Time-dependent probability density function for general stochastic logistic population model with harvesting effort

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.
Original languageEnglish (US)
JournalPhysica A: Statistical Mechanics and its Applications
StatePublished - Jul 1 2021


  • Logistic population model
  • Stochastic differential equation
  • Harvesting effort
  • Whittaker function
  • Hypergeometric
  • Laguerre
  • Fokker–Planck
  • Kummer
  • Probability density function

Cite this