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dc.contributor.authorKashchenko, M.en
dc.contributor.authorKashchenko, N.en
dc.contributor.editorPakhomov, V. I.en
dc.contributor.editorAltybayev, A. N.en
dc.contributor.editorPetkovic, M.en
dc.contributor.editorMaltseva, T. A.en
dc.date.accessioned2025-12-18T07:10:54Z-
dc.date.available2025-12-18T07:10:54Z-
dc.date.issued2024-
dc.identifier.citationKashchenko, M. A majorizing forecast of the earth population in a reduced resource-limited model / M. Kashchenko, N. Kashchenko // BIO Web of Conferences. – 2024. – Vol. 113. – № 06021. DOI: 10.1051/bioconf/202411306021.en
dc.identifier.citationKashchenko, M. P., & Kashchenko, N. M. (2024). A majorizing forecast of the earth population in a reduced resource-limited model. BIO Web of Conferences, 113, 06021. doi:10.1051/bioconf/202411306021apa
dc.identifier.isbn9781713838920
dc.identifier.isbn781713836933
dc.identifier.isbn781713836414
dc.identifier.isbn781713866091
dc.identifier.issn2273-1709-
dc.identifier.otherhttp://doi.org/10.1051/bioconf/202411306021pdf
dc.identifier.otherno full texten
dc.identifier.urihttps://elar.usfeu.ru/handle/123456789/14522-
dc.description.abstractThree two-parameter phenomenological models of population growth dynamics of the Earth's population N leading to a conclusion about the existence of its limiting number N<inf>max</inf> are briefly described. It is noted that the Ferhulst model, which assumes external resource constraints of exponential growth and leads to a logistic dependence N (t), has a maximum growth rate dN/dt at N = N<inf>max</inf>/2 and is adequate to asexual method of reproduction. Two other models are associated with sexual reproduction, however, in Kapitsa model, it is believed that N growth restriction is due only to internal causes (the "demographic imperative"of Kapitsa). The authors develop a model in which resource constraints are reflected by the square of Verhulst multiplier. It is significant that in such a model (as in Kapitsa model) there is not only a maximum growth rate, but also a maximum relative growth rate (1/N) dN/dt at N ˜ N<inf>max</inf> /2.7 for Kapitsa model and N = N<inf>max</inf>/3 in resource limited model. These features make it possible to estimate the value of N<inf>max</inf> using statistical data on N(t) dependence. The analysis of transition from "microscopic"to macroscopic description indicates the possibility of transition to a reduced model in which for (1/N) dN/dt the square of Verhulst multiplier is preserved, and data processing allows using the value N<inf>max</inf> = 14.7 billion. For this value N<inf>max</inf> after calibration of the model parameters according to the beginning of 2018 a population forecast was made. Comparison with two forecasts based on UN data showed that calculations of the reduced model majorize them, exceeding, for example, in 2050 by 1.4%. The effect of explicit concern of the rate of population decline due to mortality, leading to decrease in the Nmax estimates, is briefly discussed. © The Authors, published by EDP Sciences, 2024.en
dc.format.mimetypetext/htmlen
dc.language.isoenen
dc.publisherEDP Sciencesen
dc.rightsinfo:eu-repo/semantics/restrictedAccessen
dc.sourceBIO Web of Conferencesen
dc.titleA majorizing forecast of the earth population in a reduced resource-limited modelen
dc.typeConference paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
local.conference.name17th International Scientific and Practical Conference on State and Development Prospects of Agribusiness, INTERAGROMASH 2024en
local.conference.date2024-05-22 through 2024-05-25
local.volume113-
local.identifier.doi10.1051/bioconf/202411306021-
local.affiliationUral Federal University, Yekaterinburg, Sverdlovskaya, Russian Federationen
local.affiliationUral State Forest Engineering University, Yekaterinburg, Sverdlovskaya, Russian Federationen
local.contributor.employeeKashchenko, Mikhail P., Ural Federal University, Yekaterinburg, Sverdlovskaya, Russian Federation, Ural State Forest Engineering University, Yekaterinburg, Sverdlovskaya, Russian Federationen
local.contributor.employeeKashchenko, Nadezhda M., Ural Federal University, Yekaterinburg, Sverdlovskaya, Russian Federationen
local.identifier.eid2-s2.0-85197177459-
local.description.order6021
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