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Properties in Stage-Structured Population Models with Deterministic and Stochastic Resource Growth
Kyaukse University, Myanmar.ORCID iD: 0000-0002-2450-0160
Mälardalen University, School of Education, Culture and Communication, Educational Sciences and Mathematics.ORCID iD: 0000-0002-5328-9560
2022 (English)In: Journal of Applied Mathematics, ISSN 1110-757X, E-ISSN 1687-0042, Vol. 2022, article id 3535375Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Hindawi Limited , 2022. Vol. 2022, article id 3535375
Keywords [en]
Ecology, Population dynamics, Population statistics, Stochastic models, Deterministics, Ecological systems, Exposed to, Fish species, Property, Stage structured, Stochastic settings, Stochastics, Structured population, Structured population models, Stochastic systems
National Category
Mathematics
Identifiers
URN: urn:nbn:se:mdh:diva-60084DOI: 10.1155/2022/3535375ISI: 000892074700001Scopus ID: 2-s2.0-85138039555OAI: oai:DiVA.org:mdh-60084DiVA, id: diva2:1701201
Note

Export Date: 5 October 2022; Article; Correspondence Address: Aye, T.N.; Division of Applied Mathematics, Box 883, 721 23, Sweden; email: tin.nwe.aye@mdh.se

Available from: 2022-10-05 Created: 2022-10-05 Last updated: 2023-05-10Bibliographically approved

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Aye, Tin NweCarlsson, Linus

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