Modeling migration patterns in the USA under sea level rise

PLoS One. 2020 Jan 22;15(1):e0227436. doi: 10.1371/journal.pone.0227436. eCollection 2020.

Abstract

Sea level rise in the United States will lead to large scale migration in the future. We propose a framework to examine future climate migration patterns using models of human migration. Our framework requires that we distinguish between historical versus climate driven migration and recognizes how the impacts of climate change can extend beyond the affected area. We apply our framework to simulate how migration, driven by sea level rise, differs from baseline migration patterns. Specifically, we couple a sea level rise model with a data-driven model of human migration and future population projections, creating a generalized joint model of climate driven migration that can be used to simulate population distributions under potential future sea level rise scenarios. The results of our case study suggest that the effects of sea level rise are pervasive, expanding beyond coastal areas via increased migration, and disproportionately affecting some areas of the United States.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Human Migration*
  • Humans
  • Models, Theoretical*
  • Sea Level Rise*
  • United States

Grants and funding

J.M-C was funded by the National Science Foundation with grant number 1510510 and the Canada Research Chairs program. C.R. was funded the National Science Foundation with grants numbered CCF-1522054 and Microsoft AI for Earth gift. B.D. was funded by the National Science Foundation with grants numbered CCF-1522054 and BCS-1638268 (https://www.nsf.gov). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.