The Dynamics of Two Harvesting Species with variable Effort Rate with the Optimum Harvest Policy

Similar documents
ON THE STABILITY OF DELAY POPULATION DYNAMICS RELATED WITH ALLEE EFFECTS. O. A. Gumus and H. Kose

Available online at Pelagia Research Library. Advances in Applied Science Research, 2011, 2 (3):

Bioeconomic modelling of a prey predator system using differential algebraic equations

Contraction Mapping Principle Approach to Differential Equations

5.1-The Initial-Value Problems For Ordinary Differential Equations

A MATHEMATICAL MODEL OF FOUR SPECIES SYN-ECOSYMBIOSIS COMPRISING OF PREY-PREDATION, MUTUALISM AND COMMENSALISMS-I (FULLY WASHED OUT STATE)

September 20 Homework Solutions

Convergence of Singular Integral Operators in Weighted Lebesgue Spaces

Application on Inner Product Space with. Fixed Point Theorem in Probabilistic

Solutions for Nonlinear Partial Differential Equations By Tan-Cot Method

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE BOUNDARY-VALUE PROBLEM

Procedia Computer Science

The solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6.

Tax Audit and Vertical Externalities

Asymptotic relationship between trajectories of nominal and uncertain nonlinear systems on time scales

A Prey-Predator Model with an Alternative Food for the Predator and Optimal Harvesting of the Prey

Motion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration.

Green s Functions and Comparison Theorems for Differential Equations on Measure Chains

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function

..,..,.,

Solutions to Problems from Chapter 2

Necessary and Sufficient Conditions for Asynchronous Exponential Growth in Age Structured Cell Populations with Quiescence

Inventory Management Models with Variable Holding Cost and Salvage value

Estimating the population parameter, r, q and K based on surplus production model. Wang, Chien-Hsiung

0 for t < 0 1 for t > 0

A Kalman filtering simulation

A Time Truncated Improved Group Sampling Plans for Rayleigh and Log - Logistic Distributions

4.8 Improper Integrals

3. Renewal Limit Theorems

A new model for solving fuzzy linear fractional programming problem with ranking function

e t dt e t dt = lim e t dt T (1 e T ) = 1

Think of the Relationship Between Time and Space Again

GENERALIZATION OF SOME INEQUALITIES VIA RIEMANN-LIOUVILLE FRACTIONAL CALCULUS

Average & instantaneous velocity and acceleration Motion with constant acceleration

Systems Variables and Structural Controllability: An Inverted Pendulum Case

S Radio transmission and network access Exercise 1-2

Some Inequalities variations on a common theme Lecture I, UL 2007

Abdul-Aziz Yakubu. Department of Mathematics Howard University Washington, D.C

A LIMIT-POINT CRITERION FOR A SECOND-ORDER LINEAR DIFFERENTIAL OPERATOR IAN KNOWLES

How to prove the Riemann Hypothesis

MATH 124 AND 125 FINAL EXAM REVIEW PACKET (Revised spring 2008)

Bifurcation Analysis of a Stage-Structured Prey-Predator System with Discrete and Continuous Delays

EXERCISE - 01 CHECK YOUR GRASP

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q).

Journal of Mathematical Analysis and Applications. Two normality criteria and the converse of the Bloch principle

New Energy-Preserving Finite Volume Element Scheme for the Korteweg-de Vries Equation

A new model for limit order book dynamics

Temperature Rise of the Earth

The order of reaction is defined as the number of atoms or molecules whose concentration change during the chemical reaction.

1.0 Electrical Systems

A PREY-PREDATOR MODEL WITH AN ALTERNATIVE FOOD FOR THE PREDATOR AND OPTIMAL HARVESTING OF THE PREDATOR

Solutions to Assignment 1

Minimum Squared Error

Minimum Squared Error

Fault-Tolerant Guaranteed Cost Control of Uncertain Networked Control Systems with Time-varying Delay

Physics 2A HW #3 Solutions

2k 1. . And when n is odd number, ) The conclusion is when n is even number, an. ( 1) ( 2 1) ( k 0,1,2 L )

CBSE 2014 ANNUAL EXAMINATION ALL INDIA

Yan Sun * 1 Introduction

Differential Equations

Vibrations of a Parametrically and Self-Excited System with Ideal and Non-Ideal Energy Sources

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 2

LAPLACE TRANSFORM OVERCOMING PRINCIPLE DRAWBACKS IN APPLICATION OF THE VARIATIONAL ITERATION METHOD TO FRACTIONAL HEAT EQUATIONS

Soliton Scattering on the External Potential in Weakly Nonlocal Nonlinear Media

How to Prove the Riemann Hypothesis Author: Fayez Fok Al Adeh.

