies across species, with responses to acoustic cues depending on social and temporal context. Ongoing analyses are refining the statistical framework used to evaluate these relationships.
This work contributes to understanding how social information structures behavioral decisions and shapes interactions within ecological communities.
No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author.
We investigated how playbacks associated with different inforamtion (predator cues and titmouse signals of risk and safety) influence feeder-use behavior. We quantified foraging behaviors and examined variation across species, time of day, and local community contexts.
Preliminary analyses suggest that feeder-use behavior varies across species, with responses to acoustic cues depending on social and temporal context. Ongoing analyses are refining the statistical framework used to evaluate these relationships.
This work contributes to understanding how social information structures behavioral decisions and shapes interactions within ecological communities.
No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author.
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