
Citation: Jie Wang, Jian Wang, Jiafeng Cao. A heterogeneous parasitic-mutualistic model of mistletoes and birds on a periodically evolving domain[J]. Mathematical Biosciences and Engineering, 2020, 17(6): 6678-6698. doi: 10.3934/mbe.2020347
[1] | Liqiong Pu, Zhigui Lin . A diffusive SIS epidemic model in a heterogeneous and periodically evolvingenvironment. Mathematical Biosciences and Engineering, 2019, 16(4): 3094-3110. doi: 10.3934/mbe.2019153 |
[2] | Hongyong Zhao, Yangyang Shi, Xuebing Zhang . Dynamic analysis of a malaria reaction-diffusion model with periodic delays and vector bias. Mathematical Biosciences and Engineering, 2022, 19(3): 2538-2574. doi: 10.3934/mbe.2022117 |
[3] | Rafael Bravo de la Parra, Ezio Venturino . A discrete two time scales model of a size-structured population of parasitized trees. Mathematical Biosciences and Engineering, 2024, 21(9): 7040-7066. doi: 10.3934/mbe.2024309 |
[4] | Dong Liang, Jianhong Wu, Fan Zhang . Modelling Population Growth with Delayed Nonlocal Reaction in 2-Dimensions. Mathematical Biosciences and Engineering, 2005, 2(1): 111-132. doi: 10.3934/mbe.2005.2.111 |
[5] | James T. Cronin, Jerome Goddard II, Amila Muthunayake, Ratnasingham Shivaji . Modeling the effects of trait-mediated dispersal on coexistence of mutualists. Mathematical Biosciences and Engineering, 2020, 17(6): 7838-7861. doi: 10.3934/mbe.2020399 |
[6] | Fiona R. Macfarlane, Mark A. J. Chaplain, Tommaso Lorenzi . A hybrid discrete-continuum approach to model Turing pattern formation. Mathematical Biosciences and Engineering, 2020, 17(6): 7442-7479. doi: 10.3934/mbe.2020381 |
[7] | Adam Sullivan, Folashade Agusto, Sharon Bewick, Chunlei Su, Suzanne Lenhart, Xiaopeng Zhao . A mathematical model for within-host Toxoplasma gondii invasion dynamics. Mathematical Biosciences and Engineering, 2012, 9(3): 647-662. doi: 10.3934/mbe.2012.9.647 |
[8] | Daniel Špale, Petr Stehlík . Stationary patterns in bistable reaction-diffusion cellular automata. Mathematical Biosciences and Engineering, 2022, 19(6): 6072-6087. doi: 10.3934/mbe.2022283 |
[9] | Xue Zhang, Shuni Song, Jianhong Wu . Onset and termination of oscillation of disease spread through contaminated environment. Mathematical Biosciences and Engineering, 2017, 14(5&6): 1515-1533. doi: 10.3934/mbe.2017079 |
[10] | Hyo Won Lee, Donald L. DeAngelis, Simeon Yurek, Stephen Tennenbaum . Wading bird foraging on a wetland landscape: a comparison of two strategies. Mathematical Biosciences and Engineering, 2022, 19(8): 7687-7718. doi: 10.3934/mbe.2022361 |
As a unique vector-borne parasite, mistletoe is not only parasitic and commensal, but also mutulistic with its vectors, that is, the avian seed-dispersers. In fact, Mistletoes always infect vascular plants ranging from cacti to pines, and prevail in many areas [1]. Although mistletoes are always thought as pests that kill trees and depreciate natural habitats, more and more recent investigators have gradually recognized them as an indispensable ecological keystone species, which contribute greatly to biodiversity by providing high quality food and habitat for a broad range of animals living in woodlands and forests worldwide [2].
Due to so special nature of the interaction between mistletoes and their bird vectors, the model of mistletoes and birds has received impressive attention from researchers in many disciplines. In particular, in the earlier study of Liu et al. [3], they first proposed a single species model to investigate the dynamics of mistletoes, in which the population of the birds was assumed to be constant, and lived in a common isolated and fixed habitat with mistletoes. Different from [3], recently, Wang et al. [4] built a more complex model to incorporate the spatial dispersal, the maturation delay of mistletoes and homogeneous spatial-temporal interaction between mistletoes and birds in a fixed spatial domain. By the different choices of the dispersal fashion of mistletoe fruits by birds, Wang et al. [4] obtained some detailed information about the spatial patterns of mistletoes and birds, which are extremely beneficial for people to understand the long time dynamics of mistletoes and birds world. Following this pioneering work, Wang et al. [5] still explored the spatial spreading behaviors of the same model with some simpler assumptions, and derived the existences of asymptotic spreading speed and traveling waves by monotone semiflow theory.
Although all aforementioned studies are developed on time-independent domains with homogeneous hypothesis on the spatial-temporal environment, one must note that in reality, either the habit that the creature living in or the environment they undergo always keeps changing as time evolving. For example, many birds periodically migrate between different latitudes, where both the food resource and the mortality vary obviously. In fact, there were more and more literatures concerning the asymptotic behaviors of the solutions to the reaction-diffusion systems on some changing domains, and we refer to [6,7] for the pattern formation on a growing domain, [8,9] for the species model on finite or infinite growing domains, respectively, [10] for the logistic equation on a periodically evolving domain, and [11,12] for the epidemic systems on a periodically evolving domain.
Motivated by aforementioned studies and the periodicity of birds' territory, we will investigate a heterogeneous parasitic-mutualistic model of mistletoes and birds in a periodically evolving domain, and reveal some new phenomena caused by the domain evolution in the model.
For such aims, we start with some fundamental assumptions for our model. In accordance to [10], let Ω(t)⊂Rn be a bounded and simply connected domain that periodically evolves over time t≥0 with smooth boundary ∂Ω(t). Denote B(t,X(t)) and M(t,X(t)), respectively, be the population densities of birds and mistletoes at time t and spatial position X(t)∈Ω(t). In the light of [4,5] and Reynolds transport theorem [13], we will focus on the following dimensionless reaction-diffusion equation
{Mt−dMΔM+→ν⋅∇M+M(∇⋅→ν)=ˉα(t,X)MBM+B−ˉδ(t,X)M,t>0,X∈Ω(t),Bt−dBΔB+→ν⋅∇B+B(∇⋅→ν)=B(ˉr(t,X)−B)+ˉβ(t,X)MBM+B,t>0,X∈Ω(t),M(t,X(t))=B(t,X(t))=0,t>0,X∈∂Ω(t) | (1.1) |
with the initial functions defined on the initial domain Ω0:=Ω(0). In the mistletoes and birds world, ˉα(t,X) is the rate of successfully attaching the mistletoe seeds to birds, which is equivalent to the rate of parasites transmission, while ˉδ(t,X) is the mortality rate of the mistletoes. Meanwhile, ˉβ(t,X) is the conversion rate, at which energy is transformed from mistletoes fruits birds eaten into birds population, and ˉr(t,X) is the abundance of the food resources other than mistletoes fruits. Moreover, dM and dB represent the random diffusivity of mistletoes and birds, respectively, which satisfy 0<dM≪dB attributed to the tremendous scale difference between their territories. On the other hand, →ν is the flow velocity yielded by the domain evolving, the advection terms →ν⋅∇M and →ν⋅∇B represent the transport of populations determined by →ν, and M(∇⋅→ν) and B(∇⋅→ν) are the annihilation term due to local volume changes [6,7,14].
