by Daniel Brouse

From Climate Shock to Food Disruption, Economic Shock, Migration, Political Instability, and Conflict

Abstract

Climate change is often discussed as a sequence of individual environmental impacts: higher temperatures, droughts, floods, crop failures, sea-level rise, wildfires, and ecosystem degradation. This framing can obscure a more consequential property of the climate system: climate shocks propagate through interconnected socioeconomic systems.

A drought does not end when rainfall declines. It can reduce crop production, increase food prices, damage household incomes, increase inflationary pressure, weaken economic stability, contribute to displacement and migration, intensify political tensions, and, under particular conditions, increase the risk of conflict. Conflict then further reduces the capacity of societies to adapt to subsequent climate shocks.

This paper describes that process as the Climate Domino Effect:

Climate disruption → crop losses → food prices → economic instability → migration → political instability → conflict → reduced adaptive capacity → greater vulnerability to the next climate shock

That is the Domino Effect. Denialism has become part of the feedback loop—delaying recognition, obstructing action, weakening resilience, and ultimately amplifying the consequences and accelerating the climate crisis.

This is not a claim that climate change mechanically causes war. Conflict has many causes, including governance failures, inequality, poverty, institutional weakness, geopolitical competition, and historical grievances. Rather, climate change can act as a risk multiplier, adding stress to systems already operating near their limits.

The distinction is important for understanding climate denialism. Denialism often treats climate impacts as isolated, manageable, or geographically contained. A systems perspective reveals a different problem: the impacts are coupled. As individual stresses interact, the resulting socioeconomic response can become nonlinear.

This concept also connects to the framework developed in Approaching Singularity: Third Derivatives, Nonlinear Collapse, and Coupled Climate–Economic Instability, which proposes that climate and economic systems should be examined not only through their levels and rates of change, but through changing rates of acceleration and increasingly strong coupling between subsystems.

The central warning is therefore not simply that climate change produces more damage. It is that climate shocks can progressively reduce the very economic, political, and institutional capacity required to respond to the next shock.

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1. Introduction: Climate Change Is a System Problem

Climate change is commonly represented as a gradual increase in global temperature. That representation is scientifically useful, but incomplete.

Temperature is only one variable in an interconnected Earth system. Climate change affects precipitation, soil moisture, agricultural productivity, water availability, ecosystems, ocean conditions, infrastructure, insurance markets, commodity prices, public finances, migration patterns, and political stability.

The consequences therefore do not remain within the physical climate system.

A climate shock can become an economic shock.

An economic shock can become a social shock.

A social shock can become a political shock.

And political instability can reduce a society’s ability to respond to the next physical shock.

The result is a feedback structure rather than a simple linear sequence.

The basic socioeconomic pathway can be represented as:

Climate disruption

↓

Crop losses

↓

Food prices

↓

Economic instability

↓

Migration

↓

Political instability

↓

Conflict

↓

Reduced adaptive capacity

↓

Greater vulnerability to subsequent climate disruption

This is the Domino Effect.

Each individual event may be understandable in isolation. The danger emerges from their interaction.

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2. The Climate Domino Effect

The term “domino effect” describes a system in which one event increases the probability of subsequent events.

In a climate–economic system, the dominoes are not independent.

They are coupled.

A drought can reduce agricultural production. Reduced production can increase prices. Higher prices can reduce household purchasing power. Economic stress can increase migration. Large-scale migration can place additional pressure on housing, infrastructure, labor markets, public services, and political institutions. Political instability can contribute to civil unrest or conflict in vulnerable settings.

The IPCC has explicitly identified cascading relationships among climate impacts, food insecurity, migration, political instability, and conflict. It also emphasizes that the relationship between climate change and conflict is mediated by factors such as governance, socioeconomic development, state capacity, inequality, and existing conflict.

This distinction is essential.

The Domino Effect is not:

Climate change causes war.

It is:

Climate change can introduce or intensify stresses that propagate through already vulnerable socioeconomic systems, increasing the probability of additional destabilizing outcomes.

That is a substantially more defensible proposition.

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3. First Domino: Climate Disruption

The first domino is the physical climate shock.

Examples include:

• drought
• extreme heat
• flooding
• wildfire
• changing precipitation
• prolonged growing-season disruption
• tropical cyclones
• compound heat and drought
• water scarcity
• ecosystem degradation

The critical feature is not simply the magnitude of an individual event.

It is the interaction between the event and the system receiving the shock.

A drought occurring in a resilient agricultural economy with abundant water reserves, strong infrastructure, functioning insurance markets, and substantial fiscal capacity may produce limited long-term disruption.

