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The effects of dispersal on population dynamics (Mathematical models and dynamics of functional equations)

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The

effects of dispersal

on

population

dynamics

1

Jingan

Cui

Department of Mathematics, Nanjing Normal University,

Nanjing 210097 China

Email [email protected]

Abstract In this $\mathrm{p}\mathrm{a}\mathrm{p}\mathrm{e}\mathrm{r},\mathrm{w}\mathrm{e}$ consider the effect of dispersal on the permanence and extinction of

single axtd multiple endangered species that live in changing patches environment. Different from the

former $\mathrm{s}\mathrm{t}\mathrm{u}\mathrm{d}\mathrm{i}\mathrm{e}\mathrm{s},\mathrm{o}\mathrm{u}\mathrm{r}$discussion include the

more

important

situation

in conservation biology that species

live in

a

weak patchy

environment

in the

sense

that species will become extinct in

some

oftheisolated

patches. For single population $\mathrm{m}\mathrm{o}\mathrm{d}\mathrm{e}\mathrm{l},\mathrm{w}\mathrm{e}$ show that the identical species can persist for

some

dispersal $\mathrm{r}\mathrm{a}\mathrm{t}\mathrm{e}\mathrm{s},\mathrm{a}\mathrm{n}\mathrm{d}$

can

also vanish for another set of restriction

on

dispersal $\mathrm{r}\mathrm{a}\mathrm{t}\mathrm{e}\mathrm{s},\mathrm{t}\mathrm{h}\mathrm{o}\mathrm{u}\mathrm{g}\mathrm{h}$ the endangered single

specieswill vanish in

some

isolatedpatcheswithout the contribution from other patches. Furthermore

we

consider the$\mathrm{e}\mathrm{x}\mathrm{i}\mathrm{s}\mathrm{t}\mathrm{e}\mathrm{n}\mathrm{c}\mathrm{e},\mathrm{u}\mathrm{n}\mathrm{i}\mathrm{q}\mathrm{u}\mathrm{e}\mathrm{n}\mathrm{e}\mathrm{s}\mathrm{s}$and global stability ofthepositive periodic solution. For prey-predator $\mathrm{s}\mathrm{y}\mathrm{s}\mathrm{t}\mathrm{e}\mathrm{m},\mathrm{w}\mathrm{e}$ can make both prey and predator species to be permanent by choosing the dispersal rates

appropriatelyeven if the prey species has negative intrinsic growth rate in

some

patches. Particula

for a prey-predator system, we provide a sufficient and necessary condition to guarantee the prey and

predator species to be permanent.

Key words. Logistic equation,Lotffi– げ夙 errasystem, diffusion, $\mathrm{p}\mathrm{e}\mathrm{r}\mathrm{m}\mathrm{a}\mathrm{n}\mathrm{e}\mathrm{n}\mathrm{c}\mathrm{e},\mathrm{e}\mathrm{x}\mathrm{t}\mathrm{i}\mathrm{n}\mathrm{c}\mathrm{t}\mathrm{i}\mathrm{o}\mathrm{n}$, periodic solution, stability.

1

Introduction

Sincethe poineering theoretical work bySkellem $[9],\mathrm{m}\mathrm{a}\mathrm{n}\mathrm{y}$works havefocused

on

theeffectof spatial

fac-torswhich play

a

crucial rule in persistence and stability of population [1-13]. Most of the previous papers

deal withautonomouspopulation systems and indicate that adispersal process in

an

ecological system is

often considered to have

a

stabilizing influence

on

the system [12],but is also probably destabilizingthe

system[8].

Recently, someauthors have alsostudied the influenceofdispersal on thetimedependent population

models (see [13]). The authors always

assume

that the intrinsic growth rates are all continuous and

bounded above and below by positive constants(this

means

thateveryspecieslived in

a

suitable

environ-ment). Theyobtained some sufficient conditionsthat guarantee permanenceofeveryspeciesand global

stability ofa uniquepositive periodic solution.

