Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/10761
Title: Sensitivity Analysis of CLIMEX Parameters in Modelling Potential Distribution of 'Lantana camara' L.
Contributor(s): Taylor, Subhashni  (author)orcid ; Kumar, Lalit  (author)orcid 
Publication Date: 2012
Open Access: Yes
DOI: 10.1371/journal.pone.0040969Open Access Link
Handle Link: https://hdl.handle.net/1959.11/10761
Abstract: A process-based niche model of 'L. camara' L. (lantana), a highly invasive shrub species, was developed to estimate its potential distribution using CLIMEX. Model development was carried out using its native and invasive distribution and validation was carried out with the extensive Australian distribution. A good fit was observed, with 86.7% of herbarium specimens collected in Australia occurring within the suitable and highly suitable categories. A sensitivity analysis was conducted to identify the model parameters that had the most influence on lantana distribution. The changes in suitability were assessed by mapping the regions where the distribution changed with each parameter alteration. This allowed an assessment of where, within Australia, the modification of each parameter was having the most impact, particularly in terms of the suitable and highly suitable locations. The sensitivity of various parameters was also evaluated by calculating the changes in area within the suitable and highly suitable categories. The limiting low temperature (DV0), limiting high temperature (DV3) and limiting low soil moisture (SM0) showed highest sensitivity to change. The other model parameters were relatively insensitive to change. Highly sensitive parameters require extensive research and data collection to be fitted accurately in species distribution models. The results from this study can inform more cost effective development of species distribution models for lantana. Such models form an integral part of the management of invasive species and the results can be used to streamline data collection requirements for potential distribution modelling.
Publication Type: Journal Article
Source of Publication: PLoS One, 7(7), p. 1-16
Publisher: Public Library of Science (PLoS)
Place of Publication: United States of America
ISSN: 1932-6203
Field of Research (FOR): 090905 Photogrammetry and Remote Sensing
Socio-Economic Outcome Codes: 960414 Control of Plant Pests, Diseases and Exotic Species in Forest and Woodlands Environments
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Statistics to Oct 2018: Visitors: 82
Views: 82
Downloads: 0
Appears in Collections:Journal Article

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

SCOPUSTM   
Citations

21
checked on Nov 26, 2018

Page view(s)

90
checked on Feb 18, 2019
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.