Deakin home > Deakin University Library > Deakin Research Online > Predictive distribution models and their application in wildlife conservation

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.


Title Predictive distribution models and their application in wildlife conservation
Author(s) Gibson, Lesley
Wilson, Barbara
Cahill, David
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
HERDC Research category L3 Extract of paper (minor conferences)
Persistent URL http://hdl.handle.net/10536/DRO/DU:30015698

Document type: Conference Paper
Collection: School of Ecology and Environment
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in Deakin Research Online is owned by the author, with all rights reserved.

Versions
Version Filter Type
Access Statistics: 423 Abstract Views  -  Detailed Statistics
Created: Wed, 12 Nov 2008, 13:06:54 EST