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Dynamical Analysis of a Delayed PredatorPrey System with Birth Pulse and Impulsive Harvesting at Different Moments
Advances in Difference Equations volumeÂ 2010, ArticleÂ number:Â 954684 (2010)
Abstract
We consider a delayed Holling type II predatorprey system with birth pulse and impulsive harvesting on predator population at different moments. Firstly, we prove that all solutions of the investigated system are uniformly ultimately bounded. Secondly, the conditions of the globally attractive preyextinction boundary periodic solution of the investigated system are obtained. Finally, the permanence of the investigated system is also obtained. Our results provide reliable tactic basis for the practical biological economics management.
1. Introduction
Theories of impulsive differential equations have been introduced into population dynamics lately [1, 2]. Impulsive equations are found in almost every domain of applied science and have been studied in many investigation [3â€“11], they generally describe phenomena which are subject to steep or instantaneous changes. In [11], Jiao et al. suggested releasing pesticides is combined with transmitting infective pests into an SI model. This may be accomplished using selecting pesticides and timing the application to avoid periods when the infective pesticides would be exposed or placing the pesticides in a location where the transmitting infective pests would not contact it. So an impulsive differential equation to model the process of releasing infective pests and spraying pesticides at different fixed moment was represented as
The biological meaning of the parameters in System (1.1) can refer to Literature [11].
Clack [12] has studied the optimal harvesting of the logistic equation, a logistic equation without exploitation as follows:
where represents the density of the resource population at time , is the intrinsic growth rate. the positive constant is usually referred as the environmental carrying capacity or saturation level. Suppose that the population described by logistic equation (1.1) is subject to harvesting at rate or under the catchperunit effort hypothesis . Then the equations of the harvested population revise, respectively, as following
or
where denotes the harvesting effort.
Moreover, in most models of population dynamics, increase in population due to birth are assumed to be time dependent, but many species reproduce only during a period of the year. In between these pulses of growth, mortality takes its toll, and the population decreases. In this paper, we suggest impulsive differential equations to model the process of periodic birth pulse and impulsive harvesting. Combining (1.2) and (1.4), we can obtain a single population model with birth pulse and impulsive harvesting at different moments
where is the density of the population. is the death rate. The population is birth pulse as intrinsic rate of natural increase and density dependence rate of predator population are denoted by , respectively. The pulse birth and impulsive harvesting occurs every period ( is a positive constant). . represents the birth effort of predator population at ,â€‰â€‰,â€‰â€‰. â€‰ represents the harvesting effort of predator population at ,â€‰â€‰.
But in the natural world, there are many species (especially insects) whose individual members have a life history that takes them through two stages, immature and mature. In [13], a stagestructured model of population growth consisting of immature and mature individuals was analyzed, where the stagestructured was modeled by introduction of a constant time delay. Other models of population growth with time delays were considered in [3, 5â€“7, 13]. The following single species stagestructured model was introduced by Aiello and Freedman [14] as follows:
where represent the immature and mature populations densities, respectively, represents a constant time to maturity, and and are positive constants. This model is derived as follows. We assume that at any time , birth into the immature population is proportional to the existing mature population with proportionality constant . We then assume that the death rate of immature population is proportional to the existing immature population with proportionality constant . We also assume that the death rate of mature population is of a logistic nature, that is, proportional to the square of the population with proportionality constant . In this paper, we consider a delayed Holling type II predatorprey system with birth pulse and impulsive harvesting on predator population at different moments.
The organization of this paper is as follows. In the next section, we introduce the model. In Section 3, some important lemmas are presented. In Section 4, we give the globally asymptotically stable conditions of preyextinction periodic solution of System (2.1), and the permanent condition of System (2.1). In Section 5, a brief discussion is given in the last section to conclude this paper.
2. The Model
In this paper, we consider a delayed Holling type II predatorprey model with birth pulse and impulsive harvesting on predator population at different moments
the initial conditions for (2.1) are
where represent the densities of the immature and mature prey populations, respectively. represents the density of predator population. is the intrinsic growth rate of prey population. represents a constant time to maturity. is the natural death rate of the immature prey population. is the natural death rate of the mature prey population. is the natural death rate of the predator population. The predator population consumes prey population following a Holling typeII functional response with predation coefficients , and halfsaturation constant . is the rate of conversion of nutrients into the reproduction rate of the predators. The predator population is birth pulse as intrinsic rate of natural increase and density dependence rate of predator population are denoted by , respectively. The pulse birth and impulsive harvesting occurs every period ( is a positive constant). . represents the birth effort of predator population at , , . represents the harvesting effort of predator population at , . In this paper, we always assume that .
Before going into any details, we simplify model (2.1) and restrict our attention to the following model:
the initial conditions for (2.3) are
3. The Lemma
Before discussing main results, we will give some definitions, notations and lemmas. Let , . Denote the map defined by the right hand of system (2.1). Let then is said to belong to class , if

