Fear effects, as spontaneous inherent phenomena among species, ubiquitously manifest in natural ecosystems. In this study, we investigate a Leslie-Gower type predator-prey system incorporating a Holling Type Ⅲ functional response and fear effects under no-flux boundary conditions. For temporal dynamical behaviors, we investigate the Hopf bifurcation for the ordinary differential equations (ODEs). It is found that the system will admit the stable or unstable periodic solution due to supercritical or subcritical Hopf bifurcation based on the first Lyapunov coefficient technique. When we add the diffusion into the system, we rigorously establish the stability conditions of the positive equilibrium. In this manner, the precise existence interval of the Turing instability is obtained so that the spatial profiles of the system can be analyzed. Furthermore, we systematically analyze the existence of Hopf bifurcation in the reaction-diffusion system and characterize the stability of bifurcating periodic solutions by employing normal form theory. The theoretical framework is supported by comprehensive numerical simulations. The research highlights of this paper include the following: (1) The existence of the supercritical and subcritical Hopf bifurcation for the temporal and spatiotemporal predator-prey systems are confirmed; (2) the Turing instability of the spatiotemporal system is found via strict theoretical derivations so that the pattern formation can be observed.
Citation: Xiaoyan Zhao, Liangru Yu, Xue-Zhi Li. Dynamics analysis of a predator-prey model incorporating fear effect in prey species[J]. AIMS Mathematics, 2025, 10(5): 12464-12492. doi: 10.3934/math.2025563
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Fear effects, as spontaneous inherent phenomena among species, ubiquitously manifest in natural ecosystems. In this study, we investigate a Leslie-Gower type predator-prey system incorporating a Holling Type Ⅲ functional response and fear effects under no-flux boundary conditions. For temporal dynamical behaviors, we investigate the Hopf bifurcation for the ordinary differential equations (ODEs). It is found that the system will admit the stable or unstable periodic solution due to supercritical or subcritical Hopf bifurcation based on the first Lyapunov coefficient technique. When we add the diffusion into the system, we rigorously establish the stability conditions of the positive equilibrium. In this manner, the precise existence interval of the Turing instability is obtained so that the spatial profiles of the system can be analyzed. Furthermore, we systematically analyze the existence of Hopf bifurcation in the reaction-diffusion system and characterize the stability of bifurcating periodic solutions by employing normal form theory. The theoretical framework is supported by comprehensive numerical simulations. The research highlights of this paper include the following: (1) The existence of the supercritical and subcritical Hopf bifurcation for the temporal and spatiotemporal predator-prey systems are confirmed; (2) the Turing instability of the spatiotemporal system is found via strict theoretical derivations so that the pattern formation can be observed.
Modular metric spaces were introduced in [4,5]. Behind this new notion, there exists a physical interpretation of the modular. A modular on a set bases on a nonnegative (possibly infinite valued) “field of (generalized) velocities”: to each time λ>0 (the absoulute value of) an averge velocity ωλ(ρ,σ) is associated in such that in order to cover the distance between points ρ,σ∈M, it takes time λ to move from ρ to σ with velocity ωλ(ρ,σ), while a metric on a set stands for non-negative finite distances between any two points of the set. The process of access to this notion of modular metric spaces is different. Actually we deal with these spaces as the nonlinear version of the classical modular spaces as introduced by Nakano [12] on vector spaces and modular function spaces introduced by Musielack [11] and Orlicz [13]. In [1,2] the authors have defined and investigated the fixed point property in the context of modular metric space and introduced several results. For more on modular metric fixed point theory, the reader may consult the books [7,8,9]. Some recent work in modular metric space has been represented in [14,15]. It is almost a century where several mathematicians have improved, extended and enriched the classical Banach contraction principle [1] in different directions along with variety of applications. In 1969, Kannan [6] proved that if X is complete, then a Kannan mapping has a fixed point. It is interesting that Kannan’s theorem is independent of the Banach contraction principle [3].