$\mathrm{H}\mathrm{o}\mathrm{w}\mathrm{e}\mathrm{v}\mathrm{e}\mathrm{r},\mathrm{t}\mathrm{h}\mathrm{e}$actual livingenvironment ofendangered species is not always like this. Because ofthe

ecological effects of the human

activities

and $\mathrm{i}\mathrm{n}\mathrm{d}\mathrm{u}\mathrm{s}\mathrm{t}\mathrm{r}\mathrm{y},\mathrm{e}.\mathrm{g}$

.

the location of manufacturing industries, the

pollutionof the$\mathrm{a}\mathrm{t}\mathrm{m}\mathrm{o}\mathrm{s}\mathrm{p}\mathrm{h}\mathrm{e}\mathrm{r}\mathrm{e},\mathrm{o}\mathrm{f}\mathrm{r}\mathrm{i}\mathrm{v}\mathrm{e}\mathrm{r},\mathrm{o}\mathrm{f}\mathrm{s}\mathrm{o}\mathrm{i}\mathrm{l},\mathrm{e}\mathrm{t}\mathrm{c}$ ,

more

and

more

habitats

were

brokeninto patches and

some

of the patches

were

polluted. In

some

ofthese $\mathrm{p}\mathrm{a}\mathrm{t}\mathrm{c}\mathrm{h}\mathrm{e}\mathrm{s},\mathrm{e}\mathrm{v}\mathrm{e}\mathrm{n}$ in every patches the species will go extinct

without the contribution from other $\mathrm{p}\mathrm{a}\mathrm{t}\mathrm{c}\mathrm{h}\mathrm{e}\mathrm{s},\mathrm{a}\mathrm{n}\mathrm{d}$ hence the species live in a weak patchy environment.

The living environments ofsome endangered andrare species such as giant panda [2931] and alligator

sinensis [34]

are some

convincingexamples.

In order to protect the endangered and

rare

$\mathrm{s}\mathrm{p}\mathrm{e}\mathrm{c}\mathrm{i}\mathrm{e}\mathrm{s},\mathrm{w}\mathrm{e}$ have to consider the effects ofhabitat

ffag-mentation anddiffusion

on

thepermanence and extinctionof single attd multiple species living in weak

environments. The present paper consider the following interesting$\mathrm{p}\mathrm{r}\mathrm{o}\mathrm{b}\mathrm{l}\mathrm{e}\mathrm{m}:\mathrm{t}\mathrm{o}$what extent does dispersal

leadto the permanence

or

extinction ofendangered single and multiple species which could not persist

within

some

isolated patches.

Let $C$ denotesthespaceof all bounded continuous functions $f$: $Rarrow R,C_{+}^{0}$ is the setofnonnegative

$f\in C$and$C_{+}$is the set of all$f\in C$suchthat $f$is bounded below byapositiveconstant. Given$f\in$C,we

denote

$f^{\mathrm{A}\mathrm{f}}=\mathrm{s}\mathrm{u}t\geq \mathrm{p}$$f(t)$, $f^{L}=\mathrm{i}\mathrm{n}t\geq \mathrm{f}$ $f(t)$

$1\mathrm{I}$thank Department of Mathematics, Nanjing Normal University, which enabled

me to visit in Japan and also the hospitalityof Department of Systems Engineering, Shizuoka Universityduringmy stay in Japan.

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58

and define the lower average $Al(/)$ and upperaverage $A_{\Lambda I}(f)$ of$f$ by

$A_{L}(f)= \lim_{rarrow\infty}\inf_{t-s\geq r}(t-s)^{-1}\int_{s}^{t}\mathrm{f}(\mathrm{r})\mathrm{d}\mathrm{r}$

and

$A_{\Lambda \mathrm{f}}(f)= \lim_{rarrow\infty}\sup_{t-\mathit{8}\geq r}(t-s)^{-1}$

$\int_{s}^{t}\mathrm{f}(\mathrm{r})\mathrm{d}\mathrm{r}$

respectively. If$f\in C$is$\mathrm{a};-\mathrm{p}\mathrm{e}\mathrm{r}\mathrm{i}\mathrm{o}\mathrm{d}\mathrm{i}\mathrm{c},\mathrm{t}\mathrm{h}\mathrm{e}\mathrm{n}$the average\^A (/) of$f$mustbe equal to$A_{L}(f)$ and$A_{M}(f),\mathrm{t}\mathrm{h}\mathrm{a}\mathrm{t}$

is

$A_{\omega}(f)=A_{L}(f)=$ Ai$( \mathrm{f})=\omega^{-1}\int_{0}^{\omega}f(r)dr$

Definition. The system ofdifferentialequations

$\dot{x}=F(t, x)$, $x\in R^{n}$

is saidtobe permanent if thereexists a compact set $K$ in the interior of$R_{+}^{n}=\{(x_{1}, x_{2}, \cdot \cdot\cdot, x_{n})\in R^{n}|$ $x_{i}\geq 0$,$\mathrm{i}$$=1,2$,

$\cdots$ ,$n$

},

such that all solutionsstarting in the interior of$R_{+}^{n}$ ultimately enter $K$

.

