Evidence map›Paper›PMID 32251486›Full record

ArticlePloS one2020

Predicting the dynamic distribution of Sphagnum bogs in China under climate change since the last interglacial period.

Mingyang Cong, Yueyue Xu, Luyan Tang, Wenjing Yang, Minfei Jian

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Predicting the distribution ofFrontiers in plant science · 2025
    Article
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  7. Article
  8. Article
  9. Himalayan Marmot (Animals : an open access journal from MDPI · 2023
    Article
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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.

Mingyang CongAnalytical & Testing Center, Jiangxi Normal University, Nanchang, Jiangxi Province, China.ORCID 0000-0001-9336-9576
Yueyue XuSchool of Economics & Management, Nanchang University, Nanchang, Jiangxi Province, China.
Luyan TangCollege of Life Science, Guizhou Normal University, Guiyang, Guizhou Province, China.
Wenjing YangKey Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang, Jiangxi Province, China.
Minfei JianJiangxi Provincial Key Lab of Protection and Utilization of Subtropical Plant Resources, Jiangxi Normal University, Nanchang, Jiangxi Province, China.ORCID 0000-0002-1529-2689

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sphagnum bogs possess irreplaceable ecological and economic value, and they are scarce in China, with a fragmented distribution. Based on 19 high-resolution bioclimatic environmental datasets and 71 bog center point locations, we employed a maximum entropy model (MaxEnt) to reconstruct and predict the spatial-temporal geographical distribution patterns of Sphagnum bogs from the last interglacial (LIG) period to two typical CO2 representative concentration pathway scenarios (RCP2.6, RCP8.5) in the future. We further computed the migratory paths of the distribution center points. Finally, a jackknife test was used to uncover the crucial environmental factors restricting the geographical distribution of the bogs. Our data indicated that the MaxEnt niche model had a high simulation precision with an area under the ROC curve value of 0.957. Spatially, the suitable bog habitats are currently centralized in northeastern China, including the Greater Khingan Mountains, the Lesser Khingan Mountains, and the Changbai Mountains, as well as peripheral areas of the Sichuan Basin. Temporally, the contours of Sphagnum bogs were similar to the present and rendered from the last glacial maximum (LMG) period, and had much more total area than the current. The total area in LIG was nearly the same as the current because of the similar climate. It was worth noting that there would be a reduction of the total area in the future. Loss of area occurred at the edges of bogs, especially under RCP8.5. The distribution center of bogs will shift to the northwest in the immediate future. The precipitation of driest month, the mean temperature of warmest quarter and the precipitation of warmest quarter were identified as crucial climatic factors affecting the distribution of Sphagnum bogs. Overall, our research provides scientific evidence for the long-term protection and effective management of these rare, precious natural resources and suggestions for in situ conservation.

Indexed as

Climate ChangeEcosystemModels, BiologicalSphagnopsidaChinaComputer SimulationConservation of Natural ResourcesSpatio-Temporal AnalysisWetlands

Identifiers

PMID32251486
PMCPMC7135081

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LicenceCC BY
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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.