Evidence map›Paper›PMID 30598784›Full record

ArticleEcology and evolution2018

Decreasing brown bear (

Junhu Su, Achyut Aryal, Ibrahim M Hegab, Uttam Babu Shrestha, Sean C P Coogan, Sambandam Sathyakumar, Munkhnast Dalannast, Zhigang Dou, Yila Suo, Xilite Dabu and 3 more

Abstract read
In one paragraph

Article in Ecology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
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  7. Article
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  9. Article
  10. Spatial-Temporal Patterns of Sympatric Asiatic Black Bears (Animals : an open access journal from MDPI · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Decreasing brown bear (Ecology and evolution · 2018
    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

13 authors.

Junhu SuCollege of Grassland Science, Key Laboratory of Grassland Ecosystem (Ministry of Education) Gansu Agricultural University Lanzhou China.ORCID https://orcid.org/0000-0002-3416-6354
Achyut AryalGansu Agricultural University-Massey University Research Centre for Grassland Biodiversity Gansu Agricultural University Lanzhou China.ORCID 0000-0001-6658-8714
Ibrahim M HegabCollege of Grassland Science, Key Laboratory of Grassland Ecosystem (Ministry of Education) Gansu Agricultural University Lanzhou China.
Uttam Babu ShresthaInstitute for Agriculture and the Environment University of Southern Queensland Toowoomba QLD Australia.
Sean C P CooganThe Charles Perkins Centre, School of Biological Sciences The University of Sydney Sydney Australia.
Sambandam SathyakumarWildlife Institute of India Chandrabani India.
Munkhnast DalannastBats Research Center of Mongolia Ulaanbaatar Mongolia.
Zhigang DouGansu Yanchiwan National Nature Reserve Bureau Subei China.
Yila SuoGansu Yanchiwan National Nature Reserve Bureau Subei China.
Xilite DabuGansu Yanchiwan National Nature Reserve Bureau Subei China.
Hongyan FuGansu Yanchiwan National Nature Reserve Bureau Subei China.
Liji WuGansu Yanchiwan National Nature Reserve Bureau Subei China.
Weihong JiCollege of Grassland Science, Key Laboratory of Grassland Ecosystem (Ministry of Education) Gansu Agricultural University Lanzhou China.ORCID 0000-0001-5240-3344

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Around the world, climate change has impacted many species. In this study, we used bioclimatic variables and biophysical layers of Central Asia and the Asian Highlands combined with presence data of brown bear (

Indexed as

Asian highlandsbrown bearCentral Asiaclimate changehabitat shiftspecies distribution model

Identifiers

PMID30598784
PMCPMC6303720

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.