| Title |
A Model for the Spread of an Invasive Weed, Tradescantia fluminensis
|
|---|---|
| Published in |
Bulletin of Mathematical Biology, April 2017
|
| DOI | 10.1007/s11538-017-0280-7 |
| Pubmed ID | |
| Authors |
Alexandra B. Hogan, Mary R. Myerscough |
| Abstract |
Tradescantia fluminensis is an invasive weed and a serious threat to native forests in eastern Australia and New Zealand. Current methods of eradication are often ineffective, so understanding the growth mechanisms of Tradescantia is important in formulating better control strategies. We present a partial differential equation (PDE) model for Tradescantia growth and spatial proliferation that accounts for Tradescantia's particular creeping and branching morphology, and the impact of self-shading on plant growth. This is the first PDE model to represent a weed that spreads via a creeping growth habit rather than by seed dispersal. We use a travelling wave analysis to investigate how Tradescantia extends to colonise new territory. Numerical simulations and analysis show that the model provides a good qualitative representation of the behaviour of this plant. This model provides a foundation for assessing different control and eradication strategies for Tradescantia. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 27% |
| Student > Ph. D. Student | 2 | 18% |
| Professor | 1 | 9% |
| Student > Postgraduate | 1 | 9% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 3 | 27% |
| Environmental Science | 2 | 18% |
| Agricultural and Biological Sciences | 1 | 9% |
| Computer Science | 1 | 9% |
| Psychology | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 3 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 April 2017.
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#20,413,129
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Outputs from Bulletin of Mathematical Biology
#1,002
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#270,116
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Outputs of similar age from Bulletin of Mathematical Biology
#26
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