Evidence map›Paper›PMID 32080191›Full record

ArticleNature communications2020

A global assessment of the drivers of threatened terrestrial species richness.

Christine Howard, Curtis H Flather, Philip A Stephens

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Contrasting vulnerability profiles for insular assemblages of birds and mammals facing global change.Conservation biology : the journal of the Society for Conservation Biology · 2026
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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

3 authors.

Christine HowardConservation Ecology Group, Department of Biosciences, Durham University, South Road, Durham, DH1 3LE, UK. christine.howard@durham.ac.uk.ORCID http://orcid.org/0000-0001-7514-9721
Curtis H FlatherUS Forest Service Rocky Mountain Research Station, Fort Collins, CO, 80526, USA.ORCID http://orcid.org/0000-0002-0623-3126
Philip A StephensConservation Ecology Group, Department of Biosciences, Durham University, South Road, Durham, DH1 3LE, UK.ORCID http://orcid.org/0000-0001-5849-788X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High numbers of threatened species might be expected to occur where overall species richness is also high; however, this explains only a proportion of the global variation in threatened species richness. Understanding why many areas have more or fewer threatened species than would be expected given their species richness, and whether that is consistent across taxa, is essential for identifying global conservation priorities. Here, we show that, after controlling for species richness, environmental factors, such as temperature and insularity, are typically more important than human impacts for explaining spatial variation in global threatened species richness. Human impacts, nevertheless, have an important role, with relationships varying between vertebrate groups and zoogeographic regions. Understanding this variation provides a framework for establishing global conservation priorities, identifying those regions where species are inherently more vulnerable to the effects of threatening human processes, and forecasting how threatened species might be distributed in a changing world.

Indexed as

BiodiversityEndangered SpeciesAmphibiansAnimalsBirdsClimateConservation of Natural ResourcesEcosystemExtinction, BiologicalHumansMammalsModels, BiologicalReptilesSpatio-Temporal Analysis

Identifiers

PMID32080191
PMCPMC7033199

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.