The same drought occurring in a poor region with depleted soils, limited irrigation, weak institutions, high food dependence, and existing political instability can produce cascading consequences.

Thus:

Climate risk = physical hazard × exposure × vulnerability × system connectivity

The same physical forcing can therefore produce radically different socioeconomic outcomes.

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4. Second Domino: Crop Losses

Food production is particularly sensitive to climate variability.

Agriculture depends simultaneously upon temperature, precipitation, soil moisture, water availability, growing-season timing, pollination, pests, disease, and ecosystem functioning.

Climate change can therefore affect food production through multiple pathways simultaneously.

The IPCC reports that climate change can increase food insecurity through direct effects on production as well as cascading effects on food prices and household incomes. It also identifies increasing risks to food production at higher warming levels.

This is where the Domino Effect begins to move from the physical climate system into the economic system.

A failed harvest is not merely an agricultural statistic.

It represents lost income for producers, reduced supply for consumers, increased demand for imports, increased competition for remaining supplies, and potentially higher government expenditures.

A local climate shock can consequently become a regional or global market shock.

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5. Third Domino: Food Prices

Food prices are a critical transmission mechanism.

When agricultural production declines while demand remains relatively stable, markets respond through price increases.

For wealthy households, a food-price increase may be inconvenient.

For households already spending a large fraction of their income on food, it can become an existential economic shock.

The IPCC identifies food-price increases associated with reduced agricultural production and global food-price shocks as an important pathway connecting climate variability with social and political instability.

The important nonlinear characteristic is that the social response to price increases is not necessarily proportional to the price increase.

A 5% increase may be absorbed.

A much larger increase may force households to:

• reduce food consumption
• substitute cheaper foods
• sell productive assets
• withdraw children from school
• take on debt
• migrate
• seek informal employment
• rely on government assistance

The economic system therefore has thresholds.

Once those thresholds are crossed, the response can change rapidly.

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6. Fourth Domino: Economic Instability

Food-price shocks rarely remain confined to food.

Food is part of the broader inflation system.

Agricultural losses can affect:

• consumer prices
• wages
• interest rates
• trade balances
• government subsidies
• household debt
• corporate profitability
• currency stability
• sovereign finances

At the same time, climate disasters impose direct costs through damaged infrastructure, lost production, insurance claims, emergency spending, and reconstruction.

The result can be a feedback loop:

Climate damage

↓

Economic losses

↓

Reduced fiscal capacity

↓

Reduced investment in resilience

↓

Greater vulnerability

↓

Larger future losses

This feedback is central to the coupled climate–economic framework developed in Approaching Singularity. That paper describes the interaction as:

increasing climate impacts → rising economic losses → reduced adaptive capacity → increased vulnerability → further impacts.

The critical concept is adaptive capacity.

A society does not merely experience climate shocks.

It can become less capable of absorbing them.

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7. Fifth Domino: Migration

When livelihoods become unsustainable, people move.

Migration is not inherently a failure.

Indeed, migration can be an important adaptation mechanism.

The World Bank identifies climate change as an increasingly important driver of internal migration because of impacts on livelihoods and the livability of exposed locations. Its Groundswell analysis projected that climate change could drive as many as 216 million internal migrants across six regions by 2050 under a pessimistic scenario, while also finding that early climate action and resilient development could substantially reduce the scale.

This distinction matters.

There are at least three possible responses to climate stress:

Adaptation

People change how and where they live.

Migration

People move toward areas with better economic and environmental conditions.

Forced displacement

People move because remaining has become dangerous or economically impossible.

The socioeconomic Domino Effect becomes particularly dangerous when large populations are forced to move while destination communities are simultaneously experiencing economic stress.

Migration then becomes another source of pressure on the receiving system.

---

8. Sixth Domino: Political Instability

Migration does not automatically produce political instability.

Political outcomes depend upon institutions, resources, public policy, social cohesion, inequality, and the capacity of governments to manage change.

But when climate-driven migration occurs simultaneously with food inflation, unemployment, housing shortages, fiscal stress, and declining public services, political tensions can increase.

The IPCC describes social tipping processes in which climate impacts interact with economic, social, and political stressors that reduce adaptive capacity and overwhelm resilience. Once such a threshold is crossed, mutually reinforcing instability can produce livelihood insecurity, migration, food insecurity, impoverishment, political conflict, and changes in political regimes.

This is an important concept:

A climate shock can weaken the political system’s ability to manage the next climate shock.

That is feedback.

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9. Seventh Domino: Conflict

Conflict is the most frequently overstated component of the climate Domino Effect.

