Other Social Sciences
Climate Displacement: Spatial Analysis of an Accelerating Crisis
Climate change is displacing millions—through floods, droughts, coastal erosion, and agricultural collapse. Spatial analysis from Colombia, India, Africa, and Iraq reveals how climate disasters interact with conflict, poverty, and governance to produce forced migration.
By Sean K.S. Shin
This blog summarizes research trends based on published paper abstracts. Specific numbers or findings may contain inaccuracies. For scholarly rigor, always consult the original papers cited in each post.
The Internal Displacement Monitoring Centre estimates that weather-related events displaced 32.6 million people in 2022 alone—more than conflict and violence combined. Yet "climate refugee" is not a recognized legal category under international law, and the relationship between climate change and displacement is more complex than simple cause-and-effect. Climate events interact with poverty, conflict, governance failure, and pre-existing vulnerability in ways that make displacement the product of multiple compounding forces rather than a single driver.
The Research Landscape
Colombia: Climate, Conflict, and Displacement
Gélvez and Bauer (2025) present the most methodologically sophisticated analysis: a 23-year spatial study of climate disasters, armed conflict, and internal displacement in Colombia. Using municipal-level data from 1998 to 2021, they apply spatial cluster analysis (local Geary statistics) to identify geographic patterns.
Key findings:
- Compound causation: Municipalities that experience both climate disasters and armed conflict have displacement rates far exceeding those with either alone. The interaction is synergistic, not merely additive—climate disasters weaken communities' capacity to cope with conflict, and conflict prevents recovery from climate events.
- Spatial clustering: Displacement is not uniformly distributed but clusters in specific regions—particularly the Pacific coast (high rainfall, poor infrastructure) and eastern plains (drought-prone, conflict-affected). These clusters persist over decades, suggesting structural rather than episodic drivers.
- Temporal patterns: Climate displacement peaks during La Niña events (which bring heavy rainfall and flooding to Colombia), while conflict displacement follows military campaign cycles. The coincidence of these cycles produces the worst displacement outcomes.
India: The Climate-Displacement Nexus
Naaz (2025) provides a systematic review of climate displacement in India, where millions of people are displaced by weather events annually. The review documents displacement driven by cyclones (coastal Odisha, Andhra Pradesh), flooding (Bihar, Assam), drought (Maharashtra, Karnataka), and sea-level rise (Sundarbans delta).
The analysis emphasizes that displacement is mediated by vulnerability: the same climate event produces different displacement outcomes depending on housing quality, income, social networks, and government response capacity. Poor communities on floodplains are displaced by moderate floods that wealthier communities on higher ground can withstand.
Africa: Coastal Erosion and Migration
Ideki and Ajoku (2024), with 2 citations, analyze shoreline changes and their implications for climate migration in East and West Africa. Using remote sensing data from 1990 to 2023, they document coastline retreat of 0.5-3 meters per year in vulnerable areas, projecting that millions of coastal residents will face relocation pressures by 2050.
The challenge is that coastal areas in Africa are among the most densely populated (hosting major cities like Lagos, Dar es Salaam, and Accra). Retreat from the coast pushes populations into areas that are already occupied—creating competition for land, water, and services that existing governance structures may not be able to manage.
Iraq: Climate and Agricultural Migration
Salem (2024) provides a geographically specific case study from Erbil Governorate in Iraqi Kurdistan, where declining rainfall and rising temperatures are driving agricultural communities to migrate to urban areas. The analysis documents a feedback loop: climate change reduces agricultural productivity → farmers migrate to cities → agricultural land is abandoned → remaining farms face additional pressure → more migration.
Critical Analysis: Claims and Evidence
<
| Claim | Evidence | Verdict |
|---|
| Climate disasters and armed conflict produce synergistic displacement | Gélvez & Bauer's 23-year Colombian spatial analysis | ✅ Supported — interaction effects exceed additive expectation |
| Displacement vulnerability is mediated by pre-existing poverty and infrastructure | Naaz's India review + Gélvez & Bauer's Colombian analysis | ✅ Supported — consistently documented |
| African coastal erosion will displace millions by 2050 | Ideki & Ajoku's remote sensing projections | ⚠️ Uncertain — projections depend on emission scenarios and adaptation investments |
| Climate-driven agricultural decline produces urban migration feedback loops | Salem's Erbil case study | ✅ Supported — mechanism documented; generalizability limited |
Open Questions
Legal recognition: Should "climate refugees" receive legal recognition under international law? The current refugee convention applies only to persecution-based displacement.
Planned relocation: When communities face unavoidable displacement (rising seas, permanent drought), should governments organize planned relocation? What principles should govern it?
Predictive modeling: Can spatial models predict displacement hotspots before events occur, enabling preemptive investment in resilience?
Urban absorption: Cities receiving climate migrants need infrastructure, services, and governance capacity to absorb them. How should this be planned and financed?What This Means for Your Research
For demographers and geographers, the spatial analysis methods demonstrated by Gélvez and Bauer provide a template for studying displacement dynamics at the sub-national level. For climate policy researchers, the compound causation finding reinforces the need for integrated climate-conflict-development approaches.
Explore related work through ORAA ResearchBrain.
