Fine-scale habitat modelling of wildlife species using spatial information tools
Paper
Paper/Presentation Title | Fine-scale habitat modelling of wildlife species using spatial information tools |
---|---|
Presentation Type | Paper |
Authors | Zainol Zanariah, W. N. (Author), Apan, A. (Author), Le Brocque, A. F. (Author) and Maraseni, T. N. (Author) |
Journal or Proceedings Title | Proceedings of the 2nd Malaysian Postgraduate Conference (MPC 2012) |
Number of Pages | 3 |
Year | 2012 |
Place of Publication | Sydney, Australia |
Web Address (URL) of Paper | http://www.msda.org.au/index.php/students-corner/malaysian-postgraduate-conference-2012-proceedings/category/1-proceedings |
Conference/Event | 2nd Malaysian Postgraduate Conference (MPC 2012) |
Event Details | 2nd Malaysian Postgraduate Conference (MPC 2012) Event Date 07 to end of 09 Jul 2012 Event Location Gold Coast, Australia |
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. |
Keywords | Species habitat modelling, multispecies, fine scale, maximum entropy, random forest, neural network, mahalanobis typicality. |
ANZSRC Field of Research 2020 | 410401. Conservation and biodiversity |
410407. Wildlife and habitat management | |
410404. Environmental management | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Australian Centre for Sustainable Catchments |
Faculty of Engineering and Surveying | |
Department of Biological and Physical Sciences | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q1885/fine-scale-habitat-modelling-of-wildlife-species-using-spatial-information-tools
Download files
2171
total views222
total downloads4
views this month4
downloads this month