2

The

effect of habitat ffagmentation

on

single

species

In this section,

we

consider the system

as

composed of patches connected by discrete and linear diffusions,

each patch is assumed to beoccupied bya single species

as

follows

$\dot{x}_{i}$

$=x_{i}[b:(t)-a_{i}(t)x_{i}]+ \sum_{J=1}^{n}D_{ij}(t)$($x_{j}-$xn) $(i=1,2, \cdots, n)$ (2.1)

where $x_{i}(i=1,2, \cdots, n)$ denotes the species $x$ in patch $i$

.

$b_{i}(t)\in C$,$\mathrm{a}\mathrm{i}(\mathrm{t})$$D\{j(t)\in C_{+}(i\neq j)$ and

$D_{ii}(t)\equiv 0.$ $b_{i}(t)$ is the intrinsic growth ratefor species $x$ in patch $\mathrm{i};a_{i}(t)$ represents the self-inhibition

coefficient; and$D\{j(t)$ is the dispersalcoefficient of species $x$ from patch$j$ to patch$i$

.

If$a_{i}(t)$,$b_{\iota}(t)$ arecontinuousand bounded above and below by positive$\mathrm{c}\mathrm{o}\mathrm{n}\mathrm{s}\mathrm{t}\mathrm{a}\mathrm{n}\mathrm{t}\mathrm{s},\mathrm{W}\mathrm{a}\mathrm{n}\mathrm{g}$and Chen [13] showed that the systemispermanent forany$\mathrm{c}\mathrm{o}\mathrm{n}\mathrm{t}\mathrm{i}\mathrm{n}\mathrm{u}\mathrm{o}\mathrm{u}\mathrm{s},\mathrm{n}\mathrm{o}\mathrm{n}\mathrm{n}\mathrm{e}\mathrm{g}\mathrm{a}\mathrm{t}\mathrm{i}\mathrm{v}\mathrm{e}$ and bounded dispersal rates $D_{ij}(t)$

.

$\mathrm{H}\mathrm{o}\mathrm{w}\mathrm{e}\mathrm{v}\mathrm{e}\mathrm{r},\mathrm{i}\mathrm{n}$the process thatthe endangered species be goingto$\mathrm{e}\mathrm{x}\mathrm{t}\mathrm{i}\mathrm{n}\mathrm{c}\mathrm{t}\mathrm{i}\mathrm{o}\mathrm{n},\mathrm{i}\mathrm{t}\mathrm{s}$birth rate is less than the

death

rate.

In this $\mathrm{p}\mathrm{l}\mathrm{a}\mathrm{c}\mathrm{e},\mathrm{w}\mathrm{e}$ will indicate that human

can rescue

the endangered speciesfrom extinction

by controlling dispersal rates.

Theorem [5]. Given any$\xi_{i}>0(i=1,2, \cdots, n)$, the initial value problem

$i\mathrm{j}$

$= \tau_{i},[b_{i}(t)-a_{i}(t)x_{i}]+\sum_{j=1}^{n}Dij(t)$

.

$-x_{i})$

(2.2)

$x_{i}(0)=\xi_{i},i=1,2$,$\cdots$ ,$n$

has a unique solution $x(t)=(x_{1}(t), x_{2}(t),$$\cdots$ ,$x_{n}(t))$ which exists for all $t\geq 0.$ Moreover, there exists

$M>0$,$\tau>0,$ such that

$0<x:(t)\leq M$

for

$t\geq\tau$, (2.3)

theregion$D=$ $\{(x_{1}, x_{2}, \cdots, x_{n})|0<x_{i}\leq M, i=1,2, \cdots, n\}$ being positively invariantwithrespect to

(2.1).

A consequence ofTheorem 2.1 is that for $\xi_{i}>0(i=1,2, \cdots, n)$ the solution of (2.2) is ultimately

bounded above. We will showthatthis solution is also ultimately bounded below

away

from

zero

provided

that

one

ofthe following conditions issatisfied.

$n$

(H2.1) There exists$i\circ(1\leq i_{0}\leq n)$, such that $A_{L}(\theta)>0,\mathrm{w}\mathrm{h}\mathrm{e}\mathrm{r}\mathrm{e}\theta(t)=b_{i_{0}}(t)-i$$D_{i_{0}j}(t)$

.

