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Applied Mathematics and Nonlinear Sciences
Volume 4 (2019): Issue 1 (January 2019)
Open Access
Can aphids be controlled by fungus? A mathematical model
Nicholas F. Britton
Nicholas F. Britton
,
Iulia Martina Bulai
Iulia Martina Bulai
,
Stéphanie Saussure
Stéphanie Saussure
,
Niels Holst
Niels Holst
and
Ezio Venturino
Ezio Venturino
| Jun 21, 2019
Applied Mathematics and Nonlinear Sciences
Volume 4 (2019): Issue 1 (January 2019)
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Published Online:
Jun 21, 2019
Page range:
79 - 92
Received:
Mar 05, 2019
Accepted:
Apr 26, 2019
DOI:
https://doi.org/10.2478/AMNS.2019.1.00009
Keywords
three-way interactions
,
pest control
,
mathematical model
,
pathogenic fungi
,
aphids
,
crops
© 2019 Nicholas F. Britton, Iulia Martina Bulai, Stéphanie Saussure, Niels Holst, Ezio Venturino, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Fig. 1
Compartment diagram of the three-way (plant)-aphid-entomopathogen interactions.
Fig. 2
A two-dimensional cross section of the positively invariant set.
Fig. 3
A typical plot of the function Q(N) given in (8).
Fig. 4
Sketch of the transcritical bifurcations undergone by the system’s equilibria.
Fig. 5
One parameter bifurcation analysis of the populations N, E and F of the system (1) in terms of the parameter c, respectively. The continuous red curves represent the stable equilibrium points and the black one the unstable ones. The dotted green curve represent the maximum and minimum values of the oscillations triggered by the Hopf bifurcation. The other parameters values are β = 10, q = 1, γ = 5, b = 0.002, a = 2 and p = 1.2. The initial conditions are N = 1, E = 1 and F = 1.
Fig. 6
Zoomed portion of the Figure 5.
Fig. 7
Two parameter bifurcation analysis of the system (1) of the remaining six parameters as function of the bifurcation parameter c. Respectively, top to bottom and left to right, the former are b, β, s, γ, p, and q. The continuous blue line is the Hopf bifurcation curve. The dashed blue line represents the transcritical bifurcation from the coexistence equilibrium to disease-free steady state.