Evidence map›Paper›PMID 30828359›Full record

ArticleChinese medicine2019

A new GIS model for ecologically suitable distributions of medicinal plants.

Jie Wu, Xiwen Li, Linfang Huang, Xiangxiao Meng, Haoyu Hu, Lu Luo, Shilin Chen

Abstract read
In one paragraph

Article in Chinese medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  9. Assessment of Carbon Sequestration Capacity ofSensors (Basel, Switzerland) · 2023
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  12. Review
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

7 authors.

Jie Wu *1Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700 China.
Xiwen Li *1Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700 China.
Linfang Huang *2Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100193 China.
Xiangxiao Meng1Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700 China.
Haoyu Hu1Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700 China.
Lu Luo1Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700 China.
Shilin Chen1Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe endangered rate of medicinal plant exceeds that of endangered plant species. However, blindly introducing medicinal plants in regions without comprehensively considering the involved environmental factors results in diseases and insect pests and the consequent overproof pesticide residue as well as reduces the quality of herbal medicine produced.

methodsGlobal Medicinal Plant Geographic Information System (GMPGIS) was developed to analyze environmental information of ecologically suitable regions, thus guiding the conservation and introduction of medicinal plants. This system is based on theories and methods from multiple disciplines, including computer science, geoinformatics, ecology, and traditional herbal medicine. Using a range-based method, the previously established ecologically suitable regions were evaluated. This new method effectively resolved the problem of outlier points, and its functions were implemented in Python. The system automatically calculates the Euclidean distance of climatic factors and intersection of soil factors, thus identifying regions with high ecological similarity and those are climatically and edaphically suitable for the cultivation of medicinal plants.

resultsThese results, validated using real-world regions, revealed that GMPGIS is highly accurate in screening ecologically suitable regions for the cultivation of medicinal plants worldwide.

conclusionsOverall, because of these features, the GMPGIS is considered as a suitable distribution analysis system for global medicinal plant cultivation.

Indexed as

Ecologically suitable regionsEuclidean distanceGMPGISMedicinal plantRange-based method

Identifiers

PMID30828359
PMCPMC6383245

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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.