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Global polycrisis: the causal mechanisms of crisis entanglement

Published online by Cambridge University Press:  17 January 2024

Michael Lawrence*
Affiliation:
The Cascade Institute, Royal Roads University, Victoria V9B 5Y2, Canada
Thomas Homer-Dixon
Affiliation:
The Cascade Institute, Royal Roads University, Victoria V9B 5Y2, Canada
Scott Janzwood
Affiliation:
The Cascade Institute, Royal Roads University, Victoria V9B 5Y2, Canada
Johan Rockström
Affiliation:
Potsdam Institute for Climate Impact Research, Potsdam 14473, Germany
Ortwin Renn
Affiliation:
Research Institute for Sustainability, Helmholtz Centre Potsdam, Potsdam D-14467, Germany
Jonathan F. Donges
Affiliation:
Potsdam Institute for Climate Impact Research, Potsdam 14473, Germany Stockholm Resilience Centre, Stockholm University, Stockholm SE-106 91, Sweden
*
Corresponding author: Michael Lawrence; Email: lawrence@cascadeinstitute.org

Abstract

Multiple global crises – including the pandemic, climate change, and Russia's war on Ukraine – have recently linked together in ways that are significant in scope, devastating in effect, but poorly understood. A growing number of scholars and policymakers characterize the situation as a ‘polycrisis’. Yet this neologism remains poorly defined. We provide the concept with a substantive definition, highlight its value-added in comparison to related concepts, and develop a theoretical framework to explain the causal mechanisms currently entangling many of the world's crises. In this framework, a global crisis arises when one or more fast-moving trigger events combine with slow-moving stresses to push a global system out of its established equilibrium and into a volatile and harmful state of disequilibrium. We then identify three causal pathways – common stresses, domino effects, and inter-systemic feedbacks – that can connect multiple global systems to produce synchronized crises. Drawing on current examples, we show that the polycrisis concept is a valuable tool for understanding ongoing crises, generating actionable insights, and opening avenues for future research.

Non-technical summary

The term ‘polycrisis’ appears with growing frequently to capture the interconnections between global crises, but the word lacks substantive content. In this article, we convert it from an empty buzzword into a conceptual framework and research program that enables us to better understand the causal linkages between contemporary crises. We draw upon the intersection of climate change, the covid-19 pandemic, and Russia's war in Ukraine to illustrate these causal interconnections and explore key features of the world's present polycrisis.

Technical summary

Multiple global crises – including the pandemic, climate change, and Russia's war on Ukraine – have recently linked together in ways that are significant in scope, devastating in effect, but poorly understood. A growing number of scholars and policymakers characterize the situation as a ‘polycrisis’. Yet this neologism remains poorly defined. We provide the concept with a substantive definition, highlight its value-added in comparison to related concepts, and develop a theoretical framework to explain the causal mechanisms currently entangling many of the world's crises. In this framework, a global crisis arises when one or more fast-moving trigger events combines with slow-moving stresses to push a global system out of its established equilibrium and into a volatile and harmful state of disequilibrium. We then identify three causal pathways – common stresses, domino effects, and inter-systemic feedbacks – that can connect multiple global systems to produce synchronized crises. Drawing on current examples, we show that the polycrisis concept is a valuable tool for understanding ongoing crises, generating actionable insights, and opening avenues for future research.

Social media summary

No longer a mere buzzword, the ‘polycrisis’ concept highlights causal interactions among crises to help navigate a tumultuous future.

Information

Type
Review Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press
Figure 0

Figure 1. Global systems. Following Donella Meadows and Diana Wright (2008), a system is a collection of elements whose connections create some sort of whole with its own qualities. In ‘global’ systems, these three aspects extend over virtually all of humanity and/or the planet. The elements of global systems include agents (such as species, individuals, and organizations) and physical infrastructure (from server farms to ice sheets to cities). In human social systems, elements may also include such entities as worldviews (beliefs about how the world is and how it ought to be), institutions (rules of appropriate behavior), and technologies (procedures for directing physical phenomena to human purposes) (Beddoe et al., 2009). Connections between these elements are their circumplanetary exchanges of energy, material, information, and biota (the ‘vectors’ discussed in Box 1) through the ‘conduits’ outlined in Box 1. The eight global systems presented here are defined, as ‘wholes’, by the functions they perform in global life. We offer them as one plausible schema by which to disaggregate a messy reality for the purpose of polycrisis analysis. The notion that crises can travel across global systems presumes that we can identify distinct global systems, but discerning their boundaries remains a challenge, because complex systems are, by definition, open to exchanges with their environment; they change and co-evolve, which is (in part) what makes the concept of polycrisis so salient. Figure design by Jacob Buurma, Vibrant Content.

Figure 1

Figure 2. Crisis amplification and acceleration. This waveform diagram metaphorically illustrates the distinction between amplification and acceleration processes. The wave's increasing amplitude (increasing height and depth of peaks) and increasing frequency (decreasing space between peaks) represent, respectively, the amplification and acceleration of system perturbations. Event peaks that pass certain harm thresholds that are normatively defined by society (represented by the red dotted lines) constitute crises.

