Evidence map›Paper›PMID 31487744›Full record

ArticlePloS one2019

Historical range contractions can predict extinction risk in extant mammals.

Christielly Mendonça Borges, Levi Carina Terribile, Guilherme de Oliveira, Matheus de Souza Lima-Ribeiro, Ricardo Dobrovolski

Abstract read
In one paragraph

Article in PloS one, 2019. 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. 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

5 authors.

Christielly Mendonça BorgesInstituto de Biologia, Universidade Federal da Bahia, Salvador, Bahia, Brazil.ORCID 0000-0003-0484-1889
Levi Carina TerribileInstituto de Biociências, Universidade Federal de Goiás, Jataí, Goiás, Brazil.
Guilherme de OliveiraCentro de Ciências Agrárias, Ambientais e Biológicas, Universidade Federal do Recôncavo da Bahia, Cruz das Almas, Bahia, Brazil.
Matheus de Souza Lima-RibeiroInstituto de Biociências, Universidade Federal de Goiás, Jataí, Goiás, Brazil.
Ricardo DobrovolskiInstituto de Biologia, Universidade Federal da Bahia, Salvador, Bahia, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change is amongst the main threats to biodiversity. Considering extant mammals endured Quaternary climate change, we analyzed the extent to which this past change predicts current mammals' extinction risk at global and biogeographical scales. We accessed range dynamics by modeling the potential distribution of all extant terrestrial mammals in the Last Glacial Maximum (LGM, 21,000 years ago) and in current climate conditions and used extinction risk from IUCN red list. We built General Linear Mixed-Effects Models to test the magnitude with which the variation in geographic range (ΔRange) and a proxy for abundance (ΔSuitability) between the LGM and present-day predicts current mammal's extinction risk. We found past climate change most strongly reduced the geographical range and climatic suitability of threatened rather than non-threatened mammals. Quaternary range contractions and reduced suitability explain around 40% of species extinction risk, particularly for small-bodied mammals. At global and biogeographical scales, all groups that suffered significant Quaternary range contractions now contain a greater proportion of threatened species when compared to groups whose ranges did not significantly contract. This reinforces the importance of using historical range contractions as a key predictor of extinction risk for species in the present and future climate change scenarios and supports current efforts to fight climate change for biodiversity conservation.

Indexed as

BiodiversityConservation of Natural ResourcesEndangered SpeciesExtinction, BiologicalModels, BiologicalAnimalsGeographyMammalsPopulation DynamicsRisk Assessment

Identifiers

PMID31487744
PMCPMC6728145

What OpenQuestion holds

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LicenceCC BY
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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.