To circumvent the complexities due to the terms of dilution and advection, we adopt the transformation between Eulerian coordinate and Lagrangian coordinate in fluid mechanics to modify problem (1.1) from the evolving domain into the fixed domain. Therefore, we first suppose that domain evolves periodically and isotropically, that is,
X(t)=κ(t)x for all X(t)∈Ω(t) and (t,x)∈[0,∞)×Ω0, | (1.2) |
where x and X are the spatial coordinates of the initial domain Ω0 and evolving domain Ω(t), respectively; the evolving ratio κ(t)∈C1([0,T],(0,∞)) is a T-periodic function, i.e., κ(t)=κ(t+T), and satisfies κ(0)=1 and 0<κ(t)≤κ∗ for all t≥0, where κ∗ is a positive constant. Moreover, without loss of generality, we also assume that the flow velocity is equivalent to the changing velocity of the domain, i.e., →ν=˙X(t). As a result, we have
→ν=˙X(t)=˙κ(t)x=˙κ(t)κ(t)X(t). |
Hence, redefine
M(t,X(t)):=m(t,x),B(t,X(t)):=b(t,x), | (1.3) |
then problem (1.2) and (1.3) yield that
Mt+→ν⋅∇M=mt,Bt+→ν⋅∇B=bt,M(∇⋅→ν)=n˙κ(t)κ(t)m,B(∇⋅→ν)=n˙κ(t)κ(t)b,ΔM=1κ2(t)Δm,ΔB=1κ2(t)Δb. |
Meanwhile, redefining
ˉα(t,X(t))=α(t,x),ˉδ(t,X(t))=δ(t,x),ˉr(t,X(t))=r(t,x),ˉβ(t,X(t))=β(t,x) |
as well, problem (1.1) is thus transformed into
{mt−dMκ2(t)Δm=α(t,x)mbm+b−δ(t,x)m−n˙κ(t)κ(t)m,t>0,x∈Ω0,bt−dBκ2(t)Δb=b(r(t,x)−b)+β(t,x)mbm+b−n˙κ(t)κ(t)b,t>0,x∈Ω0,m(t,x)=b(t,x)=0,t>0,x∈∂Ω0 | (1.4) |
with the nontrivial, bounded and continuous initial conditions
m(0,x):=m0(x)≥0, b(0,x):=b0(x)≥0,x∈Ω0. | (1.5) |
Here, we still suppose that α(t,x),δ(t,x),r(t,x), and β(t,x)∈Cθ2,θ([0,∞)ׯΩ0)(θ∈(0,1)) are positive and T-periodic with respect to t. Meanwhile, suppose that
0<z∗≤z(t,x)≤z∗, |
on [0,∞)ׯΩ0, where z=α,δ,r,β; z∗ and z∗ are constants.
Additionally, by extending the definition to be zero either m=0 or b=0, we can reconstruct the reaction function MBM+B as a locally Lipschitz continuous one in the entire first quadrant. Hence, in view of all the assumptions above and the uniform estimates in Lemma 3.4, the standard regularity theory [15,16] indicates that problem (1.4)–(1.5) have a unique global solution (m,b)∈[C1+θ2,2+θ([0,∞)ׯΩ0)]2. Hence, the primary objective of the current article is to investigate the persistence, extinction and coexistence of the birds and mistletoes populations in problem (1.4)–(1.5), and to reveal the important influence and new phenomena caused by the domain evolution. The key technique we adopt here is the spatial-temporal risk index that is similar to the basic reproduction number in epidemiology, which will be established by the principal eigenvalue theory of periodic reaction-diffusion equations.
The remainder of our article is arranged in the following way. In Section 2, we first limit ourself to examine the diffusive dynamics in birds world without mistletoes, and present a fundamental extinction-persistence dichotomy distinguished by the associated spatial-temporal risk index RB0. Section 3 is devoted to comprehensively investigating the dynamics behaviors in the mistletoes-birds world, in which we establish the core spatial-temporal risk index RM0, then obtain the extinction-coexistence dichotomy distinguished by RM0, and explore the impact of evolving domain on the viability of mistletoes. Finally, numerical simulations are also exhibited for some specific cases in Section 4 to illustrate our theoretical conclusions.
In this section, we first explore the diffusive dynamics in birds world without mistletoes, and present a fundamental extinction-persistence dichotomy distinguished by the spatial-temporal risk index RB0, which plays a role being similar to the basic reproduction number in epidemiology.
In fact, provided m≡0, problem (1.4)–(1.5) become
{bt−dBκ2(t)Δb=b(r(t,x)−b)−n˙κ(t)κ(t)b,t>0,x∈Ω0,b(t,x)=0,t>0,x∈∂Ω0,b(0,x):=b0(x)≥0,x∈Ω0. | (2.1) |
To further analyze the asymptotic behavior of the solution of problem (2.1), we focus on the periodic parabolic eigenvalue problem
{ϕt−dBκ2(t)Δϕ=r(t,x)μϕ−n˙κ(t)κ(t)ϕ,t>0,x∈Ω0,ϕ(t,x)=0,t>0,x∈∂Ω0,ϕ(0,x)=ϕ(T,x),x∈Ω0. | (2.2) |
Denote RB0(κ):=μ0, where μ0 is the principal eigenvalue of problem (2.2). We have the following key results.
Lemma 2.1. sign(1−RB0(κ))=signλ0, where λ0 is the principal eigenvalue of the following eigenvalue problem
{ϕt−dBκ2(t)Δϕ=r(t,x)ϕ−n˙κ(t)κ(t)ϕ+λϕ,t>0,x∈Ω0,ϕ(t,x)=0,t>0,x∈∂Ω0,ϕ(0,x)=ϕ(T,x),x∈Ω0. | (2.3) |
Proof. For any fixed μ>0, consider the eigenvalue problem
{ϕt−dBκ2(t)Δϕ=r(t,x)μϕ−n˙κ(t)κ(t)ϕ+Λϕ,t>0,x∈Ω0,ϕ(t,x)=0,t>0,x∈∂Ω0,ϕ(0,x)=ϕ(T,x),x∈Ω0, |
and denote its principal eigenvalue as Λ0(μ). It is well-known [17] that Λ0(μ) is continuous and strictly increasing with respect to μ. Moreover, the uniqueness of principal eigenvalue implies that λ0=Λ0(1) and Λ0(μ0)=0.
On the other hand, since Λ0(μ) satisfies limμ→0+Λ0(μ)<0 and limμ→∞Λ0(μ)>0 [17], one can deduce from the monotonicity of Λ0(μ) that RB0(κ)=μ0 is the unique positive solution for the equation Λ0(μ)=0. Due to
λ0=Λ0(1)−Λ0(μ0)=Λ0(1)−Λ0(RB0(κ)), |
the monotonicity also yields that sign(1−RB0(κ))=signλ0, and the proof is completed.
Therefore, completely identical to [10], we obtain the following existence and attractivity results of the periodic solutions of problem (2.1) in the evolving domain.