Climate change does not have a simple causal relationship with armed conflict.

Wars have political, economic, historical, ethnic, religious, territorial, and geopolitical causes.

The scientific literature therefore generally treats climate change as one factor among many.

The IPCC reports that food-price increases associated with reduced agricultural production can be associated with conflict risk and civil unrest under certain circumstances. However, it also emphasizes that other factors—including poverty, weak governance, low state capacity, inequality, and existing conflict—can be more influential.

The correct systems interpretation is therefore:

Climate stress

Existing socioeconomic vulnerability

Weak institutions

Resource competition

Food insecurity

Political grievances

→

Increased risk of instability and conflict

Climate change can function as a risk multiplier rather than a single cause.

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10. The Final Domino: Reduced Adaptive Capacity

This is the most important part of the entire sequence.

The chain does not necessarily end with conflict.

Conflict can damage the very systems needed to adapt.

War can destroy:

• agricultural infrastructure
• roads
• electrical grids
• water systems
• hospitals
• schools
• housing
• financial institutions
• government capacity

It can also divert resources from adaptation toward emergency security spending.

The resulting feedback becomes:

Climate disruption

↓

Crop losses

↓

Food-price increases

↓

Economic instability

↓

Migration

↓

Political instability

↓

Conflict

↓

Infrastructure and institutional damage

↓

Reduced adaptive capacity

↓

Greater vulnerability

↓

Larger consequences from the next climate shock

This transforms the original sequence into a positive feedback loop.

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11. From Dominoes to Feedback

The distinction between a sequence and a feedback loop is fundamental.

A simple sequence would be:

A → B → C → D

A feedback system is:

A → B → C → D → A

The second system behaves very differently.

Once the final state feeds back into the initial condition, the system can amplify itself.

The climate–economic system can therefore be represented as:

Climate shock

→ agricultural disruption

→ food-price shock

→ economic stress

→ migration

→ political instability

→ conflict

→ reduced adaptive capacity

→ increased vulnerability to climate shock

This is no longer merely a chain of events.

It is a coupled nonlinear system.

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12. Connection to “Approaching Singularity”

The framework developed in Approaching Singularity: Third Derivatives, Nonlinear Collapse, and Coupled Climate–Economic Instability argues that climate and economic systems should be examined as coupled systems rather than isolated variables. The paper proposes that increasing impacts, increasing acceleration, and potentially increasing acceleration of impacts can create a regime characterized by nonlinear amplification, increasing instability, and declining predictability.

The paper expresses the conceptual progression as:

dI/dt > 0

Impacts are increasing.

d²I/dt² > 0

The rate of increase is accelerating.

d³I/dt³ > 0

The acceleration itself is increasing.

The third derivative should be understood carefully. Its existence in a particular dataset does not by itself establish that the entire climate–economic system is approaching a mathematical singularity. That stronger interpretation requires rigorous statistical testing, robust datasets, uncertainty analysis, and careful specification of the underlying variables.

But the conceptual value of the framework is substantial.

It focuses attention on a question often missed by conventional trend analysis:

Is the system merely changing faster, or is the rate at which it is changing itself changing?

That question becomes especially important when climate and socioeconomic processes are coupled.

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13. Climate Shock and Economic Shock Are Not Independent

Traditional economic analysis often treats climate damage as an external shock.

A hurricane damages infrastructure.

A drought reduces agricultural output.

A flood damages property.

The economic model then calculates the resulting loss.

But a coupled system behaves differently.

Climate change can alter the economic system’s underlying conditions.

For example:

Climate warming

→ higher disaster losses

→ higher insurance costs

→ insurance withdrawal

→ falling property values

→ reduced investment

→ weaker tax base

→ reduced government capacity

→ less adaptation

→ greater future losses

This is a feedback loop rather than a one-time economic loss.

Approaching Singularity identifies several economic mechanisms that can amplify climate impacts, including infrastructure stress, insurance-market withdrawal, capital mispricing, and sovereign fiscal pressure.

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14. Why Denialism Is Particularly Dangerous in a Coupled System

Denialism is often understood as simply rejecting climate science.

That is too narrow.

In a complex system, denial can also take the form of fragmentation.

One accepts:

• droughts

but rejects their connection to food prices.

One accepts:

• food inflation

but rejects its relationship to climate disruption.

One accepts:

• migration

but treats it as entirely independent of environmental conditions.

One accepts:

• political instability

but ignores the cumulative stresses preceding it.

One accepts:

• conflict

but treats it as unrelated to the underlying resource and economic stresses.

The result is a fragmented interpretation of a coupled system.

