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A Mathematical Model for Biocontrol of the Invasive Weed Fallopia japonica

Overview of attention for article published in Bulletin of Mathematical Biology, August 2016
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Article details
Title
A Mathematical Model for Biocontrol of the Invasive Weed Fallopia japonica
Published in
Bulletin of Mathematical Biology, August 2016
DOI 10.1007/s11538-016-0195-8
Pubmed ID
Authors
Abstract

We propose a mathematical model for biocontrol of the invasive weed Fallopia japonica using one of its co-evolved natural enemies, the Japanese sap-sucking psyllid Aphalara itadori. This insect sucks the sap from the stems of the plant thereby weakening it. Its diet is highly specific to F. japonica. We consider a single isolated knotweed stand, the plant's size being described by time-dependent variables for total stem and rhizome biomass. It is the larvae of A. itadori that damage the plant most, so the insect population is described in terms of variables for the numbers of larvae and adults, using a stage-structured modelling approach. The dynamics of the model depends mainly on a parameter h, which measures how long it takes for an insect to handle (digest) one unit of F. japonica stem biomass. If h is too large, then the model does not have a positive equilibrium and the plant biomass and insect numbers both grow together without bound, though at a lower rate than if the insects were absent. If h is sufficiently small, then the model possesses a positive equilibrium which appears to be locally stable. The results based on our model imply that satisfactory long-term control of the knotweed F. japonica using the insect A. itadori is only possible if the insect is able to consume and digest knotweed biomass sufficiently quickly; if it cannot, then the insect can only slow down the growth which is still unbounded.

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The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 4 18%
Other 3 14%
Student > Ph. D. Student 3 14%
Researcher 3 14%
Student > Master 2 9%
Other 0 0%
Unknown 7 32%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 5 23%
Environmental Science 3 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Business, Management and Accounting 1 5%
Psychology 1 5%
Other 1 5%
Unknown 9 41%
Attention Score in Context

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 26 September 2017.
All research outputs
#20,353,668
of 22,901,818 outputs
Outputs from Bulletin of Mathematical Biology
#1,003
of 1,103 outputs
Outputs of similar age
#322,276
of 367,370 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#8
of 11 outputs
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So far Altmetric has tracked 1,103 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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