Theorem 2.2. Let b(t,x;b0) be the solution of problem (2.1) with nonnegative, bounded and continuous initial conditions b0(x)≥0 on ¯Ω0.
(i) If RB0(κ)≤1, then the trivial solution b(t,x)≡0 is globally asymptotically stable in the sense that
limi→∞b(t+iT,x;b0)=0 |
holds uniformly on [0,T]ׯΩ0;
(ii) If RB0(κ)>1, then problem (2.1) has a positive and T-periodic solution b∗(t,x), which is globally asymptotically stable for all nontrivial b0 in the sense that
limi→∞b(t+iT,x;b0)=b∗(t,x) |
holds uniformly on [0,T]ׯΩ0.
Since the case that RB0(κ)≤1 could lead to some trivial extinction for small invasion populations, throughout this section, we focus on discussing the diffusive dynamics of mistletoes under the influence of birds for the case RB0(κ)>1.
We will introduce the spatial-temporal risk index RM0(κ) associated with the problem (1.4)–(1.5), which is a similar role as index RB0(κ), while it will be constructed by a more epidemic fashion. The readers are also referred to the similar conception defined by Lin et al. [18,19] for the free boundary problems.
For such aim, we first consider the linearized equation for problem (1.4)–(1.5) at point (m,b)=(0,b∗) as follows
{mt−dMκ2(t)Δm=α(t,x)m−δ(t,x)m−n˙κ(t)κ(t)m,t>0,x∈Ω0,bt−dBκ2(t)Δb=β(t,x)m+(r−2b∗)b−n˙κ(t)κ(t)b,t>0,x∈Ω0,m(t,x)=b(t,x)=0,t>0,x∈∂Ω0. | (3.1) |
Let d(t)=dMκ2(t) and η(t,x)=δ(t,x)+n˙κ(t)κ(t), then the first equation of problem (3.1) yields
{mt−d(t)Δm=α(t,x)m−η(t,x)m,t>0,x∈Ω0,m(t,x)=0,t>0,x∈Ω0. | (3.2) |
We first consider the case that η(t,x)≥0 for any t≥0 and x∈¯Ω0.
Let CT be all the continuous and T-periodic functions from R to C(¯Ω0,R), which is equipped with the positive cone C+T:={ζ∈CT:ζ(t)(x)≥0,∀t∈R,x∈¯Ω0} and maximum norm ||⋅||. It is easy to see that CT is an ordered Banach space. We denote ζ(t,x):=ζ(t)(x) for any ζ∈CT.
Besides, let A(t,τ) be the evolution operator of problem
{mt−d(t)Δm=−η(t,x)m,t>0,x∈Ω0,m(t,x)=0,t>0,x∈∂Ω0. | (3.3) |
Due to the standard semigroup theory, we know that there exist positive constants K and c0 such that
||A(t,τ)||≤Ke−c0(t−τ),∀t≥τ,t,τ∈R. |
Now, assume that ζ∈CT, and let ζ(τ,x) be the density distribution of mistletoes individuals at the time τ and spatial location x∈¯Ω0. Then the term α(τ,x)ζ(t,x) is just the density distribution of the new individuals engendered by the old individuals introduced at time τ. Thus, for any t≥τ, we let A(t,τ)α(τ,x)ζ(τ,x) be the density distribution at location x of the individuals, who are newly introduced at time τ and still are survival at time t. Therefore, the following expression
∫t−∞A(t,τ)α(τ,⋅)ζ(τ,⋅)dτ=∫∞0A(t,t−a)α(t−a,⋅)ζ(t−a,⋅)da |
is called the accumulative density distribution of the new mistletoes individuals at time t and location x, and they are engendered by those individuals ζ(τ,x) introduced at all the time before t.
According to the statements in [20] and [21], we are going to define the operator L:CT→CT as the next generation operator, where
L(ζ,t):=∫t−∞A(t,τ)α(τ,⋅)ζ(τ,⋅)dτ=∫∞0A(t,t−a)α(t−a,⋅)ζ(t−a,⋅)da. |
It is clear that L is continuous, positive and compact on CT. Hence, similar as in [21], we choose the spectral radius r(L) to be defined as the basic reproduction number to problem (1.4)–(1.5), i.e., R0:=r(L).
Furthermore, we have the following significant conclusions.
Lemma 3.1. (i) RM0=μM0 and where μM0 is the principal eigenvalue of the following periodic parabolic eigenvalue problem
{ψt−dMκ2(t)Δψ=α(t,x)μM0ψ−δ(t,x)ψ−n˙κ(t)κ(t)ψ,t>0,x∈Ω0,ψ(t,x)=0,t>0,x∈∂Ω0,ψ(0,x)=ψ(T,x),x∈Ω0; | (3.4) |
(ii) sign(1−RM0)=signλM0, where λM0 is the principal eigenvalue of the following eigenvalue problem
{ψt−dMκ2(t)Δψ=α(t,x)ψ−δ(t,x)ψ−n˙κ(t)κ(t)ψ+λM0ψ,t>0,x∈Ω0,ψ(t,x)=0,t>0,x∈∂Ω0,ψ(0,x)=ψ(T,x),x∈Ω0. | (3.5) |
On the other hand, for the case that η(t,x)<0 for any t≥0 and x∈¯Ω0, we can still adopt the completely identical method used by Lemma 2.1 in Section 2 to obtain Lemma 3.1, and we omit the details for simplicity.
Remark 3.2. To better explore the association between κ(t) and RM0, we denote RM0=RM0(κ) and let ¯κ−2=1T∫T01κ2(t)dt hereafter.
By Lemma 3.1, we have the following results.
Theorem 3.3. (i) If α(t,x)≡α(t), and δ(t,x)≡δ(t) for all t∈[0,T], then
RM0(κ)=∫T0α(t)dt∫T0(δ(t)+dMκ2(t)λM0)dt; |
(ii) If α(t,x)≡α>0 and δ(t,x)≡δ>0 are both constants, then
RM0(κ)=αδ+dMλM0¯κ−2, |
where λM0 is the principal eigenvalue of the following problem
{−Δφ=λM0φ,x∈Ω0,φ=0,x∈∂Ω0. |
Proof. (i) Let ψ0(t,x)=p(t)φ(x)>0 for (t,x)∈(0,∞)×Ω0 be the eigenfunction associating with RM0(κ). Consequently, problem (3.4) sees
˙p(t)φ(x)+dMλM0κ2(t)p(t)φ(x)+δ(t)p(t)φ(x)+n˙κ(t)κ(t)p(t)φ(x)=α(t)RM0(κ)p(t)φ(x), |
which deduces to
˙p(t)p(t)+dMλM0κ2(t)+δ(t)+n˙κ(t)κ(t)−α(t)RM0(κ)=0. | (3.6) |
Integrating (3.6) from 0 to t gives
∫t0(α(t)RM0(κ)−n˙κ(t)κ(t)−δ(t)−dMλM0κ2(t))dt=0. |
It follows from ψ(t+T,x)=ψ(t,x) that one has p(T)=p(0). Thus, we have
RM0(κ)=∫T0α(t)dt∫T0(δ(t)+dMκ2(t)λM0)dt. |
(ii) Due to ¯κ−2=1T∫T01κ2(t)dt, it is clear that we have
RM0(κ)=αδ+dMλM0¯κ−2. |
The proof is completed.