(i)
is continuous in and , for each , , and exist.

(ii)
is locally in .
Definition 3.1.
, then for and , the upper right derivative of with respect to the impulsive differential system (2.1) is defined as
The solution of (2.1), denote by , is a piecewise continuous function :, is continuous on and , . Obviously, the global existence and uniqueness of solutions of (2.1) is guaranteed by the smoothness properties of , which denotes the mapping defined by rightside of system (2.1) Lakshmikantham et al. [1]. Before we have the the main results. we need give some lemmas which will be used as follows.
Now, we show that all solutions of (2.1) are uniformly ultimately bounded.
Lemma 3.2.
There exists a constant such that , , for each solution of (2.1) with all large enough.
Proof.
Define .
(i)If , then , when , we have
When
For convenience, we make a notation as . When
From [17, Lemma Page ] for and , we have
â€‰(ii) If , then , we can easily obtain
â€‰So is uniformly ultimately bounded. Hence, by the definition of , there exists a constant such that , for large enough. The proof is complete.
If , we have the following subsystem of System (2.1):
We can easily obtain the analytic solution of System (3.7) between pulses, that is,
Considering the last two equations of system (3.7), we have the stroboscopic map of System (3.7) as follows:
The are two fixed points of (3.9) are obtained as and , where
Lemma 3.3.

(i)
If , the fixed point is globally asymptotically stable;

(ii)
if , the fixed point is globally asymptotically stable.
Proof.
For convenience, make notation , then Difference equation (3.9) can be rewritten as

(i)
If , is the unique fixed point, we have
(3.12)then is globally asymptotically stable.

(ii)
If , is unstable. For
(3.13)then is globally asymptotically stable. This complete the proof.
It is well known that the following lemma can easily be proved.
Lemma 3.4.

(i)
If , the triviality periodic solution of System (3.7) is globally asymptotically stable;

