Evidence map›Paper›PMID 42017194›Full record

ArticleJournal of industrial ecology2025

Weighing the global built environment: High-resolution mapping and quantification of material stocks in buildings.

Helmut Haberl, André Baumgart, Julian Zeidler, Franz Schug, David Frantz, Daniela Palacios-Lopez, Tomer Fishman, Yoav Peled, Bowen Cai, Doris Virág and 3 more

Abstract read
In one paragraph

Article in Journal of industrial ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The SESAME Human-Earth Atlas.Scientific data · 2025
    Article
  5. Article
  6. Article
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

13 authors.

Helmut HaberlInstitute of Social Ecology, BOKU University, Schottenfeldgasse 29, Vienna, 1070 Austria.ORCID https://orcid.org/0000-0003-2104-5446
André BaumgartInstitute of Social Ecology, BOKU University, Schottenfeldgasse 29, Vienna, 1070 Austria.ORCID https://orcid.org/0000-0002-8256-5958
Julian ZeidlerGerman Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, Germany.ORCID https://orcid.org/0000-0001-9444-2296
Franz SchugSILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, Wisconsin USA.ORCID https://orcid.org/0000-0003-1534-5610
David FrantzGeoinformatics - Spatial Data Science, Trier University, Trier, Germany.ORCID https://orcid.org/0000-0002-9292-3931
Daniela Palacios-LopezGerman Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, Germany.ORCID https://orcid.org/0000-0001-6302-2491
Tomer FishmanInstitute of Environmental Sciences (CML), Leiden University, Leiden, Netherlands.ORCID https://orcid.org/0000-0003-4405-2382
Yoav PeledIDC Herzliya, Haifa, Israel.ORCID https://orcid.org/0000-0002-2831-3450
Bowen CaiInstitute of Social Ecology, BOKU University, Schottenfeldgasse 29, Vienna, 1070 Austria.ORCID https://orcid.org/0000-0003-4998-8796
Doris VirágInstitute of Social Ecology, BOKU University, Schottenfeldgasse 29, Vienna, 1070 Austria.ORCID https://orcid.org/0000-0001-8300-8590
Patrick HostertGeography Department, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-5730-5484
Dominik WiedenhoferInstitute of Social Ecology, BOKU University, Schottenfeldgasse 29, Vienna, 1070 Austria.ORCID https://orcid.org/0000-0001-7418-3477
Thomas EschGerman Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, Germany.ORCID https://orcid.org/0000-0002-5868-9045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Buildings provide indispensable services for human well-being, but their construction and use are responsible for a substantial fraction of societies' resource requirements and greenhouse gas emissions. Mapping and quantifying the material stocks in buildings is a key research frontier in industrial ecology. Reliable and spatially highly resolved maps of material stocks in buildings worldwide are so far not available. Existing approaches based on nighttime light data allow large-scale coverage, but their spatial resolution is usually ∼0.5-1 km. Other methods using light detection and ranging (LiDAR) and cadaster data achieve higher resolution and accuracy, but do not allow wall-to-wall mapping of large regions. Based on high-resolution Earth Observation data combined with material intensity factors (kg per m Supplementary Information: The online version of this article (doi:10.1111/jiec.13585) contains supplementary material, which is available to authorized users.

Indexed as

buildingsEarth Observationindustrial ecologymappingmaterial flow analysismaterial stocks

Identifiers

PMID42017194
PMCPMC13092544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.