We first make some preliminaries for the proof of the existence of periodic solution.
Lemma 3.4. There exist positive constants Cm and Cb such that the solution (m,b)(t,x) of problem (1.4)–(1.5) satisfying
(0,0)<(m,b)(t,x)≤(Cm,Cb) | (3.7) |
holds uniformly on [0,∞)ׯΩ0, provided that (0,0)≢,≤(m0,b0)(x)≤(Cm,Cb) on ¯Ω0.
Proof. First, the maximum principle confirms the strict positivity, and we will prove the right side of (3.7).
In fact, by the second equation of (1.4), we deduce that
bt−dBκ2(t)Δb=b(r(t,x)−b)+β(t,x)mbm+b−n˙κ(t)κ(t)b≤b[r(t,x)+β(t,x)−n˙κ(t)κ(t)−b]≤b(r∗+β∗−cκ−b). |
Consequently, we obtain
b(t,x)≤max{r∗+β∗−cκ,||b0||∞} |
uniformly on [0,∞)ׯΩ0, where cκ:=mint∈[0,T]{n˙κ(t)κ(t)}<0. Denote Cb:=r∗+β∗−cκ. Then we obtain
b(t,x)≤Cb |
uniformly on [0,∞)ׯΩ0 if ||b0||∞≤Cb.
Similarly, after assuming that δ∗+cκ>0, we still have
m(t,x)≤Cm |
uniformly on [0,∞)ׯΩ0 if ||m0||∞≤Cm where Cm:=α∗Cbδ∗+cκ
In brief, we have
(0,0)<(m,b)(t,x)≤(Cm,Cb) |
uniformly on [0,∞)ׯΩ0, provided that (0,0)≢,≤(m0,b0)(x)≤(Cm,Cb) on ¯Ω0. The proof is finished.
Theorem 3.5. Let (m,b)(t,x;m0,b0) be the solution of problem (1.4)–(1.5) with nonnegative, bounded and continuous initial conditions m0(x)≥0 and b0(x)≥,≢0 on ¯Ω0. If RM0(κ)≤1, then the solution (0,b∗) is globally asymptotically stable in the sense that
limi→∞(m,b)(t+iT,x;m0,b0)=(0,b∗)(t,x) |
holds uniformly on [0,T]ׯΩ0.
Proof. For (t,x)∈[0,T)ׯΩ0, selecting mu(t,x)=Ce−σtψ(t,x), where ψ(t,x) satisfying ‖ψ‖∞=1 is the normalized eigenfunction associated with RM0(κ), 0≤σ≤α(t,x)(1RM0−1), and C>0 is a sufficiently large constant. It follows that
mut−dMκ2(t)Δmu−α(t,x)bmu+bmu+δ(t,x)mu+n˙κ(t)κ(t)mu≥mut−dMκ2(t)Δmu−α(t,x)mu+δ(t,x)mu+n˙κ(t)κ(t)mu=Ce−σtψt−σCe−σtψ−Ce−σtdMκ2(t)Δψ−α(t,x)Ce−σtψ+δ(t,x)Ce−σtψ+n˙κ(t)κ(t)Ce−σtψ=mu(−σ+α(t,x)RM0−α(t,x))≥0. |
Then, mu is the upper solution of the following problem
{mt−dMκ2(t)Δm=α(t,x)bm+bm−δ(t,x)m−n˙κ(t)κ(t)m,t>0,x∈Ω0,m(t,x)=0,t>0,x∈∂Ω0,m(0,x)=m0(x)≥0,x∈Ω0. |
Hence, the uniform limit limt→∞m(t,x)=0 is derived from the fact that limt→∞mu(t,x)=0 uniformly for x∈¯Ω0. Furthermore, by the almost parallel method adopted in [22], we also can show that limi→∞b(t+iT,x)=b∗(t,x) holds uniformly on [0,T]ׯΩ0. The proof is completed.
Next, we combine the related eigenvalue problem and ordered upper and lower solutions to explore the periodic steady state coexistence solutions of problem (1.4)–(1.5) and their attractivity. Concretely speaking, we will focus on the following problem
{mt−dMκ2(t)Δm=α(t,x)bm+bm−δ(t,x)m−n˙κ(t)κ(t)m,t>0,x∈Ω0,bt−dBκ2(t)Δb=b(r(t,x)−b)+β(t,x)mm+bb−n˙κ(t)κ(t)b,t>0,x∈Ω0,m(t,x)=b(t,x)=0,t>0,x∈∂Ω0,m(0,x)=m(T,x),b(0,x)=b(T,x),x∈Ω0. | (3.8) |
The following definition of upper and lower solutions is fundamental.
Definition 3.6. (˜m,˜b)(t,x) and (ˆm,ˆb)(t,x) are called upper and lower solutions to problem (3.8) if
{˜mt−dMκ2(t)Δ˜m≥α(t,x)˜b˜m+˜b˜m−δ(t,x)˜m−n˙κ(t)κ(t)˜m,t>0,x∈Ω0,˜bt−dBκ2(t)Δ˜b≥˜b(r(t,x)−˜b)+β(t,x)˜m˜m+˜b˜b−n˙κ(t)κ(t)˜b,t>0,x∈Ω0,ˆmt−dMκ2(t)Δˆm≤α(t,x)ˆbˆm+ˆbˆm−δ(t,x)ˆm−n˙κ(t)κ(t)ˆm,t>0,x∈Ω0,ˆbt−dBκ2(t)Δˆb≤ˆb(r(t,x)−ˆb)+β(t,x)ˆmˆm+ˆbˆb−n˙κ(t)κ(t)ˆb,t>0,x∈Ω0,ˆm(t,x)=0≤˜m(t,x),ˆb(t,x)=0≤˜b(t,x),t>0,x∈∂Ω0,ˆm(0,x)≤ˆm(T,x),ˆb(0,x)≤ˆb(T,x),x∈Ω0,˜m(0,x)≥˜m(T,x),˜b(0,x)≥˜b(T,x),x∈Ω0. | (3.9) |
Moreover, (˜m,˜b)(t,x) and (ˆm,ˆb)(t,x) are called a pair of ordered upper and lower solutions if they satisfy (0,0)≤(ˆm,ˆb)≤(˜m,˜b)≤(Cm,Cb).
The parallel definition to problem (1.4)–(1.5) could be obtained by similar fashion as well.