$j=1$

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Theorem 2.2[5]. Suppose that (H2.1) or (H2.2) holds, then there exists $\delta_{i}$,$0<\delta_{i}<M$ alud$\tau\geq 0,$

such that the solution of (2.2) satisfies

$x_{i}(t)\geq\delta_{i}$, $t\geq\tau$,$i=1,2$,$\cdots$ ,$n$ (2.4)

where $\delta_{i}(i=1,2, \cdot\cdot. , n)$ depend

on

the variousassumptions (H2.1) and (H2.2).

Theorem 2.1 and 2.2 have established that under the

one

ofthe assumptions (H2.1)

or

$(\mathrm{H}2.2),\mathrm{t}\mathrm{h}\mathrm{e}\mathrm{r}\mathrm{e}$

exist positive constants $m$ and $M,\mathrm{t}\mathrm{h}\mathrm{e}$ solution of (2.1) with positive initial

values ultimately enter the

rectangular region $\Omega=$ $\{(x_{1}, x_{2}, \cdots, x_{n})|m\leq x_{i}\leq M, i=1,2, \cdots, n\}$, therefore the population is

permanent.

Remark 2.1. According to the proof of Theorem 2.2, if species $x$ ispermanent in

a

fixed patch $i$,

thenspecies$x$ isalso permanent in other patches for anydispersalrates $Dji(i)(iJ=1,2, \cdots, n)$

.

Next

we

will consider the extinctionof system (2.1). Denote

$\psi(t)=\max\{b_{i}(t)-\sum_{\mathrm{j}=1}^{n}1\leq i\leq nDis(t)+\sum_{j=1}^{n}D_{ji}(t)\}$

Theorem 2.3[5]. Supposethat$\int_{0}^{+\infty}\mathrm{i}\mathrm{p}(\mathrm{t})\mathrm{d}\mathrm{t}$ $=$

$-\mathrm{o}\mathrm{o}$

,

then the solution of(2.1)satisfies

$X:(t)arrow 0$ $i=1,$2,$\cdots$ ,$n,tarrow l- cx$

Next

we

assume

that thefunctions$b_{i}(t)$,$a_{i}(t)$,$D_{ij}(t)$,$(i,j=1,2, \cdots, n)$ in system (2.1)

are

all periodic

functionswith

common

period $\mathrm{a};,\mathrm{a}\mathrm{n}\mathrm{d}$ considerthe positive periodicsolutionof (2.1).

Theorem 2.4[4]. Supposethat the assumption (H2.1) or (H2.2) holds, then system (2.1) has atleast

one

positive$\omega$-periodic solution which is globallyasymptotically stable.

3

Permanence in

dispersal prey-predator

system

We introduce

an

exotic predator species $y$ into

some

patches which

were

occupied by native species $x$

.

Assumethat species$x$ and$y$ obey followingLotka-Volterra dispersal model

$i_{i}=x_{i}[b_{i}(t)-a:(t)x_{i}-c_{\mathrm{i}}(t)y_{i}]1$$\sum_{j=1}^{n}D_{\dot{l}j}(t)(x_{j}-x_{i})$

$j.i$ $=y_{\mathrm{i}}[-d_{i}(t)+e_{i}(t)x_{i}-f_{i}(t)y_{i}]+ \sum_{j=1}^{n}\lambda_{ij}(t)(y_{j}- )_{i})$ (3.1)

$i=1,2$,$\cdots$ ,$n$

.

where $y_{i}$ is the density ofspecies $y$ in patch$i$; the coefficients $d_{:}(t)$,$e_{i}(t)$,$\mathrm{c}_{t}(t)$

are

all nonnegative and

bounded continuous functions.$f_{i}(t)$,Dis(t) $\in C_{+}(i\neq j)$ and Dis$(t)\equiv 0.$

Theorem 3.1$[5].(\mathrm{A})$.Supposethatfollowing assumption (H3.1)or (H3.2) besatisfied,

(H3.1) There exists $\mathrm{i}\mathrm{o}(1\leq i_{0}\leq n)$such that$A_{L}(\theta_{1})>0,\mathrm{w}\mathrm{h}\mathrm{e}\mathrm{r}\mathrm{e}$ $i (t) $=$bio$( \mathrm{t})-c_{i_{0}}(t)N_{y}-\sum_{j=1}^{n}D_{\dot{w}j}(t)$,

(H3.2) $A_{L}(\gamma_{1})>0,\mathrm{w}\mathrm{h}\mathrm{e}\mathrm{r}\mathrm{e}$ $i(t)

$= \min_{1\leq\dot{|}\leq n}\{b_{i}(t)-c_{t}(t)N_{y}-\sum_{j=1}^{n}D_{ij}(t)+\sum_{j=1}^{n}D_{\mathrm{j}j}(t)\}$

.

where$N_{y}$ is the upper bound of$y_{i}(t)$

.