REAL ANALYSIS I HOMEWORK 3. Chapter 1

Positive and negative solutions of a boundary value problem for a

Analytic solution of linear fractional differential equation with Jumarie derivative in term of Mittag-Leffler function

f t f a f x dx By Lin McMullin f x dx= f b f a. 2

Hermite-Hadamard-Fejér type inequalities for convex functions via fractional integrals

ON PREY-PREDATOR MODEL WITH HOLLING-TYPE II AND LESLIE-GOWER SCHEMES AHMED BUSERI ASHINE

ON THE OSTROWSKI-GRÜSS TYPE INEQUALITY FOR TWICE DIFFERENTIABLE FUNCTIONS

CALDERON S REPRODUCING FORMULA FOR DUNKL CONVOLUTION

An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples.

(b) 10 yr. (b) 13 m. 1.6 m s, m s m s (c) 13.1 s. 32. (a) 20.0 s (b) No, the minimum distance to stop = 1.00 km. 1.

NEW FRACTIONAL DERIVATIVES WITH NON-LOCAL AND NON-SINGULAR KERNEL Theory and Application to Heat Transfer Model

New Inequalities in Fractional Integrals

Controllability of an eco-epidemiological system with disease transmission delay: A theoretical study

Advances in Intelligent Systems Research, volume 136 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)

On the Pseudo-Spectral Method of Solving Linear Ordinary Differential Equations

IX.2 THE FOURIER TRANSFORM

ADVANCED MATHEMATICS FOR ECONOMICS /2013 Sheet 3: Di erential equations

A Prey-Predator Model with a Reserved Area

Economic integration and agglomeration in a customs union in the presence of an outside region

Signal and System (Chapter 3. Continuous-Time Systems)

Mathematics 805 Final Examination Answers

Chapter Direct Method of Interpolation

Simulation study on giant panda population dynamics model with due consideration for deforestation

1 Sterile Resources. This is the simplest case of exhaustion of a finite resource. We will use the terminology

A Simple Method to Solve Quartic Equations. Key words: Polynomials, Quartics, Equations of the Fourth Degree INTRODUCTION

Probability, Estimators, and Stationarity

SOLUTION FOR A SYSTEM OF FRACTIONAL HEAT EQUATIONS OF NANOFLUID ALONG A WEDGE

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation:

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems

Chapter 2. First Order Scalar Equations

1. Find a basis for the row space of each of the following matrices. Your basis should consist of rows of the original matrix.

Honours Introductory Maths Course 2011 Integration, Differential and Difference Equations

Math 2214 Solution Test 1A Spring 2016

Abstract. W.W. Memudu 1 and O.A. Taiwo, 2

Development of a New Scheme for the Solution of Initial Value Problems in Ordinary Differential Equations

Transcription:

Inernionl OPEN ACCESS Journl Of Modern Engineering Reserch (IJMER) The Dynmics of Two Hrvesing Species wih vrible Effor Re wih he Opimum Hrves Policy Brhmpl Singh; nd Professor Suni Gkkhr; Deprmen of Mhemics, J.V.JAIN College Shrnpur (UP) 47; Indi; Deprmen of Mhemics, Indin Insiue of Technology Roorkee, Roorkee 47667, Indi ABSTRACT: The dynmics of wo ecologiclly independen species which re being hrvesed wih vrible effor hve been discussed. The dynmics of effor is considered seprely. The locl nd globl dynmics of he sysem is sudied. The exisence of Hopf bifurcion wih respec o he ol cos of fishing is invesiged. The co-exisence of species in he form of sble equilibrium poin nd limi cycle is possible. The qusi-periodic behvior is lso possible for some choices of prmeers. An expression for Opimum populion level hs been obined. I. INTRODUCTION Exploiion of biologicl resources s prciced in fishery, nd foresry hs srong impc on dynmic evoluion of biologicl populion. The over exploiion of resources my led o exincion of species which dversely ffecs he ecosysem. However, resonble nd conrolled hrvesing is beneficil from economicl nd ecologicl poin of view. The reserch on hrvesing in predor-prey sysems hs been of ineres o economiss, ecologiss nd nurl resource mngemen for some ime now. The opiml mngemen of renewble resources hs been exensively sudied by mny uhors [,, 3, 7, 8, ]. The mhemicl specs of mngemen of renewble resources hve been discussed by []. He hd invesiged he opimum hrvesing of logisiclly growing species. The problem of combined hrvesing of wo ecologiclly independen species hs been sudied [, 3]. The effecs of hrvesing on he dynmics of inercing species hve been sudied Meseron-Gibbons [4], Chudhuri e.l. [6-9] wih consn hrvesing, he prey predor model is found o hve ineresing dynmicl behvior including sbiliy, Hopf bifurcion nd limi cycle [4, 5,, 5]. The muli species food web models hve found o hve rich dynmicl behvior [6, 8]. S Kumr e. l. [7] hve invesiged he hrvesing of predor species preding over wo preys. In his pper he dynmics of wo ecologiclly independen species which re being hrvesed hve been discussed when he dynmics of effor is considered seprely. II. THE MATHEMATICAL MODEL Consider wo independen biologicl species wih densiies Xnd Xwih logisic growh. The Mhemicl model of wo hrvesing prey species wih effor re is given by he following sysem of ordinry differenil equions: dx X A q XE r X X f( X, X, E) dt K B X B X dx X Aq EX r X X f( X, X, E) dt K B X B X de pq A X pqa X E h( X, X ) C Ek C Ef3( X, X ) dt B X B X The logisic growh is considered for he wo preys. The model does no consider ny direc compeiion beween he wo populions. The consns () K,r, A, nd B, re model prmeers ssuming i i i i only posiive vlues. The effor E is pplied o hrves boh he species nd C is ol cos of fishing. The IJMER ISSN: 49 6645 www.ijmer.com Vol. 5 Iss. 8 Augus 5 6

hrvesing is proporionl o he produc of effor E nd he fish populion densiy X i.the cch-biliy coefficiens q i re ssumed o be differen for he wo species. In he model, he hird equion considers he dynmics of effor E. The consns p nd p re he price of he per uni prey species. The ls equion of () implies h he re of increse of he effor is proporionl o he re of ne economic revenue. The consn k is he proporionliy consn. Le he consn M is he reference vlue of E. Inroduce he following dimensionless rnsformions: rt, y X K ( i,), x E M, w A q E r, w B K, w B K i i i 3 w r r, w A q M r, w kk M, w kk M ; 4 5 6 7 The dimensionless nonliner sysem is obined s: dy wx y y y f( y, y, x) d w y w3 y dy w5x y ( y) w4 y f( y, y, x) d w y w3 y dx p w w y p w w y d w y w y 6 5 7 x C xf3 y y 3 (, ) III. EXISTENCE OF EQUILIBRIUM POINTS Since y ; i,, he underlying non-liner model () is bounded nd hs unique soluion. i There re mos seven possible equilibrium poins of he nonliner hrvesing model:,,,,,,,,,,, E E E E, 3 E6 y, y, x. Theorem 3. The equilibrium poin 4 E y,, x, x ( y )( w y ) w ; y C ( w p w Cw ) 4 6 E, y, x, x w (- y )( w y ) w ; y C ( w p w - Cw ), 5 4 3 5 5 7 3 6 is fesible only when C w p w ( w ) (3) Theorem 3. The equilibrium poin E 5, y, x 5 7 3 is fesible only when C w p w ( w ) (4) The proofs of he wo heorems re srighforwrd s y ; i, i. Theorem 3.3 The posiive non-zero equilibrium E 6 of nonliner hrvesing model () exiss provided he following condiions re sisfied: C w p w w ; C w p w w (5) 6 5 7 3 Proof: Proof is given in [6]; he equilibrium poins re x (- y )( w y w y ) w y 3 ( w w w )( w p w Cw ) Cw w ( ) ( ) Cw -( w - w w )( w p w - Cw ) w ( w p w - Cw ) w w ( w p w - Cw ) 5 4 7 5 3 4 w5 w7 pw5 Cw3 ww 4 w pw 6 Cw y 5 5 4 6 5 7 5 3 4 6 The posiive non-zero biologicl equilibrium E 6 y, y, x IJMER ISSN: 49 6645 www.ijmer.com Vol. 5 Iss. 8 Augus 5 7 () exiss provided he condiions (5) re sisfied.