Each domino is acknowledged individually while the chain connecting them is denied.

This is a particularly powerful form of denial because no single statement necessarily has to be false.

The denial occurs at the level of system relationships.

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15. The Denialism of “It’s Only Weather”

A drought can be dismissed as weather.

A flood can be dismissed as weather.

A hurricane can be dismissed as weather.

A heat wave can be dismissed as weather.

But climate change does not require every individual event to be unprecedented.

The relevant question is whether changing climatic conditions alter the frequency, intensity, persistence, spatial distribution, or consequences of hazards.

The economic system then integrates those events over time.

One flood may be recoverable.

Repeated floods can destroy insurability.

One drought may be manageable.

Repeated droughts can exhaust groundwater and financial reserves.

One food-price shock may be absorbed.

Repeated shocks can destabilize household finances and government budgets.

Thus the relevant variable is not merely:

How bad was this event?

It is also:

How frequently are shocks occurring, how strongly are they interacting, and how much recovery capacity remains between them?

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16. The Recovery-Time Problem

This introduces another important nonlinear mechanism.

Suppose a society experiences:

Shock → recovery → shock → recovery → shock

If recovery occurs completely between shocks, resilience may remain relatively stable.

But suppose:

Shock → partial recovery → shock → partial recovery → shock

Now damage accumulates.

Eventually:

Shock → insufficient recovery → shock → insufficient recovery → systemic stress

The system’s state changes even if the individual shocks do not become dramatically larger.

This produces an important climate-risk concept:

The danger may arise not only from stronger shocks, but from shorter intervals between shocks.

If the recovery time becomes longer than the interval between disturbances, cumulative vulnerability increases.

That provides another mechanism connecting climate acceleration to socioeconomic instability.

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17. The Domino Effect and Adaptive Capacity

Adaptive capacity should therefore be treated as a dynamic variable.

It is not a fixed characteristic of a country.

It can increase through:

• infrastructure investment
• diversified food systems
• resilient agriculture
• stronger institutions
• disaster preparedness
• social safety nets
• economic diversification
• ecosystem restoration
• climate mitigation

But it can also decline through:

• repeated disasters
• debt
• economic contraction
• infrastructure destruction
• institutional breakdown
• conflict
• displacement
• loss of human capital

Thus:

Adaptive capacity ↑ → vulnerability ↓

but:

Climate shocks ↑ → economic damage ↑ → adaptive capacity ↓ → vulnerability ↑

This creates the possibility of a dangerous feedback:

The more shocks a vulnerable system experiences, the less capable it may become of absorbing the next shock.

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18. Why the Domino Effect Is Not Deterministic

A critical qualification must remain central.

The Domino Effect is a risk framework, not a deterministic prediction.

Climate disruption does not inevitably produce:

crop failure → famine → migration → war.

Societies can interrupt the chain.

For example:

Climate shock

→ agricultural loss

→ emergency food imports

→ targeted financial assistance

→ infrastructure investment

→ successful recovery

The dominoes stop.

That is precisely why adaptive capacity matters.

Institutions can absorb shocks.

Markets can redistribute resources.

Governments can provide assistance.

Communities can adapt.

International cooperation can reduce cascading effects.

The existence of nonlinear risk does not mean collapse is inevitable.

It means that the consequences of failing to interrupt the cascade can become disproportionately large.

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19. The Strategic Implication

The most effective response to the Domino Effect is therefore not simply to address each domino independently.

It is to strengthen the connections that can stop the cascade.

Prevent crop losses

through:

• resilient agriculture
• water management
• soil conservation
• ecosystem protection
• crop diversification

Reduce food-price shocks

through:

• diversified supply chains
• strategic reserves
• social safety nets
• reduced dependence on vulnerable production regions

Protect economic stability

through:

• resilient infrastructure
• appropriate insurance mechanisms
• diversified economies
• climate-risk disclosure
• fiscal preparedness

Manage migration

through:

• planned relocation
• adaptation investment
• housing
• infrastructure
• employment opportunities

Strengthen political stability

through:

• effective institutions
• equitable resource allocation
• transparent governance
• social protection

Reduce conflict risk

through:

• diplomacy
• resource cooperation
• humanitarian assistance
• conflict prevention
• international coordination

Every intervention that prevents one domino from falling can prevent the next domino from falling.

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20. Climate Denialism Versus Systems Thinking

The fundamental difference can therefore be summarized as follows.

Fragmented thinking

Drought is weather.

Food prices are economics.

Migration is politics.

Conflict is geopolitics.

Climate change is an environmental issue.

Each problem is placed into a separate category.

