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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Online Access: | http://link.springer.com/article/10.1186/s13662-020-03062-5 |
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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 |
work_keys_str_mv |
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