Using Referential Alarm Signals to Remotely Quantify 'Landscapes of Fear' in Fragmented Woodland

Title
Using Referential Alarm Signals to Remotely Quantify 'Landscapes of Fear' in Fragmented Woodland
Publication Date
2021-12-15
Author(s)
McDonald, Paul
( creator )
OrcID: https://orcid.org/0000-0002-9541-3304
Email: pmcdon21@une.edu.au
UNE Id une-id:pmcdon21
Doohan, Samantha
Eveleigh, Kyia
Type of document
Dataset
Language
en
Entity Type
Publication
Publisher
University of New England
Place of publication
Armidale, Australia
DOI
10.25952/bthq-5q25
UNE publication id
une:1959.11/33596
Abstract
These data are derived from both automated and manual screening of passive acoustic monitoring data collected using SM2+ recorders placed in woodland fragments in and around the Armidale region. The focal species of interest was the Noisy Miner (Manorina melanocephala), and three different call types were quantified using the species functionally referential signals: chip (social calls), chur (ground predator) and aerial (aerial predator) vocalisations. These data were then used to assess encounters with perceived predators in both different sized fragments and also locations within or on the edge of these habitats. Together, these were then used to infer the landscape of fear remotely in this system.
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