Evidence map›Paper›PMID 37000795›Full record

ArticlePloS one2023

Suitability changes of Citrus medica L. var. sarcodactylis Swingle, a medicine-food plants affected by climate warming using the optimized MaxEnt model.

Yanli Xia, Muhammad Kazim, Muhammad Nabeel Nasir, Yuxia Yang, Qiang Li, Ting Li, Shiliang Xu, Yihe Wang, Xuchen Fan, Jinpeng Zhao and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.8field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  4. Potential planting regions ofEcology and evolution · 2024
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  7. Current and future distribution ofFrontiers in plant science · 2024
    Article
  8. 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

11 authors at 3 institutions in 1 country.

Yanli XiaSchool of Food and Bioengineering, Chengdu University, Chengdu, 610106, PR China.
Muhammad KazimMedical Officer THQ Hospital Kalur Kot, District BHAKKAR, Punjab, Pakistan.
Muhammad Nabeel NasirHealth Department Punjab, Punjab, Pakistan.
Yuxia YangSichuan Provincial Key Laboratory of Quality and Innovation Research of Chinese Materia Medica, Sichuan Academy of Traditional Chinese Medicine Sciences, Chengdu, 610041, PR China.
Qiang LiZigong Meteorological Bureau, Zigong, 64300, PR China.
Ting LiSchool of Food and Bioengineering, Chengdu University, Chengdu, 610106, PR China.
Shiliang XuSchool of Food and Bioengineering, Chengdu University, Chengdu, 610106, PR China.
Yihe WangSchool of Food and Bioengineering, Chengdu University, Chengdu, 610106, PR China.
Xuchen FanSchool of Food and Bioengineering, Chengdu University, Chengdu, 610106, PR China.
Jinpeng ZhaoSichuan Provincial Rural Economic Information Center, Chengdu, 610072, PR China.
Rulin WangSichuan Provincial Rural Economic Information Center, Chengdu, 610072, PR China.ORCID 0000-0002-1431-0769
Chengdu University · CNResearch Center for Rural Economy · CNSichuan Academy of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climatic variables are important conditions for plant growth, development and reproduction. Citrus medica L. var. sarcodactylis Swingle (Rutaceae: Citrus) is one of the traditional bulk Chinese medicinal materials in China with the effects of bacteriostasis, anti-inflammatory, anti-oxidation, anti-cancer cells, regulating the immun. Analyzing the impact of climate change on geographical distribution of C. medica L. var. sarcodactylis can provide strong support for its production layout and agricultural zoning. In our paper, MaxEnt and ArcGIS were applied to simulate the suitable areas of C. medica L. var. sarcodactylis in China from the perspectives of bioclimate, soil, topographic factors and human activities, and the future climate scenarios generated by global climate models (GCMs) were selected to predict its suitable areas in 2050s and 2090s. Results showed that, 1) Under current climate condition, areas of the total, most, moderately and poorly suitable habitats of C. medica L. var. sarcodactylis in China were 177.36×104 km2, 22.27×104 km2, 51.96×104 km2 and 103.13×104 km2 respectively. The range of the most suitable habitat was the narrowest, which was located in the middle east of Sichuan, western Chongqing in the upstream of the Yangtze River Basin, southern Guizhou and western Guangxi in the upstream of the Pearl River Basin, central and southern Yunnan and Southeast Tibet in the Middle-Lower reaches of the Southwest River Basin and western Taiwan. 2) Under the future climate change scenarios, the total suitable area showed a significant increase trend in 2090s, and the change of most, moderately and poorly suitable habitats showed no obvious law. 3) Under SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios, the centroid of the most suitable habitat of C. medica L. var. sarcodactylis would move to the northwest, southeast and southwest respectively.

Indexed as

CitrusAgricultureChinaClimate ChangeEcosystemHumansSoilTibetSoil

Identifiers

PMID37000795
PMCPMC10065301
OpenAlexW4362474094

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.