For further analysis, we also set
{K1:=max[0,T]×Ω0(δ(t,x)+n˙κ(t)κ(t)),K2:=max[0,T](n˙κ(t)κ(t))+Cb |
and
{F(m,b):=α(t,x)bm+bm−δ(t,x)m−n˙κ(t)κ(t)m+K1m,t>0,x∈Ω0,G(m,b):=b(r(t,x)−b)+β(t,x)mm+bb−n˙κ(t)κ(t)b+K2b,t>0,x∈Ω0, |
where F and G are clearly nondecreasing about m and b. Then problem (3.8) can be rewritten as
{mt−dMκ2(t)Δm+K1m=F(m,b),t>0,x∈Ω0,bt−dBκ2(t)Δb+K2b=G(m,b),t>0,x∈Ω0,m(t,x)=b(t,x)=0,t>0,x∈∂Ω0,m(0,x)=m(T,x),b(0,x)=b(T,x),x∈Ω0. | (3.10) |
We now select (¯m(0),¯b(0))=(˜m,˜b) and (m_(0),b_(0))=(ˆm,ˆb) as initial functions and construct sequences {(¯m(i),¯b(i))} and {(m_(i),b_(i))} (i=1,2,...,) by the following iteration procedure
{¯m(i)t−dMκ2(t)Δ¯m(i)+K1¯m(i)=F(¯m(i−1),¯b(i−1)),t>0,x∈Ω0,¯b(i)t−dBκ2(t)Δ¯b(i)+K2¯b(i)=G(¯m(i−1),¯b(i−1)),t>0,x∈Ω0,m_(i)t−dMκ2(t)Δm_(i)+K1m_(i)=F(m_(i−1),b_(i−1)),t>0,x∈Ω0,b_(i)t−dBκ2(t)Δb_(i)+K2b_(i)=G(m_(i−1),b_(i−1)),t>0,x∈Ω0,¯m(i)(t,x)=m_(i)(t,x)=¯b(i)(t,x)=b_(i)(t,x)=0,t>0,x∈∂Ω0,¯m(i)(0,x)=¯m(i−1)(T,x),¯b(i)(0,x)=¯b(i−1)(T,x),x∈Ω0,m_(i)(0,x)=m_(i−1)(T,x),b_(i)(0,x)=b_(i−1)(T,x),x∈Ω0. | (3.11) |
We first derive the following fundamental properties of the two sequences above.
Lemma 3.7. Assume that (¯m(i),¯b(i)) and (m_(i′),b_(i′)) are ordered upper and lower solutions of problem (3.8) for any i and i′. If there exist
(m_(i′),b_(i′))(0,x)≤(m0(x),b0(x))≤(¯m(i),¯b(i))(0,x) |
in Ω0, then (¯m(i),¯b(i)) and (m_(i′),b_(i′)) are also ordered upper and lower solutions of problem (1.4)–(1.5).
If we still denote the two sequences generated by (3.11) as {(¯m(i),¯b(i))} and {(m_(i),b_(i))} with
(¯m(i),¯b(i))(0,x)=(m_(i),b_(i))(0,x)=(m0(x),b0(x)), x∈Ω0, | (3.12) |
and (ˆm,ˆb)≤(m0(x),b0(x))≤(˜m,˜b) in Ω0, then the following result holds.
Lemma 3.8. The two sequences {(¯m(i),¯b(i))} and {(m_(i),b_(i))} converge monotonically to a unique solution (m,b)(t,x) of problem (1.4)–(1.5). Moreover,
(ˆm,ˆb)≤(m_(i−1),b_(i−1))≤(m_(i),b_(i))≤(m,b)≤(¯m(i),¯b(i))≤(¯m(i−1),¯b(i−1))≤(˜m,˜b) |
holds on [0,∞)ׯΩ0.
All the proofs of the lemmas above are routine, so we omit them and refer the details to [23,Theorem B,Lemmas 3.1-3.2].
To present our coexistence results, we need the following key lemma.
Lemma 3.9. The principal eigenvalue λM0 of problem (3.5) is also an eigenvalue for the following eigenvalue problem with some strict positive eigenfunctions (Ψ0,Φ0)
{Ψt−dMκ2(t)ΔΨ=α(t,x)Ψ−δ(t,x)Ψ−n˙κ(t)κ(t)Ψ+ΛΨ,t>0,x∈Ω0,Φt−dBκ2(t)ΔΦ=β(t,x)Ψ+(r(t,x)−2b∗)Φ−n˙κ(t)κ(t)Φ+ΛΦ,t>0,x∈Ω0,Ψ(t,x)=Φ(t,x)=0,t>0,x∈∂Ω0,Ψ(0,x)=Ψ(T,x),Φ(0,x)=Φ(T,x),x∈Ω0, | (3.13) |
provided that λM0<0.
Proof. Let (λM0,ψ0) be the eigenpair of problem (3.5) with λM0<0 and ψ0>0. Then, (λM0,ψ0) satisfies
{Ψt−dMκ2(t)ΔΨ=α(t,x)Ψ−δ(t,x)Ψ−n˙κ(t)κ(t)Ψ+ΛΨ,t>0,x∈Ω0,Ψ(t,x)=0,t>0,x∈∂Ω0,Ψ(0,x)=Ψ(T,x),x∈Ω0. | (3.14) |
We then consider the following inhomogeneous problem of Φ=Φ(t,x)
{Φt−dBκ2(t)ΔΦ=(r(t,x)−2b∗)Φ−n˙κ(t)κ(t)Φ+λM0Φ+β(t,x)ψ0,t>0,x∈Ω0,Φ(t,x)=0,t>0,x∈∂Ω0,Φ(0,x)=Φ(T,x),x∈Ω0. | (3.15) |
Since b∗(t,x) solves
{b∗t−dBκ2(t)Δb∗=(r(t,x)−b∗)b∗−n˙κ(t)κ(t)b∗,t>0,x∈Ω0,b∗(t,x)=0,t>0,x∈∂Ω0,b∗(0,x)=b∗(T,x),x∈Ω0, |
the monotonicity of the principal eigenvalue implies that the following problem
{Φt−dBκ2(t)ΔΦ=(r(t,x)−2b∗)Φ−n˙κ(t)κ(t)Φ+ΛΦt>0,x∈Ω0,Φ(t,x)=0,t>0,x∈∂Ω0,Φ(0,x)=Φ(T,x),x∈Ω0 |
has a positive principal eigenvalue Λ0>0.
Thus, utilizing the positivity of β and ψ0 together with [16, Theorem 16.6], we derive that problem (3.15) has a unique solution Φ0(t,x) satisfying Φ0(t,x)>0 for all (t,x)∈[0,T]×Ω0. To sum up, if the principal eigenvalue λM0<0, then it is still an eigenvalue of the eigenvalue problem (3.13) with strict positive eigenfunctions (Ψ0,Φ0)=(ψ0,Φ0). The lemma is proved.
Now, it is the turn to present our main theorem as following.
Theorem 3.10. If RM0(κ)>1, then the following conclusions hold:
(i) There are a pair of minimal and maximal positive T-periodic solutions (m_,b_)≤(¯m,¯b) of problem (3.8) over (0,b∗), moreover, if (m_,b_)(0,x)=(¯m,¯b)(0,x), then (¯m,¯b)=(m_,b_):=(m⋄,b⋄) is the unique positive T-periodic solution to problem (3.8);
(ii) Let (m,b)(t,x;m0,b0) be the solution of problem (1.4)–(1.5) with bounded and continuous initial conditions (0,0)≢,≤(m0,b0)(x)≤(Cm,Cb) on ¯Ω0, then (m_,b_)≤(¯m,¯b) is attractive in the sense that
(m_,b_)(t,x)≤lim infi→∞(m,b)(t+iT,x;m0,b0)≤lim supi→∞(m,b)(t+iT,x;m0,b0)≤(¯m,¯b)(t,x) | (3.16) |
holds uniformly on [0,T]ׯΩ0.
