Predictive distribution models and their application in wildlife conservation Gibson, Lesley, Wilson, Barbara, Cahill, David and Hill, John 2003, Predictive distribution models and their application in wildlife conservation, in 3rd International Wildlife Management Congress : programme and abstracts, Landcare New Zealand, New Zealand, pp. 43-43. Attached Files Name Description MIMEType Size Downloads Title Predictive distribution models and their application in wildlife conservation Author(s) Gibson, Lesley Wilson, Barbara Cahill, David orcid.org/0000-0002-2556-0528 Hill, John Conference name International Wildlife Management Congress (3rd : 2003 : Christchurch, N.Z.) Conference location Christchurch, N.Z. Conference dates 1-5 December 2003 Title of proceedings 3rd International Wildlife Management Congress : programme and abstracts Publication date 2003 Start page 43 End page 43 Publisher Landcare New Zealand Place of publication New Zealand Summary Wildlife managers are often faced with the difficult task of determining the distribution of species, and their preferred habitats, at large spatial scales. This task is even more challenging when the species of concern is in low abundance and/or the terrain is largely inaccessible. Spatially explicit distribution models, derived from multivariate statistical analyses and implemented in a geographic information system (GIS), can be used to predict the distributions of species and their habitats, thus making them a useful conservation tool. We present two such models: one for a dasyurid, the Swamp Antechinus (Antechinus minimus), and the other for a ground-dwelling bird, the Rufous Bristlebird (Dasyornis broadbenti), both of which are rare species occurring in the coastal heathlands of south-western Victoria. Models were generated using generalized linear modelling (GLM) techniques with species presence or absence as the independent variable and a series of landscape variables derived from GIS layers and high-resolution imagery as the predictors. The most parsimonious model, based on the Akaike Information Criterion, for each species then was extrapolated spatially in a GIS. Probability of species presence was used as an index of habitat suitability. Because habitat fragmentation is thought to be one of the major threats to these species, an assessment of the spatial distribution of suitable habitat across the landscape is vital in prescribing management actions to prevent further habitat fragmentation. Language eng Field of Research 050299 Environmental Science and Management not elsewhere classified Socio Economic Objective 970105 Expanding Knowledge in the Environmental Sciences HERDC Research category L3 Extract of paper (minor conferences) Persistent URL http://hdl.handle.net/10536/DRO/DU:30015698 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Ecology and Environment   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 26 Jun 2009, 11:28:48 EST Fri, 26 Jun 2009, 11:30:50 EST Tue, 21 Jan 2014, 09:14:33 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 589 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Wed, 12 Nov 2008, 13:06:54 EST

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