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Articles

IPM strategies to a discrete switching predator-prey model induced by a mate-finding Allee effect

ORCID Icon, , &
Pages 586-605 | Received 26 Mar 2018, Accepted 24 Aug 2019, Published online: 05 Nov 2019

Figures & data

Figure 1. EIL: the lowest population density that will cause economic damage. ET: population density at which control measures should be invoked to prevent an increasing pest population from reaching EIL.

Figure 1. EIL: the lowest population density that will cause economic damage. ET: population density at which control measures should be invoked to prevent an increasing pest population from reaching EIL.

Figure 2. The two real branches W(0,z) and W(1,z) of Lambert W function.

Figure 2. The two real branches W(0,z) and W(−1,z) of Lambert W function.

Figure 3. Bifurcation diagram for the existence of regular equilibria of system (Equation5) with respect to r and ET, parameters are a=1.5,θ=7.5,q=0.25.

Figure 3. Bifurcation diagram for the existence of regular equilibria of system (Equation5(5) Z˙(t)={FS1(Z),Z∈S1,FS2(Z),Z∈S2,(5) ) with respect to r and ET, parameters are a=1.5,θ=7.5,q=0.25.

Figure 4. Bifurcation diagram for system (Equation5) with respect to r. All other parameters as follows: a=2,θ=4,q=0.05,ET=0.45 and (H0,P0)=(0.5,0.4).

Figure 4. Bifurcation diagram for system (Equation5(5) Z˙(t)={FS1(Z),Z∈S1,FS2(Z),Z∈S2,(5) ) with respect to r. All other parameters as follows: a=2,θ=4,q=0.05,ET=0.45 and (H0,P0)=(0.5,0.4).

Figure 5. Phase-plan of system (Equation5) with different r. [A] r = 2.18; [B] r = 2.213; [C] r = 2.4; [D] r = 2.65. The other parameters are identical to those in Figure .

Figure 5. Phase-plan of system (Equation5(5) Z˙(t)={FS1(Z),Z∈S1,FS2(Z),Z∈S2,(5) ) with different r. [A] r = 2.18; [B] r = 2.213; [C] r = 2.4; [D] r = 2.65. The other parameters are identical to those in Figure 4.

Figure 6. Bifurcation diagram for system (Equation5) with respect to q. All other parameters as follows: a=1.68,ET=0.72,r=2.58,(H0,P0)=(0.1,0.1), and [A] θ=9.5; [B] θ=5; [C] θ=1.

Figure 6. Bifurcation diagram for system (Equation5(5) Z˙(t)={FS1(Z),Z∈S1,FS2(Z),Z∈S2,(5) ) with respect to q. All other parameters as follows: a=1.68,ET=0.72,r=2.58,(H0,P0)=(0.1,0.1), and [A] θ=9.5; [B] θ=5; [C] θ=1.

Figure 7. Bifurcation diagram for system (Equation5) with respect to θ. All other parameters as follows: a=2,q=0.8,ET=0.8,r=2.29,(H0,P0)=(0.3,0.2), and [A] r = 2.13; [B] r = 2.

Figure 7. Bifurcation diagram for system (Equation5(5) Z˙(t)={FS1(Z),Z∈S1,FS2(Z),Z∈S2,(5) ) with respect to θ. All other parameters as follows: a=2,q=0.8,ET=0.8,r=2.29,(H0,P0)=(0.3,0.2), and [A] r = 2.13; [B] r = 2.

Figure 8. Switching effect of system (Equation5) under different initial densities. Parameters are a=2,r=1.9,θ=2,q=0.1,ET=0.65.

Figure 8. Switching effect of system (Equation5(5) Z˙(t)={FS1(Z),Z∈S1,FS2(Z),Z∈S2,(5) ) under different initial densities. Parameters are a=2,r=1.9,θ=2,q=0.1,ET=0.65.

Figure 9. Pest outbreak frequency depends on initial density (H0,P0) of system (Equation5). The parameters are fixed as a=1.4,θ=6,q=0.05,ET=0.65,r=2.2.

Figure 9. Pest outbreak frequency depends on initial density (H0,P0) of system (Equation5(5) Z˙(t)={FS1(Z),Z∈S1,FS2(Z),Z∈S2,(5) ). The parameters are fixed as a=1.4,θ=6,q=0.05,ET=0.65,r=2.2.

Figure 10. The coexisting attractors of system (Equation5) with different initial values. Parameters are a=2,θ=4,q=0.05,ET=0.45,r=2.3, and [A] (H0,P0)=(0.6,0.4); [B] (H0,P0)=(0.1,0.1).

Figure 10. The coexisting attractors of system (Equation5(5) Z˙(t)={FS1(Z),Z∈S1,FS2(Z),Z∈S2,(5) ) with different initial values. Parameters are a=2,θ=4,q=0.05,ET=0.45,r=2.3, and [A] (H0,P0)=(0.6,0.4); [B] (H0,P0)=(0.1,0.1).

Figure 11. Basin of attraction of two attractors shown in Fig.  with H[0.3,0.67] and P[0.2,0.8]. The white and black points are attracted to the attractors shown in Figure  from left to right.

Figure 11. Basin of attraction of two attractors shown in Fig. 10 with H∈[0.3,0.67] and P∈[0.2,0.8]. The white and black points are attracted to the attractors shown in Figure 10 from left to right.

Figure 12. Attractors' switch-like behavior of system (Equation5) with rt=r+σu has random perturbation as each 90 generations. Parameters are: a=2,θ=2,q=0.3,ET=0.5,r=2.5,σ=1 and (H0,P0)=(0.5,0.1).

Figure 12. Attractors' switch-like behavior of system (Equation5(5) Z˙(t)={FS1(Z),Z∈S1,FS2(Z),Z∈S2,(5) ) with rt=r+σu has random perturbation as each 90 generations. Parameters are: a=2,θ=2,q=0.3,ET=0.5,r=2.5,σ=1 and (H0,P0)=(0.5,0.1).

Figure 13. Attractors' switch-like behavior of system (Equation5) with qt=q+ηu which random perturbation every 90 generations. Parameters are: a=0.8,θ=5,q=0.5,ET=0.4,r=1,η=0.3 and (H0,P0)=(0.5,0.4).

Figure 13. Attractors' switch-like behavior of system (Equation5(5) Z˙(t)={FS1(Z),Z∈S1,FS2(Z),Z∈S2,(5) ) with qt=q+ηu which random perturbation every 90 generations. Parameters are: a=0.8,θ=5,q=0.5,ET=0.4,r=1,η=0.3 and (H0,P0)=(0.5,0.4).

Figure 14. Switching frequency (S-F) and switching time (S-T) of system (Equation5). Parameters are a=2,θ=2,q=0.01,ET=0.35,r=2.1. The initial densities from top to bottom are (0.3,0.4),(0.2,0.6) and (0.7,0.6).

Figure 14. Switching frequency (S-F) and switching time (S-T) of system (Equation5(5) Z˙(t)={FS1(Z),Z∈S1,FS2(Z),Z∈S2,(5) ). Parameters are a=2,θ=2,q=0.01,ET=0.35,r=2.1. The initial densities from top to bottom are (0.3,0.4),(0.2,0.6) and (0.7,0.6).