The Internal Displacement Monitoring Centre estimates that weather-related events displaced 32.6 million people in 2022 alone—more than conflict and violence combined. Yet "climate refugee" is not a recognized legal category under international law, and the relationship between climate change and displacement is more complex than simple cause-and-effect. Climate events interact with poverty, conflict, governance failure, and pre-existing vulnerability in ways that make displacement the product of multiple compounding forces rather than a single driver.
The Research Landscape
Colombia: Climate, Conflict, and Displacement
Gélvez and Bauer (2025) present the most methodologically sophisticated analysis: a 23-year spatial study of climate disasters, armed conflict, and internal displacement in Colombia. Using municipal-level data from 1998 to 2021, they apply spatial cluster analysis (local Geary statistics) to identify geographic patterns.
Key findings:
- Compound causation: Municipalities that experience both climate disasters and armed conflict have displacement rates far exceeding those with either alone. The interaction is synergistic, not merely additive—climate disasters weaken communities' capacity to cope with conflict, and conflict prevents recovery from climate events.
- Spatial clustering: Displacement is not uniformly distributed but clusters in specific regions—particularly the Pacific coast (high rainfall, poor infrastructure) and eastern plains (drought-prone, conflict-affected). These clusters persist over decades, suggesting structural rather than episodic drivers.
- Temporal patterns: Climate displacement peaks during La Niña events (which bring heavy rainfall and flooding to Colombia), while conflict displacement follows military campaign cycles. The coincidence of these cycles produces the worst displacement outcomes.
India: The Climate-Displacement Nexus
Naaz (2025) provides a systematic review of climate displacement in India, where millions of people are displaced by weather events annually. The review documents displacement driven by cyclones (coastal Odisha, Andhra Pradesh), flooding (Bihar, Assam), drought (Maharashtra, Karnataka), and sea-level rise (Sundarbans delta).
The analysis emphasizes that displacement is mediated by vulnerability: the same climate event produces different displacement outcomes depending on housing quality, income, social networks, and government response capacity. Poor communities on floodplains are displaced by moderate floods that wealthier communities on higher ground can withstand.
Africa: Coastal Erosion and Migration
Ideki and Ajoku (2024), with 2 citations, analyze shoreline changes and their implications for climate migration in East and West Africa. Using remote sensing data from 1990 to 2023, they document coastline retreat of 0.5-3 meters per year in vulnerable areas, projecting that millions of coastal residents will face relocation pressures by 2050.
The challenge is that coastal areas in Africa are among the most densely populated (hosting major cities like Lagos, Dar es Salaam, and Accra). Retreat from the coast pushes populations into areas that are already occupied—creating competition for land, water, and services that existing governance structures may not be able to manage.
Iraq: Climate and Agricultural Migration
Salem (2024) provides a geographically specific case study from Erbil Governorate in Iraqi Kurdistan, where declining rainfall and rising temperatures are driving agricultural communities to migrate to urban areas. The analysis documents a feedback loop: climate change reduces agricultural productivity → farmers migrate to cities → agricultural land is abandoned → remaining farms face additional pressure → more migration.
Critical Analysis: Claims and Evidence
<
| Claim | Evidence | Verdict |
|---|
| Climate disasters and armed conflict produce synergistic displacement | Gélvez & Bauer's 23-year Colombian spatial analysis | ✅ Supported — interaction effects exceed additive expectation |
| Displacement vulnerability is mediated by pre-existing poverty and infrastructure | Naaz's India review + Gélvez & Bauer's Colombian analysis | ✅ Supported — consistently documented |
| African coastal erosion will displace millions by 2050 | Ideki & Ajoku's remote sensing projections | ⚠️ Uncertain — projections depend on emission scenarios and adaptation investments |
| Climate-driven agricultural decline produces urban migration feedback loops | Salem's Erbil case study | ✅ Supported — mechanism documented; generalizability limited |
Open Questions
Legal recognition: Should "climate refugees" receive legal recognition under international law? The current refugee convention applies only to persecution-based displacement.
Planned relocation: When communities face unavoidable displacement (rising seas, permanent drought), should governments organize planned relocation? What principles should govern it?
Predictive modeling: Can spatial models predict displacement hotspots before events occur, enabling preemptive investment in resilience?
Urban absorption: Cities receiving climate migrants need infrastructure, services, and governance capacity to absorb them. How should this be planned and financed?What This Means for Your Research
For demographers and geographers, the spatial analysis methods demonstrated by Gélvez and Bauer provide a template for studying displacement dynamics at the sub-national level. For climate policy researchers, the compound causation finding reinforces the need for integrated climate-conflict-development approaches.
Explore related work through ORAA ResearchBrain.
References (4)
[1] Gélvez, J.D. & Bauer, L. (2025). Climate Disasters, Armed Conflict, and Forced Displacement: A 23-Year Spatial Analysis in Colombia. Social Science Quarterly.
[2] Naaz, F. (2025). The Climate-Displacement Nexus in India: Drivers, Outcomes, and Policy Challenges. PLGI.
[3] Ideki, O. & Ajoku, O.F. (2024). Scenario Analysis of Shorelines, Coastal Erosion, and Land Use/Land Cover Changes and Their Implication for Climate Migration in East and West Africa. Journal of Marine Science and Engineering, 12(7), 1081.
[4] Salem, F.K. (2024). Geographical analysis of climate change and its impact on population migration in Erbil Governorate - Ashti district as a model. Twejer.