A Bayesian network approach for selecting translocation sites for endangered island birds

Laws, Rebecca J. and Kesler, Dylan C. (2012) A Bayesian network approach for selecting translocation sites for endangered island birds. Biological Conservation, 155 178-185. doi:10.1016/j.biocon.2012.05.016

Author Laws, Rebecca J.
Kesler, Dylan C.
Title A Bayesian network approach for selecting translocation sites for endangered island birds
Journal name Biological Conservation   Check publisher's open access policy
ISSN 0006-3207
Publication date 2012-10
Sub-type Article (original research)
DOI 10.1016/j.biocon.2012.05.016
Volume 155
Start page 178
End page 185
Total pages 8
Place of publication Amsterdam, The Netherlands
Publisher Elsevier
Collection year 2013
Language eng
Formatted abstract
Translocation has become increasingly important for conserving island species. Limited tools are available for guiding the selection of translocation sites, however, particularly when establishing rescue populations outside of historic ranges. We developed a Bayesian network model framework for translocation site selection for island birds. The model consisted of four primary components including ecological requirements for survival, anthropogenic threats at the population establishment site, effects the translocated species may have on native species, and operational support associated with the translocation process and ongoing management. We then used the model to identify potential sites for the establishment of a wild population of Guam Micronesian kingfishers (. Todiramphus cinnamominus cinnamominus) on an island outside the bird's historic range. Conditional probabilities that guided model evaluations were allocated using information from the literature, expert opinions, and a training set of islands outside the region under consideration for releases. The model was used to evaluate 239 islands where a translocation population of Micronesian kingfishers could be established. Five islands, all in the Federated States of Micronesia, were identified as being suitable for assisted colonization, including Kosrae, Yap, Faichuk, Weno and Fefan. Sensitivity analysis showed a correspondence between model variables and island characteristics indicated by the literature as being the most important for successful translocation. We found the Bayesian network model to be a useful tool for translocation site selection despite limited information on the natural history of the Guam Micronesian kingfisher and the factors that impact the success of translocations.
Keyword Assisted colonization
Site selection
Island bird conservation
Bayesian network models
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
Official 2013 Collection
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Citation counts: TR Web of Science Citation Count  Cited 6 times in Thomson Reuters Web of Science Article | Citations
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