Proof. (i) It is clear that (Cm,Cb) and (0,b∗) are ordered upper and lower solutions of problem (3.8). We select the (¯m(0),¯b(0))=(˜m,˜b)=(Cm,Cb) and (m_(0),b_(0))=(ˆm,ˆb)=(γΨ,b∗+γΦ) as initial iteration, where (Ψ,Φ) is the positive eigenfunction of eigenvalue problem (3.13) associated with λM0<0 given by Lemma 3.9, and γ is sufficiently small positive number.
[23, Lemma 3.1] ensures that the sequences {(¯m(i),¯b(i))} and {(m_(i),b_(i))} defined by (3.11) have the monotonicity
(m_(0),b_(0))≤(m_(i−1),b_(i−1))≤(m_(i),b_(i))≤(¯m(i),¯b(i))≤(¯m(i−1),¯b(i−1))≤(¯m(0),¯b(0)). | (3.17) |
Therefore, the the monotone convergence theorem [23, Theorem A] implies that there exist a pair of (¯m,¯b) and (m_,b_) satisfying
limi→∞(¯m(i),¯b(i))=(¯m,¯b),limi→∞(m_(i),b_(i))=(m_,b_), |
(m_(0),b_(0))≤(m_(i−1),b_(i−1))≤(m_(i),b_(i))≤(m_,b_)≤(¯m,¯b)≤(¯m(i),¯b(i))≤(¯m(i−1),¯b(i−1))≤(¯m(0),¯b(0)), | (3.18) |
and
{¯mt−dMκ2(t)Δ¯m=α(t,x)¯b¯m+¯b¯m−δ(t,x)¯m−n˙κ(t)κ(t)¯m,t>0,x∈Ω0,¯bt−dBκ2(t)Δ¯b=¯b(r(t,x)−¯b)+β(t,x)¯m¯m+¯b¯b−n˙κ(t)κ(t)¯b,t>0,x∈Ω0,m_t−dMκ2(t)Δm_=α(t,x)b_m_+b_m_−δ(t,x)m_−n˙κ(t)κ(t)m_,t>0,x∈Ω0,b_t−dBκ2(t)Δb_=b_(r(t,x)−b_)+β(t,x)m_m_+b_b_−n˙κ(t)κ(t)b_,t>0,x∈Ω0,¯m(t,x)=m_(t,x)=¯b(t,x)=b_(t,x)=0,t>0,x∈∂Ω0,¯m(0,x)=¯m(T,x),¯b(0,x)=¯b(T,x),x∈Ω0,m_(0,x)=m_(T,x),b_(0,x)=b_(T,x),x∈Ω0. | (3.19) |
Clearly, (m_,b_) and (¯m,¯b) are T-periodic solutions of problem (3.8) satisfying (0,b∗)≤(m_,b_)≤(¯m,¯b).
Next, we claim that (m_,b_) and (¯m,¯b) are minimal and maximal, respectively.
In fact, any T-periodic solution (m∗∗,b∗∗) over (0,b∗) satisfies (ˆm,ˆb)≤(m∗∗,b∗∗)≤(˜m,˜b) on [0,T]ׯΩ0 if γ>0 is sufficiently small. Hence, after choosing (˜m,˜b) and (m∗∗,b∗∗) as the initial data for iteration, and operate iteration like problem (3.11), it follows that
(m∗∗,b∗∗)≤(¯m,¯b)on [0,T]ׯΩ0, |
that is, (¯m,¯b) is the maximal T-periodic solution of problem (3.8). Similarly, we also have
(m_,b_)≤(m∗∗,b∗∗)on [0,T]ׯΩ0, |
which indicates that (m_,b_) is the minimal T-periodic solution of problem (3.8) over (0,b∗).
Lastly, the conclusion (¯m,¯b)=(m_,b_)=(m⋄,b⋄) can be derived by the standard existence-uniqueness theorem on the initial-boundary parabolic equations, provided that (¯m,¯b)(0,x)=(m_,b_)(0,x).
(ii) Due to the comparison principle, we first have b(t,x)≥˜b(t,x) on [0,∞)ׯΩ0 for the same initial data, where ˜b(t,x) is the solution of problem (2.1). Since RB0(κ)>1, Theorem 2.2 yields that limi→∞˜b(t+iT,x)=b∗(t,x) holds uniformly on [0,T]ׯΩ0. Thus, lim infi→∞b(t+iT,x)≥b∗(t,x) holds uniformly on [0,T]ׯΩ0. it follows that for any sufficiently small ε>0, there is a i∗ε>0 such that b(t+iT,x)>b∗(t,x)−ε on [0,T]ׯΩ0 for any i≥i∗ε.
Set
(mi,bi)(t,x):=(m,b)(t+iT,x;m0,b0) |
for any positive integer i≥1. Since
(0,0)<(ˆm,ˆb−ε2)(0,x)≤(mi∗ε,bi∗ε)(0,x)≤(˜m,˜b)(0,x) |
uniformly in Ω0 for sufficiently small ε,γ>0, Lemma 3.8 implies
(ˆm,ˆb−ε2)(t+iT,x)≤(mi∗ε+i,bi∗ε+i)(t,x)≤(˜m,˜b)(t+iT,x) |
on [0,∞)ׯΩ0. In particular,
(ˆm,ˆb−ε2)(t+T,x)≤(mi∗+1,bi∗+1)(t,x)≤(˜m,˜b)(t+T,x) |
on [0,∞)ׯΩ0.
Therefore, by choosing (ˆm,ˆb−ε2) as new initial data (m_(0)ε,b_(0)ε), we still obtain a similar monotone sequences (m_(i)ε,b_(i)ε)(i=1,2,⋯) from (3.11). Moreover, the monotone convergence theorem [23, Theorem A] still yields that (m_(i)ε,b_(i)ε) converge uniformly to a T-periodic solution (m_ε,b_ε) of problem (3.8) as i→∞, and the later converge uniformly to (m_,b_) as ε→0.
By the periodic condition in problem (3.11), we derive
{(˜m,˜b)(t+T,x)=(¯m(0),¯b(0))(t+T,x)=(¯m(1),¯b(1))(t,x),in Ω0,(ˆm,ˆb−ε2)(t+T,x)=(m_(0)ε,b_(0)ε)(t+T,x)=(m_(1)ε,b_(1)ε)(t,x),in Ω0, |
which implies that
(m_(1)ε,b_(1)ε)(0,x)≤(mi∗+1,bi∗+1)(0,x)≤(¯m(1),¯b(1))(0,x) |
in Ω0. Therefore, we know (¯m(1),¯b(1)) and (m_(1)ε,b_(1)ε) are a pair of order upper and lower solutions to problem (3.8) with initial data (mi∗+1,bi∗+1)(0,x) due to Lemma 3.7. By Lemma 3.8 again, the unique solution (mi∗+1,bi∗+1)(t,x) of problem (3.8) satisfies
(m_(1)ε,b_(1)ε)(t,x)≤(mi∗+1,bi∗+1)(t,x)≤(¯m(1),¯b(1))(t,x) |
on [0,∞)ׯΩ0. We obtain from the induction principle that for i≥1,
(m_(i)ε,b_(i)ε)(t,x)≤(mi∗+i,bi∗+i)(t,x)≤(¯m(i),¯b(i))(t,x) |
holds on [0,∞)ׯΩ0. Consequently, we have
(m_ε,b_ε)(t,x)≤lim infi→∞(m,b)(t+iT,x;m0,b0)≤lim supi→∞(m,b)(t+iT,x;m0,b0)≤(¯m,¯b)(t,x) |
holds uniformly on [0,T]ׯΩ0, and the desired result follows from passing to the limits as ε→0. The proof is finished.
