Harmful tipping points in the natural world pose some of the gravest threats faced by humanity. Their triggering will severely damage our planet’s life-support systems and threaten the stability of our societies.
In the Summary Report:
• Narrative summary
• Global tipping points infographic
• Key messages
• Key Recommendations
Executive summary
• Section 1
• Section 2
• Section 3
• Section 4
This report is for all those concerned with tackling escalating Earth system change and mobilising transformative social change to alter that trajectory, achieve sustainability and promote social justice.
In this section:
• Foreword
• Introduction
• Key Concepts
• Approach
• References
Considers Earth system tipping points. These are reviewed and assessed across the three major domains of the cryosphere, biosphere and circulation of the oceans and atmosphere. We then consider the interactions and potential cascades of Earth system tipping points, followed by an assessment of early warning signals for Earth system tipping points.
Considers tipping point impacts. First we look at the human impacts of Earth system tipping points, then the potential couplings to negative tipping points in human systems. Next we assess the potential for cascading and compounding systemic risk, before considering the potential for early warning of impact tipping points.
Considers how to govern Earth system tipping points and their associated risks. We look at governance of mitigation, prevention and stabilisation then we focus on governance of impacts, including adaptation, vulnerability and loss and damage. Finally, we assess the need for knowledge generation at the science-policy interface.
Focuses on positive tipping points in technology, the economy and society. It provides a framework for understanding and acting on positive tipping points. We highlight illustrative case studies across energy, food and transport and mobility systems, with a focus on demand-side solutions (which have previously received limited attention).
To understand the changing resilience of the incumbent, ICEV-dominated, system prior to an EV tipping point, we can use the same approach to analyse market share, rather than total sales of ICEVs. In the UK, France, Germany and China, the market share underwent a gradual change from January 2009 to December 2019, with ICEVs losing ground, prior to a dramatic and abrupt change in 2020 caused by a surge in sales of EVs and PHEVs (Figure 4.4.10). Conversely, the US has not yet experienced abrupt change, with ICEVs still accounting for the majority of sales.
AR(1) and variance, as measured across a moving window, increase in three of the four markets that show a tipping point – UK, France and China – however the change in AR(1) is not convincing in Germany. In the US, which does not show this tipping point behaviour, the trend in AR(1) and variance is not positive, as we may expect.
Therefore for some of the markets that are currently experiencing an EV transition, the tipping point was preceded by changes in statistical measures that we observe in natural ecosystem tipping points. This suggests that these changes may be detectable prior to these socio-technical tipping points and could provide a way to monitor when social systems are losing resilience.