Evidence map›Paper›PMID 39353553›Full record

ArticleProceedings. Biological sciences2024

Global primary predictors of extinction risk in primates.

Carmen Galán-Acedo, Luis Darcy Verde Arregoitia, Ricard Arasa-Gisbert, Daniel Auliz-Ortiz, Laura L Saldivar-Burrola, Sidney F Gouveia, Isadora Correia, Fernando Antonio Rosete-Vergés, Russell Dinnage, Fabricio Villalobos

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Global primary predictors of extinction risk in primates.Proceedings. Biological sciences · 2024
    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

10 authors.

Carmen Galán-AcedoDepartment of Biology, Geomatics and Landscape Ecology Laboratory, Carleton University, Ottawa, Ontario K1S 5B6, Canada.ORCID 0000-0002-2333-5810
Luis Darcy Verde ArregoitiaRed de Biología Evolutiva, Instituto de Ecología A.C, Xalapa, Veracruz 91073, Mexico.ORCID 0000-0001-9520-6543
Ricard Arasa-GisbertInstituto de Investigaciones Forestales, Universidad Veracruzana, Xalapa-Enríquez, Veracruz 91070, Mexico.
Daniel Auliz-OrtizDepartament of Zoology, Instituto de Biología, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
Laura L Saldivar-BurrolaRed de Biología Evolutiva, Instituto de Ecología A.C, Xalapa, Veracruz 91073, Mexico.
Sidney F GouveiaDepartment of Ecology, Universidade Federal de Sergipe, São Cristóvão, Sergipe, Brazil.
Isadora CorreiaDepartment of Ecology, Universidade Federal de Sergipe, São Cristóvão, Sergipe, Brazil.
Fernando Antonio Rosete-VergésEscuela Nacional de Estudios Superiores, Universidad Nacional Autónoma de México, Morelia, Michoacán 37684, Mexico.
Russell DinnageDepartment of Biological Sciences, Florida International University, Miami, FL 33199, USA.
Fabricio VillalobosRed de Biología Evolutiva, Instituto de Ecología A.C, Xalapa, Veracruz 91073, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying the main predictors of species' extinction risk while accounting for the effects of spatial and phylogenetic structures in the data is key to preventing species loss in tropical forests through adequate conservation practices. We recorded 22 705 precise geographical locations of primate occurrence across four major geographic realms (Neotropics, mainland Africa, Madagascar and Asia) to assess predictors of threat status using a novel Bayesian spatio-phylogenetic approach. We estimated the relative contributions of fixed factors (forest amount, body mass, home range, diel activity, locomotion, evolutionary distinctiveness and climatic instability) and random factors (space and phylogeny) to primate extinction risk. Precipitation instability increased the extinction risk in the Neotropics but decreased it in mainland Africa and Madagascar. Forest amount was negatively associated with extinction risk in all realms except Madagascar. Body mass increased the extinction risk in the Neotropics and Madagascar, whereas home range increased the extinction risk in mainland Africa and decreased it in Asia. Evolutionary distinctiveness negatively influenced extinction risk only in mainland Africa. Our findings highlight the importance of climate change mitigation and forest protection strategies. Increasing the protection of large primates and reducing hunting are also essential.

Indexed as

Climate ChangeExtinction, BiologicalPrimatesAfricaAnimalsAsiaBayes TheoremConservation of Natural ResourcesForestsMadagascarPhylogenybiogeographical realmsclimatic instabilityhabitat losshuman-modified landscapesmonkeysspatio-phylogenetic model

Identifiers

PMID39353553
PMCPMC11444774

What OpenQuestion holds

Textmetadata
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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.