Then

prey

speciesispermanent.

$(\mathrm{B}).\mathrm{S}\mathrm{u}\mathrm{p}\mathrm{p}\mathrm{o}\mathrm{s}\mathrm{e}$further that following assumption (H3.3) or (H3.4) besatisfied,

(H3.3)There exists$\mathrm{i}\mathrm{o}(1\leq i_{0}\leq n)$ suchthat $A_{L}(\theta_{2})>0,\mathrm{w}\mathrm{h}\mathrm{e}\mathrm{r}\mathrm{e}$$i(t)

$=e_{i_{0}}(t) \zeta_{x\dot{\eta}}-d_{\dot{1}0}(t)-\sum_{j=1}^{n}\lambda_{\dot{*}\mathrm{o}j}(t)$,

(H3.4) $A_{L}(\gamma_{2})>$0,where $i(t)

$= \min_{1\leq i\leq n}$

{

$e:(t)\zeta_{xi}$ -$i$(t)- \sum_{j=1}^{n}\lambda_{\dot{\iota}j}(t)+\sum_{j=1}^{n}\lambda_{j:}(t)$

}.

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81

Example 3.1. Consider the followingperiodicand patchy predator-prey system

$\dot{x}_{1}$

$=x_{1}$ $(12+ \mathrm{z} \sin t-3x_{1}-y\mathrm{l})$ $\mathrm{f}$$D_{12}(t)(x_{2}-x_{1})$

$i_{2}=x_{2}(-1+ \frac{1}{4}\sin t-x_{2}-y_{2})+$D2i$\{\mathrm{t})(\mathrm{x}\mathrm{i}-x_{2})$

$\dot{y}_{1}=y_{1}(-1+\sin t+x_{1}-y_{1})+$Xi2(t)(y2 $-y_{1}$) (3.2)

$\mathrm{j}_{1}$$=y_{2}(-1+ \sin t+x_{2}-y_{2})$ $+$Xi2$(\mathrm{t})(\mathrm{y}2-y_{2})$.

Where $D_{12}(t)$,$D_{21}(t)$

,

$\lambda_{12}(t)\mathrm{a}\mathrm{n}\mathrm{d}\lambda_{21}(t)$ are all positive continuous and periodic functions with

common

period$2\pi$

.

Note that if the patches are isolated from each other($D_{12}(t)=D_{21}(t)=$

xi{t)

$=\lambda_{21}(t)=0),\mathrm{i}\mathrm{t}$ is

clearthatspecies $x$and $y$will go extinct in patch 2.

Given

anypositive solution $(x_{1}(t), x_{2}(t)$,$\mathrm{j}\mathrm{j}\mathrm{l}$$(t)$,112(t)$)$ of (3.2),wehave

$1_{2}^{1} \leq x_{2}(-1+\frac{\mathrm{i}}{4}\sin t-x_{2})+D_{21}(t)(x_{1}-x_{2})\leq x_{1}(12+\frac{1}{\mathrm{f}}\sin t-3x_{1})+D_{12}(t)(x_{2}-x_{1})$

. From the proof of Theorem$3.1,\mathrm{t}\mathrm{h}\mathrm{e}\mathrm{r}\mathrm{e}$exists$\tau_{1}>0,\mathrm{s}\mathrm{u}\mathrm{c}\mathrm{h}$that

$0<x_{i}(t)\leq$25/6,$0<y_{i}(t)\leq$ 53/12$(i=1,2)$

for

$t\geq\tau_{1}$

.

(3.3)

Consequently,

$i_{1}\geq x_{1}$($\frac{91}{12}+\frac{1}{4}\sin t-$3xi)$+D_{12}(t)(x_{2}-x_{1})$

$i_{2} \geq x_{2}(-\frac{65}{12}+\frac{1}{4}\sin t-x_{2})+$D2i$\{\mathrm{t})(\mathrm{x}\mathrm{i}-x_{2})$

for $t\geq\tau_{1}$

.

