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Electronic archive of the Ural State Forest Engineering University
Article . 2017
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Редукционный переход и прогноз динамики численности населения земли в моделях, учитывающих ресурсные ограничения

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2017 Russian Federation Russian Publisher:УГЛТУ

Редукционный переход и прогноз динамики численности населения земли в моделях, учитывающих ресурсные ограничения

Abstract

Обсуждаются особенности эволюции численности населения Земли. Делается вывод о редукционном переходе, который проявляется в изменении динамической модели, учитывающей ресурсные ограничения. Дается прогноз численности населения. Проводится обсуждение результатов. The features of the evolution of the Earth’s population number are discussed. A conclusion is drawn on the reduction transition which manifests itself in a change of the dynamic model that takes into account resource constraints. The population forecast is given. Discussion of results is in progress.

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Russian Federation
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Keywords

РЕСУРСНЫЕ ОГРАНИЧЕНИЯ, REDUCTION TRANSITION, ФЕНОМЕНОЛОГИЧЕСКИЕ МОДЕЛИ, РЕДУКЦИОННЫЙ ПЕРЕХОД, DYNAMICS OF GROWTH, RESOURCE CONSTRAINTS, ПРОГНОЗ ЧИСЛЕННОСТИ НАСЕЛЕНИЯ, PHENOMENOLOGICAL MODELS, ДИНАМИКА РОСТА, POPULATION OF THE EARTH, НАСЕЛЕНИЕ ЗЕМЛИ, POPULATION FORECAST

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green