I my furher be observed h condiions (3) nd (4) imply (5), h is if E 4 E5, y, x exiss hen E6 will lso exiss. However, he exisence of 6 E4 nd E5 provided he condiion (5) is sisfied. nd E is possible irrespecive of IV. STABILITY ANALYSIS The vriionl mrix bou he poin E is given by J w4 -C From he bove vriionl mrix, i is seen h here re wo unsble mnifolds long boh X,Y xis nd one sble mnifold long Z xis. Therefore he poin E is sddle poin, h is, very smll densiies of species he effor decreses nd ends o zero, while for smll effors he densiies of hrvesing species will sr incresing, The vriionl mrices bou he xil poin,, J - -/( w ) w w pw6 - C w 4 E nd E,, J -w - w /( w ) w5 pw 7 ( - C ) w3 nd 4 5 3 re given by respecively. From he mrix J, i is seen h here exiss sble mnifold long X xis nd n unsble mnifolds long Z xis. Sble mnifold long Y xis exiss provided w p w 6 C( w ). Observe h his condiion violes he exisence of E y,, x 4. The poin E is sddle poin. Similrly, from he mrix J, i is seen h here exiss sble mnifold long Y xis nd n unsble mnifolds long X xis. Sble mnifold long Z xis exiss provided w p w 6 C( w ). This condiion excludes he exisence of equilibrium poin E 5, y, x The vriionl mrix bou he poin E3,, is given by.the poin E is sddle poin. w ( w w3 ) J3 w4 w5 ( w w3) w pw6 w5 pw 7 3 3 C ( ww3) E3,, is sble provided he following condiion is sisfied: w pw 6 w5 pw7 C ( w w ) Thus, he equilibrium poin 3 (6) Theorem 4.: The equilibrium poin E y,, x 4 is loclly sympoiclly sble provided IJMER ISSN: 49 6645 www.ijmer.com Vol. 5 Iss. 8 Augus 5 8

( w -) w y ( w - w ) w (7) 5 5 Proof. The vriionl mrix bou he poin E y,, x 4 3 J4 3 3 3 3 ww x y ( ) wy - wx 5 w4 ( wy ) x ww 6 p 3 ( wy ) ;, w w y x 3 ( wy ), 3 33 is given by, wy - ; ( ) 3 wy x w w p y w w w p w w w p 7 5 7 5 3 6 3 ( wy ) The equilibrium poin E4 is loclly sble if he following condiions re sisfied: w x w (- y ) ; nd y ( w - w ) w ; 5 5 Subsiuion for x nd simplificion yields he sbiliy condiions s w w y w w w w w ( -) ( - ) 4 5 4 The equilibrium E 4 is unsble when he condiion () is violed. Similrly, he sbiliy condiions for he equilibrium E 5 re sed in he heorem 4.. Is proof is omied. Theorem 4.: The equilibrium poin E 5, y, x 3 3 5 5 is loclly sympoiclly sble provided ( w -) w y ( w - w ) w (8) The equilibrium E 5 is unsble when he condiion () is violed. The following heorem gives he condiions for he loclly sbiliy of he nonzero posiive equilibrium E y, y, x. poin 6 Theorem 4.3: The posiive non-zero biologicl fesible equilibrium E 6 y, y, x ; is loclly sympoiclly sble if he following condiions re sisfied: x w (- y ) ; (9) w w x w w (- y ) () 4 3 5 w x y ( w w y w w y )(- y ) () 3 5 w w x y ( w w y w w y )(- y ) () 4 3 5 Proof: Proof is given in [6]. Thus, he posiive non-zero biologicl fesible equilibrium E 6 is loclly sympoiclly sble if he condiions given by (9-) re sisfied. The following heorem gives he condiions for he globl sbiliy of he nonzero posiive equilibrium poin. Theorem 4.4 Le he locl sbiliy condiions given by (9-) hold. The posiive non-zero biologicl fesible E y, y, x is globl sble if he following condiion is sisfied: equilibrium 6 IJMER ISSN: 49 6645 www.ijmer.com Vol. 5 Iss. 8 Augus 5 9