In this research article, fixed point problem for Kannan mappings in the framework of modular metric spaces is investigated.
Let M≠∅. Throughout this paper for a function ω:(0,∞)×M×M→[0,∞], we will write
ωλ(ρ,σ)=ω(λ,ρ,σ), |
for all λ>0 and ρ,σ∈M.
Definition 1. [4,5] A function ω:(0,∞)×M×M→[0,∞] is called a modular metric on M if following axioms hold:
(ⅰ) ρ=σ⇔ωλ(ρ,σ)=0, for all λ>0;
(ⅱ) ωλ(ρ,σ)=ωλ(σ,ρ), for all λ>0, and ρ,σ∈M;
(ⅲ) ωλ+μ(ρ,σ)≤ωλ(ρ,ς)+ωμ(ς,σ), for all λ,μ>0 and ρ,σ,ς∈M.
A modular metric ω on M is called regular if the following weaker version of (ⅰ) is satisfied
ρ=σif and only ifωλ(ρ,σ)=0, for some λ>0. |
Eventually, ω is called convex if for λ,μ>0 and ρ,σ,ς∈M, it satisfies
ωλ+μ(ρ,σ)≤λλ+μωλ(ρ,ς)+μλ+μωμ(ς,σ). |
Throughout this work, we assume ω is regular.
Definition 2. [4,5] Let ω be a modular on M. Fix ρ0∈M. The two sets
Mω=Mω(ρ0)={ρ∈M:ωλ(ρ,ρ0)→0asλ→∞}, |
and
M∗ω=M∗ω(ρ0)={ρ∈M:∃λ=λ(ρ)>0such thatωλ(ρ,ρ0)<∞} |
are called modular spaces (around ρ0).
It is obvious that Mω⊂M∗ω but this involvement may be proper in general. It follows from [4,5] that if ω is a modular on M, then the modular space Mω can be equipped with a (nontrivial) metric, generated by ω and given by
dω(ρ,σ)=inf{λ>0:ωλ(ρ,σ)≤λ}, |
for any ρ,σ∈Mω. If ω is a convex modular on M, according to [4,5] the two modular spaces coincide, i.e. M∗ω=Mω, and this common set can be endowed with the metric d∗ω given by
d∗ω(ρ,σ)=inf{λ>0:ωλ(ρ,σ)≤1}, |
for any ρ,σ∈Mω. These distances will be called Luxemburg distances.
Following example presented by Abdou and Khamsi [1,2] is an important motivation of the concept modular metric spaces.
example 3. Let Ω be a nonempty set and Σ be a nontrivial σ-algebra of subsets of Ω. Let P be a δ-ring of subsets of Ω, such that E∩A∈P for any E∈P and A∈Σ. Let us assume that there exists an increasing sequence of sets Kn∈P such that Ω=⋃Kn. By E we denote the linear space of all simple functions with supports from P. By N∞ we will denote the space of all extended measurable functions, i.e. all functions f:Ω→[−∞,∞] such that there exists a sequence {gn}⊂E, |gn|≤|f| and gn(ω)→f(ω) for all ω∈Ω. By 1A we denote the characteristic function of the set A. Let ρ:N∞→[0,∞] be a nontrivial, convex and even function. We say that ρ is a regular convex function pseudomodular if:
(ⅰ) ρ(0)=0;
(ⅱ) ρ is monotone, i.e. |f(ω)|≤|g(ω)| for all ω∈Ω implies ρ(f)≤ρ(g), where f,g∈N∞;
(ⅲ) ρ is orthogonally subadditive, i.e. ρ(f1A∪B)≤ρ(f1A)+ρ(f1B) for any A,B∈Σ such that A∩B≠∅, f∈N;
(ⅳ) ρ has the Fatou property, i.e. |fn(ω)|↑|f(ω)| for all ω∈Ω implies ρ(fn)↑ρ(f), where f∈N∞;
(ⅴ) ρ is order continuous in E, i.e. gn∈E and |gn(ω)|↓0 implies ρ(gn)↓0.
