Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Optimal harvesting strategies for ecological population dynamics

View ORCID ProfileSayeh Rezaee, View ORCID ProfileCesar Nieto, View ORCID ProfileAbhyudai Singh
doi: https://doi.org/10.1101/2023.04.04.535628
Sayeh Rezaee
1,2Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Sayeh Rezaee
  • For correspondence: sayehr@udel.edu
Cesar Nieto
1,2Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Cesar Nieto
Abhyudai Singh
3Department of Electrical and Computer Engineering, Biomedical Engineering, Mathematical Sciences, Center of Bioinformatic and Computational Biology, University of Delaware, Newark, DE, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Abhyudai Singh
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

What is the optimal way to harvest an ecological population sustainably is a fundamental problem in natural resource management. Here we use the framework of the stochastic logistic model which captures random birth-death of individuals to determine the optimal harvesting strategy that maximizes the integrated yield over time. Harvesting is assumed to occur at either a constant or state-dependent rate, and individuals are harvested with a certain probability whenever a harvesting event occurs. A special case of state-dependent harvesting is a threshold-based strategy, where harvesting is done when the population crosses a threshold. We use moment closure schemes to develop analytical formulas quantifying the mean and optimal yield. Moreover, as populations are susceptible to extinction at high harvesting rates, the Finite State Projection (FSP) method is used to estimate the probabilities of extinction across strategies and parameter regimes. Our results show that the threshold-based strategy is most effective in maximizing the yield as it suppresses population fluctuations and minimizes extinction events.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • {sayehr{at}udel.edu, cnieto{at}udel.edu}

  • {absingh{at}udel.edu}

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted April 04, 2023.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Optimal harvesting strategies for ecological population dynamics
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Optimal harvesting strategies for ecological population dynamics
Sayeh Rezaee, Cesar Nieto, Abhyudai Singh
bioRxiv 2023.04.04.535628; doi: https://doi.org/10.1101/2023.04.04.535628
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Optimal harvesting strategies for ecological population dynamics
Sayeh Rezaee, Cesar Nieto, Abhyudai Singh
bioRxiv 2023.04.04.535628; doi: https://doi.org/10.1101/2023.04.04.535628

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Ecology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4687)
  • Biochemistry (10371)
  • Bioengineering (7690)
  • Bioinformatics (26364)
  • Biophysics (13545)
  • Cancer Biology (10715)
  • Cell Biology (15456)
  • Clinical Trials (138)
  • Developmental Biology (8509)
  • Ecology (12837)
  • Epidemiology (2067)
  • Evolutionary Biology (16879)
  • Genetics (11409)
  • Genomics (15489)
  • Immunology (10633)
  • Microbiology (25243)
  • Molecular Biology (10233)
  • Neuroscience (54567)
  • Paleontology (402)
  • Pathology (1671)
  • Pharmacology and Toxicology (2899)
  • Physiology (4350)
  • Plant Biology (9263)
  • Scientific Communication and Education (1587)
  • Synthetic Biology (2558)
  • Systems Biology (6787)
  • Zoology (1470)