( w - w w ) 4 w ( w y w y ) - w ( w y w y ) - w 3 4 4 3 3 3 w ( w w p - w C) w5 ( ww 6 p - wc) Proof: Proof is given in [6]; 7 5 3 (3) V. THE OPTIMUM HARVEST POLICY The economic ren (ne revenue) ny ime is given by pw w6 y pw5w7 y p( x, y, y) x C w y w3 y The presen vlue J of coninuous ime srem of revenues is given by he expression - pw w6 y pw5 w7 y - J p( x, y, y) e d x( C) e d w y w y (4) Consider he inegrnd of he presen vlue p w w y p w w y 3 6 5 7 G( y, y, x, ) x C e w y w3 y y( y) y pw 6 w4 y( y) - y pw5 - Cxe. Here is he insnneous nnul re of discoun. Using clssicl Euler necessry condiions o mximize he posiive nonzero equilibrium such h G d G G d G G d G ; ;. y d y y d y x d x On solving he firs equion, we ge G d G y pw6e ; or y d y (5) y e & p w 6 Similrly oher condiions yield 4 5 IJMER ISSN: 49 6645 www.ijmer.com Vol. 5 Iss. 8 Augus 5 w ( y ) e & p w (6) Ce (7) Cse (): Le e for, hen y. (8) w4( y) (9) C () Combining () nd (3) gives y w y ( w )/. () 4 4 Cse (): Le e for bu hen y c. () w ( y ) c (3) 4

C (4) Elimining, c, c using (6) nd (7) we ge y w y ( w ). (5) 4 4 Hence he opimum line () nd (5) re sme in he boh cses. Therefore he opimum equilibrium will be he inersecion of line (5) nd firs isocline of (). VI. EXISTENCE OF HOPF BIFURCATION The chrcerisic equion of he bove vriionl mrix bou E 6 is obined s [6]. By he Rouh- Hurwiz crierion, he posiive nonzero equilibrium poin is loclly sympoiclly sble under he condiions (9-). The Hopf bifurcion occurs C C where he vlue of -becomes zero. Subsiuing ino (6), we ge, 3 ( )( ). This gives purely imginry roos nd one rel roo: ;,3 i (6) Trnsversliy condiion: - Le he chrcerisic equion be such h i conins pir of purely imginry ' ' roos i nd one rel roo, sy c : ( - )(( - )( - c or 3 ( c ' ) ). ( c Compring he coefficiens of (3) nd (6) we ge ' ' ' ( ) ( ) ' ) c (8) Differeniing (3) wih respec o bifurcion prmeer C, seingc C, nd rescling h ' C.we ge [8], ( ) (7) ( ' ) C C C C ( ) C C (9) Thus he rnsversliy condiion is sisfied. So here exiss fmily of periodic soluions bifurcing from E 6 in he neighborhood of C h is, C ( C, C ). VII. NUMERICAL SIMULATION As he soluion of he sysem is bounded, he long ime behvior of he soluion is obined s limi cycle, limi poin rcor, qusi-periodic. For globl dynmic behvior, numericl simulions of he underlying non-liner sysem re crried ou. Consider he biologicl fesible se of prmeers s w., w., w.6, w., w.5, w.3, w.7, p.5, p., (3) 3 4 5 6 7 The sign chnge from posiive o negive for he expression - is observed s he vlues of prmeer C re vried. The exisence of hopf bifurcion is observed in he neighborhood of C.4. The vriionl mrix he hopf bifurcion poin C.4 is given by J -.75.967 -.367.39 -.848 -.346.755.97 IJMER ISSN: 49 6645 www.ijmer.com Vol. 5 Iss. 8 Augus 5

The eigenvlues of he mrix Jre obined s.989,.8 +.443i,.8 -.443i. From he eigenvlues he Hopf bifurcion is eviden is eviden in he neighborhood of C.4. The vlue of he expression - is.3 C =.56. Fig. () shows he phse spce rjecories converging o he poin (.4973,.36954,.598) for he d se (3) C.56, sring wih wo differen iniil condiions. In oher words, he nonrivil equilibrium poin (.4973,.36954,.598) is sble giving he persisence of he sysem for he given se of prmeers. Fig (b) shows he ime series for he d se (3) C.56. Figure () shows he phse spce rjecories nd heir ime series for he d se (3) C.4. Figure (b) shows he long ime behvior in phse spce rjecories nd heir ime series for he sme d se (3) C.4. The soluion is qusi periodic. The vlue of he expression - is -.57, C.4 () (b) Fig. : For he d se (34); () 3D behvior (b) ime series Fig. (). IJMER ISSN: 49 6645 www.ijmer.com Vol. 5 Iss. 8 Augus 5

