Fine-scale habitat modelling of wildlife species using spatial information tools

Zainol Zanariah, W. N. and Apan, A. and Le Brocque, A. F. and Maraseni, T. N. (2012) Fine-scale habitat modelling of wildlife species using spatial information tools. In: 2nd Malaysian Postgraduate Conference (MPC 2012), 7-9 July 2012, Gold Coast, Australia.

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Abstract

Species habitat models (SHM) or species distribution models are numerical tools that combine observations of species occurrence or abundance with environmental estimates. Models that predict distributions of species by combining known occurrence records with digital layers from satellite imagery and Geographic Information System (GIS) inputs together with environmental variables have much potential for conservation applications and scenario modelling. In this research, four analytical techniques for multispecies modelling, i.e. maximum entropy (Maxent), random forest, artificial neural network, and mahalanobis typicality, will be explored to assess the species distribution. A methodological approach will be at the fine (5-10m) spatial scale, where studies at this level are lacking. Spotted-tailquoll, Darling Downs Earless Dragon, Black-Breasted-Button-Quail, and Bulloak Jewel Butterfly, which are endangered and threatened species had been selected as case studies to test this framework.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Authors retain copyright.
Depositing User: Mrs Zanariah Zainol Abdullah
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 05 Oct 2012 02:57
Last Modified: 21 Dec 2012 08:06
Uncontrolled Keywords: Species habitat modelling, multispecies, fine scale, maximum entropy, random forest, neural network, mahalanobis typicality.
Fields of Research (FOR2008): 05 Environmental Sciences > 0502 Environmental Science and Management > 050202 Conservation and Biodiversity
05 Environmental Sciences > 0502 Environmental Science and Management > 050211 Wildlife and Habitat Management
05 Environmental Sciences > 0502 Environmental Science and Management > 050206 Environmental Monitoring
Socio-Economic Objective (SEO2008): D Environment > 96 Environment > 9608 Flora, Fauna and Biodiversity > 960899 Flora, Fauna and Biodiversity of Environments not elsewhere classified
D Environment > 96 Environment > 9606 Environmental and Natural Resource Evaluation > 960699 Environmental and Natural Resource Evaluation not elsewhere classified
D Environment > 96 Environment > 9608 Flora, Fauna and Biodiversity > 960805 Flora, Fauna and Biodiversity at Regional or Larger Scales
URI: http://eprints.usq.edu.au/id/eprint/22055

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