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|Title:||Sensitivity Analysis of CLIMEX Parameters in Modelling Potential Distribution of 'Lantana camara' L.||Contributor(s):||Taylor, Subhashni (author) ; Kumar, Lalit (author)||Publication Date:||2012||Open Access:||Yes||DOI:||10.1371/journal.pone.0040969||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
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