Abstract
In this paper, we consider a mathematical model of two herbivore groups and two available resources, described by a control system. The controls model how the herbivores feed on the two types of resources. The choice of these controls is based on the standard assumption of optimal feeding theory that requires each predator to maximize the net rate of energy intake during feeding. Qualitative analysis of the model highlights four resource thresholds, called resource switching densities. At these thresholds, herbivores can have pure dynamics, meaning that they consume only one type of resource, or adaptive dynamics, meaning that they consume both types of resources. Various equilibria, including the coexistence equilibrium and boundaries equilibria, are computed and their stability analysis are rigorously studied. A detailed description of the switching zones is made using Filippov’s solutions. Notably, we find that within the framework of adaptative dynamics, the system components may experience a long term sustainable coexistence where in the pure dynamics case, at least one component may go to extinction. Also, thanks to the adaptative dynamics, periodic behaviors in the system are observed. Finally, we provide some numerical simulations in order to illustrate our qualitative results.
Similar content being viewed by others
References
Aubin, J.P., Cellina, A.: Differential Inclusions. Springer Verlag, Berlin (1984)
Berec, L., Eisner, J., Krivan, V.: Adaptive foraging does not always lead to more complex food webs. J. Theor. Biol. 266 (2), 211–218 (2010)
Birkoff, G., Rota, G.C.: Ordinary Differential Equations. Ginn, Boston (1982)
Cheverton, J., Kacelnik, A., Krebs, J.R.: Optimal foraging : constraints and currencies. In: Holldobler, B., Lindauer, M. (eds.) Experimental Behavioral Ecology and Sociobiology. Fortschritte der Zoologie (1985)
Agreil C., Greff N., Polis P., Magda D., Meuret M., Mestelan P.: Des troupeaux et des hommes en espacesnaturels : une approche dynamique de la gestion pastorale. Guide technique du Conservatoire Rhône-Alpes des Espaces Naturels, 92p (2008)
Dieci, L., Elia, B., Lopez, B.: A filippov sliding vector field on an attracting co-dimension 2 discontinuity surface, and a limited loss-of-attractivity analysis. J. Different. Equ. 254(4), 1800–1832 (2013)
Dieci, L., Lopez, L.: Sliding motion in filippov differential systems: Theorical results and computational approch. SIAM J. Num. Anal. 47, 2023–2051 (2009)
Emlen, J.M.: The role of time and energy in food preference. Amer. Naturalist 100, 611–617 (1966)
Emlen, J.M.: Optimal choice in animals. Amer. Naturalist 102, 385–389 (1968)
Feng, Z., DeAngelis, D.: Mathematical Models of Plant-Herbivore Interactions. Chapman and Hall/CRC (2017)
Filippov, A.: Differential equations with discontinuous righthand sides. Kluwer Academic Publishers (1988)
Gouzé, J., Sari, T.: A class of piecewise linear differential equations arising in biological models. Dyn. Syst. 17, 299–316 (2003)
Heitschmidt, R. K., Stuth, J. W.: Grazing management: An ecological perspective. Timber Press, Portland, Oregon, (1991)
Krebs, J.R.: Optimal foraging theory :decision rules for predators. In: Davies, T. (ed.) Behavioural ecology: an evolutionary approach. Blackwell Scientific Publications, Oxford (1978)
