Abstract

A stage-structured three-species predator-prey model with Beddington-DeAngelis and Holling II functional response is introduced. Based on the comparison theorem, sufficient and necessary conditions which guarantee the predator and the prey species to be permanent are obtained. An example is also presented to illustrate our main results.

1. Introduction

The aim of this paper is to investigate the permanence of the following periodic stage-structure predator-prey system with Beddington-DeAngelis and Holling II functional response:where , and are all continuous positive -periodic functions. Here, and denote the density of immature and mature prey species at time respectively, represents the density of the predator that preys on immature prey, and represents the density of the other predator that preys on mature prey at time

The birth rate into the immature population is given by , that is, it is assumed to be proportional to the existing mature population, with a proportionality coefficient The death rate of the immature population is proportional to the existing immature population and to its square with coefficients and respectively. The death rate of the mature population is of a logistic nature, that is, it is proportional to the square of the population with a proportionality The transition rate from the immature individuals to the mature individuals is assumed to be proportional to the existing immature population, with a proportionality coefficient Similarly, and give the density dependent death rate of the two predators, respectively. and are the capturing rate of the two predators, respectively. and are the rate of conversion of nutrients into the reproduction of the two mature predators, respectively.

The functional response of predator species to immature prey species takes the Beddington-DeAngelis form, that is, It was introduced by Beddington [1] and DeAngelis et al. [2] independently in 1975. It is similar to the well-known Holling type II functional response but has an extra term in the denominator which models mutual interference between predators. The Beddington-DeAngelis form of functional response has some of the same qualitative features as the ratio-dependent models form but avoids some of the same behaviors of ratio-dependent models at low densities which have been the source of controversy. The function represents the functional response of predator to mature prey, which is called Holling type II function or Michaelis-Menten function. Holling type II is the second function that Holling proposed three kinds of functional response of the predator to prey based on numerous experiments for different species. The Holling type form of functional response is intituled prey-dependent model form. It is applied to almost invertebrate that is one of the most extensive applied functional responses.

Cui and Song [3] proposed the following predator-prey model with stage structure for prey:They obtained a set of sufficient and necessary conditions which guarantee the permanence of the system. For more back ground and the relevant work on system (1.2), one could refer to [36] and the references cited therein. Recently, Chen [7, 8] and Yang [9] consider the functional response of the predator to immature prey species. Lin and Hong [10] consider a biological model for two predators and one prey with periodic delays.

In reality, mature prey was also consumed by some predators. Different predator usually consumes prey in different stage structure. Some predators only prey on immature prey, and some predators only prey on mature prey. There is different functional response in different predator. So, we add a predator species which consumes mature prey to the model (1.2). By assuming that one predator consumes immature prey according to the Beddington-DeAngelis functional response while the other predator consumes mature prey according to Holling II functional response, we get model (1.1). In the resource limited environment, could the wild animals be coexistence for long-term under the animals' law of the jungle? To keep the biology's variety of the nature, the permanence of biotic population is a significant and comprehensive problem in biomathematics. So, it is meaningful to investigate the permanence of the model (1.1).

The aim of this paper is, by further developing the analysis technique of Cui [3, 11], to derive a set of sufficient and necessary conditions which ensure the permanence of the system (1.1). The rest of the paper is arranged as follows. In Section 2, we introduce some lemmas and then state the main result of this paper. The result is proved in Section 3. In Section 4, we give an example which shows the feasibility of our result. The last section is devoted to make some explanation on the biological meaning of our result.

Throughout this paper, for a continuous -periodic function we set

2. Main Result

In this section, we introduce a definition and some lemmas which will be useful in subsequent sections and state the main result.

Definition 2.1. System (1.1) is said to be permanent if there exist positive constants , and , such that each positive solution of the system (1.1) with any positive initial value fulfills for all where may depend on

Lemma 2.2 (see [12]). If , , , and are all -periodic, then system has a positive -periodic solution which is globally asymptotically stable with respect to

Lemma 2.3 (see [13]). If and are all -periodic, and if and for all , then the system has a positive -periodic solution which is globally asymptotically stable.

Now, we state the main result of this paper.

Theorem 2.4. System (1.1) is permanent if and only if where is the unique positive periodic solution of system (2.1) given by Lemma 2.2.

3. Proof of the Main Result

We need the following propositions to prove Theorem 2.4. The hypothesis of the lemmas and theorem of the preceding section is assumed to hold in what follows.

Proposition 3.1. There exist positive constants and such that for all solution of system (1.1) with positive initial values.

Proof. Obviously, is a positively invariant set of system (1.1). Given any solution of system (1.1), we haveBy Lemma 2.2, the following auxiliary equation:has a globally asymptotically stable positive -periodic solution Let be the solution of (3.3) with By comparison theorem, we then havefor By (2.3), we can choose positive small enough such thatThus, from the global attractivity of for the above given there exists a such thatInequality (3.4) combined with (3.6) leads toLet we haveIn addition, for from the third and fourth equations of (1.1) and (3.7) we getConsider the following auxiliary equation:It follows from (3.5) and Lemma 2.3 that (3.10) has a unique positive -periodic solution which is globally asymptotically stable. Similar to the above analysis, there exists a such that for the above , one hasLet , then we haveThis completes the proof of Proposition 3.1.

