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Modeling migration patterns in the USA under sea level rise

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...

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Detalles Bibliográficos
Autores principales: Robinson, Caleb, Dilkina, Bistra, Moreno-Cruz, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6975524/
https://www.ncbi.nlm.nih.gov/pubmed/31968017
http://dx.doi.org/10.1371/journal.pone.0227436
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author Robinson, Caleb
Dilkina, Bistra
Moreno-Cruz, Juan
author_facet Robinson, Caleb
Dilkina, Bistra
Moreno-Cruz, Juan
author_sort Robinson, Caleb
collection PubMed
description 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.
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spelling pubmed-69755242020-02-04 Modeling migration patterns in the USA under sea level rise Robinson, Caleb Dilkina, Bistra Moreno-Cruz, Juan PLoS One Research Article 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. Public Library of Science 2020-01-22 /pmc/articles/PMC6975524/ /pubmed/31968017 http://dx.doi.org/10.1371/journal.pone.0227436 Text en © 2020 Robinson et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Robinson, Caleb
Dilkina, Bistra
Moreno-Cruz, Juan
Modeling migration patterns in the USA under sea level rise
title Modeling migration patterns in the USA under sea level rise
title_full Modeling migration patterns in the USA under sea level rise
title_fullStr Modeling migration patterns in the USA under sea level rise
title_full_unstemmed Modeling migration patterns in the USA under sea level rise
title_short Modeling migration patterns in the USA under sea level rise
title_sort modeling migration patterns in the usa under sea level rise
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6975524/
https://www.ncbi.nlm.nih.gov/pubmed/31968017
http://dx.doi.org/10.1371/journal.pone.0227436
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