Similarly, as in the case of measure spaces, we say that a set A∈Σ is ρ-null if ρ(g1A)=0 for every g∈E. We say that a property holds ρ-almost everywhere if the exceptional set is ρ-null. As usual we identify any pair of measurable sets whose symmetric difference is ρ-null as well as any pair of measurable functions differing only on a ρ-null set. With this in mind we define
N(Ω,Σ,P,ρ)={f∈N∞;|f(ω)|<∞ ρ−a.e}, |
where each f∈N(Ω,Σ,P,ρ) is actually an equivalence class of functions equal ρ-a.e. rather than an individual function. Where no confusion exists we will write M instead of N(Ω,Σ,P,ρ). Let ρ be a regular function pseudomodular.
(a) We say that ρ is a regular function semimodular if ρ(αf)=0 for every α>0 implies f=0 ρ−a.e.;
(b) We say that ρ is a regular function modular if ρ(f)=0 implies f=0 ρ−a.e.
The class of all nonzero regular convex function modulars defined on Ω will be denoted by ℜ. Let us denote ρ(f,E)=ρ(f1E) for f∈N, E∈Σ. It is easy to prove that ρ(f,E) is a function pseudomodular in the sense of Def.2.1.1 in [10] (more precisely, it is a function pseudomodular with the Fatou property). Therefore, we can use all results of the standard theory of modular function space as per the framework defined by Kozlowski in [10], see also Musielak [11] for the basics of the general modular theory. Let ρ be a convex function modular.
(a) The associated modular function space is the vector space Lρ(Ω,Σ), or briefly Lρ, defined by
Lρ={f∈N;ρ(λf)→0 as λ→0}. |
(b) The following formula defines a norm in Lρ (frequently called Luxemburg norm):
‖f‖ρ=inf{α>0;ρ(f/α)≤1}. |
A modular function spaces furnishes a wonderful example of a modular metric space. Indeed, let Lρ be modular function space.
example 4. Define the function ω by
ωλ(f,g)=ρ(f−gλ) |
for all λ>0, and f,g∈Lρ. Then ω is a modular metric on Lρ. Note that ω is convex if and only if ρ is convex. Moreover we have
‖f−g‖ρ=d∗ω(f,g), |
for any f,g∈Lρ.
For more examples readers can see [4,5]
Definition 5. [1]
(1). A sequence {ρn}⊂Mω is ω -convergent to ρ∈Mω if and only if ω1(ρn,ρ)→0.
(2). A sequence {ρn}⊂Mω is ω -Cauchy if ω1(ρn,ρm)→0 as n,m→∞.
(3). A set K⊂Mω is ω-closed if the limit of ω1-convergent sequence of K always belongs to K.
(4). A set K⊂Mω is ω-bounded if
δω=sup{ω1(ρ,σ);ρ,σ∈K}<∞. |
(5). If any ω-Cauchy sequence in a subset K of Mω is a convergent sequence and its limit is in K, then K is called an ω-complete.
(6). The ρ-centered ω-ball of radius r is defined as
Bω(ρ,r)={σ∈Mω;ω1(ρ,σ)≤r}, |
for any ρ∈Mω and r≥0.
Let (M,ω) be a modular metric space. In the rest of this work, we assume that ω satisfies the Fatou property, i.e. if {ρn}ω-converges to ρ and {σn}ω -converges to σ, then we must have
ω1(ρ,σ)≤lim infn→∞ω1(ρn,σn), |
for any ρ∈Mω.
Definition 6. Let (M,ω) be a modular metric space. We define an admissible subset of Mω as intersection of modular balls.
Note that if ω satisfies the Fatou property, then the modular balls are ω-closed. Hence any admissible subset is ω-closed.
