Evidence map›Paper›PMID 42455935›Full record

ArticleScience advances2026

Predictors of extinction risk in large tropical forest mammals: From global to local.

Simon D Schowanek, Douglas Sheil, Lydia Beaudrot, Pierre Dupont, Santiago Espinosa, Vittoria Estienne, Julia E Fa, Jonas Geldmann, Patrick A Jansen, Steig E Johnson and 18 more

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

28 authors.

Simon D SchowanekFaculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences (NMBU), Ås, Norway.ORCID 0000-0001-6036-7507
Douglas SheilFaculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences (NMBU), Ås, Norway.ORCID 0000-0002-1166-6591
Lydia BeaudrotDepartment of Integrative Biology, Michigan State University, Michigan, USA.ORCID 0000-0001-8135-7519
Pierre DupontFaculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences (NMBU), Ås, Norway.ORCID 0000-0002-7438-7995
Santiago EspinosaFacultad de Ciencias, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México.ORCID 0000-0002-7416-7167
Vittoria EstienneNouabalé-Ndoki National Park, Wildlife Conservation Society - Congo Program, Brazzaville, Republic of the Congo.ORCID 0000-0002-3288-4010
Julia E FaCenter for International Forestry Research (CIFOR), Kota Bogor, Indonesia.ORCID 0000-0002-1572-9828
Jonas GeldmannCenter for Macroecology, Evolution and Climate, Globe Institute, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-1191-7610
Patrick A JansenWildlife Ecology and Conservation Group, Wageningen University & Research, Wageningen, Netherlands.ORCID 0000-0002-4660-0314
Steig E JohnsonDepartment of Anthropology & Archaeology, University of Calgary, Calgary, Canada.ORCID 0000-0003-2257-8949
Francesco RoveroDepartment of Biology, University of Florence, Florence, Italy.ORCID 0000-0001-6688-1494
Fernanda SantosBiogeography of Conservation and Macroecology Laboratory, Institute of Biological Sciences, Universidade Federal do Pará, Pará, Brazil.ORCID 0000-0002-1886-446X
Asunción Semper-PascualFaculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences (NMBU), Ås, Norway.ORCID 0000-0001-7376-9214
Andrea Fernanda Vallejo VargasFaculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences (NMBU), Ås, Norway.ORCID 0000-0002-5959-3352
Jorge A AhumadaWildMon, Lewes, DE, USA.ORCID 0000-0003-0953-9101
Emmanuel AkampuriraUganda Wildlife Research and Training College, Kasese, Uganda.ORCID 0000-0002-2385-9948
Rajan AminConservation Programmes, Zoological Society of London, London, UK.
Robert BitarihoInstitute of Tropical Forest Conservation, Mbarara University of Science and Technology, Mbarara, Uganda.ORCID 0000-0002-3461-0013
Adeline FayolleTERRA Teaching and Research Centre (Forest Is Life), University of Liège, Gembloux, Belgium.ORCID 0000-0002-6770-0031
Davy FonteynTERRA Teaching and Research Centre (Forest Is Life), University of Liège, Gembloux, Belgium.ORCID 0000-0003-0667-3938
Ilaria GrecoDepartment of Biology, University of Florence, Florence, Italy.ORCID 0000-0002-6208-2465
Marcela Guimarães Moreira LimaBiogeography of Conservation and Macroecology Laboratory, Institute of Biological Sciences, Universidade Federal do Pará, Pará, Brazil.ORCID 0000-0002-2203-7598
Matthew Scott LuskinSchool of the Environment, University of Queensland, Brisbane, Australia.ORCID 0000-0002-5236-7096
David KenfackForestGEO, Smithsonian Tropical Research Institute, Washington, DC, USA.ORCID 0000-0001-8208-3388
Emanuel H MartinCollege of African Wildlife Management, Mweka, Tanzania.ORCID 0000-0003-1801-5131
Eustrate UzabahoInternational Gorilla Conservation Programme, Musanze, Rwanda.ORCID 0000-0002-7563-6455
Cédric VermeulenTERRA Teaching and Research Centre (Forest Is Life), University of Liège, Gembloux, Belgium.ORCID 0000-0002-1618-1892
Richard BischofFaculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences (NMBU), Ås, Norway.ORCID 0000-0002-1267-9183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies can only guide conservation if their findings are informative at the scales at which practitioners and policy-makers operate. Yet, it is rarely tested whether large-scale studies reach similar conclusions to the smaller-scale studies on which conservation traditionally relies. We examine whether predictors of extinction risk are consistent across global, regional, and local scales, for 210 tropical forest mammal species (≥1 kg) that existed during the last 130,000 years, in 64 tropical forests, across three biogeographical realms. We found consistent predictors of extinction risk (body mass, generation length, diet, brain volume, and scansoriality) when analyses differed only in their spatial resolution. However, predictors differed when analyses also varied in their temporal extent. Macroecological findings about extinction risk can, thus, inform conservation at smaller scales, but they risk misidentifying threatened species if differences in temporal extent are not recognized.

Indexed as

Extinction, BiologicalForestsMammalsTropical ClimateAnimalsConservation of Natural ResourcesEcosystemEndangered Species

Identifiers

PMID42455935
PMCPMC13371926

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.