Furthermore,

$\dot{x}_{1}\geq x_{1}(\frac{22}{3}-D_{12}^{M}-3x_{1})$

thereexists $\tau_{2}$(r2 $\geq\tau_{1}$), such that

$x_{1}(t)> \frac{\frac{22}{3}-D_{12}^{\mathrm{A}\mathrm{f}}}{3}-\epsilon$

for

$t\geq\tau_{2}$

provided $D_{12}^{M}<$ 22/3,where $\epsilon$ be anypositive $\mathrm{n}$umber. $\mathrm{P}\mathrm{a}\mathrm{r}\mathrm{t}\mathrm{i}\mathrm{c}\mathrm{u}\mathrm{l}\mathrm{a}\mathrm{r}\mathrm{l}\mathrm{y},\mathrm{w}\mathrm{e}$call choose$D_{12}^{M}\leq 1$,$\epsilon=$ l/9,such

that$x_{1}(t)>2=\zeta_{x1}$ for$t\geq\tau_{2}$

.

According tothe proof of Theorem $2.2,\mathrm{t}\mathrm{h}\mathrm{e}\mathrm{r}\mathrm{e}$exist positiveconst-ants $\zeta_{x2}$ and $\tau_{3}(\tau_{3}\geq\tau_{2}),\mathrm{s}\mathrm{u}\mathrm{c}\mathrm{h}$that

$x_{2}(t)>\zeta_{x2}$ for $t\geq\tau_{3}$

.

Finally,

$\dot{y}_{1}\geq y_{1}(1+\sin t+x_{1}-y_{1})+\lambda_{12}(t)(y_{2}-y_{1})$

for $t\geq\tau_{3}$

.

By Theorem $2.2,\mathrm{t}\mathrm{h}\mathrm{e}\mathrm{r}\mathrm{e}$exist positiveconstants $\zeta_{y1}$,$\zeta_{y2}$ and T4(r4 $\geq\tau_{3}$) such that $y_{i}(t)\geq$ ;yi

for

$t\geq\tau_{4},i=1,2$

provided$A_{2\pi}(\lambda_{12})<1.$

To

sum

$\mathrm{u}\mathrm{p},\mathrm{u}\mathrm{n}\mathrm{d}\mathrm{e}\mathrm{r}$ the assumptions

$D_{12}^{M}\leq 1$ and $A_{2\pi}(\lambda_{12})<1$ (3.4)

the species$x$ and$y$

are

permanent.

Accordingto above$\mathrm{d}\mathrm{i}\mathrm{s}\mathrm{c}\mathrm{u}\mathrm{s}\mathrm{s}\mathrm{i}\mathrm{o}\mathrm{n},\mathrm{w}\mathrm{e}$knowthat people

can

avoid thelocal extinction ofthe endangered

species$x$ and$y$ in patch2by controlling the dispersal rates.

Next we study the followingsystem

$\dot{x}_{1}=x_{1}$[$b_{1}(t)-a_{1}(t)x_{1}$ -Cl$(\mathrm{t})\mathrm{y}$]$+D_{12}(t)x_{2}-$D2i$(\mathrm{t})\mathrm{x}\mathrm{l}$

$\dot{x}_{2}=x_{2}$[$b_{2}(t)-$a2$(t)x_{2}$]$+D_{21}(t)x_{1}-D_{12}(t)x_{2}$ (3.5)

$\dot{y}=y[-d(t)+e(t)x_{1}- (t)’-q(t)y(t-\tau)]$

.

$\mathrm{r}$ is

a

positive constant. For (3.5)

we

make the followingassumptions (3.3) $A_{\omega}[b_{1}(t)-D_{21}(t)]>0.$

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Theorem 3.1.[6] Under theassumption (H3.5),system (3.5) ispermanent if and only if

$(\# 3.6)$ $A_{\omega}[-d(t)+e(t)x_{1}^{*}(t)]>0.$

where $(x_{1}^{*}(t), x_{2}^{*}(t))$ be the positive periodicsolutionof the system

$i_{1}=x_{1}[b_{1}(t)-a_{1}(t)x_{1}]$$+D_{12}(t)x_{2}-D_{21}(t)x_{1}$ $\dot{x}_{2}=x_{2}[b_{2}(t)-a_{2}(t)x_{\mathit{2}}]$ $1$ $D_{21}(t)x_{1}-D_{12}(t)x_{2}$.

