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Understanding climate change from a global analysis of city analogues
Combating climate change requires unified action across all sectors of society. However, this collective action is precluded by the ‘consensus gap’ between scientific knowledge and public opinion. Here, we test the extent to which the iconic cities around the world are likely to shift in response to...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6619606/ https://www.ncbi.nlm.nih.gov/pubmed/31291249 http://dx.doi.org/10.1371/journal.pone.0217592 |
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author | Bastin, Jean-Francois Clark, Emily Elliott, Thomas Hart, Simon van den Hoogen, Johan Hordijk, Iris Ma, Haozhi Majumder, Sabiha Manoli, Gabriele Maschler, Julia Mo, Lidong Routh, Devin Yu, Kailiang Zohner, Constantin M. Crowther, Thomas W. |
author_facet | Bastin, Jean-Francois Clark, Emily Elliott, Thomas Hart, Simon van den Hoogen, Johan Hordijk, Iris Ma, Haozhi Majumder, Sabiha Manoli, Gabriele Maschler, Julia Mo, Lidong Routh, Devin Yu, Kailiang Zohner, Constantin M. Crowther, Thomas W. |
author_sort | Bastin, Jean-Francois |
collection | PubMed |
description | Combating climate change requires unified action across all sectors of society. However, this collective action is precluded by the ‘consensus gap’ between scientific knowledge and public opinion. Here, we test the extent to which the iconic cities around the world are likely to shift in response to climate change. By analyzing city pairs for 520 major cities of the world, we test if their climate in 2050 will resemble more closely to their own current climate conditions or to the current conditions of other cities in different bioclimatic regions. Even under an optimistic climate scenario (RCP 4.5), we found that 77% of future cities are very likely to experience a climate that is closer to that of another existing city than to its own current climate. In addition, 22% of cities will experience climate conditions that are not currently experienced by any existing major cities. As a general trend, we found that all the cities tend to shift towards the sub-tropics, with cities from the Northern hemisphere shifting to warmer conditions, on average ~1000 km south (velocity ~20 km.year(-1)), and cities from the tropics shifting to drier conditions. We notably predict that Madrid’s climate in 2050 will resemble Marrakech’s climate today, Stockholm will resemble Budapest, London to Barcelona, Moscow to Sofia, Seattle to San Francisco, Tokyo to Changsha. Our approach illustrates how complex climate data can be packaged to provide tangible information. The global assessment of city analogues can facilitate the understanding of climate change at a global level but also help land managers and city planners to visualize the climate futures of their respective cities, which can facilitate effective decision-making in response to on-going climate change. |
format | Online Article Text |
id | pubmed-6619606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-66196062019-07-25 Understanding climate change from a global analysis of city analogues Bastin, Jean-Francois Clark, Emily Elliott, Thomas Hart, Simon van den Hoogen, Johan Hordijk, Iris Ma, Haozhi Majumder, Sabiha Manoli, Gabriele Maschler, Julia Mo, Lidong Routh, Devin Yu, Kailiang Zohner, Constantin M. Crowther, Thomas W. PLoS One Research Article Combating climate change requires unified action across all sectors of society. However, this collective action is precluded by the ‘consensus gap’ between scientific knowledge and public opinion. Here, we test the extent to which the iconic cities around the world are likely to shift in response to climate change. By analyzing city pairs for 520 major cities of the world, we test if their climate in 2050 will resemble more closely to their own current climate conditions or to the current conditions of other cities in different bioclimatic regions. Even under an optimistic climate scenario (RCP 4.5), we found that 77% of future cities are very likely to experience a climate that is closer to that of another existing city than to its own current climate. In addition, 22% of cities will experience climate conditions that are not currently experienced by any existing major cities. As a general trend, we found that all the cities tend to shift towards the sub-tropics, with cities from the Northern hemisphere shifting to warmer conditions, on average ~1000 km south (velocity ~20 km.year(-1)), and cities from the tropics shifting to drier conditions. We notably predict that Madrid’s climate in 2050 will resemble Marrakech’s climate today, Stockholm will resemble Budapest, London to Barcelona, Moscow to Sofia, Seattle to San Francisco, Tokyo to Changsha. Our approach illustrates how complex climate data can be packaged to provide tangible information. The global assessment of city analogues can facilitate the understanding of climate change at a global level but also help land managers and city planners to visualize the climate futures of their respective cities, which can facilitate effective decision-making in response to on-going climate change. Public Library of Science 2019-07-10 /pmc/articles/PMC6619606/ /pubmed/31291249 http://dx.doi.org/10.1371/journal.pone.0217592 Text en © 2019 Bastin 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 Bastin, Jean-Francois Clark, Emily Elliott, Thomas Hart, Simon van den Hoogen, Johan Hordijk, Iris Ma, Haozhi Majumder, Sabiha Manoli, Gabriele Maschler, Julia Mo, Lidong Routh, Devin Yu, Kailiang Zohner, Constantin M. Crowther, Thomas W. Understanding climate change from a global analysis of city analogues |
title | Understanding climate change from a global analysis of city analogues |
title_full | Understanding climate change from a global analysis of city analogues |
title_fullStr | Understanding climate change from a global analysis of city analogues |
title_full_unstemmed | Understanding climate change from a global analysis of city analogues |
title_short | Understanding climate change from a global analysis of city analogues |
title_sort | understanding climate change from a global analysis of city analogues |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6619606/ https://www.ncbi.nlm.nih.gov/pubmed/31291249 http://dx.doi.org/10.1371/journal.pone.0217592 |
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