Optimal control problem arises from illegal poaching of southern white rhino mathematical model

Abstract In this paper, a novel dynamical population model of a southern white rhino with legal and illegal poaching activity is introduced. The model constructed is based on a predator–prey model with southern white rhinos as prey and humans (hunters) as predators. We divide the southern white rhin...

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Main Authors: Dipo Aldila, Nadhira Azizah, Bevina D. Handari
Format: Article
Language:English
Published: SpringerOpen 2020-10-01
Series:Advances in Difference Equations
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13662-020-03062-5
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spelling doaj-ca6815e847e84a768da45e3566eec7f12020-11-25T03:56:17ZengSpringerOpenAdvances in Difference Equations1687-18472020-10-012020112510.1186/s13662-020-03062-5Optimal control problem arises from illegal poaching of southern white rhino mathematical modelDipo Aldila0Nadhira Azizah1Bevina D. Handari2Department of Mathematics, Universitas IndonesiaDepartment of Mathematics, Universitas IndonesiaDepartment of Mathematics, Universitas IndonesiaAbstract In this paper, a novel dynamical population model of a southern white rhino with legal and illegal poaching activity is introduced. The model constructed is based on a predator–prey model with southern white rhinos as prey and humans (hunters) as predators. We divide the southern white rhino population into three classes based on their horn condition. We investigate the existence and the stability of the equilibrium points, which depend on some threshold functions. From an analytical result, it is trivial that arresting as many hunters as possible helps conserve white rhinos, but it comes at a high cost. Therefore, an optimal strategy is needed. The optimal control is then constructed using Pontryagin’s minimum principle and solved numerically with an iterative forward–backward method. Optimal control simulations are given to provide additional insight into the dynamics of the model. Analysis of the cost function effectiveness is conducted using the ACER (Average Cost–Effectiveness Ratio) and ICER (Incremental Cost–Effectiveness Ratio) indicator method. The results show that the hunter population can be more easily controlled with a time-dependent hunter arrest rate rather than by treating it as a constant.http://link.springer.com/article/10.1186/s13662-020-03062-5Southern white rhinoIllegal hunterPredator–prey modelOptimal control problem
collection DOAJ
language English
format Article
sources DOAJ
author Dipo Aldila
Nadhira Azizah
Bevina D. Handari
spellingShingle Dipo Aldila
Nadhira Azizah
Bevina D. Handari
Optimal control problem arises from illegal poaching of southern white rhino mathematical model
Advances in Difference Equations
Southern white rhino
Illegal hunter
Predator–prey model
Optimal control problem
author_facet Dipo Aldila
Nadhira Azizah
Bevina D. Handari
author_sort Dipo Aldila
title Optimal control problem arises from illegal poaching of southern white rhino mathematical model
title_short Optimal control problem arises from illegal poaching of southern white rhino mathematical model
title_full Optimal control problem arises from illegal poaching of southern white rhino mathematical model
title_fullStr Optimal control problem arises from illegal poaching of southern white rhino mathematical model
title_full_unstemmed Optimal control problem arises from illegal poaching of southern white rhino mathematical model
title_sort optimal control problem arises from illegal poaching of southern white rhino mathematical model
publisher SpringerOpen
series Advances in Difference Equations
issn 1687-1847
publishDate 2020-10-01
description Abstract In this paper, a novel dynamical population model of a southern white rhino with legal and illegal poaching activity is introduced. The model constructed is based on a predator–prey model with southern white rhinos as prey and humans (hunters) as predators. We divide the southern white rhino population into three classes based on their horn condition. We investigate the existence and the stability of the equilibrium points, which depend on some threshold functions. From an analytical result, it is trivial that arresting as many hunters as possible helps conserve white rhinos, but it comes at a high cost. Therefore, an optimal strategy is needed. The optimal control is then constructed using Pontryagin’s minimum principle and solved numerically with an iterative forward–backward method. Optimal control simulations are given to provide additional insight into the dynamics of the model. Analysis of the cost function effectiveness is conducted using the ACER (Average Cost–Effectiveness Ratio) and ICER (Incremental Cost–Effectiveness Ratio) indicator method. The results show that the hunter population can be more easily controlled with a time-dependent hunter arrest rate rather than by treating it as a constant.
topic Southern white rhino
Illegal hunter
Predator–prey model
Optimal control problem
url http://link.springer.com/article/10.1186/s13662-020-03062-5
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