Krebs, J.R.: Foraging strategies and their social significance. In: Marler, P., Vandenbergh, J.G. (eds) Social behavior and communication. Springer, Boston, MA (1979)
Krebs, J.R., Decision-making, Kacelnik A.: Davies (eds) Behavioural Ecology : An Evolutionary Approach, 3\(^\circ\)édition. Oxford, Blackwell Scientific Publications, (1991)
Krivan, V.: Optimal foraging and predator-prey dynamics. Theoret. Populat. Biol. 49, 265–290 (1996)
Krivan, V.: Dynamic ideal free distribution: effects of optimal of patch choice on predator-prey dynamics. Am. Nat. 149(1), 164–178, (1997)
Krivan, V.: Evolutionary stability of optimal foraging: Partial preferences in the diet and patch models. J. Theoret. Biol. 267(4), 486–494 (2010)
Krivan, V., Oswald, J.S.: Adaptive foraging and flexible food web topology. Evolut. Ecol. Res. 5, 623–652 (2003)
Krivan, V., Sikder, A.: Optimal foraging and predator-prey dynamics, ii. Theoret. Populat. Biol. 55, 111–126 (1999)
MacArthur, R.H., Pianka, E.R.: On optimal use of a patchy environment. Am. Nat. 100, 603–609 (1966)
Mangel, M., Clark, C.: Dynamic modeling in behavioral ecology, vol. 63. Princeton University Press, Princeton, NJ (1988)
Mendy, A., Tewa, J.J., Lam, M., Tchinda, M.P.: Hopf bifurcation in a grazing system with two delays. Mathemat. Comp. Simulat. 163, 90–129 (2019)
Noy-Meir, I.: Stability of grazing systems: an application of predator-prey graphs. J. Ecol. 1, 459–481 (1975)
Pyke, G.H.: Optimal foraging theory : a critical review. An. Rev. Ecot. Syst. 15, 523–575 (1984)
Pyke, G.H., Pulliam, H.R., Charnov, E.L.: Optimal foraging: a selective review of theory and test. Quarterly review of biology, 52, (1977)
Qamar, J.A.K., Edamana, V.K., Easwaran, B.: Two-predator and two-prey species group defense model with switching effect. Int. J. Computat. Biosci. 1, 69–78 (2010)
Schoener, T.W.: A brief history of optimal foraging ecology. In: Pulliam, E. (ed.) Foraging Behavior. Plenum Press, New York (1987)
Stephens, D.W., Krebs, J.R.: Foraging theory. Princeton, Princeton University Press (1986)
Stewart, D.E.: A high accuracy method for solving odes with discontinuous right-hand-side. Numer. Math. 58, 299–328 (1990)
Tewa, J.J., Bah, A., Noutchie, S.C.O.: Dynamical models of interactions between herds forage and water resources in sahelian region. Hindawi Publish. Corporat. Abstract Appl. Anal. 13, 2014 (2014)
Utkin, V.I.: Liding odes and their application in variable structure systems. MIR Publisher, Moskow (1978)
Utkin, V.I.: Sliding mode in control and optimization. Springer, Berlin (1992)
Acknowledgements
Authors thank anonymous reviewers for useful suggestions on a previous draft of this paper that greatly improve its readability.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors have no relevant financial or non-financial interests to disclose.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendices
Appendix A. Proof of Lemma 3
-
(1)
Since the vector field defined by the right hand side of system (1) is tangential on the boundary of \({\mathbb {R}}^4_+\), therefore for any initial condition in \({\mathbb {R}}^4_+\) the solution of system (1) remains in \({\mathbb {R}}^4_+\).
-
(2)
Let us now prove that the set \(\Omega\) is a positively invariant region and absorbing set for the system (1). From the first equation we have:
$$\begin{aligned} R_1(t)\le \displaystyle \frac{K_1 R_1(0)}{R_1(0)+e^{-r_1t}(K_1-R_1(0))}. \end{aligned}$$Since \(r_1> 0\), one has \(\limsup \limits _{t \rightarrow \infty } R_1(t)\le K_1\). Similarly, one may deduce that \(\limsup \limits _{t \rightarrow \infty } R_2(t)\le K_2\). Let us set
$$\begin{aligned} \omega (t)=R_1(t)+R_2(t)+\left( \displaystyle \frac{1}{e_1}+\displaystyle \frac{1}{e_2}\right) H_1(t)+\left( \displaystyle \frac{1}{e_1'}+\displaystyle \frac{1}{e_2'}\right) H_2(t) \end{aligned}$$and \(\eta >0\) be a constant, with \(\eta <\min (\mu _1,\mu _2)\). Then
$$\begin{aligned} {\dot{\omega }}+\eta \omega= & {} {\dot{R}}_1+{\dot{R}}_2+\left( \frac{1}{e_1}+\frac{1}{e_2}\right) {\dot{H}}_1+\left( \frac{1}{e_1'}+\frac{1}{e_2'}\right) {\dot{H}}_2\\+ & {} \eta \Big (R_1+R_2+\left( \frac{1}{e_1}+\frac{1}{e_2}\right) H_1+\left( \frac{1}{e_1'}+\frac{1}{e_2'}\right) H_2\Big )\\= & {} (r_1+\eta )R_1-\displaystyle \frac{r_1R_1^2}{K_1}+(r_2+\eta )R_2-\displaystyle \frac{r_2R_2^2}{K_2}-(\mu _1-\eta )H_1-(\mu _2-\eta )H_2 \end{aligned}$$Since \(\eta <\min (\mu _1,\mu _2)\), we have
$$\begin{aligned} {\dot{\omega }}+\eta \omega\le & {} (r_1+\eta )R_1-\displaystyle \frac{r_1R_1^2}{K_1}+(r_2+\eta )R_2-\displaystyle \frac{r_2R_2^2}{K_2}\\= & {} \frac{K_1}{4r_1}(r_1+\eta )^2-\frac{r_1}{K_1}\Big (R_1-\frac{K_1}{2r_1}(r_1+\eta )\Big )^2\\+ & {} \frac{K_2}{4r_2}(r_2+\eta )^2-\frac{r_2}{K_2}\Big (R_2-\frac{K_2}{2r_2}(r_2+\eta )\Big )^2\\\le & {} \frac{K_1}{4r_1}(r_1+\eta )^2+\frac{K_2}{4r_2}(r_2+\eta )^2=\nu . \end{aligned}$$Applying the theory of differential inequality (Birkoff and Rota [3]), we obtain
$$\begin{aligned} 0<\omega \Big (R_1(t),R_2(t),H_1(t),H_2(t)\Big )\le \frac{\nu }{\eta }\Big (1-e^{-\eta t}\Big )+\Big (R_1(0),R_2(0),H_1(0),H_2(0)\Big )e^{-\eta t}. \end{aligned}$$Consequently, part 2 of Lemma 3 holds. This completes the proof.
Appendix B. Proof of Theorem 2
-
(a)
Stability of \(E_{01}^*=(R_{11}^*,0,0,H_{21}^*)\). The characteristic polynomial of the Jacobian matrix of system (1) at equilibrium \(E_{01}^*\) is given by
$$\begin{aligned} P(\lambda )=(a_{22}-\lambda )(a_{33}-\lambda )(\lambda ^2-a_{11}\lambda -a_{14}a_{41}) \end{aligned}$$(19)where, \(a_{33}=\displaystyle \frac{e_1p_1\ell _1R_{11}^*}{1+p_1h_1\ell _1R_{11}^*}-\mu _1\), \(a_{22}=r_2-\displaystyle \frac{q_1\ell _1'H_{21}^*}{1+q_1h_1'\ell _1'R_{11}^*}\), \(a_{11}=r_1(1-\frac{R_{11}^*}{K_1})-\displaystyle \frac{q_1\ell _1'H_{21}^*}{(1+q_1h_1'\ell _1'R_{11}^*)^2}\), \(a_{14}=-\displaystyle \frac{q_1\ell _1'R_{11}^*}{1+q_1h_1'\ell _1'R_{11}^*}\) and \(a_{41}=\displaystyle \frac{e_1'q_1\ell _1'H_{21}^*}{(1+q_1h_1'\ell _1'R_{11}^*)^2}\). Since \(-a_{14}a_{41}>0\), then \(E_{01}^*\) is locally asymptotically stable if \(a_{33}<0\), \(a_{22}<0\) and \(a_{11}<0\) i.e., \({\mathcal {A}}_{01}<1\), \({\mathcal {A}}_{02}<1\) and \({\mathcal {A}}_{03}<1\), where \({\mathcal {A}}_{01}=\displaystyle \frac{e_1p_1\ell _1R_{11}^*}{\mu _1(1+h_1p_1\ell _1R_{11}^*)}\), \({\mathcal {A}}_{02}=\displaystyle \frac{r_2(1+h_1'q_1\ell _1'R_{11}^*)}{q_1\ell _1'H_{21}^*}\) and \({\mathcal {A}}_{03}=\displaystyle \frac{r_1\left( 1-\frac{R_{11}^*}{K_1}\right) (1+h_1'q_1\ell _1'R_{11}^*)^2}{q_1\ell _1'H_{21}^*}\).