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It is well-known that every Banach contractive mapping is a continuous function. In 1968, Kannan [6] was the first mathematician who found the answer and presented a fixed point result in the seting of metric space as following.
Theorem 7. [6] Let (M,d) be a complete metric space and J:M→M be a self-mapping satisfying
d(J(ρ),J(σ))≤α (d(ρ,J(ρ))+d(σ,J(σ))), |
∀ρ,σ∈M and α∈[0,12). Then J has a unique fixed point ς∈M, and for any ρ∈M the sequence of itreaive (Jn(ρ)) converges to ς.
Before we state our results, we introduce the defintion of Kannan mappings in modular metic spaces.
Definition 8. Let K be a nonempty subset of Mω. A mapping J:K→K is called Kannan ω -Lipschitzian if ∃α≥0 such that
ω1(J(ρ),J(σ))≤α (ω1(ρ,J(ρ))+ω1(σ,J(σ))), |
∀ρ,σ∈K. The mapping J is said to be:
(1). Kannan ω-contraction if α<1/2;
(2). Kannan ω-nonexpansive if α=1/2.
(3) ς∈K is said to be fixed point of J if J(ς)=ς.
Note that all Kannan ω-Lipschitzian mappings have at most one fixed point due to the regularty of ω.
The following result discusses the existence of fixed point for kannan contraction maps in the setting of modular metric spaces.
Theorem 9. Let (M,ω) be a modular metric space. Assume that K is a nonempty ω-complete of Mω. Let J:K→K be a Kannan ω -contraction mapping. Let ς∈K be such that ω1(ς,J(ς))<∞. Then {Jn(ς)}ω-converges to some τ∈K. Furthermore, we have ω1(τ,J(τ))=∞ or ω1(τ,J(τ))=0 (i.e., τ is the fixed point of J)
Proof. Let ς∈K such that ω1(ς,J(ς))<+∞. Now we establish that {Jn(ς)} is ω-convergent. As K is ω-complete, it suffices to prove that {Jn(ς)} is ω-Cauchy. Since J is a Kannan ω-contraction mapping, so ∃α∈[0,1/2) such that
ω1(J(ρ),J(σ))≤α (ω1(ρ,J(ρ))+ω1(σ,J(σ))), |
for any ρ,σ∈K. Set k=α/(1−α)<1. Furthermore
ω1(Jn(ς),Jn+1(ς))≤α (ω1(Jn−1(ς),Jn(ς))+ω1(Jn(ς),Jn+1(ς))), |
which implies
ω1(Jn(ς),Jn+1(ς))≤α1−α ω1(Jn−1(ς),Jn(ς))=k ω1(Jn−1(ς),Jn(ς)), |
for any n≥1. Hence,
ω1(Jn(ς),Jn+1(ς))≤kn ω1(ς,J(ς)), |
for any n∈N. As J is a Kannan ω -contraction mapping, so we get
ω1(Jn(ς),Jn+h(ς))≤α (ω1(Jn−1(ς),Jn(ς))+ω1(Jn+h−1(ς),Jn+h(ς))), |
which implies
ω1(Jn(ς),Jn+h(ς))≤α (kn−1+kn+h−1)ω1(ς,J(ς)), | (NL) |
for n≥1 and h∈N. As k<1 and ω1(ς,J(ς))<+∞, we conclude that {Jn(ς)} is ω-Cauchy, as claimed. Let τ∈K be the ω-limit of {Jn(ς)}. As K is ω -closed, we get τ∈K. Suppose that ω1(τ,J(τ))<+∞; then we will obtain that ω1(τ,J(τ))=0. As
ω1(Jn(ς),J(τ)))≤α(ω1(Jn−1(ς),Jn(ς))+ω1(τ,J(τ)))≤α(kn−1 ω1(ς,J(ς))+ω1(τ,J(τ))), |
for any n≥1. By the use of Fatou's property, we obtain
ω1(τ,J(τ)))≤lim infn→∞ ω1(Jn(ς),J(τ)))≤α ω1(τ,J(τ)). |
Since α<1/2, we conclude that ω1(τ,J(τ))=0, i.e., τ is the fixed point of J.
