Evidence map›Paper›PMID 31258260›Full record

ArticleBiodiversity and conservation2018

Snub-nosed monkeys (

Jonas Nüchel, Peder Klith Bøcher, Wen Xiao, A-Xing Zhu, Jens-Christian Svenning

Open access · hybridAbstract read
In one paragraph

Article in Biodiversity and conservation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Spatial distribution model of anoa,Biodiversity data journal · 2025
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  15. Anthropocene refugia: integrating history and predictive modelling to assess the space available for biodiversity in a human-dominated world.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  16. 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 at 3 institutions in 3 countries.

Jonas Nüchel1Section for Ecoinformatics & Biodiversity, Department of Bioscience, Aarhus University, Ny Munkegade 114, 8000 Aarhus, Denmark.ORCID 0000-0001-8463-6492
Peder Klith Bøcher1Section for Ecoinformatics & Biodiversity, Department of Bioscience, Aarhus University, Ny Munkegade 114, 8000 Aarhus, Denmark.
Wen Xiao3Institute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, 671003 Yunnan China.
A-Xing Zhu4School of Geography, Nanjing Normal University, Nanjing, 210023 Jiangsu China.
Jens-Christian Svenning1Section for Ecoinformatics & Biodiversity, Department of Bioscience, Aarhus University, Ny Munkegade 114, 8000 Aarhus, Denmark.
Aarhus University · DKDali University · CNUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many threatened species have undergone range retraction, and are confined to small fragmented populations. To increase their survival prospects, it is necessary to find suitable habitat outside their current range, to increase and interconnect populations. Species distribution models may be used to this purpose and can be an important part of the conservation strategies. One pitfall is that such mapping will typically assume that the current distribution represents the optimal habitat, which may not be the case for threatened species. Here, we use maximum entropy modelling (Maxent) and rectilinear bioclimatic envelope modelling with current and historical distribution data, together with the location of protected areas, and environmental and anthropogenic variables, to answer three key questions for the conservation of

Indexed as

ConservationHistorical distributionMaxentRhinopithecusSnub-nosed monkeySpecies distribution modelling

Identifiers

PMID31258260
PMCPMC6560942
OpenAlexW2785139944

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.