Evidence map›Paper›PMID 32759943›Full record

ArticleScientific data2020

A global map of terrestrial habitat types.

Martin Jung, Prabhat Raj Dahal, Stuart H M Butchart, Paul F Donald, Xavier De Lamo, Myroslava Lesiv, Valerie Kapos, Carlo Rondinini, Piero Visconti

Abstract read
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

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  7. Genetic origins and climate-induced erosion in economically important Asian walnuts.Conservation biology : the journal of the Society for Conservation Biology · 2026
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  19. LIFE: A metric for mapping the impact of land-cover change on global extinctions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  20. Review
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

9 authors.

Martin JungEcosystems Services and Management Program (ESM), International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria. jung@iiasa.ac.at.ORCID http://orcid.org/0000-0002-7569-1390
Prabhat Raj DahalGlobal Mammal Assessment Program, Department of Biology and Biotechnologies, Sapienza University of Rome, Viale dell'Università 32, 00185, Rome, Italy.
Stuart H M ButchartBirdLife International, David Attenborough Building, Pembroke Street, Cambridge, CB2 3QZ, UK.ORCID http://orcid.org/0000-0002-1140-4049
Paul F DonaldBirdLife International, David Attenborough Building, Pembroke Street, Cambridge, CB2 3QZ, UK.
Xavier De LamoUN Environment World Conservation Monitoring Centre (UNEP-WCMC), 219 Huntingdon Road, Cambridge, CB3 0DL, United Kingdom.
Myroslava LesivEcosystems Services and Management Program (ESM), International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria.ORCID http://orcid.org/0000-0001-9846-3342
Valerie KaposUN Environment World Conservation Monitoring Centre (UNEP-WCMC), 219 Huntingdon Road, Cambridge, CB3 0DL, United Kingdom.ORCID http://orcid.org/0000-0002-5739-8262
Carlo RondininiGlobal Mammal Assessment Program, Department of Biology and Biotechnologies, Sapienza University of Rome, Viale dell'Università 32, 00185, Rome, Italy.
Piero ViscontiEcosystems Services and Management Program (ESM), International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361, Laxenburg, Austria.

Funding

European Commission (EC) 766417
6 · The paper itself

Abstract

We provide a global, spatially explicit characterization of 47 terrestrial habitat types, as defined in the International Union for Conservation of Nature (IUCN) habitat classification scheme, which is widely used in ecological analyses, including for quantifying species' Area of Habitat. We produced this novel habitat map for the year 2015 by creating a global decision tree that intersects the best currently available global data on land cover, climate and land use. We independently validated the map using occurrence data for 828 species of vertebrates (35152 point plus 8181 polygonal occurrences) and 6026 sampling sites. Across datasets and mapped classes we found on average a balanced accuracy of 0.77 ([Formula: see text]0.14 SD) at Level 1 and 0.71 ([Formula: see text]0.15 SD) at Level 2, while noting potential issues of using occurrence records for validation. The maps broaden our understanding of habitats globally, assist in constructing area of habitat refinements and are relevant for broad-scale ecological studies and future IUCN Red List assessments. Periodic updates are planned as better or more recent data becomes available.

Identifiers

PMID32759943
PMCPMC7406504

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.