Fig. (b). Qusiperiodic behvior However, for C., here exiss limi cycle for he sme se of d. As is eviden from he Fig 3. The vlue of he expression - is -.77, C.. Fig. 3. Limi cycle VIII. CONCLUSIONS In his model, sepre dynmics of hrvesing effor is considered. The locl nd globl persisence of he hrvesed preys hs been nlyzed. The opimum populion level is invesiged. The exisence of hopf bifurcion wih respec o ol cos of fishing is observed. REFERENCES []. Asep K.Suprion, Hugh P.Possinghm, Opiml hrvesing for predor-prey mepopulion, Bullein of Mhemicl Biology 6:49-65 (998). []. B. Dubey, Peeyush Chndr nd Prwl Sinh, A model for fishery resource wih reserve re, Nonliner Anlysis: Rel World Applicions 4( 4):65-637 (3). [3]. Berg Hugo A.vn den, Yuri N. Kiselev, S.A.L.M.Kooijmn, Orlov Michel V., Opiml llocion beween nurien upke nd growh in microbil richome, Journl of Mhemicl Biology 37:8-48 (998). [4]. Bruer, F., Soudck, A.C., Sbiliy regions nd rnsiion phenomen for hrvesed predor-prey sysems, J.Mh. Biol.7:39-337 (979). [5]. Bruer, F., Soudck, A.C., Sbiliy regions in predor-prey sysems wih consn- re prey hrvesing, J.Mh. Biol.8:55-7 (979). IJMER ISSN: 49 6645 www.ijmer.com Vol. 5 Iss. 8 Augus 5 3

[6]. Brhmpl Singh; The Globl Sbiliy of Two Hrvesing Species wih vrible Effor Re; Inernionl Journl of Educion nd Science Reserch Review (ISSN 348-6457, impc fcor.4) pge no-6-3; Volume-, Issue-, April- 4. [7]. Chudhuri, K.S., A bioeconomic model of hrvesing of mulispecies fishery, Ecol.Model.3:67-79(986). [8]. Chudhuri, K.S., Dynmic opimizion of combined hrvesing of wo-species fishery, Ecol.Model.4:7-5(988). [9]. Chudhuri, K.S., Sh Ry, S., Bionomic exploiion of Lok-Volerr prey-predor sysem, Bull.Cl.Mh.Soc.83:75-86 (99). []. Chudhuri, K.S., Sh Ry, S., On he combined hrvesing of prey -predor sysem. J. Biol. sys. 4 (3): 373-389 (996). []. Colin W.Clrk, Mhemicl bioeconomics: The opiml mngemen of renewble resources, John Wiley & Sons, USA (976). []. Di, G., Tng, M., Coexisence region nd globl dynmics of hrvesed predor-prey sysem, SIAM J.Appl, Mh.58:93- (998). [3]. Meng Fn, Ke Wng, Opiml hrvesing policy for single populion wih periodic coefficiens, Mhemicl Bioscience 5:65-77 (998). [4]. Meseron-Gibbons, M., On he opiml policy for he combined hrvesing of independen species, N.Res.model. :7-3 (987). [5]. Meseron-Gibbons, M., On he opiml policy for he combined hrvesing of predor nd prey, N.Res.model.3:63-9 (988). [6]. Nguyen Phong chu, Desbilising effec of periodic hrves on populion dynmics, Ecologicl Modeling 7:-9 (). [7]. S. Gkkhr, R. K. Nji, On food web consising of specilis nd generlis predor, Journl of biologicl Sysems (4): 365-376 (3). [8]. S.Kumr, S.K.Srivsv, P.Chingkhm, Hopf bifurcion nd sbiliy nlysis in hrvesed one-predor-woprey model, Applied Mhemics nd Compuion 9:7-8 (). [9]. Y.Tkeuchi, Globl Dynmicl Properies of Lok-Voler Sysems, World Scienific (996). IJMER ISSN: 49 6645 www.ijmer.com Vol. 5 Iss. 8 Augus 5 4