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Unveiling patterns in human dominated landscapes through mapping the mass of US built structures

Built structures increasingly dominate the Earth’s landscapes; their surging mass is currently overtaking global biomass. We here assess built structures in the conterminous US by quantifying the mass of 14 stock-building materials in eight building types and nine types of mobility infrastructures....

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Autores principales: Frantz, David, Schug, Franz, Wiedenhofer, Dominik, Baumgart, André, Virág, Doris, Cooper, Sam, Gómez-Medina, Camila, Lehmann, Fabian, Udelhoven, Thomas, van der Linden, Sebastian, Hostert, Patrick, Haberl, Helmut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10695923/
https://www.ncbi.nlm.nih.gov/pubmed/38049425
http://dx.doi.org/10.1038/s41467-023-43755-5
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author Frantz, David
Schug, Franz
Wiedenhofer, Dominik
Baumgart, André
Virág, Doris
Cooper, Sam
Gómez-Medina, Camila
Lehmann, Fabian
Udelhoven, Thomas
van der Linden, Sebastian
Hostert, Patrick
Haberl, Helmut
author_facet Frantz, David
Schug, Franz
Wiedenhofer, Dominik
Baumgart, André
Virág, Doris
Cooper, Sam
Gómez-Medina, Camila
Lehmann, Fabian
Udelhoven, Thomas
van der Linden, Sebastian
Hostert, Patrick
Haberl, Helmut
author_sort Frantz, David
collection PubMed
description Built structures increasingly dominate the Earth’s landscapes; their surging mass is currently overtaking global biomass. We here assess built structures in the conterminous US by quantifying the mass of 14 stock-building materials in eight building types and nine types of mobility infrastructures. Our high-resolution maps reveal that built structures have become 2.6 times heavier than all plant biomass across the country and that most inhabited areas are mass-dominated by buildings or infrastructure. We analyze determinants of the material intensity and show that densely built settlements have substantially lower per-capita material stocks, while highest intensities are found in sparsely populated regions due to ubiquitous infrastructures. Out-migration aggravates already high intensities in rural areas as people leave while built structures remain – highlighting that quantifying the distribution of built-up mass at high resolution is an essential contribution to understanding the biophysical basis of societies, and to inform strategies to design more resource-efficient settlements and a sustainable circular economy.
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spelling pubmed-106959232023-12-06 Unveiling patterns in human dominated landscapes through mapping the mass of US built structures Frantz, David Schug, Franz Wiedenhofer, Dominik Baumgart, André Virág, Doris Cooper, Sam Gómez-Medina, Camila Lehmann, Fabian Udelhoven, Thomas van der Linden, Sebastian Hostert, Patrick Haberl, Helmut Nat Commun Article Built structures increasingly dominate the Earth’s landscapes; their surging mass is currently overtaking global biomass. We here assess built structures in the conterminous US by quantifying the mass of 14 stock-building materials in eight building types and nine types of mobility infrastructures. Our high-resolution maps reveal that built structures have become 2.6 times heavier than all plant biomass across the country and that most inhabited areas are mass-dominated by buildings or infrastructure. We analyze determinants of the material intensity and show that densely built settlements have substantially lower per-capita material stocks, while highest intensities are found in sparsely populated regions due to ubiquitous infrastructures. Out-migration aggravates already high intensities in rural areas as people leave while built structures remain – highlighting that quantifying the distribution of built-up mass at high resolution is an essential contribution to understanding the biophysical basis of societies, and to inform strategies to design more resource-efficient settlements and a sustainable circular economy. Nature Publishing Group UK 2023-12-04 /pmc/articles/PMC10695923/ /pubmed/38049425 http://dx.doi.org/10.1038/s41467-023-43755-5 Text en © The Author(s) 2023 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
Frantz, David
Schug, Franz
Wiedenhofer, Dominik
Baumgart, André
Virág, Doris
Cooper, Sam
Gómez-Medina, Camila
Lehmann, Fabian
Udelhoven, Thomas
van der Linden, Sebastian
Hostert, Patrick
Haberl, Helmut
Unveiling patterns in human dominated landscapes through mapping the mass of US built structures
title Unveiling patterns in human dominated landscapes through mapping the mass of US built structures
title_full Unveiling patterns in human dominated landscapes through mapping the mass of US built structures
title_fullStr Unveiling patterns in human dominated landscapes through mapping the mass of US built structures
title_full_unstemmed Unveiling patterns in human dominated landscapes through mapping the mass of US built structures
title_short Unveiling patterns in human dominated landscapes through mapping the mass of US built structures
title_sort unveiling patterns in human dominated landscapes through mapping the mass of us built structures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10695923/
https://www.ncbi.nlm.nih.gov/pubmed/38049425
http://dx.doi.org/10.1038/s41467-023-43755-5
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