Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/95274
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Type: Journal article
Title: Genetic inference as a method for modelling occurrence: a viable alternative to visual surveys
Author: Wadley, J.
Austin, J.
Fordham, D.
Citation: Austral Ecology, 2014; 39(8):952-962
Publisher: Wiley-Blackwell
Issue Date: 2014
ISSN: 1442-9985
1442-9993
Statement of
Responsibility: 
Jessica J. Wadley, Jeremy J. Austin, and Damien A. Fordham
Abstract: Management and conservation require a comprehensive understanding of species distributions and habitat requirements. Reliable species occurrence data are critical in the face of climate change and other anthropogenic activity, but are often difficult to obtain, particularly for wide ranging species. This directly affects ecological models of occurrence and habitat suitability and, in turn, conservation and management decisions. We used generalized linear mixed-effects models to identify ecological determinants of occurrence for four macropod species (across a region of tropical northern Australia) using a non-invasive genetic scat approach with and without additional observation records from visual surveys. We show that genetically derived occurrence data, alone, can be used to develop informative ecological models that describe the inter-specific habitat requirements of macropods. Furthermore, we show that genetic scat surveys of macropods are cheaper and less time consuming to conduct, and tend to provide more occurrence records (and less false absences) than visual surveys. We conclude that indirect surveys using molecular approaches have an important role to play in modelling species' occurrence, and developing future management practices and guidelines to aid species conservation.
Keywords: indirect genetic survey; kangaroo range dynamics; non-invasive genetic sampling; scat; species distribution model; species occurrence
Rights: © 2014 The Authors
RMID: 0030015073
DOI: 10.1111/aec.12160
Grant ID: http://purl.org/au-research/grants/arc/DP1096427
Appears in Collections:Ecology, Evolution and Landscape Science publications

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