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Hauptverfasser: Maghsoodlo, Yazdan Babazadeh, Anand, Madhur, Bauch, Chris T.
Format: Preprint
Veröffentlicht: 2025
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Online-Zugang:https://arxiv.org/abs/2501.14096
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author Maghsoodlo, Yazdan Babazadeh
Anand, Madhur
Bauch, Chris T.
author_facet Maghsoodlo, Yazdan Babazadeh
Anand, Madhur
Bauch, Chris T.
contents Social behaviour models are increasingly integrated into climate change studies, and the significance of climate tipping points for `runaway' climate change is well recognised. However, there has been insufficient focus on tipping points in social-climate dynamics. We developed a coupled social-climate model consisting of an Earth system model and a social behaviour model, both with tipping elements. The social model explores opinion formation by analysing social learning rates, the net cost of mitigation, and the strength of social norms. Our results indicate that the net cost of mitigation and social norms have minimal impact on tipping points when social norms are weak. As social norms strengthen, the climate tipping point can trigger a tipping element in the social model. However, faster social learning can delay or prevent the climate tipping point: sufficiently fast social learning means growing climate change mitigation can outpace the oncoming climate tipping point, despite social-climate feedback. By comparing high- and low-risk scenarios, we demonstrated high-risk scenarios increase the likelihood of tipping points. We also illustrate the role of a critical temperature anomaly in triggering tipping points. In conclusion, understanding social behaviour dynamics is vital for predicting climate tipping points and mitigating their impacts.
format Preprint
id arxiv_https___arxiv_org_abs_2501_14096
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Social dynamics can delay or prevent climate tipping points by speeding the adoption of climate change mitigation
Maghsoodlo, Yazdan Babazadeh
Anand, Madhur
Bauch, Chris T.
Dynamical Systems
Physics and Society
Social behaviour models are increasingly integrated into climate change studies, and the significance of climate tipping points for `runaway' climate change is well recognised. However, there has been insufficient focus on tipping points in social-climate dynamics. We developed a coupled social-climate model consisting of an Earth system model and a social behaviour model, both with tipping elements. The social model explores opinion formation by analysing social learning rates, the net cost of mitigation, and the strength of social norms. Our results indicate that the net cost of mitigation and social norms have minimal impact on tipping points when social norms are weak. As social norms strengthen, the climate tipping point can trigger a tipping element in the social model. However, faster social learning can delay or prevent the climate tipping point: sufficiently fast social learning means growing climate change mitigation can outpace the oncoming climate tipping point, despite social-climate feedback. By comparing high- and low-risk scenarios, we demonstrated high-risk scenarios increase the likelihood of tipping points. We also illustrate the role of a critical temperature anomaly in triggering tipping points. In conclusion, understanding social behaviour dynamics is vital for predicting climate tipping points and mitigating their impacts.
title Social dynamics can delay or prevent climate tipping points by speeding the adoption of climate change mitigation
topic Dynamical Systems
Physics and Society
url https://arxiv.org/abs/2501.14096