Systems thinking

Climate disruption can affect agriculture.

Agricultural disruption can affect food prices.

Food prices can affect household and national economies.

Economic stress can affect migration.

Migration and economic stress can affect political stability.

Political instability can increase conflict risk.

Conflict can destroy adaptive capacity.

Reduced adaptive capacity increases vulnerability to the next climate shock.

The second framework recognizes the connections between systems.

That is the essential insight of the Domino Effect.

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21. Toward a Coupled Climate–Economic Risk Framework

The next generation of climate-risk analysis should therefore move beyond isolated measurements.

Instead of asking only:

How much has global temperature increased?

we should also ask:

• How quickly are climate impacts changing?
• How quickly are they accelerating?
• How frequently are shocks occurring?
• How much recovery occurs between shocks?
• Which systems are coupled?
• Where are thresholds emerging?
• Is adaptive capacity increasing or decreasing?
• Are climate shocks beginning to synchronize with economic shocks?
• Are socioeconomic feedbacks amplifying physical climate impacts?

This is the conceptual bridge between the Domino Effect and the singularity framework.

The objective is not to predict a precise date of collapse.

It is to identify whether a system is moving from:

stable

→ stressed

→ nonlinear

→ self-amplifying

→ potentially unstable

before the final transition occurs.

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22. Conclusion

Climate change is not simply a collection of environmental problems.

It is a source of systemic risk.

A climate shock can become a food shock.

A food shock can become an economic shock.

An economic shock can become a migration shock.

Migration and economic stress can contribute to political instability.

Political instability can increase the risk of conflict.

Conflict can destroy infrastructure, institutions, human capital, and financial resources.

Those losses reduce adaptive capacity.

Reduced adaptive capacity increases vulnerability to the next climate shock.

The resulting system can therefore be represented as:

Climate disruption → crop losses → food prices → economic instability → migration → political instability → conflict → reduced adaptive capacity → greater climate vulnerability

This is the Climate Domino Effect. Denialism has become part of the feedback loop—delaying recognition, obstructing action, weakening resilience, and ultimately amplifying the consequences and accelerating the climate crisis.

Its significance lies not in claiming that climate change inevitably produces any particular social outcome. Rather, it demonstrates how climate stress can propagate through interconnected systems and how those systems can feed back upon one another.

That is precisely why climate denialism is so consequential.

When the problem is treated as a collection of isolated events, each domino can be dismissed individually.

When the problem is understood as a coupled system, the relationships become impossible to ignore.

The central risk is therefore not merely that climate change produces increasingly severe individual events.

It is that the interval between shocks may shrink, the interactions among shocks may strengthen, and the capacity to recover may decline.

At that point, the climate system and socioeconomic system are no longer responding independently.

They are interacting.

And when interconnected systems begin amplifying one another, the rate of change can become as important as the amount of change itself.

That is the central question raised by the coupled climate–economic framework:

Are we approaching a regime in which climate impacts, economic instability, and declining adaptive capacity increasingly reinforce one another?

Answering that question requires moving beyond temperature alone and toward a systems-based analysis of energy, acceleration, coupling, thresholds, feedbacks, and resilience.

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References

Brouse, D., & Mukherjee, S. (2026). Approaching Singularity: Third Derivatives, Nonlinear Collapse, and Coupled Climate–Economic Instability. The paper develops the third-derivative/accelerating-acceleration framework and examines nonlinear coupling between climate and economic systems.

IPCC (2022). Climate Change 2022: Impacts, Adaptation and Vulnerability — Chapter 5: Food, Fibre and Other Ecosystem Products. The IPCC documents cascading relationships among climate impacts, food production, food prices, household incomes, food insecurity, migration, political instability, and conflict.

IPCC (2022). Climate Change 2022: Impacts, Adaptation and Vulnerability — Figure 8.11. The IPCC describes social tipping points in which climate impacts interact with economic, social, and political stressors, reducing adaptive capacity and potentially producing cascading instability.

IPCC (2022). Climate Change 2022: Impacts, Adaptation and Vulnerability — Chapter 7. The IPCC reviews pathways connecting climate variability, food-price shocks, civil unrest, migration, and conflict while emphasizing the importance of governance and socioeconomic conditions.

World Bank (2021). Groundswell: Acting on Internal Climate Migration. The World Bank identifies climate change as an increasingly important driver of internal migration and projects substantial climate-related population movement under higher-impact scenarios.

World Bank (2024). Country Climate and Development Reports — From Climate Crisis to a New Development Agenda. The World Bank documents the interaction among climate shocks, food insecurity, livelihoods, migration, and development vulnerability.