The upcoming result is the analogue to Kannan's extention of the classical Banach contraction principle in modular metric space.
Corollary 10. Let K be a nonempty ω-closed subset of Mω. Let J:K→K be a Kannan ω-contraction mapping such that ω1(ρ,J(ρ))<+∞, for any ρ∈K. Then for any ς∈K, {Jn(ς)}ω-converges to the unique fixed point ς of J. Furthermore, if α is the Kannan constant associated to J, then we have
ω1(Jn(ς),τ)≤α(α1−α)n−1ω1(ς,J(ς)), |
for any ρ∈K and n≥1.
Proof. From Theorem 9, we can obtain the proof of first part directly. Using the inequality (NK) and since k<1, we get
lim infh⟶∞ω1(Jn(ς),Jn+h(ς))≤α (kn−1)ω1(ς,J(ς)), | (3.1) |
Now, using the fatou's property, we have
ω1(Jn(ς),τ)≤α kn−1 ω1(ς,J(ς))=α (α1−α)n−1ω1(ς,J(ς)), |
for any n≥1 and ς∈K.
Recall that an admissible subset of Mω is defined as an intersection of modular balls.
Definition 11. We will say that:
(ⅰ). if any decreasing sequence of nonempty ω-bounded admissible subsets in Mω have a nonempty intersection, then Mω is said to satisfy the property (R),
(ⅱ). if for any nonempty ω-bounded admissible subset K with more than one point, there exists ρ∈K such that
ω1(ρ,σ)<δω(K)=sup{ω1(a,b); a,b∈K}, |
for any σ∈K, then Mω is said to satisfy ω-quasi-normal property.
Following technical lemma is very useful in the proof of our theorem.
Lemma 12. Suppose that Mω satisfy the both (R) property and the ω-quasi-normal property. Let K be a nonempty ω-bounded admissible subset of Mω and J:K→K be a Kannan ω-nonexpansive mapping. Fix r>0. Suppose that Ar={ρ∈K; ω1(ρ,J(ρ))≤r}≠∅. Set
Kr=⋂ {Bω(a,t);J(Ar)⊂Bω(a,t)}∩K. |
Then Kr≠∅, ω-closed admissible subset of K and
J(Kr)⊂Kr⊂Ar andδω(Kr)≤r. |
Proof. As J(Ar) is strictly contained in each balls and intersection of all balls contained in Kr. Thus J(Ar)⊂Kr, and Kr is not empty. From definition of admissible set, we deduce that Kr is an admissible subset of K. Let us prove that Kr⊂Ar. Let ρ∈Kr. If ω1(ρ,J(ρ))=0, then obviously we have ρ∈Ar. Otherwise, assume ω1(ρ,J(ρ))>0. Set
s=sup {ω1(J(ς),J(ρ));ς∈Ar}. |
From the definition of s, we have J(Ar)⊂Bω(J(ρ),s). Hence Kr⊂Bω(J(ρ),s), which implies ω1(ρ,J(ρ))≤s. Let ε>0. Then ∃ς∈Ar such that s−ε≤ω1(J(ρ),J(ς)). Hence
ω1(ρ,J(ρ))−ε≤s−ε≤ω1(J(ρ),J(ς))≤12(ω1(ρ,J(ρ))+ω1(ς,J(ς)))≤12(ω1(ρ,J(ρ))+r). |
As we are taking ε an arbitrarily positive number, so we get
ω1(ρ,J(ρ))≤12(ω1(ρ,J(ρ))+r), |
which implies ω1(ρ,J(ρ))≤r, i.e., ρ∈Ar as claimed. Since J(Ar)⊂Kr, we get J(Kr)⊂J(Ar)⊂Kr, i.e., Kr is J-invariant. Now we prove that δω(Kr)≤r. First, we observe that
ω1(J(ρ),J(σ))≤12(ω1(ρ,J(ρ))+ω1(ς,J(ς)))≤r, |
for any ρ,σ∈Ar. Fix ρ∈Ar. Then J(Ar)⊂Bω(J(ρ),r). The definition of Kr implies Kr⊂Bω(J(ρ),r). Thus J(ρ)∈⋂σ∈Kr Bω(σ,r), which implies J(Ar)⊂⋂σ∈Kr Bω(σ,r). Again by the definition of Kr, we get Kr⊂⋂σ∈Kr Bω(σ,r). Therefore, we have ω1(σ,ς)≤r, for any σ,ς∈Kr, i.e., δω(Kr)≤r.
