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Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways

Urban land expansion is one of the most visible, irreversible, and rapid types of land cover/land use change in contemporary human history, and is a key driver for many environmental and societal changes across scales. Yet spatial projections of how much and where it may occur are often limited to s...

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Autores principales: Gao, Jing, O’Neill, Brian C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210308/
https://www.ncbi.nlm.nih.gov/pubmed/32385275
http://dx.doi.org/10.1038/s41467-020-15788-7
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author Gao, Jing
O’Neill, Brian C.
author_facet Gao, Jing
O’Neill, Brian C.
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description Urban land expansion is one of the most visible, irreversible, and rapid types of land cover/land use change in contemporary human history, and is a key driver for many environmental and societal changes across scales. Yet spatial projections of how much and where it may occur are often limited to short-term futures and small geographic areas. Here we produce a first empirically-grounded set of global, spatial urban land projections over the 21st century. We use a data-science approach exploiting 15 diverse datasets, including a newly available 40-year global time series of fine-spatial-resolution remote sensing observations. We find the global total amount of urban land could increase by a factor of 1.8–5.9, and the per capita amount by a factor of 1.1–4.9, across different socioeconomic scenarios over the century. Though the fastest urban land expansion occurs in Africa and Asia, the developed world experiences a similarly large amount of new development.
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spelling pubmed-72103082020-05-13 Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways Gao, Jing O’Neill, Brian C. Nat Commun Article Urban land expansion is one of the most visible, irreversible, and rapid types of land cover/land use change in contemporary human history, and is a key driver for many environmental and societal changes across scales. Yet spatial projections of how much and where it may occur are often limited to short-term futures and small geographic areas. Here we produce a first empirically-grounded set of global, spatial urban land projections over the 21st century. We use a data-science approach exploiting 15 diverse datasets, including a newly available 40-year global time series of fine-spatial-resolution remote sensing observations. We find the global total amount of urban land could increase by a factor of 1.8–5.9, and the per capita amount by a factor of 1.1–4.9, across different socioeconomic scenarios over the century. Though the fastest urban land expansion occurs in Africa and Asia, the developed world experiences a similarly large amount of new development. Nature Publishing Group UK 2020-05-08 /pmc/articles/PMC7210308/ /pubmed/32385275 http://dx.doi.org/10.1038/s41467-020-15788-7 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Gao, Jing
O’Neill, Brian C.
Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways
title Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways
title_full Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways
title_fullStr Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways
title_full_unstemmed Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways
title_short Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways
title_sort mapping global urban land for the 21st century with data-driven simulations and shared socioeconomic pathways
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210308/
https://www.ncbi.nlm.nih.gov/pubmed/32385275
http://dx.doi.org/10.1038/s41467-020-15788-7
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