The discussion in section 3.2 is fulfilled on the evolving domain, and we will explore the asymptotic behaviors of the related solution on the fixed domain in the sequel. In fact, if κ(t)≡1 and Ω(t)=Ω(0), then the underlying domain is constant, and problem (1.4) is transformed to
{ut−dMΔu=α(t,x)vu+vu−δ(t,x)u,t>0,x∈Ω(0),vt−dBΔv=v(r(t,x)−v)+β(t,x)uu+vv,t>0,x∈Ω(0),u(t,x)=v(t,x)=0,t>0,x∈∂Ω(0) | (3.20) |
with the similar nontrivial, nonnegative and continuous initial conditions
u(0,x)=u0(x), v(0,x)=v0(x),x∈Ω(0). | (3.21) |
The associated periodic steady state coexistence problem is defined by
{ut−dMΔu=α(t,x)vu+vu−δ(t,x)u,t>0,x∈Ω(0),vt−dBΔv=v(r(t,x)−v)+β(t,x)uu+vv,t>0,x∈Ω(0),u(t,x)=v(t,x)=0,t>0,x∈∂Ω(0),u(0,x)=u(T,x),v(0,x)=v(T,x),x∈Ω(0). | (3.22) |
We still denote the spatia-temporal risk index of problem (3.20)–(3.21) as
ℜM0=RM0(1) |
by the identical arguments with Lemma 3.1, and we have the following threshold results completely similar to Theorems 3.5 and 3.10.
Theorem 3.11. Let (u,v)(t,x;m0,b0) be the solution of problem (3.20)–(3.21) with nonnegative, bounded and continuous initial conditions u0(x)≥0 and v0(x)≥,≢0 on ¯Ω(0), then the following conclusions hold:
(i) If ℜM0≤1, then the solution (0,v∗) of problem (3.22) is globally asymptotically stable in the sense that
limi→∞(u,v)(t+iT,x;u0,v0)=(0,v∗)(t,x) | (3.23) |
holds uniformly on [0,T]ׯΩ(0), where v∗(t,x) is the unique solution of the periodic parabolic problem
{vt−dBκ2(t)Δv=v(r(t,x)−v),t>0,x∈Ω(0),v(t,x)=0,t>0,x∈∂Ω(0),v(0,y)=b0(x),x∈Ω(0); |
(ii) If ℜM0>1, then problem (3.22) has a pair of maximal and minimal positive positive T-periodic solution (u_,v_)≤(¯u,¯v) over than (0,b⋆); moreover, if (u_,v_)(0,x)=(¯u,¯v)(0,x), then (¯u,¯v)=(u_,v_):=(u⋄,v⋄) is the unique positive T-periodic solution to problem (3.22). Lastly, (u_,v_) and (¯u,¯v) are also attractive in the sense that
(u_,v_)(t,x)≤lim infi→∞(u,v)(t+iT,x;u0,v0)≤lim supi→∞(u,v)(t+iT,x;u0,v0)≤(¯u,¯v)(t,x) | (3.24) |
holds uniformly on [0,T]ׯΩ(0) for any initial conditions (u0(x),v0(x))≥,≢(0,0) on ¯Ω(0).
At the last, in order to evaluate the effect of the periodically evolving domain on the viability of mistletoes, we present the following investigation, which results directly from Theorem 3.3 (i).
Theorem 3.12. If α(t,x)≡α(t), δ(t,x)≡δ(t) for all t∈[0,T], then the following statements hold:
(i) if ¯κ−2=1, then we have RM0=ℜM0;
(ii) if ¯κ−2>1, then we have RM0<ℜM0;
(iii) if ¯κ−2<1, then we have RM0>ℜM0,
where ¯κ−2=1T∫T01κ2(t)dt.
In fact, Theorem 3.12 reveals that ¯κ−2 can be deemed to an index to forecast the impact of the periodic evolution of domain on the viability of mistletoes. If ¯κ−2=1, then the periodical domain evolution has no effect on the viability of mistletoes. However, if ¯κ−2>1, we guess that the domain evolution caused by the diffusion of mistletoes is not conducive to their survival and transmission. Lastly, if ¯κ−2<1, we find that mistletoes can survive well on the fixed and evolving domains, what is more, the domain evolution can promote diffusion of mistletoes and thus give mistletoes more space for transmission. In brief, the average expansion of the domain can enhance the viability of mistletoes, and vice versa.
In this section, we will implement some numerical simulations to test the previous theoretical results. In addition, to put more emphasis on the diffusive dynamics of mistletoes under the influence of birds, we give the following assumptions about the some coefficients.
dM=0.0001,dB=0.5,r=0.2,β=0.1,λM0=π2,m0(x)=2sin(πx),b0(x)=0.2sin(πx)+0.1sin(3πx). |
To better survey the asymptotic behaviors of the solution of problem (1.4)–(1.5), we select different α, δ and κ(t).
Example 4.1 Fix α=0.1 and δ=0.09905. Choose different κ(t):
(i) Let κ(t)=1, then
RM0(1)=αδ+dMλM0=0.9996<1. |
It is easy to know from Figure 1 that m rapidly decreases to 0, which agrees with Theorem 3.11 (i) that at length mistletoes on a fixed domain will go to extinction;
(ii) Set κ(t)=e0.1(1−cos(4t)), calculation obtains
¯κ−2=2π∫π201κ2(t)dt=0.8269<1 |
and
RM0(κ)=αδ+dMλM0¯κ−2=1.0013>1. |
It is shown in Figure 2 (a) that m tends to a positive steady state. (b)–(c) implies that domain is periodically evolving. And it is line with Theorem 3.10 that mistletoes can coexist with birds on a periodically evolving domain, which also consists with Theorem 3.12 (iii).
Example 4.2. Fix α=0.0845 and δ=112. Choose different κ(t):
(i) Let κ(t)=1, then
RM0(1)=αδ+dMλM0=1.0021>1. |
Observing Figure 3, we easily find that m stabilizes a positive steady state, which is consistent with Theorem 3.11 (ii) that mistletoes and birds can coexist in a fixed domain;
(ii) Set κ(t)=e0.1(cos(4t)−1), result is
¯κ−2=2π∫π201κ2(t)dt=1.2336>1 |
and
RM0(κ)=αδ+dMλM0¯κ−2=0.9994<1. |
Figure 4 (a) shows that m decays to 0 eventually. (b)–(c) tells us that domain evolves periodically. And it agrees to Theorem 3.10 that mistletoes will be eradicated in a periodically evolving domain, which also consists with Theorem 3.12 (ii).
The authors would like to express their sincere thanks to the editor and the anonymous reviewers for their helpful comments and suggestions, which have expressly promoted the original manuscript. This research was partially supported by National Natural Science Foundation of China [11701243, 11901264] and the HongLiu first-class disciplines Development Program of Lanzhou University of Technology.