Now, we are able to state and prove our result for ω -nonexpansive Kannan maps on modular metric spaces.
Theorem 13. Suppose that Mω satisfies both the (R) property and the ω-quasi-normal property. Let K be a nonempty ω-bounded admissible subset of Mω and J:K→K is a Kannan ω-nonexpansive mapping. Then J has a fixed point.
Proof. Set r0=inf {ω1(ρ,J(ρ)); ρ∈K} and rn=r0+1/n, for n≥1. By definition of r0, the set Arn={ρ∈K; ω1(ρ,J(ρ))≤rn} is not empty, for any n≥1. Taking Krn defined in Lemma 12. It is simple to analyze that {Krn} is a decreasing sequence of nonempty ω-bounded admissible subsets of K. The property (R) implies that K∞=⋂n≥1 Krn ≠∅. Let ρ∈K∞. Then we have ω1(ρ,J(ρ))≤rn, for any n≥1. If we let n→∞, we get ω1(ρ,J(ρ))≤r0 which implies ω1(ρ,J(ρ))=r0. Hence the set Ar0≠∅. We claim that r0=0. Otherwise, assume r0>0 which implies that J fails to have a fixed point. Again consider the set Kr0 as defined in Lemma 12. Note that since J fails to have a fixed point and Kr0 is J-invariant, then Kr0 has more than one point, i.e., δω(Kr0)>0. It follows from the ω -quasi-normal property that there exists ρ∈Kr0 such that
ω(ρ,σ)<δω(Kr0)≤r0, |
for any σ∈Kr0. From Lemma 12, we know that Kr0⊂Ar0. From the definition of Kr0, we have
J(ρ)∈T(Ar0)⊂Kr0. |
Hence Obviously this will imply
ω1(ρ,J(ρ))<δω(Kr0)≤r0, |
which is a contradiction with the definition of r0. Hence r0=0 which implies that any point in K∞ is a fixed point of J, i.e., J has a fixed point in K.
In this paper, we have introduced some notions to study the existence of fixed points for contractive and nonexpansive Kannan maps in the setting of modular metric spaces.Using the modular convergence sense, which is weaker than the metric convergence we have proved our results. The proved results generalized and improved some of the results of the literature.
This work was funded by the University of Jeddah, Saudi Arabia, under grant No. UJ-02-081-DR. The author, therefore, acknowledges with thanks the University technical and financial support. The author would like to thank Prof. Mohamed Amine Khamsi for his fruitful discussion and continues supporting of this paper.
The author declares that they have no competing interests.
