Conceptual model of beaver population system dynamics
Author:
Open Access
- 28 November 2024
- journal article
- research article
- Published by EDP Sciences in BIO Web of Conferences
- Vol. 149, 01023
Abstract
All living organisms affect the environment and the livelihoods of their neighboring populations. Such neighborhood can have both positive and negative consequences. The paper presents a simulation model that determines the number of beavers in a limited area depending on external factors. Such factors include natural conditions, anthropogenic influence on their habitat, peculiarities of beaver’s life activity and conditions regulating the population (possibilities of trapping or hunting). The developed model corresponds to the system dynamics model, which allows to predict the changes of the beaver population in the given time interval depending on the given conditions, which can change. The obtained model can be used in intelligent systems providing environmental monitoring, ecosystem biodiversity and effective management of various types of resources.Keywords
This publication has 14 references indexed in Scilit:
- Development of digital solutions for organizing resort treatmentBIO Web of Conferences, 2024
- RETRACTED: Application of simulation modeling in ensuring economic security in feed additives productionBIO Web of Conferences, 2024
- Digital models for assessing the impact of aeration processes on reservoir aquacultureBIO Web of Conferences, 2024
- Application of the simulation method in the development of the concept for the Silk Road museumBIO Web of Conferences, 2024
- Modeling processes of digital transformation of organization and waste collection of farming householdsBIO Web of Conferences, 2024
- Features of development of an agricultural warehouse digital twinBIO Web of Conferences, 2024
- External impacts on structure and relaxation properties of thermotropic liquid crystal copolyesterIOP Conference Series: Materials Science and Engineering, 2020
- Future threats to biodiversity and pathways to their preventionNature, 2017
- The interaction of human population, food production, and biodiversity protectionScience, 2017
- Optimal interpolation of displacement trajectories for drive control with external-load predictionChemical and Petroleum Engineering, 2013