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Climate Change and the Potential Distribution of an Invasive Shrub, Lantana camara L

Overview of attention for article published in PLOS ONE, April 2012
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Title
Climate Change and the Potential Distribution of an Invasive Shrub, Lantana camara L
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035565
Pubmed ID
Authors

Subhashni Taylor, Lalit Kumar, Nick Reid, Darren J. Kriticos

Abstract

The threat posed by invasive species, in particular weeds, to biodiversity may be exacerbated by climate change. Lantana camara L. (lantana) is a woody shrub that is highly invasive in many countries of the world. It has a profound economic and environmental impact worldwide, including Australia. Knowledge of the likely potential distribution of this invasive species under current and future climate will be useful in planning better strategies to manage the invasion. A process-oriented niche model of L. camara was developed using CLIMEX to estimate its potential distribution under current and future climate scenarios. The model was calibrated using data from several knowledge domains, including phenological observations and geographic distribution records. The potential distribution of lantana under historical climate exceeded the current distribution in some areas of the world, notably Africa and Asia. Under future scenarios, the climatically suitable areas for L. camara globally were projected to contract. However, some areas were identified in North Africa, Europe and Australia that may become climatically suitable under future climates. In South Africa and China, its potential distribution could expand further inland. These results can inform strategic planning by biosecurity agencies, identifying areas to target for eradication or containment. Distribution maps of risk of potential invasion can be useful tools in public awareness campaigns, especially in countries that have been identified as becoming climatically suitable for L. camara under the future climate scenarios.

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The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 2 <1%
India 2 <1%
United States 2 <1%
Brazil 1 <1%
Mexico 1 <1%
Tanzania, United Republic of 1 <1%
Spain 1 <1%
Denmark 1 <1%
Unknown 202 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 21%
Student > Master 36 17%
Student > Ph. D. Student 28 13%
Student > Bachelor 19 9%
Professor > Associate Professor 7 3%
Other 26 12%
Unknown 53 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 38%
Environmental Science 45 21%
Earth and Planetary Sciences 14 7%
Social Sciences 5 2%
Veterinary Science and Veterinary Medicine 2 <1%
Other 10 5%
Unknown 56 26%