(ii)
if , the periodic solution of System (3.7)
(3.14)
is globally asymptotically stable. Here,
Lemma 3.5 (see [â€‰22]).
Consider the following delay equation:
one assumes that ; for . Assume that . Then
4. The Dynamics
In this section, we will firstly obtain the sufficient condition of the global attractivity of preyextinction periodic solution of System (2.1) with (2.2).
Theorem 4.1.
If
hold, the preyextinction solution of System (2.1) with (2.2) is globally attractive
Proof.
It is clear that the global attraction of preyextinction periodic solution of System (2.1) with (2.2) is equivalent to the global attraction of preyextinction periodic solution of System (2.3). So we only devote to System (2.3) with (2.4). Since
we can choose sufficiently small such that
It follows from that the second equation of System (2.3) with (2.4) that . So we consider the following comparison impulsive differential system:
In view of Condition (4.1) and Lemma 3.4, we obtain that the periodic solution of System (4.6)
is globally asymptotically stable. Here,
By the comparison theorem of impulsive equation (see [13, Theorem ]), we have and as . Then there exists an integer , such that
that is
From (2.3), we get
Consider the following comparison differential system:
from (4.5), we have . According to Lemma 3.5, we have .
Let be the solution of system (2.3) with initial conditions (2.4) and , is the solution of system (4.12) with initial conditions . By the comparison theorem, we have . Incorporating into the positivity of , we know that
Therefore, for any (sufficiently small), there exists an integer such that for all .
For System (2.3), we have
then we have and , as , while and are the solutions of
, respectively,
Here,
Therefore, for any . there exists a integer , such that
Let , so we have
for large enough, which implies as . This completes the proof.
The next work is to investigate the permanence of the system (2.4). Before starting our theorem, we give the definition of permanence of system (2.4).
Definition 4.2.
System (2.1) is said to be permanent if there are constants (independent of initial value) and a finite time such that for all solutions with all initial values , , , , , holds for all . Here may depend on the initial values .
Theorem 4.3.
If
then there is a positive constant such that each positive solution of (2.3) with (2.4) satisfies
for large enough, where is determined as the following equation:
Proof.
The first equation of System (2.3) can be rewritten as
Let us consider any positive solution of System (2.3). According to(4.23), is defined as
We calculate the derivative of along the solution of (2.3) as follows:
Equation (4.25) can also be written
We claim that for any , it is impossible that for all . Suppose that the claim is not valid. Then there is a such that for all . It follows from the second equation of System (2.3) that for all ,
Consider the following comparison impulsive system for all
By Lemma 3.4, we obtain
is the unique positive periodic solution of (4.28) which is globally asymptotically stable, where
By the comparison theorem for impulsive differential equation [1, 2], we know that there exists such that the following inequality holds for :
Thus,
for all . For convenience, we make notation as . From (4.20), we can choose a such that have
By (4.26), we have
for all . Set
We will show that for all . Suppose the contrary. Then there is a such that for and . Hence, the first equation of system (2.3) and (4.33) imply that
This is a contradiction. Thus, for all . As a consequence, (4.26) and (4.33) lead to
for all . This implies that as , . It is a contradiction to . Hence, the claim is complete.
By the claim, we are left to consider two case. First, for all large enough. Second, oscillates about for large enough.
Define
where . We hope to show that for all large enough. The conclusion is evident in first case. For the second case, let and satisfy and for all where is sufficiently large such that
is uniformly continuous. The positive solutions of (2.3) are ultimately bounded and is not affected by impulses. Hence, there is a and is dependent of the choice of such that for . If , there is nothing to prove. Let us consider the case . Since and , it is clear that for . Then, proceeding exactly as the proof for the above claim. We see that for . Because the kind of interval is chosen in an arbitrary way ( we only need to be large). We concluded for all large . In the second case. In view of our above discussion, the choice of is independent of the positive solution, and we proved that any positive solution of (2.3) satisfies for all sufficiently large . This completes the proof of the theorem.
From Theorems 4.1 and 4.3, we can easily obtain the following theorem.
Theorem 4.4.
If
then System (2.1) with (2.2) is permanent, where is determined as the following equation:
5. Discussion
In this paper, considering the fact of the biological source management, we consider a delayed Holling type II predatorprey system with birth pulse and impulsive harvesting on predator population at different moments. We prove that all solutions of System (2.1) with (2.2) are uniformly ultimately bounded. The conditions of the globally attractive preyextinction boundary periodic solution of System (2.1) with (2.2) are obtained. The permanence of the System (2.1) with (2.2) is also obtained. The results show that the successful management of a renewable resource is based on the concept of a sustain yield, that is, an exploitation does not the threaten the longterm persistence of the species. Our results provide reliable tactic basis for the practical biological resource management.
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Acknowledgments
This work was supported by National Natural Science Foundation of China (no. 10961008), the Nomarch Foundation of Guizhou Province (no. 2008035), the Science Technology Foundation of Guizhou Education Department (no. 2008038), and the Science Technology Foundation of Guizhou (no. 2010J2130).
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Jiao, J., Chen, L. Dynamical Analysis of a Delayed PredatorPrey System with Birth Pulse and Impulsive Harvesting at Different Moments. Adv Differ Equ 2010, 954684 (2010). https://doi.org/10.1155/2010/954684
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DOI: https://doi.org/10.1155/2010/954684