ORIGINAL RESEARCH article

Front. Clim.

Sec. Climate Mobility

Deferred Climate-Related Migration

  • Duke University, Durham, United States

The final, formatted version of the article will be published soon.

Abstract

Climate migration research often relies on a binary distinction between rapid-onset and slow-onset disasters to predict migration timing. Using original survey data from 1,534 households across Guatemala, I demonstrate that this framework oversimplifies temporal migration dynamics. Floods increase both internal migration plans (4.3 percentage points) and international migration plans (4.8 percentage points) two to seven years after exposure. In contrast, neither hurricanes nor droughts significantly affect migration plans during this timeframe, despite extensive research documenting their effects on other timelines. Migration networks prove critical as those who are exposed to floods with prior migration experience are fourteen times more likely to plan internal migration than those without. Building from these findings, I develop the deferred climate-related migration theory, which posits that floods create a unique temporal window for migration by being severe enough to signal persistent risk while also allowing for sufficient recovery to accumulate resources. This creates a deferral period wherein individuals decide that they will migrate, but take the time to increase their savings, activate social networks, and coordinate migration plans. The theory challenges assumptions that onset speed determines migration timing and demonstrates the need for disaster-specific approaches in climate adaptation policy.

Summary

Keywords

climate adaptation, Climate Change, Climate displacement, Climate migrant, climate migration

Received

30 January 2026

Accepted

29 June 2026

Copyright

© 2026 Nagle Alverio. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Gabriela Nagle Alverio

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Outline

Share article

Article metrics