Proposition 3.2. There exist positive constants , such that

Proof. By Proposition 3.1, there exists such thatHence, from the first and second equations of system (1.1), we havefor . By Lemma 2.2, the following auxiliary equation:has a globally asymptotically stable positive -periodic solution Let be the solution of (3.16) with by comparison theorem, we haveThus, from the global attractivity of there exists a such thatInequality (3.18) combined with (3.17) leads toAnd soThe proof of Proposition 3.2 is complete.

Proposition 3.3. Suppose that (2.3) holds, then there exist positive constants , , such that any solution of system (1.1) with positive initial value satisfies

Proof. By Assumption (2.3), we can choose constant (without loss of generality, we may assume that where is the unique positive periodic solution of system (2.1)) such thatwhereConsider the following equations with a parameter : By Lemma 2.2, the system (3.24) has a unique positive -periodic solution which is globally attractive. Let be the solution of (3.24) with initial condition Hence, for above , there exists a sufficiently large such thatBy the continuity of the solution in the parameter, we have uniformly in as Hence, for there exists a such thatSo, we haveSince and are all -periodic, we haveChoosing a constant we haveSuppose that Conclusion (3.21) is not true. Then, there exists such that, for the positive solution of (1.1) with an initial condition we haveSo, there exists such thatBy applying (3.31), from the first and second equations of system (1.1) it follows that for all Let be the solution of (3.24) with and thenBy the global asymptotic stability of for the given , there exists such thatSo,and hence, by using (3.29), we getTherefore, by (3.31) and (3.36), we havefor . Integrating (3.37) from to yieldsThus, from (3.22) we know that It follows that as . It is a contradiction. This completes the proof.

Proposition 3.4. Suppose that (2.3) holds, then there exist positive constants , such that any solution of system (1.1) with positive initial value satisfies

Proof. Suppose that (3.39) is not true, then there exists a sequence such thatOn the other hand, by Proposition 3.3, we haveHence, there are time sequences and satisfyingBy Proposition 3.1, for a given positive integer , there is a such that for all Because of as there is a positive integer such that as hencefor Integrating (3.44) from to yieldsorThus, from the boundedness of we haveBy (3.22) and (3.47), there are constants and such thatfor , and Inequality (3.48) implies thatfor In addition, from (3.43) and (3.50) we havefor Let be the solution of (3.24) with and then by applying comparison theorem, we haveFurther, by using Propositions 3.1 and 3.2, there exists an enough large such thatfor For , (3.24) has a unique positive -periodic solution which is globally asymptotically stable. In addition, by the periodicity of (3.24), the periodic solution is uniformly asymptotically stable with respect to the compact set Hence, for given in Proposition 3.3, there exists which is independent of and such thatThus, by using (3.29), we getBy (3.47), there exists a positive integer such that for and So, we havewhere and Hence, by using (3.50) and (3.56), from the third and fourth equations of system (1.1), we haveIntegrating the above inequalities from to , we havethat isThese are contradictions. This completes the proof of Proposition 3.4.

Proof of Theorem 2.4. The sufficiency of Theorem 2.4 now follows from Propositions 3.13.4. We thus only need to prove the necessity of Theorem 2.4. Suppose thatWe will show thatIn fact, by (3.60), we know that, for any given positive constant there exist , , such thatSinceWe know that, for above there exists a such thatIt follows from (3.62) and (3.64) that for
First, we show that there exists a such that Otherwise, by (3.65), we haveas Similarly, we havewhich are contradictions.
Second, we now show thatwhereis a bounded constant for Otherwise, there exists a such thatBy the continuity of there must exist such that and for Let be the nonnegative integer such that By the first inequality of (3.65), we haveSimilarly, by the second inequality of (3.65), we havewhich are contradictions. These imply that (3.68) holds. By the arbitrariness of it immediately follows that as This completes the proof of Theorem 2.4.

4. Example

Consider the following predator-prey system:

In this case, corresponding to system (1.1), one has , , , , , , , , , , , , , .

One could easily see that has a unique positive periodic solution that is, in this case, the positive periodic solution is the positive equilibrium. By simple computation, one hasHence, corresponding to Theorem 2.4, we know that system (4.1) is permanent.

5. Conclusion

In this paper, a model which describes the nonautonomous periodic predator-prey system with Beddington-DeAngelis and Holling II functional response and stage structure for prey is proposed. Under Assumption (2.3), sufficient and necessary conditions which guarantee the predator and the prey species to be permanent are obtained.

The results of this paper suggest the following biological implication. Note that is the globally asymptotically stable periodic solution of system (1.1) without predation, which, as showed by Lemma 2.2, always exists. Hence, condition (2.3) implies that if the death rate of the two predator species is all small enough and the growth by foraging minus the death for the second predator is sufficiently high, the system is permanent.

Acknowledgment

This work is supported by the Natural Science Foundation of Gansu Province (3ZS062-B25-019).