Evidence map›Paper›PMID 38049425›Full record

ArticleNature communications2023

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

David Frantz, Franz Schug, Dominik Wiedenhofer, André Baumgart, Doris Virág, Sam Cooper, Camila Gómez-Medina, Fabian Lehmann, Thomas Udelhoven, Sebastian van der Linden and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

David FrantzGeoinformatics - Spatial Data Science, Trier University, Trier, Germany. david.frantz@uni-trier.de.ORCID 0000-0002-9292-3931
Franz SchugGeography Department, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0003-1534-5610
Dominik WiedenhoferInstitute of Social Ecology, University of Natural Resources and Life Sciences, Vienna, Vienna, Austria.ORCID 0000-0001-7418-3477
André BaumgartInstitute of Social Ecology, University of Natural Resources and Life Sciences, Vienna, Vienna, Austria.ORCID 0000-0002-8256-5958
Doris VirágInstitute of Social Ecology, University of Natural Resources and Life Sciences, Vienna, Vienna, Austria.ORCID 0000-0001-8300-8590
Sam CooperGeography Department, Humboldt-Universität zu Berlin, Berlin, Germany.
Camila Gómez-MedinaGeography Department, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0002-9924-8684
Fabian LehmannInstitute for Computer Science, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0003-0520-0792
Thomas UdelhovenEnvironmental Remote Sensing and Geoinformatics, Trier University, Trier, Germany.
Sebastian van der LindenInstitute of Geography and Geology, University of Greifswald, Greifswald, Germany.ORCID 0000-0001-6576-8377
Patrick HostertGeography Department, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0002-5730-5484
Helmut HaberlInstitute of Social Ecology, University of Natural Resources and Life Sciences, Vienna, Vienna, Austria.ORCID 0000-0003-2104-5446

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 414984028-SFB 1404EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 741950
6 · The paper itself

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.

Indexed as

Construction MaterialsPlantsBiomassHumans

Identifiers

PMID38049425
PMCPMC10695923

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.