Determinants of successful mitigation in coupled social-climate dynamics

Author:

Shu Longmei1ORCID,Fu Feng12ORCID

Affiliation:

1. Department of Mathematics, Dartmouth College, 27 N. Main Street, Hanover, NH 03755, USA

2. Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA

Abstract

Understanding the impact of human behaviour is crucial for successful mitigation of climate change across the globe. To shed light onto this issue, here we couple the forest dieback model with human behaviours. Using evolutionary game theory, we build a time-delay system where forest growth is impacted by both temperature and human mitigation choices, the latter being informed by temperature forecasts. Simulations of the coupled system over 200 years show us the varying outcomes: forest dies out and no one is a mitigator, forest dies out and everyone is a mitigator, or the forest survives and everyone is a mitigator. There exist rare cases where no one is a mitigator and yet the forest survives, but with a low coverage. We also find occasional oscillations where the proportion of mitigators vary between 0 and 1. Our results are based on simple models but have profound insights into determinants of behaviour changes desired in social-climate dynamics.

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Social norms and cooperation in higher-order networks;Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences;2024-07

2. Coevolutionary dynamics of collective cooperation and dilemma strength in a collective-risk game;Physical Review Research;2024-06-24

3. The paradigm of tax-reward and tax-punishment strategies in the advancement of public resource management dynamics;Proceedings of the Royal Society B: Biological Sciences;2024-06

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