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Climate Conflict Food Nexus

topic v1.0.1 2026-04-06 Agent-extracted

The causal chain from climate shocks through agricultural disruption to food insecurity, displacement, and armed conflict. Maps the transmission mechanisms and compounding effects across environmental, food system, and political violence domains.

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Domain: Climate-Conflict-Food Nexus

Causal pathways linking climate variability and extreme weather to food insecurity, livelihood collapse, displacement, and armed conflict. Covers drought-crop failure-hunger chains, resource competition as conflict driver, and compounding shocks.

Period: 1990-present Population: Countries and subnational regions Level: cross-level

Overview

8
Constructs
7
Findings
2
Engines

Constructs

drought_severity_index Drought Severity Index

Standardized Precipitation Index (SPI) or Palmer Drought Severity Index (PDSI) measuring meteorological drought intensity. Negative values indicate drought; values below -2.0 indicate extreme drought. Key trigger for crop failure in rain-fed agricultural systems.

crop_failure_index Crop Failure Index

Agricultural production shortfall relative to 5-year moving average. Captures acute food supply shocks from weather, pests, or conflict. Directly links climate variability to food availability.

livelihood_vulnerability Livelihood Vulnerability

Dependence on climate-sensitive livelihoods (rain-fed farming, pastoralism, fishing) without diversification or buffering capacity. High vulnerability means climate shocks translate directly to food insecurity and displacement.

resource_competition Resource Competition

Competition over scarce natural resources (water, pasture, arable land) as a driver of communal violence and armed conflict. Intensified by climate change reducing resource availability and demographic pressure increasing demand.

food_riot_incidence Food Riot Incidence

Occurrence of food-price-triggered social unrest, protests, or riots. Food price spikes have historically triggered political instability — the 2007-08 and 2010-11 global food price crises sparked unrest in 30+ countries and contributed to the Arab Spring.

climate_migration Climate Migration

Population movement driven primarily by environmental degradation, climate variability, or extreme weather events. Includes both internal displacement and cross-border migration. World Bank estimates 216 million internal climate migrants by 2050 under pessimistic scenarios.

pastoral_conflict Pastoral Conflict

Violence between pastoralist and farming communities driven by resource scarcity, particularly in the Sahel, Horn of Africa, and Central Africa. Droughts compress pastoral range, forcing herders into farming areas. A key transmission mechanism from climate stress to armed violence.

compounding_shocks Compounding Shocks

The interaction of multiple simultaneous stressors — climate shock + conflict + economic downturn + pandemic — that overwhelm coping capacity. Compounding effects are non-linear: each additional shock disproportionately increases food insecurity. The COVID-19 pandemic layered onto existing climate and conflict crises illustrates this dynamic.

Findings

Economic productivity peaks at ~13C and declines nonlinearly above that threshold, for both rich and poor countries.

Direction: negative Confidence: strong Method: OLS with country and year FE, quadratic

Unmitigated warming projected to reduce average global incomes by ~23% by 2100 and widen global inequality.

Direction: negative Confidence: moderate Method: Panel econometrics + Monte Carlo projections

The global relationship between temperature and economic output is strongly nonlinear — productivity peaks at approximately 13°C mean annual temperature and declines sharply at higher temperatures.

Direction: negative Confidence: strong Method: Panel regression across 166 countries, 1960-2010

Unmitigated warming could reduce global GDP by 23% by 2100 relative to a no-warming scenario, with poor tropical countries projected to lose 75% or more of GDP.

Direction: negative Confidence: moderate Effect: 23% global GDP loss by 2100; 75%+ for poorest countries Method: Projection from estimated nonlinear damage function

Expert elicitation of 11 leading climate-conflict researchers concludes climate variability has influenced 3-20% of armed conflict risk over the past century, and this influence will grow substantially under 2-4C warming scenarios. The pathway is indirect: climate affects conflict through food insecurity, economic shocks, and displacement, not directly.

Direction: positive Confidence: strong Method: Expert elicitation, structured protocol, 11 experts

Meta-analysis of 55 studies finds that a 1 standard deviation increase in temperature is associated with a 2.4% increase in interpersonal violence and a 11.3% increase in intergroup conflict. Effects are strongest in agricultural economies and conflict-prone regions.

Direction: positive Confidence: strong Method: Meta-analysis of 55 quantitative studies

Extreme rainfall deviations (both drought and excess) significantly increase the likelihood of social conflict events in Africa. Water scarcity increases communal conflict and civil unrest; excess rainfall can also trigger violence through displacement and crop damage.

Direction: positive Confidence: strong Method: Negative binomial regression, African country-year/month panel, SCAD conflict data

Engines

logistic_regression random_forest

Sources

Burke, Marshall; Hsiang, Solomon M.; Miguel, Edward (2015). Global non-linear effect of temperature on economic production
Katharine Mach et al. (2019). Climate as a risk factor for armed conflict DOI
Cullen Hendrix, Idean Salehyan (2012). Climate shocks and political violence DOI

Tags

topicclimate-conflict-food-nexus

Details

Domain: Climate-Conflict-Food Nexus

Causal pathways linking climate variability and extreme weather to food insecurity, livelihood collapse, displacement, and armed conflict. Covers drought-crop failure-hunger chains, resource competition as conflict driver, and compounding shocks.

Temporal scope: 1990-present | Population: Countries and subnational regions

Key Findings

  • Economic productivity peaks at ~13C and declines nonlinearly above that threshold, for both rich and poor countries. (negative, strong)
  • Unmitigated warming projected to reduce average global incomes by ~23% by 2100 and widen global inequality. (negative, moderate)
  • The global relationship between temperature and economic output is strongly nonlinear — productivity peaks at approximately 13°C mean annual temperature and declines sharply at higher temperatures. (negative, strong)
  • Unmitigated warming could reduce global GDP by 23% by 2100 relative to a no-warming scenario, with poor tropical countries projected to lose 75% or more of GDP. (negative, moderate)
  • Expert elicitation of 11 leading climate-conflict researchers concludes climate variability has influenced 3-20% of armed conflict risk over the past century, and this influence will grow substantially under 2-4C warming scenarios. The pathway is indirect: climate affects conflict through food insecurity, economic shocks, and displacement, not directly. (positive, strong)
  • Meta-analysis of 55 studies finds that a 1 standard deviation increase in temperature is associated with a 2.4% increase in interpersonal violence and a 11.3% increase in intergroup conflict. Effects are strongest in agricultural economies and conflict-prone regions. (positive, strong)
  • Extreme rainfall deviations (both drought and excess) significantly increase the likelihood of social conflict events in Africa. Water scarcity increases communal conflict and civil unrest; excess rainfall can also trigger violence through displacement and crop damage. (positive, strong)

Installation

Install this PAX into your Praxis instance:

praxis_import_pax("climate-conflict-food-nexus.pax.tar.gz", install=True)