Properties in Stage-Structured Population Models with Deterministic and Stochastic Resource Growth

Modelling population dynamics in ecological systems reveals properties that are difficult to find by empirical means, such as the probability that a population will go extinct when it is exposed to harvesting. To study these properties, we use an aquatic ecological system containing one fish species...

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Main Authors: Tin Nwe Aye, Linus Carlsson
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2022/3535375
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author Tin Nwe Aye
Linus Carlsson
author_facet Tin Nwe Aye
Linus Carlsson
author_sort Tin Nwe Aye
collection DOAJ
description Modelling population dynamics in ecological systems reveals properties that are difficult to find by empirical means, such as the probability that a population will go extinct when it is exposed to harvesting. To study these properties, we use an aquatic ecological system containing one fish species and an underlying resource as our models. In particular, we study a class of stage-structured population systems with and without starvation. In these models, we study the resilience, the recovery potential, and the probability of extinction and show how these properties are affected by different harvesting rates, both in a deterministic and stochastic setting. In the stochastic setting, we develop methods for deriving estimates of these properties. We estimate the expected outcome of emergent population properties in our models, as well as measures of dispersion. In particular, two different approaches for estimating the probability of extinction are developed. We also construct a method to determine the recovery potential of a species that is introduced in a virgin environment.
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spelling doaj-art-9549fab079a0462a81a95062905353432025-02-03T05:50:39ZengWileyJournal of Applied Mathematics1687-00422022-01-01202210.1155/2022/3535375Properties in Stage-Structured Population Models with Deterministic and Stochastic Resource GrowthTin Nwe Aye0Linus Carlsson1Division of Applied MathematicsDivision of Applied MathematicsModelling population dynamics in ecological systems reveals properties that are difficult to find by empirical means, such as the probability that a population will go extinct when it is exposed to harvesting. To study these properties, we use an aquatic ecological system containing one fish species and an underlying resource as our models. In particular, we study a class of stage-structured population systems with and without starvation. In these models, we study the resilience, the recovery potential, and the probability of extinction and show how these properties are affected by different harvesting rates, both in a deterministic and stochastic setting. In the stochastic setting, we develop methods for deriving estimates of these properties. We estimate the expected outcome of emergent population properties in our models, as well as measures of dispersion. In particular, two different approaches for estimating the probability of extinction are developed. We also construct a method to determine the recovery potential of a species that is introduced in a virgin environment.http://dx.doi.org/10.1155/2022/3535375
spellingShingle Tin Nwe Aye
Linus Carlsson
Properties in Stage-Structured Population Models with Deterministic and Stochastic Resource Growth
Journal of Applied Mathematics
title Properties in Stage-Structured Population Models with Deterministic and Stochastic Resource Growth
title_full Properties in Stage-Structured Population Models with Deterministic and Stochastic Resource Growth
title_fullStr Properties in Stage-Structured Population Models with Deterministic and Stochastic Resource Growth
title_full_unstemmed Properties in Stage-Structured Population Models with Deterministic and Stochastic Resource Growth
title_short Properties in Stage-Structured Population Models with Deterministic and Stochastic Resource Growth
title_sort properties in stage structured population models with deterministic and stochastic resource growth
url http://dx.doi.org/10.1155/2022/3535375
work_keys_str_mv AT tinnweaye propertiesinstagestructuredpopulationmodelswithdeterministicandstochasticresourcegrowth
AT linuscarlsson propertiesinstagestructuredpopulationmodelswithdeterministicandstochasticresourcegrowth