References

[1] L.J.S. Allen, Persistence,extinction,andcriticalpatchnumber for island populations,J. Math. Biol.,

24(1987), 617-625.

[2] E.Beretta and Y.Takeuchi,Global stability ofsingle speciesdiffusion Volterramodels with

continu-ous

time delays, $\mathrm{B}\mathrm{u}\mathrm{l}\mathrm{l}.\mathrm{M}\mathrm{a}\mathrm{t}\mathrm{h}.\mathrm{B}\mathrm{i}\mathrm{o}\mathrm{l}.,49(1987),431- 448$

.

[3] F.Cao and L.Chen, Asymptotic behavior of nonautonomous diffusive Lotka-Volterra

model,Syst.Sci.& Math.Sci. ,11(1998),107-111.

[4] J. Cui and L. Chen,The effect of diffusion

on

the time varying Logistic population growth,

Com-puters $\mathrm{M}\mathrm{a}\mathrm{t}\mathrm{h}.\mathrm{A}\mathrm{p}\mathrm{p}\mathrm{l}\mathrm{i}\mathrm{c}.,36(1998),1- 9$

.

[5] J. Cui andL. Chen, Permanentandextinctionin logistic andLotka-Volterrasystems with diffusion,

J. Math. Anal. Appl., 258(2001), 512-535.

[6] J. Cui ,The effect of dispersal

on

permanence in a predator-prey population growthmodel,

Com-puters Math.Applic. ,44(2002),1085-1097.

[7] H.I.Freedman and P.Waltman, Mathematical models of population interaction with dispersal.

I.Stabilityof two habitats with and without a predator, SIAM J. Math. ,32(1977), 631-648.

[8]

S.

Levin and L.A.Segel, Hypothesis to explain the origin of planktonic patchness, Nature, 259(1976),

659.

[9] J.D.Skellam,Random dispersal in theoretical population,Biometrika, 38(1951),196-216.

[10] Y.Takeuchi, Global Dynamical Properties ofLotka-Volterra Systems, World Scientific, Singapore,

1996.

[11] Y.Takeuchi, Cooperative system theoryandglobal stabilityofdiffusion models, ActaAppl. Math.,

14(1989),

49-57.

[12] $\mathrm{Y}.\mathrm{T}\mathrm{a}\mathrm{k}\mathrm{u}\mathrm{c}\mathrm{h}\mathrm{i},\mathrm{D}\mathrm{i}\mathrm{f}\mathrm{f}\mathrm{f}\mathrm{f}\mathrm{u}\mathrm{s}\mathrm{i}\mathrm{o}\mathrm{n}$-mediated persistence in tw0-species

co

mpetition Lotka-Volterra

model,Math.Biosci., 95(1989), 65-83.

[13] W.Wang and L.Chen, Global stability of

a

population Dispersal in a Two patch

Environ-lnent,Dynamic Systemsand Applications, $6(1997)$,

207-216.

[14] Y.Xun, State, disturbance and devolopment of Chinese

Giant

Pandas, Chinese Wildlife, (1990),

9-11.

[15] Y. Zhou, Analysis

on

decline of wild Alligator Sinensis population,

Sichuan

Journal of Zoology,

16(1997),

137-139.

where $(x_{1}^{*}(t), x_{2}^{*}(t))$ be the positive periodicsolutionof the system

$\dot{x}_{1}=x_{1}[b_{1}(t)-a_{1}(t)x_{1}]+D_{12}(t)x_{\mathit{2}}-D_{21}(t)x_{1}$ $\dot{x}_{2}=x_{2}[b_{2}(t)-a_{2}(t)x_{\mathit{2}}]+D_{21}(t)x_{1}-D_{12}(t)x_{2}$.

References

[1] L.J.S. Allen, Persistence,extinction,andcriticalpatchnumber for island populations,J. Math. Biol.,

24(1987), 617-625.

[2] E.Beretta and Y.Takeuchi,Global stability ofsingle-speciesdiffusion Volterramodels with

continu-ous

time delays, $\mathrm{B}\mathrm{u}\mathrm{l}\mathrm{l}.\mathrm{M}\mathrm{a}\mathrm{t}\mathrm{h}.\mathrm{B}\mathrm{i}\mathrm{o}\mathrm{l}.,49(1987),431- 448$

.

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