-
(b)
Stability of \(E_{02}^*=(R_{12}^*,0,H_{12}^*,0)\). The characteristic polynomial of Jacobian matrix of system (1) at equilibrium \(E_{02}^*\) is given by
$$\begin{aligned} P(\lambda )=(b_{22}-\lambda )(b_{44}-\lambda )(\lambda ^2-b_{11}\lambda -b_{13}b_{31}) \end{aligned}$$(20)where, \(b_{44}=\displaystyle \frac{e_1'q_1\ell _1'R_{12}^*}{1+q_1h_1'\ell _1'R_{12}^*}-\mu _2\), \(b_{22}=r_2-\displaystyle \frac{p_2\ell _2H_{12}^*}{1+p_1h_1\ell _1R_{12}^*}\), \(b_{11}=-\displaystyle \frac{ r_1R_{12}^*}{K_1}+\displaystyle \frac{p_1\ell _1^2H_{12}^*}{1+p_1h_1\ell _1R_{12}^*}\), \(b_{13}=-\displaystyle \frac{p_1\ell _1R_{12}^*}{1+p_1h_1\ell _1R_{12}^*}\) and \(b_{31}=\displaystyle \frac{e_1p_1\ell _1H_{12}^*}{(1+p_1h_1\ell _1R_{12}^*)^2}\). Since \(-b_{13}b_{31}>0\), then \(E_{02}^*\) is locally asymptotically stable if \(b_{44}<0\), \(b_{22}<0\) and \(b_{11}<0\) i.e \({\mathcal {A}}_{04}<1\), \({\mathcal {A}}_{05}<1\) and \({\mathcal {A}}_{06}<1\), where \({\mathcal {A}}_{04}=\displaystyle \frac{e_1'q_1\ell _1'R_{12}^*}{\mu _2(1+h_1'q_1\ell _1'R_{12}^*)}\), \({\mathcal {A}}_{05}=\displaystyle \frac{r_2(1+h_1p_1\ell _1R_{12}^*)}{p_2\ell _2H_{12}^*}\) and \({\mathcal {A}}_{06}=\displaystyle \frac{K_1p_1^2\ell _1^2H_{12}^*}{r_1R_{12}^*(1+h_1p_1\ell _1R_{12}^*)}\).
-
(c)
Stability of \(E_{03}^*=(0,R_{23}^*,0,H_{23}^*)\). The characteristic polynomial of Jacobian matrix of system (1) at equilibrium \(E_{03}^*\) is given by
$$\begin{aligned} P(\lambda )=(c_{11}-\lambda )(c_{33}-\lambda )(\lambda ^2-c_{22}\lambda -c_{24}a_{42}) \end{aligned}$$(21)where, \(c_{33}=\displaystyle \frac{e_2p_2\ell _2R_{23}^*}{1+h_2p_2\ell _2R_{23}^*}-\mu _1\), \(c_{11}=r_1-\displaystyle \frac{q_2\ell _2'H_{23}^*}{1+h_2'q_2\ell _2'R_{23}^*}\), \(c_{22}=r_2(1-\frac{R_{23}^*}{K_2})-\displaystyle \frac{q_2\ell _2'H_{23}^*}{(1+h_2'q_2\ell _2'R_{23}^*)^2}\), \(c_{24}=-\displaystyle \frac{q_2\ell _2'R_{23}^*}{1+q_2h_2'\ell _2'R_{23}^*}\) and \(c_{42}=\displaystyle \frac{e_2'q_2\ell _2'H_{23}^*}{(1+h_2'q_2\ell _2'R_{23}^*)^2}\). Since \(-c_{24}c_{42}>0\), then \(E_{03}^*\) is locally asymptotically stable if \(c_{33}<0\), \(c_{22}<0\) and \(c_{11}<0\) i.e \({\mathcal {A}}_{07}<1\), \({\mathcal {A}}_{08}<1\) and \({\mathcal {A}}_{09}<1\), where \({\mathcal {A}}_{07}=\displaystyle \frac{e_2p_2\ell _2R_{23}^*}{\mu _1(1+h_2p_2\ell _2R_{23}^*)}\), \({\mathcal {A}}_{08}=\displaystyle \frac{r_1(1+h_2'q_2\ell _2'R_{23}^*)}{q_2\ell _2'H_{23}^*}\) and \({\mathcal {A}}_{09}=\displaystyle \frac{r_2(1-\frac{R_{23}^*}{K_2})(1+h_2'q_2\ell _2'R_{23}^*)^2}{q_2\ell _2'H_{23}^*}\).
