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森林砍伐与世界人口可持续性:定量分析。

Deforestation and world population sustainability: a quantitative analysis.

机构信息

Departamento de Ingeniería Eléctrica-Electrónica, Universidad de Tarapacá, Arica, Chile.

The Alan Turing Institute, London, UK.

出版信息

Sci Rep. 2020 May 6;10(1):7631. doi: 10.1038/s41598-020-63657-6.

Abstract

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.

摘要

本文从统计学角度定量分析了当前世界人口增长与森林砍伐平行过程的可持续性。我们考虑了一个基于随机增长过程的简化模型,该过程由连续时间随机游走驱动,描述了人类的技术进化,并结合了人类与森林相互作用的确定性广义 logistic 模型,评估了避免文明自我毁灭的概率。基于当前的资源消耗率和技术增长率的最佳估计,我们的研究表明,在没有灾难性崩溃的情况下,我们的生存概率非常低,最乐观的估计也不到 10%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5a3/7203172/05a077f61f30/41598_2020_63657_Fig1_HTML.jpg

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