Josh Durham Jacob Swett. Dynamic Behaviors of a Harvesting Leslie-Gower Predator-Prey Model Na Zhang, 1 Fengde Chen, 1 Qianqian Su, 1 and Ting Wu 2 1.

Slides:



Advertisements
Similar presentations
Basic Bioeconomics Model of Fishing
Advertisements

1 A Population Model Structured by Age and Molecular Content of the Cells Marie Doumic Jauffret Work with Jean CLAIRAMBAULT and Benoît.
1 12. Principles of Parameter Estimation The purpose of this lecture is to illustrate the usefulness of the various concepts introduced and studied in.
Ch 3.6: Variation of Parameters
458 Multispecies Models (Introduction to predator-prey dynamics) Fish 458, Lecture 26.
Chapter 6 Models for Population Population models for single species –Malthusian growth model –The logistic model –The logistic model with harvest –Insect.
Dynamics of a Ratio- Dependent Predator-Prey Model with Nonconstant Harvesting Policies Catherine Lewis and Benjamin Leard August 1 st, 2007.
Åbo Akademi University & TUCS, Turku, Finland Ion PETRE Andrzej MIZERA COPASI Complex Pathway Simulator.
PREDATION One of the least well developed areas of ecological theory Management problems occur with a lack of information –Biological data on predators.
بسم الله الرحمن الرحيم وقل ربِ زدني علماً صدق الله العظيم.
The structure and evolution of stars
Paula Gonzalez 1, Leticia Velazquez 1,2, Miguel Argaez 1,2, Carlos Castillo-Chávez 3, Eli Fenichel 4 1 Computational Science Program, University of Texas.
1 L-BFGS and Delayed Dynamical Systems Approach for Unconstrained Optimization Xiaohui XIE Supervisor: Dr. Hon Wah TAM.
1 L-BFGS and Delayed Dynamical Systems Approach for Unconstrained Optimization Xiaohui XIE Supervisor: Dr. Hon Wah TAM.
Chapter 17 Unemployment, Inflation, and Growth. 2 Introduction In Chapter 4, 5, 6, we have studied a classical model of the complete economy, but said.
Finite Mathematics & Its Applications, 10/e by Goldstein/Schneider/SiegelCopyright © 2010 Pearson Education, Inc. 1 of 99 Chapter 4 The Simplex Method.
1. Substitute Eq. (3) under expectation sign and use addiditve property of expectation 2. All expectations are equal (3) 4. Use the results of the first.
1 A Dynamic Model for Magnetostrictive Hysteresis Xiaobo Tan, John S. Baras, and P. S. Krishnaprasad Institute for Systems Research and Department of Electrical.
Economics 214 Lecture 2 Mathematical Framework of Economic Analysis Continued.
Mathematical Modeling in Biology:
Ch 1.2: Solutions of Some Differential Equations
Use complementary slackness to check the solution: ( 20/3, 0, 16/3, 0) Maximize 9 x 1 -3 x x 3 -7 x 4 subject to 2 x x x x 4 ≤
Stevenson and Ozgur First Edition Introduction to Management Science with Spreadsheets McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies,
Managerial Economics Prof. M. El-Sakka CBA. Kuwait University Managerial Economics in a Global Economy Chapter 1 B.
CIS 540 Principles of Embedded Computation Spring Instructor: Rajeev Alur
Population Modeling Mathematical Biology Lecture 2 James A. Glazier (Partially Based on Brittain Chapter 1)
Optimal continuous cover forest management: - Economic and environmental effects and legal considerations Professor Dr Peter Lohmander
MATH 224 – Discrete Mathematics
Multiclass P2P Networks: Static Resource Allocation for Service Differentiation and Bandwidth Diversity Florence Clévenot-Perronnin, Philippe Nain and.
What is a model Some notations –Independent variables: Time variable: t, n Space variable: x in one dimension (1D), (x,y) in 2D or (x,y,z) in 3D –State.
LOGO Soil slope stability analysis combining shear strength reduction and slip line method Supervisor: Yongchang Cai Ph.D. candidate: Jie Wu School of.
Fishing pressure and marine reserve management (Claire W. Armstrong* and Anders Skonhoft**: Marine Reserves: A bioeconomic model with asymmetric density.
PROBABILITY AND STATISTICS FOR ENGINEERING Hossein Sameti Department of Computer Engineering Sharif University of Technology Principles of Parameter Estimation.
Dr. Amr Khairat Radi Department of Physics Faculty of Science Ain Shams University Cairo, Egypt
Synchronization in complex network topologies
54 Fluctuations in Population Densities Exponential growth can be represented mathematically:  N/  t = (b – d)N  N = the change in number of individuals.
International Workshop on Resonance Oscillations and Stability of Nonsmooth Systems Imperial College London London, United Kingdom June 16–25, 2009 A joint.
HEAT TRANSFER FINITE ELEMENT FORMULATION
October 13, 2014 What are we doing today? Introduce Ecosystems Trophic levels Consumers/Producers/Decomposers Photosynthesis Energy Flow Food webs/Food.
Game theoretical analysis of hospital expense claiming strategy under global budgeting policy Reporter : Juin-Yang Wang Advisor : Cheng-Han Wu Date : January.
Optimal continuous natural resource extraction with increasing risk in prices and stock dynamics Professor Dr Peter Lohmander
Modelling concepts Modelling in discrete time (difference equations, also known as updating equations) Modelling in continuous time (differential equations)
Math 3120 Differential Equations with Boundary Value Problems
Adaptive Optimal Control of Nonlinear Parametric Strict Feedback Systems with application to Helicopter Attitude Control OBJECTIVES  Optimal adaptive.
Introduction to Classical Social Theory Part Two: Classical Social Theory Agenda Objective: To develop an understanding of what social theory is and the.
Wildlife Biology Population Characteristics. Wildlife populations are dynamic – Populations increase and decrease in numbers due to a variety of factors.
A Brief Maximum Entropy Tutorial Presenter: Davidson Date: 2009/02/04 Original Author: Adam Berger, 1996/07/05
Ch 1.1: Basic Mathematical Models; Direction Fields Differential equations are equations containing derivatives. The following are examples of physical.
Erin N. Bodine Co-authors: Suzanne Lenhart & Louis Gross The Institute for Environmental Modeling Grant # IIS
Notes 6.5, Date__________ (Substitution). To solve using Substitution: 1.Solve one equation for one variable (choose the variable with a coefficient of.
1 Lu LIU and Jie HUANG Department of Mechanics & Automation Engineering The Chinese University of Hong Kong 9 December, Systems Workshop on Autonomous.
Predator/Prey. Two big themes: 1.Predators can limit prey populations. This keeps populations below K.
Consider a very simple setting: a fish stock is harvested by two symmetric (identical) players, which can be fishermen or fleets. 2.1 A Simple Non-cooperative.
EBM: Control Freaks Model Zero: Two interacting species and a regulator who is informationally challenged.
1 College of Communication Engineering Undergraduate Course: Signals and Linear Systems Lecturer: Kunbao CAI.
Process Dynamics and Operations Group (DYN) TU-Dortmund
FW364 Ecological Problem Solving Class 11: Population Regulation
THEORY OF LIFE TABLES N. JAYAKUMAR Assistant professor
Using Equilibrium Constants
Root-Locus Analysis (1)
Modern Control Systems (MCS)
Ising game: Equivalence between Exogenous and Endogenous Factors
Ch 3.7: Variation of Parameters
Lecture #10 Switched systems
Beverton and Holt’s yield per Recruit Model
Optimal stochastic control in continuous time with Wiener processes: - General results and applications to optimal wildlife management KEYNOTE Version.
Figure 1 We consider a scenario where the distributions of signals under safe or dangerous situations mean that a ... Figure 1 We consider a scenario where.
TBF General Mathematics - II Lecture – 9 : Linear Programming
Population Modeling Mathematical Biology Lecture 2 James A. Glazier
Presentation transcript:

Josh Durham Jacob Swett

Dynamic Behaviors of a Harvesting Leslie-Gower Predator-Prey Model Na Zhang, 1 Fengde Chen, 1 Qianqian Su, 1 and Ting Wu 2 1 College of Mathematics and Computer Science, Fuzhou University, Fuzhou , Fujian, China 2 Department of Mathematics and Physics, Minjiang College, Fuzhou , Fujian, China Published in Discrete Dynamics in Nature and Society Received 24 October 2010; Accepted 8 February 2011 Academic Editor: Prasanta K. Panigrahi

Introduction Stability Property of Positive Equilibrium The Influence of Harvesting Bionomic Equilibrium Optimal Harvesting Policy Numerical Example Conclusions Questions

The harvesting of biological resources commonly occurs in: Fisheries Forestry Wildlife management Allows for predictions given various assumptions Important for optimization

Then we find the characteristic equation Given the above information, we can see that the unique positive equilibrium of the system is stable

The positive equilibrium is globally stable The proof of this fact is beyond the scope of this course Instead, there will be a brief summary of major points Equilibrium dependent only on coefficients of system Lyapunov Function Lyapunov’s asymptotic stability theorem

Case 1: Harvesting only prey species Case 2: Harvesting only predator species

Case 3: Harvesting predator and prey together Difficult to give a detailed analysis of all possible cases so the focus will be on answering Whether or not it is possible to choose harvesting parameters such that the harvesting of predator and prey will not cause a change in density of the prey species over time If it is possible, what will the dynamic behaviors of the predator species be? We find that: allows the first question to be answered with, yes We also find that by substituting the above equality into the predator equation, it will lead to a decrease in the predator species

A method for the computation of optimal controls The Maximum Principle can be thought of as a far reaching generalization of the classical subject of the calculus of variations

Using the following values as inputs into the optimized equation: Gives: Solving with Maple, the authors obtained:

From the previous results only one results meets the following conditions: Namely: These values can then be entered into the predator- prey harvesting equation

Substituting the values for H and P into the below equations: And rearranging to solve for c 1 and c 2, gives:

Introduced a harvesting Leslie-Gower predator-prey model The system discussed was globally stable Provided an analysis of some effects of different harvesting policies Considered economic profit of harvesting Results show that optimal harvesting policies may exist Demonstrate that the optimal harvesting policy is attainable

Questions?