-
(d)
Stability of \(E_{04}^*=(0,R_{24}^*,H_{14}^*,0)\). The characteristic polynomial of Jacobian matrix of system (1) at equilibrium \(E_{04}^*\) is given by
$$\begin{aligned} P(\lambda )=(d_{11}-\lambda )(d_{44}-\lambda )(\lambda ^2-d_{22}\lambda -d_{23}d_{32}) \end{aligned}$$(22)where, \(d_{44}=\displaystyle \frac{e_2'q_2\ell _2'R_{24}^*}{1+h_2'q_2\ell _2'R_{24}^*}-\mu _2\), \(d_{11}=r_1-\displaystyle \frac{p_1\ell _1H_{14}^*}{1+h_2p_2\ell _2R_{24}^*}\), \(d_{22}=-\displaystyle \frac{ r_2R_{24}^*}{K_2}+\displaystyle \frac{p_2^2\ell _2^2h_2H_{14}^*}{1+h_2p_2\ell _2R_{24}^*}\), \(d_{23}=-\displaystyle \frac{p_2\ell _2R_{24}^*}{1+h_2p_2\ell _2R_{24}^*}\) and \(d_{32}=\displaystyle \frac{e_2p_2\ell _2H_{14}^*}{(1+h_2p_2\ell _2R_{24}^*)^2}\). Since \(-d_{23}d_{32}>0\), then \(E_{04}^*\) is locally asymptotically stable if \(d_{44}<0\), \(d_{22}<0\) and \(d_{11}<0\) i.e \({\mathcal {A}}_{10}<1\), \({\mathcal {A}}_{20}<1\) and \({\mathcal {A}}_{30}<1\), where \({\mathcal {A}}_{10}=\displaystyle \frac{e_2'q_2\ell _2'R_{24}^*}{\mu _2(1+h_2'q_2\ell _2'R_{24}^*)}\), \({\mathcal {A}}_{20}=\displaystyle \frac{r_1(1+h_2p_2\ell _2R_{24}^*)}{p_1\ell _1H_{14}^*}\) and \({\mathcal {A}}_{30}=\displaystyle \frac{K_2p_2^2\ell _2^2h_2H_{14}^*}{ r_2R_{24}^*(1+h_2p_2\ell _2R_{24}^*)}\).
-
(e)
The Jacobian of system (1) at equilibrium \(E_{05}^*=(0,R_{25}^*,H_{15}^*,H_{25}^*)\) admits zero as a double eigenvalue while the others are \(e_{11}\) and \(e_{22}\). Hence, \(E_{05}^*\) is unstable when \(e_{11}>0\) or \(e_{22}>0\).
-
(f)
The Jacobian of system (1) at equilibrium \(E_{06}^*\) admits zero as a double eigenvalue while the others are \(f_{11}\) and \(f_{22}\). Hence, \(E_{06}^*\) is unstable when \(f_{11}>0\) or \(f_{22}>0\).
-
(g)
Stability of \(E_{07}^*=(R_{17}^*,R_{27}^*,0,H_{27}^*)\). The Jacobian matrix of system (1) at equilibrium \(E_{07}^*\) is given by:
$$\begin{aligned} J(E_{07}^*)=\left( \begin{array}{cccc} g_{11} &{} g_{12} &{} g_{13} &{} g_{14} \\ g_{21} &{} g_{22} &{} g_{23} &{} g_{24} \\ 0 &{} 0 &{} g_{33} &{} 0 \\ g_{41} &{} g_{42} &{} 0 &{} 0 \end{array}\right) , \end{aligned}$$where \(g_{11}=r_1(1-\frac{2R_{17}^*}{K_1})-\displaystyle \frac{q_1\ell _1'H_{27}^*(1+q_2h_2'\ell _2'R_{27}^*)}{(1+q_1h_1'\ell _1'R_{17}^*+q_2h_2'\ell _2'R_{27}^*)^2}\); \(g_{12}=\displaystyle \frac{q_1\ell _1'q_2h_2'\ell _2'R_{17}^*H_{27}^*}{(1+q_1\ell _1'h_1'R_{17}^*+q_2\ell _2'h_2'R_{27}^*)^2}\); \(g_{13}=-\frac{p_1\ell _1R_{17}^*}{1+p_1\ell _1h_1R_{17}^*+p_2\ell _2h_2R_{27}^*}\); \(g_{14}=-\frac{q_1\ell _1'R_{17}^*}{1+q_1\ell _1'h_1'R_{17}^*+q_2\ell _2'h_2'R_{27}^*}\); \(g_{21}=\frac{q_1\ell _1'h_1'q_2\ell _2'R_{27}^*H_{27}^*}{(1+q_1\ell _1'h_1'R_{17}^*+q_2\ell _2'h_2'R_{27}^*)^2}\); \(g_{22}=r_2(1-\frac{2R_{25}^*}{K_2})-\displaystyle \frac{q_2\ell _2'H_{27}^*(1+q_1h_1'\ell _1'R_{17}^*)}{(1+q_1h_1'\ell _1'R_{17}^*+q_2h_2'\ell _2'R_{27}^*)^2}\); \(g_{23}=-\displaystyle \frac{q_2\ell _2'R_{27}^*}{1+q_1\ell _1'h_1'R_{17}^*+q_2\ell _2'h_2'R_{27}^*}\); \(g_{24}=-\displaystyle \frac{q_2\ell _2'R_{17}^*}{1+q_1\ell _1'h_1'R_{17}^*+q_2\ell _2'h_2'R_{27}^*}\); \(g_{41}=\displaystyle \frac{q_1\ell _1'H_{27}^*\Big (e_1'+q_2\ell _2'R_{27}^*(e_1'q_2h_2'-e_2'q_1h_1')\Big )}{(1+q_1\ell _1'h_1'R_{17}^*+q_2\ell _2'h_2'R_{27}^*)^2}\); \(g_{42}=\displaystyle \frac{q_2\ell _2'H_{27}^*\Big (e_2'+q_1\ell _1'R_{17}^*(e_2'q_1h_1'-e_1'q_2h_2')\Big )}{(1+q_1\ell _1'h_1'R_{17}^*+q_2\ell _2'h_2'R_{27}^*)^2}\); \(g_{33}=\displaystyle \frac{e_1p_1\ell _1R_{15}^*+e_2p_2\ell _2R_{27}^*}{1+p_1h_1\ell _1R_{17}^*+p_2h_2\ell _2R_{27}^*}-\mu _1\). The characteristic polynomial of Jacobian matrix of system (1) at equilibrium \(E_{07}^*\) is given by
$$\begin{aligned} P(\lambda )=(g_{33}-\lambda )(\lambda ^3+G_2\lambda ^2+G_1\lambda +G_0) \end{aligned}$$(23)where, \(G_2=-(g_{11}+g_{22})\), \(G_1=g_{11}g_{22}-g_{12}g_{21}-g_{42}g_{23}-g_{14}g_{41}\) and \(G_0=g_{11}g_{42}g_{23}+g_{22}g_{14}g_{41}-g_{12}g_{41}g_{24}-g_{14}g_{21}g_{42}\). Equilibrium \(E_{07}^*\) is locally asymptotically stable if \(g_{33}<0\) and Routh-Hurwitz conditions
$$\begin{aligned} G_2>0;\;\; G_0>0 \;\;and\;\; G_2G_1>G_0 \end{aligned}$$are satisfied.
-
(h)
Stability of \(E_{08}^*=(R_{18}^*,R_{28}^*,H_{18}^*,0)\). The Jacobian of model system (1) at equilibrium \(E_{08}^*\) is given by:
$$\begin{aligned} J(E_{08}^*)=\left( \begin{array}{cccc} p_{11} &{} p_{12} &{} p_{13} &{} p_{14} \\ p_{21} &{} p_{22} &{} p_{23} &{} p_{24} \\ p_{31} &{} p_{32} &{} 0 &{} 0 \\ 0 &{} 0 &{} 0 &{} p_{44} \end{array}\right) , \end{aligned}$$where, \(p_{11}=r_1(1-\frac{2R_{16}^*}{K_1})-\displaystyle \frac{p_1\ell _1H_{18}^*(1+p_2h_2\ell _2R_{28}^*)}{(1+p_1h_1\ell _1R_{18}^*+p_2h_2\ell _2R_{28}^*)^2}\); \(p_{12}=\displaystyle \frac{p_1\ell _1h_2p_2\ell _2R_{18}^*H_{18}^*}{(1+p_1\ell _1h_1R_{18}^*+p_2\ell _2h_2R_{28}^*)^2}\); \(p_{13}=-\frac{p_1\ell _1R_{16}^*}{1+p_1\ell _1h_1R_{16}^*+p_2\ell _2h_2R_{26}^*}\); \(p_{14}=-\frac{p_1\ell _1R_{18}^*}{1+p_1\ell _1h_1R_{18}^*+p_2\ell _2h_2R_{28}^*}\); \(p_{21}=\frac{p_1\ell _1h_1p_2\ell _2R_{28}^*H_{18}^*}{(1+p_1\ell _1h_1R_{16}^*+p_2\ell _2h_2R_{28}^*)^2}\); \(p_{22}=r_2(1-\frac{2R_{28}^*}{K_2})-\displaystyle \frac{p_2\ell _2H_{18}^*(1+p_1h_1\ell _1R_{18}^*)}{(1+p_1h_1\ell _1R_{18}^*+p_2h_2\ell _2R_{28}^*)^2}\); \(p_{23}=-\displaystyle \frac{p_2\ell _2R_{28}^*}{1+p_1\ell _1h_1R_{28}^*+p_2\ell _2h_2R_{28}^*}\); \(p_{24}=-\displaystyle \frac{q_2\ell _2'R_{18}^*}{1+q_1\ell _1'h_1'R_{18}^*+q_2\ell _2'h_2'R_{28}^*}\); \(p_{44}=\displaystyle \frac{e_1'q_1\ell _1'R_{18}^*+e_2'q_2\ell _2'R_{28}^*}{1+q_1h_1'\ell _1'R_{18}^*+q_2h_2'\ell _2'R_{28}^*}-\mu _1\); \(p_{31}=\displaystyle \frac{p_1\ell _1H_{18}^*\Big (e_1+p_2\ell _2R_{28}^*(e_1p_2h_2-e_2p_1h_1)\Big )}{(1+p_1\ell _1h_1R_{17}^*+p_2\ell _2h_2R_{28}^*)^2}\); \(p_{32}=\displaystyle \frac{p_2\ell _2H_{18}^*\Big (e_1+p_1\ell _1R_{18}^*(e_2p_1h_1-e_1p_2h_2)\Big )}{(1+p_1\ell _1h_1R_{18}^*+p_2\ell _2h_2R_{28}^*)^2}\); The characteristic polynomial of Jacobian matrix of system (1) at equilibrium \(E_{08}^*\) is given by
$$\begin{aligned} P(\lambda )=(p_{44}-\lambda )(\lambda ^3+P_2\lambda ^2+P_1\lambda +P_0) \end{aligned}$$(24)where, \(P_2=-(p_{11}+p_{22})\), \(P_1=p_{11}p_{22}-p_{12}p_{21}-p_{32}p_{23}-p_{13}p_{31}\) and \(P_0=p_{11}p_{32}p_{23}+p_{22}p_{13}p_{31}-p_{12}p_{31}p_{23}-p_{13}p_{21}p_{32}\). Equilibrium \(E_{08}^*\) is locally asymptotically stable if \(p_{33}<0\) and Routh-Hurwitz conditions
$$\begin{aligned} P_2>0;\;\; P_0>0 \;\;and\;\; P_2P_1>P_0 \end{aligned}$$are satisfied.
-
(i)
The Jacobian of model system (1) at the coexisting equilibrium \(E^*\) is given by:
$$\begin{aligned} J(E^*)=\left( \begin{array}{cccc} a_{11} &{} a_{12} &{} a_{13} &{} a_{14} \\ a_{21} &{} a_{22} &{} a_{23} &{} a_{24} \\ a_{31} &{} a_{32} &{} 0 &{} 0 \\ a_{41} &{} a_{42} &{} 0 &{} 0 \end{array}\right) , \end{aligned}$$where, \(a_{11}=\displaystyle \frac{p_1\ell _1^2h_1R_1^*H_1^*}{(1+\ell _1p_1h_1R_1^*+\ell _2p_2h_2R_2^*)^2}+ \displaystyle \frac{q_1\ell _1'^2h_1'R_1^*H_2^*}{(1+q_1\ell _1'h_1'R_1^*+q_2\ell _2'h_2'R_2^*)^2}-\displaystyle \frac{r_1R_1^*}{K_1}\); \(a_{12}=\displaystyle \frac{p_1\ell _1p_2h_2\ell _2R_1^*H_1^*}{(1+p_1\ell _1h_1R_1^*+p_2\ell _2h_2R_2^*)^2}+ \displaystyle \frac{q_1\ell _1'q_2h_2'\ell _2'R_1^*H_2^*}{(1+q_1\ell _1'h_1'R_1^*+q_2\ell _2'h_2'R_2^*)^2}\); \(a_{13}=-\displaystyle \frac{p_1\ell _1R_1^*}{1+p_1\ell _1h_1R_1^*+p_2\ell _2h_2R_2^*}\); \(a_{14}=-\displaystyle \frac{q_1\ell _1'R_1^*}{1+q_1\ell _1'h_1'R_1^*+q_2\ell _2'h_2'R_2^*}\); \(a_{21}=\displaystyle \frac{p_1\ell _1h_1\ell _2R_2^*H_1^*}{(1+p_1\ell _1h_1R_1^*+p_2\ell _2h_2R_2^*)^2}+ \displaystyle \frac{q_1\ell _1'h_1'\ell _2'R_2^*H_2^*}{(1+q_1\ell _1'h_1'R_1^*+q_2\ell _2'h_2'R_2^*)^2}\); \(a_{22}=\displaystyle \frac{p_2\ell _2^2h_2R_2^*H_1^*}{(1+p_1\ell _1h_1R_1^*+p_2\ell _2h_2R_2^*)^2}+ \displaystyle \frac{q_2\ell _2'^2h_2'R_2^*H_2^*}{(1+q_1\ell _1'h_1'R_1^*+q_2\ell _2'h_2'R_2^*)^2}-\displaystyle \frac{r_2R_2^*}{K_2}\); \(a_{23}=-\displaystyle \frac{p_2\ell _2R_2^*}{1+p_1\ell _1h_1R_1^*+p_2\ell _2h_2R_2^*}\); \(a_{24}=-\displaystyle \frac{q_2\ell _2'R_2^*}{1+q_1\ell _1'h_1'R_1^*+q_2\ell _2'h_2'R_2^*}\); \(a_{31}=\displaystyle \frac{p_1\ell _1H_1^*\Big (e_1+p_2\ell _2R_2^*(e_1p_2h_2-e_2p_1h_1)\Big )}{(1+p_1\ell _1h_1R_1^*+p_2\ell _2h_2R_2^*)^2}\); \(a_{32}=\displaystyle \frac{p_2\ell _2H_1^*\Big (e_2+p_1\ell _1R_1^*(e_2p_1h_1-e_1p_2h_2)\Big )}{(1+p_1\ell _1h_1R_1^*+p_2\ell _2h_2R_2^*)^2}\); \(a_{41}=\displaystyle \frac{q_1\ell _1'H_2^*\Big (e_1'+q_2\ell _2'R_2^*(e_1'q_2h_2'-e_2'q_1h_1')\Big )}{(1+q_1\ell _1'h_1'R_1^*+q_2\ell _2'h_2'R_2^*)^2}\); \(a_{42}=\displaystyle \frac{q_2\ell _2'H_2^*\Big (e_2'+q_1\ell _1'R_1^*(e_2'q_1h_1'-e_1'q_2h_2')\Big )}{(1+q_1\ell _1'h_1'R_1^*+q_2\ell _2'h_2'R_2^*)^2}\). The characteristic polynomial is given by:
$$\begin{aligned} P(\lambda )=\lambda ^4+A_3\lambda ^3+A_2\lambda ^2+A_1\lambda +A_0, \end{aligned}$$(25)where,
$$\begin{aligned} A_3= & {} -(a_{11}+a_{22}); \\ A_2= & {} a_{11}a_{22}-a_{23}a_{32}-a_{12}a_{21}-a_{13}a_{31}-a_{24}a_{42}-a_{41}a_{14};\\ A_1= & {} a_{11}a_{23}a_{32}+a_{22}a_{13}a_{31}+a_{11}a_{42}a_{24}+a_{22}a_{41}a_{14}-a_{12}a_{31}a_{23}\\- & {} a_{13}a_{21}a_{32}-a_{14}a_{42}a_{21}-a_{41}a_{24}a_{12};\\ A_0= & {} a_{41}a_{32}a_{23}a_{14}+a_{42}a_{24}a_{13}a_{31}-a_{41}a_{32}a_{13}a_{24}-a_{42}a_{31}a_{14}a_{23}. \end{aligned}$$The coexisting equilibrium \(E^*\) is locally asymptotically stable if the Routh-Hurwitz conditions
$$\begin{aligned} A_3>0; \;\; A_2>0; \;\; A_0>0 \;\; and \;\; A_1(A_3A_2-A_1)>A_3^2A_0 \end{aligned}$$are satisfied.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Mendy, A., Yatat-Djeumen, I.V., Lam, M. et al. Optimal Strategy in a Two Resources Two Consumers Grazing Model. Differ Equ Dyn Syst (2023). https://doi.org/10.1007/s12591-023-00647-w
Accepted:
Published:
DOI: https://doi.org/10.1007/s12591-023-00647-w