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

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          Abstract

          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.

          Abstract

          Most inhabited areas in the US have more mass in buildings and mobility networks than in plant biomass. Cities are comparably resource efficient, while high material intensity is found in rural areas. Migration reinforces this phenomenon as people leave while built structures remain.

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          Human Domination of Earth's Ecosystems

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            Geology of mankind.

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              Carbon Lock-In: Types, Causes, and Policy Implications

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                Author and article information

                Contributors
                david.frantz@uni-trier.de
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                4 December 2023
                4 December 2023
                2023
                : 14
                : 8014
                Affiliations
                [1 ]Geoinformatics – Spatial Data Science, Trier University, ( https://ror.org/02778hg05) Trier, Germany
                [2 ]Geography Department, Humboldt-Universität zu Berlin, ( https://ror.org/01hcx6992) Berlin, Germany
                [3 ]Integrated Research Institute on Transformations of Human Environment Systems (IRI THESys), Humboldt-Universität zu Berlin, ( https://ror.org/01hcx6992) Berlin, Germany
                [4 ]SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin, ( https://ror.org/01y2jtd41) Madison, WI USA
                [5 ]Institute of Social Ecology, University of Natural Resources and Life Sciences, Vienna, ( https://ror.org/057ff4y42) Vienna, Austria
                [6 ]Institute for Computer Science, Humboldt-Universität zu Berlin, ( https://ror.org/01hcx6992) Berlin, Germany
                [7 ]Environmental Remote Sensing and Geoinformatics, Trier University, ( https://ror.org/02778hg05) Trier, Germany
                [8 ]Institute of Geography and Geology, University of Greifswald, ( https://ror.org/00r1edq15) Greifswald, Germany
                Author information
                http://orcid.org/0000-0002-9292-3931
                http://orcid.org/0000-0003-1534-5610
                http://orcid.org/0000-0001-7418-3477
                http://orcid.org/0000-0002-8256-5958
                http://orcid.org/0000-0001-8300-8590
                http://orcid.org/0000-0002-9924-8684
                http://orcid.org/0000-0003-0520-0792
                http://orcid.org/0000-0001-6576-8377
                http://orcid.org/0000-0002-5730-5484
                http://orcid.org/0000-0003-2104-5446
                Article
                43755
                10.1038/s41467-023-43755-5
                10695923
                38049425
                ed1ac491-947e-44ca-bc57-5a464c56d3b7
                © The Author(s) 2023

                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/.

                History
                : 24 February 2023
                : 17 November 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/100010663, EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council);
                Award ID: 741950
                Award ID: 741950
                Award ID: 741950
                Award ID: 741950
                Award ID: 741950
                Award ID: 741950
                Award ID: 741950
                Award ID: 741950
                Award ID: 741950
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft (German Research Foundation);
                Award ID: 414984028-SFB 1404
                Award ID: 414984028-SFB 1404
                Award Recipient :
                Categories
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                © Springer Nature Limited 2023

                Uncategorized
                sustainability,geography
                Uncategorized
                sustainability, geography

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