A Seneca Collapse for the World’s Human Population?

Most scenarios for the world’s human population predict continued growth into the 22nd century, while some indicate that it could stabilize or begin to fall before 2100. Almost always, decline is seen as not being faster than the preceding growth. Different scenarios are obtained if we consider the...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Ugo Bardi
Formato: article
Lenguaje:EN
Publicado: The White Horse Press 2018
Materias:
Acceso en línea:https://doaj.org/article/c408b4cd97b4444e96a91eb7cb31016d
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:c408b4cd97b4444e96a91eb7cb31016d
record_format dspace
spelling oai:doaj.org-article:c408b4cd97b4444e96a91eb7cb31016d2021-12-02T19:08:47ZA Seneca Collapse for the World’s Human Population?2398-54882398-5496https://doaj.org/article/c408b4cd97b4444e96a91eb7cb31016d2018-05-01T00:00:00Zhttps://whp-journals.co.uk/JPS/article/view/623https://doaj.org/toc/2398-5488https://doaj.org/toc/2398-5496 Most scenarios for the world’s human population predict continued growth into the 22nd century, while some indicate that it could stabilize or begin to fall before 2100. Almost always, decline is seen as not being faster than the preceding growth. Different scenarios are obtained if we consider the human population as a complex system, subject to the general rules that govern complex systems, in particular their tendency to show rapid changes which – in the case of populations – may take the shape of true collapses (defined here as “Seneca Collapses”). The present survey examines a small number of examples of rapid population collapses in the human and in the animal domains. While not pretending to be exhaustive, the data presented here show that biological populations do show rapid “Seneca-style” collapses. So, it is possible that the same phenomenon could occur for the world’s human population. Ugo BardiThe White Horse PressarticleEnvironmental sciencesGE1-350Demography. Population. Vital eventsHB848-3697ENThe Journal of Population and Sustainability, Vol 2, Iss 2 (2018)
institution DOAJ
collection DOAJ
language EN
topic Environmental sciences
GE1-350
Demography. Population. Vital events
HB848-3697
spellingShingle Environmental sciences
GE1-350
Demography. Population. Vital events
HB848-3697
Ugo Bardi
A Seneca Collapse for the World’s Human Population?
description Most scenarios for the world’s human population predict continued growth into the 22nd century, while some indicate that it could stabilize or begin to fall before 2100. Almost always, decline is seen as not being faster than the preceding growth. Different scenarios are obtained if we consider the human population as a complex system, subject to the general rules that govern complex systems, in particular their tendency to show rapid changes which – in the case of populations – may take the shape of true collapses (defined here as “Seneca Collapses”). The present survey examines a small number of examples of rapid population collapses in the human and in the animal domains. While not pretending to be exhaustive, the data presented here show that biological populations do show rapid “Seneca-style” collapses. So, it is possible that the same phenomenon could occur for the world’s human population.
format article
author Ugo Bardi
author_facet Ugo Bardi
author_sort Ugo Bardi
title A Seneca Collapse for the World’s Human Population?
title_short A Seneca Collapse for the World’s Human Population?
title_full A Seneca Collapse for the World’s Human Population?
title_fullStr A Seneca Collapse for the World’s Human Population?
title_full_unstemmed A Seneca Collapse for the World’s Human Population?
title_sort seneca collapse for the world’s human population?
publisher The White Horse Press
publishDate 2018
url https://doaj.org/article/c408b4cd97b4444e96a91eb7cb31016d
work_keys_str_mv AT ugobardi asenecacollapsefortheworldshumanpopulation
AT ugobardi senecacollapsefortheworldshumanpopulation
_version_ 1718377174676799488