[1] |
Q. Li, J. F. He, Pattern formation in a ratio-dependent predator-prey model with cross diffusion, Electron, Electron. Res. Arch., 31 (2023), 1106–1118. https://doi.org/10.3934/era.2023055 doi: 10.3934/era.2023055
![]() |
[2] |
J. D. Zhao, T. H. Zhang, Dynamics of two predator-prey models with power law relation, J. Appl. Anal. Comput., 13 (2023), 233–248. https://doi.org/10.11948/20220026 doi: 10.11948/20220026
![]() |
[3] |
N. C. Pati, B. Ghosh, Stability scenarios and period-doubling onset of chaos in a population model with delayed harvesting, Math. Methods Appl. Sci., 46 (2023), 12930–12945. https://doi.org/10.1002/mma.9223 doi: 10.1002/mma.9223
![]() |
[4] |
H. P. Jiang, Stable spatially inhomogeneous periodic solutions for a diffusive Leslie-Gower predator-prey model, J. Appl. Math. Comput., 70 (2024), 2541–2567. https://doi.org/10.1007/s12190-024-02018-2 doi: 10.1007/s12190-024-02018-2
![]() |
[5] |
W. J. Zuo, J. J. Wei, Stability and bifurcation in a ratio-dependent Holling-Ⅲ system with diffusion and delay, Nonlinear Anal.-Model., 19 (2014), 132–153. https://doi.org/10.15388/NA.2014.1.9 doi: 10.15388/NA.2014.1.9
![]() |
[6] |
X. X. Liu, L. H. Huang, Permanence and periodic solutions for a diffusive ratio-dependent predator-prey system, Appl. Math. Model., 33 (2009), 683–691. https://doi.org/10.1016/j.apm.2007.12.002 doi: 10.1016/j.apm.2007.12.002
![]() |
[7] |
V. A. Gaiko, C. Vuik, Global dynamics in the Leslie-Gower model with the Allee effect, Int. J. Bifurcat. Chaos, 28 (2018), 1850151. https://doi.org/10.1142/S0218127418501511 doi: 10.1142/S0218127418501511
![]() |
[8] |
M. X. He, Z. Li, Dynamics of a Lesile-Gower predator-prey model with square root response function and generalist predator, Appl. Math. Lett., 157 (2024), 109193. https://doi.org/10.1016/j.aml.2024.109193 doi: 10.1016/j.aml.2024.109193
![]() |
[9] |
Z. L. Li, Y. Zhang, Dynamic analysis of a fast slow modified Leslie-Gower predator-prey model with constant harvest and stochastic factor, Math. Comput. Simulat., 226 (2024), 474–499. https://doi.org/10.1016/j.matcom.2024.07.027 doi: 10.1016/j.matcom.2024.07.027
![]() |
[10] |
H. B. Shi, Y. Li, Global asymptotic stability of a diffusive predator-prey model with ratio-dependent functional response, Appl. Math. Comput., 250 (2015), 71–77. https://doi.org/10.1016/j.amc.2014.10.116 doi: 10.1016/j.amc.2014.10.116
![]() |
[11] |
H. B. Shi, S. G. Ruan, Y. Su, J. F. Zhang, Spatiotemporal dynamics of a diffusive Leslie-Gower predator-prey model with ratio-dependent functional response, Internat, Int. J. Bifurcat. Chaos, 25 (2015), 1530014. https://doi.org/10.1142/S0218127415300141 doi: 10.1142/S0218127415300141
![]() |
[12] |
D. Tripathi, J. P. Tripathi, S. K. Tiwari, D. Jana, L. F. Hou, Y. Shi, et al., Modified Holling Tanner diffusive and non-diffusive predator-prey models: The impact of prey refuge and fear effect, Results Phys., 65 (2024), 107995. https://doi.org/10.1016/j.rinp.2024.107995 doi: 10.1016/j.rinp.2024.107995
![]() |
[13] |
S. A. A. Hamdallah, A. A. Arafa, Stability analysis of Filippov prey-predator model with fear effect and prey refuge, J. Appl. Math. Comput., 70 (2024), 73–102. https://doi.org/10.1007/s12190-023-01934-z doi: 10.1007/s12190-023-01934-z
![]() |
[14] |
