Evidence map›Paper›PMID 28272437›Full record

ArticleScientific reports2017

Potential effects of climate change on geographic distribution of the Tertiary relict tree species Davidia involucrata in China.

Cindy Q Tang, Yi-Fei Dong, Sonia Herrando-Moraira, Tetsuya Matsui, Haruka Ohashi, Long-Yuan He, Katsuhiro Nakao, Nobuyuki Tanaka, Mizuki Tomita, Xiao-Shuang Li and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  14. Predicting range shifts ofEcology and evolution · 2021
    Article
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  20. Characterization of the complete chloroplast genome ofMitochondrial DNA. Part B, Resources · 2019
    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

19 authors.

Cindy Q TangInstitute of Ecology and Geobotany, Yunnan University, Kunming 650091, China.
Yi-Fei DongInstitute of Ecology and Geobotany, Yunnan University, Kunming 650091, China.
Sonia Herrando-MorairaBotanic Institute of Barcelona (IBB-CSIC-ICUB), Passeig del Migdia s/n, Barcelona 08038, Spain.
Tetsuya MatsuiCenter for International Partnerships and Research on Climate Change, Forestry and Forest Products Research Institute, Matsunosato 1, Tsukuba-shi, Ibaraki-ken, 305-8687, Japan.
Haruka OhashiCenter for International Partnerships and Research on Climate Change, Forestry and Forest Products Research Institute, Matsunosato 1, Tsukuba-shi, Ibaraki-ken, 305-8687, Japan.
Long-Yuan HeKunming Institute of Forestry Exploration and Design, the State Forestry Administration of China, Kunming 650216, China.
Katsuhiro NakaoKansai Research Center, Forestry and Forest Products Research Institute, Momoyama, Kyoto, 612-0855 Japan.
Nobuyuki TanakaTokyo University of Agriculture,1-1-1 Sakuragaoka, Setagaya-ku, Tokyo 156-8502, Japan.
Mizuki TomitaTokyo University of Information Sciences, 4-1 Onaridai Wakaba-ku, Chiba 265-8501, Japan.
Xiao-Shuang LiYunnan Academy of Forestry, Kunming 650204, China.
Hai-Zhong YanInstitute of Ecology and Geobotany, Yunnan University, Kunming 650091, China.
Ming-Chun PengInstitute of Ecology and Geobotany, Yunnan University, Kunming 650091, China.
Jun HuKey Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Ecological Restoration Biodiversity Conservation, Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China.
Ruo-Han YangInstitute of Ecology and Geobotany, Yunnan University, Kunming 650091, China.
Wang-Jun LiInstitute of Ecology and Geobotany, Yunnan University, Kunming 650091, China.
Kai YanCenter for Mountain Ecosystem Studies, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China.
Xiuli HouDepartment of Life Science and Technology, Kunming University, Kunming 650214, China.
Zhi-Ying ZhangInstitute of Ecology and Geobotany, Yunnan University, Kunming 650091, China.
Jordi López-PujolBotanic Institute of Barcelona (IBB-CSIC-ICUB), Passeig del Migdia s/n, Barcelona 08038, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study, using species distribution modeling (involving a new approach that allows for uncertainty), predicts the distribution of climatically suitable areas prevailing during the mid-Holocene, the Last Glacial Maximum (LGM), and at present, and estimates the potential formation of new habitats in 2070 of the endangered and rare Tertiary relict tree Davidia involucrata Baill. The results regarding the mid-Holocene and the LGM demonstrate that south-central and southwestern China have been long-term stable refugia, and that the current distribution is limited to the prehistoric refugia. Given future distribution under six possible climate scenarios, only some parts of the current range of D. involucrata in the mid-high mountains of south-central and southwestern China would be maintained, while some shift west into higher mountains would occur. Our results show that the predicted suitable area offering high probability (0.5‒1) accounts for an average of only 29.2% among the models predicted for the future (2070), making D. involucrata highly vulnerable. We assess and propose priority protected areas in light of climate change. The information provided will also be relevant in planning conservation of other paleoendemic species having ecological traits and distribution ranges comparable to those of D. involucrata.

Indexed as

Climate ChangeEcosystemEndangered SpeciesRefugiumChinaConservation of Natural ResourcesGeographyModels, TheoreticalNyssaceaePopulation DynamicsTrees

Identifiers

PMID28272437
PMCPMC5341038

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.