Time-dependent probability density function for general stochastic logistic population model with harvesting effort
We derive and analyze the time-dependent probability density function for the number of individuals in a population at a given time in a general logistic population model with harvesting effort using the Fokker–Planck equation. The time-dependent probability density function (obtained as the unique...
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| Published in | Physica A Vol. 573; p. 125931 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.07.2021
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0378-4371 1873-2119 |
| DOI | 10.1016/j.physa.2021.125931 |
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| Abstract | We derive and analyze the time-dependent probability density function for the number of individuals in a population at a given time in a general logistic population model with harvesting effort using the Fokker–Planck equation. The time-dependent probability density function (obtained as the unique principal solution of the Fokker–Planck equation corresponding to certain initial value and boundary conditions) is used to describe how the distribution of the population process changes with time. We assume the environment is randomly varying and the population is subject to a continuous spectrum of disturbances, with fluctuations in the intrinsic growth rate and the harvesting effort. The randomness is expressed as independent white noise processes. The effect of changes in the intrinsic growth rate, harvesting effort, and noise intensities on the distribution is investigated. In addition, conditions for the existence of optimal harvesting policy are obtained using properties of the time-dependent probability density function. The results obtained in this work are validated using population and published parameters. |
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| AbstractList | We derive and analyze the time-dependent probability density function for the number of individuals in a population at a given time in a general logistic population model with harvesting effort using the Fokker–Planck equation. The time-dependent probability density function (obtained as the unique principal solution of the Fokker–Planck equation corresponding to certain initial value and boundary conditions) is used to describe how the distribution of the population process changes with time. We assume the environment is randomly varying and the population is subject to a continuous spectrum of disturbances, with fluctuations in the intrinsic growth rate and the harvesting effort. The randomness is expressed as independent white noise processes. The effect of changes in the intrinsic growth rate, harvesting effort, and noise intensities on the distribution is investigated. In addition, conditions for the existence of optimal harvesting policy are obtained using properties of the time-dependent probability density function. The results obtained in this work are validated using population and published parameters. |
| ArticleNumber | 125931 |
| Author | Otunuga, Olusegun Michael |
| Author_xml | – sequence: 1 givenname: Olusegun Michael surname: Otunuga fullname: Otunuga, Olusegun Michael email: otunuga@marshall.edu organization: Department of Mathematics, Marshall University, One John Marshall Drive, Huntington, WV, USA |
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| Keywords | Logistic population model Fokker–Planck Kummer Probability density function Harvesting effort Hypergeometric Laguerre Whittaker function Stochastic differential equation |
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| SubjectTerms | Fokker–Planck Harvesting effort Hypergeometric Kummer Laguerre Logistic population model Probability density function Stochastic differential equation Whittaker function |
| Title | Time-dependent probability density function for general stochastic logistic population model with harvesting effort |
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