Evidence map›Paper›PMID 40148360›Full record

ArticleScientific data2025

A global land-use data cube 1992-2020 based on the Human Appropriation of Net Primary Production.

Sarah Matej, Florian Weidinger, Lisa Kaufmann, Nicolas Roux, Simone Gingrich, Helmut Haberl, Fridolin Krausmann, Karl-Heinz Erb

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Sarah MatejBOKU University Vienna, Institute of Social Ecology, Schottenfeldgasse 29, 1070, Vienna, Austria. sarah.matej@boku.ac.at.ORCID http://orcid.org/0000-0003-4576-4189
Florian WeidingerBOKU University Vienna, Institute of Social Ecology, Schottenfeldgasse 29, 1070, Vienna, Austria.ORCID http://orcid.org/0000-0001-7577-2054
Lisa KaufmannBOKU University Vienna, Institute of Social Ecology, Schottenfeldgasse 29, 1070, Vienna, Austria.ORCID http://orcid.org/0000-0002-7315-7418
Nicolas RouxBOKU University Vienna, Institute of Social Ecology, Schottenfeldgasse 29, 1070, Vienna, Austria.ORCID http://orcid.org/0000-0002-4758-4870
Simone GingrichBOKU University Vienna, Institute of Social Ecology, Schottenfeldgasse 29, 1070, Vienna, Austria.ORCID http://orcid.org/0000-0001-7891-8688
Helmut HaberlBOKU University Vienna, Institute of Social Ecology, Schottenfeldgasse 29, 1070, Vienna, Austria.ORCID http://orcid.org/0000-0003-2104-5446
Fridolin KrausmannBOKU University Vienna, Institute of Social Ecology, Schottenfeldgasse 29, 1070, Vienna, Austria.ORCID http://orcid.org/0000-0002-9995-2372
Karl-Heinz ErbBOKU University Vienna, Institute of Social Ecology, Schottenfeldgasse 29, 1070, Vienna, Austria. karlheinz.erb@boku.ac.at.ORCID http://orcid.org/0000-0002-8335-4159

Funding

Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) 10.55776/EFP5Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) I4271Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) P 35420-GEC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 741950EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 757995
6 · The paper itself

Abstract

Land use is intimately linked to key components of the Earth system, including the climate system, biodiversity and biogeochemical cycles. Advanced understanding of patterns and dynamics of land use is vital for assessing impacts on these system components and for developing strategies to ensure sustainability. However, thematically detailed data that enable the analyses of spatiotemporal dynamics of land use, including land-use intensity, are currently lacking. This study presents a comprehensive land-use data cube (LUIcube) that traces global land-use area and intensity developments between 1992 and 2020 annually at 30 arcsecond spatial resolution. It discerns 32 land-use classes that can be aggregated to cropland, grazing land, forestry, built-up land and wilderness. Land-use intensity is represented through the framework of Human Appropriation of Net Primary Production, which allows to quantify changes in NPP, respectively biomass flows, induced by land conversion and land-management. The LUIcube provides the necessary database for analyzing the role of natural and socioeconomic drivers of land-use change and its ecological impacts to inform strategies for sustainable land management.

Indexed as

Conservation of Natural ResourcesAgricultureBiodiversityForestryHumans

Identifiers

PMID40148360
PMCPMC11950351

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.