Migration as a human affair: Integrating individual stress thresholds into quantitative models of climate migration

Adams, H; Kay, S. 2019 Migration as a human affair: Integrating individual stress thresholds into quantitative models of climate migration. Environmental Science & Policy, 93. 129-138. https://doi.org/10.1016/j.envsci.2018.10.015

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Official URL: https://doi.org/10.1016/j.envsci.2018.10.015

Abstract/Summary

Sea level rise will expose millions of people to increasing coastal hazards and eventual land loss. Thus, it is important to understand how residents will make decisions about whether and when to move away with increasing exposure. Historically, non-material dimensions of human decision-making have been missing from quantitative modelling of migration under environmental change. Here, we use behavioural migration theory and the concept of an inherent mobility potential to define individual stress thresholds, represented in the tension between mobility potential and residential satisfaction. We further suggest that migration as an outcome is determined by psychological propensity to move, and that levels of capital act to modulate, rather than determine, migration responses, their timing and outcome. Using the southwest coast of Bangladesh as our case study, we quantify these characteristics using the results of a 1500 household social survey and define an exposure index based on projections of sea surface height drawn from a physical model. Aggregating data to the village level, we are able to identify place-specific mobility responses; for example, locations where high mobility characteristics are associated with high exposure and thus migration may occur earlier in response to increasing coastal hazard. By advancing theory on individual thresholds and demonstrating that complex human characteristics can be usefully quantified, we further the ability of such characteristics to be included in modelling approaches. The empirical results contribute to debates on immobility under climate change, and decision-making on the most appropriate adaptive responses to protect multi-dimensional well-being of climate-vulnerable people.

Item Type: Publication - Article
Divisions: Plymouth Marine Laboratory > Science Areas > Marine Ecosystem Models and Predictions
Depositing User: Kim Hockley
Date made live: 05 Feb 2019 10:07
Last Modified: 05 Feb 2019 10:07
URI: http://plymsea.ac.uk/id/eprint/8098

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