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Deforestation and world population sustainability: a quantitative analysis
In this paper we afford a quantitative analysis of the sustainability of current world population growth in relation to the parallel deforestation process adopting a statistical point of view. We consider a simplified model based on a stochastic growth process driven by a continuous time random walk...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203172/ https://www.ncbi.nlm.nih.gov/pubmed/32376879 http://dx.doi.org/10.1038/s41598-020-63657-6 |
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author | Bologna, Mauro Aquino, Gerardo |
author_facet | Bologna, Mauro Aquino, Gerardo |
author_sort | Bologna, Mauro |
collection | PubMed |
description | In this paper we afford a quantitative analysis of the sustainability of current world population growth in relation to the parallel deforestation process adopting a statistical point of view. We consider a simplified model based on a stochastic growth process driven by a continuous time random walk, which depicts the technological evolution of human kind, in conjunction with a deterministic generalised logistic model for humans-forest interaction and we evaluate the probability of avoiding the self-destruction of our civilisation. Based on the current resource consumption rates and best estimate of technological rate growth our study shows that we have very low probability, less than 10% in most optimistic estimate, to survive without facing a catastrophic collapse. |
format | Online Article Text |
id | pubmed-7203172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72031722020-05-15 Deforestation and world population sustainability: a quantitative analysis Bologna, Mauro Aquino, Gerardo Sci Rep Article In this paper we afford a quantitative analysis of the sustainability of current world population growth in relation to the parallel deforestation process adopting a statistical point of view. We consider a simplified model based on a stochastic growth process driven by a continuous time random walk, which depicts the technological evolution of human kind, in conjunction with a deterministic generalised logistic model for humans-forest interaction and we evaluate the probability of avoiding the self-destruction of our civilisation. Based on the current resource consumption rates and best estimate of technological rate growth our study shows that we have very low probability, less than 10% in most optimistic estimate, to survive without facing a catastrophic collapse. Nature Publishing Group UK 2020-05-06 /pmc/articles/PMC7203172/ /pubmed/32376879 http://dx.doi.org/10.1038/s41598-020-63657-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Bologna, Mauro Aquino, Gerardo Deforestation and world population sustainability: a quantitative analysis |
title | Deforestation and world population sustainability: a quantitative analysis |
title_full | Deforestation and world population sustainability: a quantitative analysis |
title_fullStr | Deforestation and world population sustainability: a quantitative analysis |
title_full_unstemmed | Deforestation and world population sustainability: a quantitative analysis |
title_short | Deforestation and world population sustainability: a quantitative analysis |
title_sort | deforestation and world population sustainability: a quantitative analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203172/ https://www.ncbi.nlm.nih.gov/pubmed/32376879 http://dx.doi.org/10.1038/s41598-020-63657-6 |
work_keys_str_mv | AT bolognamauro deforestationandworldpopulationsustainabilityaquantitativeanalysis AT aquinogerardo deforestationandworldpopulationsustainabilityaquantitativeanalysis |