Evidence map›Paper›PMID 32737418›Full record

ArticleCommunications biology2020

Evolutionary history of zoogeographical regions surrounding the Tibetan Plateau.

Jiekun He, Siliang Lin, Jiatang Li, Jiehua Yu, Haisheng Jiang

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
10.1field-weighted citation impact, top 2% of its field
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

12 citing papers in PubMed, 36 citations in OpenAlex.

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  7. An updated floristic map of the world.Nature communications · 2023
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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

5 authors at 2 institutions in 1 country.

Jiekun HeSpatial Ecology Lab, School of Life Sciences, South China Normal University, 510631, Guangzhou, China.ORCID http://orcid.org/0000-0001-9401-4208
Siliang LinSpatial Ecology Lab, School of Life Sciences, South China Normal University, 510631, Guangzhou, China.ORCID http://orcid.org/0000-0003-1660-2543
Jiatang LiChengdu Institute of Biology, Chinese Academy of Sciences, 610041, Chengdu, China.
Jiehua YuSpatial Ecology Lab, School of Life Sciences, South China Normal University, 510631, Guangzhou, China.
Haisheng JiangSpatial Ecology Lab, School of Life Sciences, South China Normal University, 510631, Guangzhou, China. jhs@scnu.edu.cn.
South China Normal University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Tibetan Plateau (TP) and surrounding regions have one of the most complex biotas on Earth. However, the evolutionary history of these regions in deep time is poorly understood. Here, we quantify the temporal changes in beta dissimilarities among zoogeographical regions during the Cenozoic using 4,966 extant terrestrial vertebrates and 1,278 extinct mammal genera. We identify ten present-day zoogeographical regions and find that they underwent a striking change over time. Specifically, the fauna on the TP was close to the Oriental realm in deep time but became more similar to the Palearctic realms more recently. The present-day zoogeographical regions generally emerged during the Miocene/Pliocene boundary (ca. 5 Ma). These results indicate that geological events such as the Indo-Asian Collision, the TP uplift, and the aridification of the Asian interior underpinned the evolutionary history of the zoogeographical regions surrounding the TP over different time periods.

Indexed as

Biological EvolutionAdaptation, PhysiologicalAnimalsMammalsPhylogeographyTibetVertebrates

Identifiers

PMID32737418
PMCPMC7395132
OpenAlexW3046842501

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.