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AvianBuffer: An interactive tool for characterising and managing wildlife fear responses

Overview of attention for article published in Ambio, April 2016
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Title
AvianBuffer: An interactive tool for characterising and managing wildlife fear responses
Published in
Ambio, April 2016
DOI 10.1007/s13280-016-0779-4
Pubmed ID
Authors

Patrick-Jean Guay, Wouter F. D. van Dongen, Randall W. Robinson, Daniel T. Blumstein, Michael A. Weston

Abstract

The characterisation and management of deleterious processes affecting wildlife are ideally based on sound scientific information. However, relevant information is often absent, or difficult to access or contextualise for specific management purposes. We describe 'AvianBuffer', an interactive online tool enabling the estimation of distances at which Australian birds respond fearfully to humans. Users can input species assemblages and determine a 'separation distance' above which the assemblage is predicted to not flee humans. They can also nominate the diversity they wish to minimise disturbance to, or a specific separation distance to obtain an estimate of the diversity that will remain undisturbed. The dataset is based upon flight-initiation distances (FIDs) from 251 Australian bird species (n = 9190 FIDs) and a range of human-associated stimuli. The tool will be of interest to a wide audience including conservation managers, pest managers, policy makers, land-use planners, education and public outreach officers, animal welfare proponents and wildlife ecologists. We discuss possible applications of the data, including the construction of buffers, development of codes of conduct, environmental impact assessments and public outreach. This tool will help balance the growing need for biodiversity conservation in areas where humans can experience nature. The online resource will be expanded in future iterations to include an international database of FIDs of both avian and non-avian species.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 13%
Student > Bachelor 9 13%
Student > Ph. D. Student 7 10%
Student > Master 6 9%
Other 4 6%
Other 10 14%
Unknown 24 35%
Readers by discipline Count As %
Environmental Science 19 28%
Agricultural and Biological Sciences 12 17%
Business, Management and Accounting 3 4%
Social Sciences 2 3%
Mathematics 1 1%
Other 4 6%
Unknown 28 41%