The authors declare there is no conflict of interest.
[1] | J. E. Aukema, C. M. del Rio, Where does a fruit-eating bird deposit mistletoe seeds? seed deposition patterns and an experiment, Ecology, 83 (2002), 3489-3496. |
[2] |
D. W. Watson, Mistletoe: A keystone resource in forests and woodlands worldwide, Ann. Rev. Ecol. Evol. Syst., 32 (2001), 219-249. doi: 10.1146/annurev.ecolsys.32.081501.114024
![]() |
[3] |
R. Liu, C. M. del Rio, J. Wu, Spatiotemporal variation of mistletoes: A dynamic modeling approach, Bull. Math. Biol., 73 (2011), 1794-1811. doi: 10.1007/s11538-010-9592-6
![]() |
[4] | C. C. Wang, R. S. Liu, J. P. Shi, C. M. del Rio, Spatiotemporal mutualistic model of mistletoes and birds, J. Math. Biol., 68 (2014), 1479-1520. |
[5] | C. C. Wang, R. S. Liu, J. P. Shi, C. M. del Rio, Traveling waves of a mutualistic model of mistletoes and birds, Discrete Contin. Dyn. Syst., 35 (2014), 1743-1765. |
[6] |
E. J. Crampin, E. A. Gaffney, P. K. Maini, Reaction and diffusion on growing domains: scenarios for robust pattern formation, Bull. Math. Biol., 61 (1999), 1093-1120. doi: 10.1006/bulm.1999.0131
![]() |
[7] |
E. J. Crampin, E. A. Gaffney, P. K. Maini, Mode-doubling and tripling in reaction-diffusion patterns on growing domains: a piecewise linear model, J. Math. Biol., 44 (2002), 107-128. doi: 10.1007/s002850100112
![]() |
[8] |
Q. L. Tang, Z. G. Lin, The asymptotic analysis of an insect dispersal model on a growing domain, J. Math. Anal. Appl., 378 (2011), 649-656. doi: 10.1016/j.jmaa.2011.01.057
![]() |
[9] |
Q. L. Tang, L. Zhang, Z. G. Lin, Asymptotic profile of species migrating on a growing habitat, Acta Appl. Math., 116 (2011), 227-235. doi: 10.1007/s10440-011-9639-1
![]() |
[10] |
D. H. Jiang, Z. C. Wang, The diffusive logistic equation on periodically evolving domains, J. Math. Anal. Appl., 458 (2018), 93-111. doi: 10.1016/j.jmaa.2017.08.059
![]() |
[11] | M. Y. Zhang, Z. G. Lin, The diffusive model for Aedes Aegypti mosquito on a periodically evolving domain, Discrete Contin. Dyn. Syst. Ser. B, 24 (2018), 4703. |
[12] | M. Zhu, Y. Xu, J. D. Cao, The asymptotic profile of a dengue fever model on a periodically evolving domain, Appl. Math. Comput., 362 (2019), 124531. |
[13] | D. Acheson, Elementary Fluid Dynamics, Oxford University Press, New York, 1990. |
[14] | M. J. Baines, Moving Finite Element, Monographs on Numerical Analysis, Clarendon Press, Oxford, 1994. |
[15] | D. Daners, P. K. Medina, Abstract Evolution Equations, Periodic Problems and Applications, Longman Scientific & Technical, Harlow, 1992. |
[16] | P. Hess, Periodic-Parabolic Boundary Value Problems and Positivity, Pitman Research Notes in Mathematics vol 247, Longman Scientific & Technical, Harlow, 1991. |
[17] | R. S. Cantrell, C. Cosner, Spatial Ecology via Reaction-Diffusion Equations, John Wiley & Sons Ltd., 2003. |
[18] |
J. Ge, C. X. Lei, Z. G. Lin, Reproduction numbers and the expanding fronts for a diffusionadvection SIS model in heterogeneous time-periodic environment, Nonlin. Anal. Real World Appl., 33 (2017), 100-120. doi: 10.1016/j.nonrwa.2016.06.005
![]() |
[19] |
M. Y. Zhang, Z. G. Lin, A reaction-diffusion-advection model for Aedes aegypti mosquitoes in a time-periodic environment, Nonlin. Anal. Real World Appl., 46 (2019), 219-237. doi: 10.1016/j.nonrwa.2018.09.014
![]() |
[20] |
X. Liang, L. Zhang, X. Q. Zhao, Basic reproduction ratios for periodic abstract functional differential equations (with application to a spatial model for Lyme disease), J. Dynam. Differ. Equat., 31 (2019), 1247-1278. doi: 10.1007/s10884-017-9601-7
![]() |
[21] |
R. Peng, X. Q. Zhao, A reaction-diffusion SIS epidemic model in a time-periodic environment, Nonlinearity, 25 (2012), 1451-1471. doi: 10.1088/0951-7715/25/5/1451
![]() |
[22] |
L. Q. Pu, Z. G. Lin, A diffusive SIS epidemic model in a heterogeneous and periodically evolving environment, Math. Biosci. Eng., 16 (2019), 3094-3110. doi: 10.3934/mbe.2019153
![]() |
[23] |
C. V. Pao, Stability and attractivity of periodic solution parabolic system with time delays, J. Math. Anal. Appl., 304 (2005), 423-450. doi: 10.1016/j.jmaa.2004.09.014
![]() |
1. | Jie Wang, Jian Wang, Lin Zhao, Spreading–Vanishing Scenarios in a Time-Periodic Parasitic–Mutualistic Model of Mistletoes and Birds in Heterogeneous Environment with Free Boundary, 2021, 1040-7294, 10.1007/s10884-021-09968-2 | |
2. | Rui Zhang, Yunhu Zhang, Modeling the effects of air pollutants and meteorological factors on scarlet fever in five provinces, Northwest China, 2013–2018, 2022, 544, 00225193, 111134, 10.1016/j.jtbi.2022.111134 | |
3. | Xiu Dong, Jian Ping Wang, Ming Xin Wang, Free Boundary Problems with Local-nonlocal Diffusions and Different Free Boundaries I: Global Solution, 2022, 38, 1439-8516, 2265, 10.1007/s10114-022-1059-9 | |
4. | Jie Wang, Chuanhui Zhu, Jian Wang, Liang Zhang, Dynamics of a mistletoe-bird model on a weighted network, 2024, 89, 0303-6812, 10.1007/s00285-024-02140-6 | |
5. | Jie Wang, Ruirui Yang, Jian Wang, Jianxiong Cao, Threshold dynamics scenario of a plants-pollinators cooperative system with impulsive effect on a periodically evolving domain, 2024, 35, 0956-7925, 797, 10.1017/S0956792524000135 | |
6. | Jian Fang, Yifei Li, Ying Su, Population Dynamics on Periodically Evolving Domain with Periodic Growth Mechanisms, 2024, 84, 0036-1399, 2219, 10.1137/23M1607714 | |
7. | Jie Wang, Pengyu Song, Shuang-Ming Wang, Yi Zhang, Threshold propagation in a May-Nowak type degenerate reaction-diffusion viral model on periodically evolving domain, 2024, 0, 1531-3492, 0, 10.3934/dcdsb.2024134 |