Figure 2

Figure 3. Crisis synchronization. A real-world analogy demonstrates how a conduit can transmit a vector in a way that synchronizes systems. When several metronomes are placed on a sliding platform, each set to the same tempo but started out of rhythm with the others, they will quickly synchronize their oscillations – that is, fall into the same rhythm. The platform (conduit) transmits the kinetic energy (vector) generated by each metronome (a system) to the other metronomes. When two metronomes happen to align in rhythm, their combined force keeps them in time with one another, and the energy they jointly communicate through the platform increases, encouraging other metronomes to adopt the same rhythm, until all the metronomes on the platform swing in unison. The process constitutes a positive feedback that, though invisible to the untrained observer, produces a striking effect – inter-systemic synchronization. Figure design by Jacob Buurma, Vibrant Content.

Figure 3

Figure 4. Basic model of systemic crisis. In (a), stresses interact with a trigger in a single system to generate a crisis. The multiplication sign indicates that stresses and trigger are both causally necessary for the crisis outcome and that the trigger multiplies the impact of the underlying stresses. Figure (b) represents the above process using a ‘stability landscape’, which is a visual metaphor depicting stability and change in complex systems (Folke et al., 2010; Walker et al., 2004). The horizontal axis represents the range of possible system states defined by different values of the system's core state variables; it condenses (figuratively) an n-dimensional state space into one dimension. The vertical axis represents the degree of system stability; lower positions denote greater stability (and therefore greater probability) than higher ones. The ball represents the system's state – the values of its core state variables – at a particular moment in time. The ball tends to roll downwards – toward higher probability states – as if drawn by gravity toward greater stability into a ‘basin of attraction’. But the ball never entirely settles at the bottom of its basin; instead, it is constantly jostled within the basin by the system's internal processes and by perturbations from its surrounding environment.Each basin represents a dynamic equilibrium – a set of feedbacks and relationships that constrain the system's behaviors and provide long-term stability amidst its short-term fluctuations; together the basins keep the system state in bounded regions of the full landscape. A critical transition (also known as a ‘regime shift’) occurs when a perturbation pushes the system from an established equilibrium into a different one that encompasses a different set of system states and behaviors. Once a system is forced out of equilibrium, it may move into a different basin and thereby complete a critical transition, it may return to its original equilibrium (if antecedent conditions are restored), or it may move around the landscape without settling. The latter situation constitutes a systemic crisis – an incomplete critical transition in which the system has left one basin of attraction but not yet settled into another, and thus remains in a highly unstable and potentially harmful state. Figure (b) illustrates how system stresses can act to make a basin of attraction shallower, so that a trigger event can more easily push the system out of equilibrium.

Figure 4

Figure 5. Crisis interactions within a single system. (a) In some cases, a trigger event is the final increment of a slowly building stress that pushes the system past a critical threshold and out of its equilibrium, like the proverbial straw that broke the camel's back. In such cases, the stress and the trigger event both relate to the same accumulating pressure. Climate heating, for example, is a long-term stress, but the final increment of heating that ‘flips’ a climate tipping element to a new regime constitutes the trigger event that pushes the climate system into crisis. (b) A crisis may feed back upon the stresses and/or trigger event that produced it. A financial crisis, for example, could worsen the stress of massive public and private debt that, in part, enabled the crisis to emerge. A financial crisis could also intensify (or repeat) its own trigger event, by spurring further inflation or interest rate hikes, for instance.

Figure 5

Figure 6. Crisis interactions between multiple systems. (a) Common stresses. The same stress (indicated by the green boxes) may affect two or more systems. An aging population, for example, places additional demands on healthcare systems. It also strains the economy by diminishing the workforce while increasing government spending on healthcare and social welfare. (b) Common triggers. The same trigger (indicated by the green boxes) may interact with stresses in several systems to produce multiple crises. Russia's invasion of Ukraine and the sanctions imposed in response, for example, triggered a crisis in the energy system and in the food system. (c) Interacting stresses. A stress in one system may causally interact with a stress in a second system, which could then affect the stress in the first system (as indicated by the blue arrow denoting a causal relationship). Food insecurity, for example, forces the poor to devote a major portion of their income to their alimentary needs rather than education, investment, and enterprise. The result is greater poverty and inequality in the economic system, which may then lower incomes and worsen food insecurity for the most vulnerable segments of society. (d) Inter-systemic stress-trigger interactions. A stress in one system may generate a trigger event in another system. By disrupting habitats, for example, climate heating in the Earth system increases the zone of contact between humans and unfamiliar animal species, which increases the likelihood of a zoonotic (animal to human) viral transfer that triggers a pandemic. (e) Crisis impacts on adjacent systems. A crisis in one system may causally affect the stresses and/or trigger event of another system. The Covid-19 pandemic, for example, deepened the stress of socio-economic inequality, while aggressive fiscal responses by governments triggered inflation. (f) Inter-systemic crisis interactions. A crisis in one system may causally interact with a crisis in another system, altering the dynamics of each. An international security crisis, for example, can worsen the climate crisis by diverting urgently needed attention and resources from climate action, while the climate crisis can intensify an international security crisis by escalating conflict over resources and propelling mass migration.

Figure 6

Figure 7. An example of interactions between multiple systems. A pandemic crisis arising from the human-viral ecological system triggers a crisis in the healthcare system, which then further amplifies the pandemic crisis. This example uses elements of the ideal types shown in Figures 6e and 6f.

Figure 7

Figure 8. Domino effects in the global polycrisis. Figure design by Jacob Buurma, Vibrant Content.

Figure 8

Figure 9. Inter-systemic feedback loops in the global polycrisis. Figure design by Jacob Buurma, Vibrant Content.