A. Kumar, K. P. Reshma, P. S. Harine, Global dynamics of an ecological model in presences of fear and group defense in prey and Allee effect in predator, Nonlinear Dynam., 113 (2025), 7483–7518. https://doi.org/10.1007/s11071-024-10706-8 doi: 10.1007/s11071-024-10706-8
![]() |
[15] |
J. Z. Cao, F. Li, P. M. Hao, Bifurcation analysis of a diffusive predator-prey model with fear effect, Math. Method. Appl. Sci., 47 (2024), 13404–13423. https://doi.org/10.1002/mma.10198 doi: 10.1002/mma.10198
![]() |
[16] |
S. Mishra, R. Upadhyay, Spatial pattern formation and delay induced destabilization in predator-prey model with fear effect, Math. Method. Appl. Sci., 45 (2022), 6801–6823. https://doi.org/10.1002/mma.8207 doi: 10.1002/mma.8207
![]() |
[17] |
J. Liu, Y. Kang, Spatiotemporal dynamics of a diffusive predator-prey model with fear effect, Nonlinear Anal.-Model., 27 (2022), 841–862. https://doi.org/10.15388/namc.2022.27.27535 doi: 10.15388/namc.2022.27.27535
![]() |
[18] |
H. K. Qi, X. Z. Meng, T. Hayat, A. Hobiny, Influence of fear effect on bifurcation dynamics of predator-prey system in a predator-poisoned environment, Qual. Theor. Dyn. Syst., 21 (2022), 27. https://doi.org/10.1007/s12346-021-00555-w doi: 10.1007/s12346-021-00555-w
![]() |
[19] |
A. Mondal, A. K. Pal, Age-selective harvesting in a delayed predator-prey model with fear effect, Z. NATURFORSCH. A., 77 (2022), 229–248. https://doi.org/10.1515/zna-2021-0217 doi: 10.1515/zna-2021-0217
![]() |
[20] |
H. T. Wang, Y. Zhang, L. Ma, Bifurcation and stability of a diffusive predator-prey model with the fear effect and time delay, Chaos, 33 (2023), 073137. https://doi.org/10.1063/5.0157410 doi: 10.1063/5.0157410
![]() |
[21] |
X. W. Ju, Y. Yang, Turing instability of the periodic solution for a generalized diffusive Maginu model, Comput. Appl. Math., 41 (2022), 290. https://doi.org/10.1007/s40314-022-01992-2 doi: 10.1007/s40314-022-01992-2
![]() |
[22] |
X. Y. Meng, N. N. Qin, H. F. Huo, Dynamics analysis of a predator-prey system with harvesting prey and disease in prey species, J. Biol. Dynam., 12 (2018), 342–374. https://doi.org/10.1080/17513758.2018.1454515 doi: 10.1080/17513758.2018.1454515
![]() |
[23] |
D. Jin, R. Z. Yang, Hopf bifurcation of a predator-prey model with memory effect and intra-species compitition in predator, J. Appl. Anal. Comput., 13 (2023), 1321–1335. https://doi.org/10.11948/20220127 doi: 10.11948/20220127
![]() |
[24] | B. D. Hassard, N. D. Kazarinoff, Y. H. Wan, Theory and applications of Hopf bifurcation, New York: Cambridge University Press, 1981. https://doi.org/10.1137/1024123 |
[25] |
Y. T. Cai, C. C. Wang, D. J. Fan, Bifurcation analysis of a predator-prey model with age structure, Int. J. Bifurcat. Chaos, 30 (2020), 2050114. https://doi.org/10.1142/S021812742050114X doi: 10.1142/S021812742050114X
![]() |
[26] |
Q. An, X. Y. Gu, X. B. Zhang, Normal form and Hopf bifurcation for the memory-based reaction-diffusion equation with nonlocal effect, Math. Method. Appl. Sci., 47 (2024), 12883–12904. https://doi.org/10.1002/mma.10185 doi: 10.1002/mma.10185
![]() |
[27] |
Y. H. Qian, M. R. Ren, H. L. Wang, Dynamic behavior of a class of predator-prey model with two time delays, Acta Mech., 235 (2024), 7453–7473. https://doi.org/10.1007/s00707-024-04111-w doi: 10.1007/s00707-024-04111-w
![]() |
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