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TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of Rheum tanguticum

BACKGROUND: Many medicinal plants are increasingly endangered due to overexploitation and habitat destruction. To provide reliable references for conservation planning and regional management, this study focuses on large-scale distribution prediction of Rheum tanguticum Maxim. ex Balf (Dahuang). MET...

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Detalles Bibliográficos
Autores principales: Yu, Hua, Xie, Caixiang, Song, Jingyuan, Zhou, Yingqun, Chen, Shilin
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940885/
https://www.ncbi.nlm.nih.gov/pubmed/20735861
http://dx.doi.org/10.1186/1749-8546-5-31
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author Yu, Hua
Xie, Caixiang
Song, Jingyuan
Zhou, Yingqun
Chen, Shilin
author_facet Yu, Hua
Xie, Caixiang
Song, Jingyuan
Zhou, Yingqun
Chen, Shilin
author_sort Yu, Hua
collection PubMed
description BACKGROUND: Many medicinal plants are increasingly endangered due to overexploitation and habitat destruction. To provide reliable references for conservation planning and regional management, this study focuses on large-scale distribution prediction of Rheum tanguticum Maxim. ex Balf (Dahuang). METHODS: Native habitats were determined by specimen examination. An improved version of GIS-based program for the distribution prediction of traditional Chinese medicine (TCMGIS-II) was employed to integrate national geographic, climate and soil type databases of China. Grid-based distance analysis of climate factors was based on the Mikowski distance and the analysis of soil types was based on grade division. The database of resource survey was employed to assess the reliability of prediction result. RESULTS: A total of 660 counties of 17 provinces in China, covering a land area of 3.63 × 10(6 )km(2), shared similar ecological factors with those of native habitats appropriate for R. tanguticum growth. CONCLUSION: TCMGIS-II modeling found the potential habitats of target medicinal plants for their conservation planning. This technology is useful in conservation planning and regional management of medicinal plant resources.
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spelling pubmed-29408852010-10-06 TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of Rheum tanguticum Yu, Hua Xie, Caixiang Song, Jingyuan Zhou, Yingqun Chen, Shilin Chin Med Research BACKGROUND: Many medicinal plants are increasingly endangered due to overexploitation and habitat destruction. To provide reliable references for conservation planning and regional management, this study focuses on large-scale distribution prediction of Rheum tanguticum Maxim. ex Balf (Dahuang). METHODS: Native habitats were determined by specimen examination. An improved version of GIS-based program for the distribution prediction of traditional Chinese medicine (TCMGIS-II) was employed to integrate national geographic, climate and soil type databases of China. Grid-based distance analysis of climate factors was based on the Mikowski distance and the analysis of soil types was based on grade division. The database of resource survey was employed to assess the reliability of prediction result. RESULTS: A total of 660 counties of 17 provinces in China, covering a land area of 3.63 × 10(6 )km(2), shared similar ecological factors with those of native habitats appropriate for R. tanguticum growth. CONCLUSION: TCMGIS-II modeling found the potential habitats of target medicinal plants for their conservation planning. This technology is useful in conservation planning and regional management of medicinal plant resources. BioMed Central 2010-08-25 /pmc/articles/PMC2940885/ /pubmed/20735861 http://dx.doi.org/10.1186/1749-8546-5-31 Text en Copyright ©2010 Yu et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Yu, Hua
Xie, Caixiang
Song, Jingyuan
Zhou, Yingqun
Chen, Shilin
TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of Rheum tanguticum
title TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of Rheum tanguticum
title_full TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of Rheum tanguticum
title_fullStr TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of Rheum tanguticum
title_full_unstemmed TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of Rheum tanguticum
title_short TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of Rheum tanguticum
title_sort tcmgis-ii based prediction of medicinal plant distribution for conservation planning: a case study of rheum tanguticum
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940885/
https://www.ncbi.nlm.nih.gov/pubmed/20735861
http://dx.doi.org/10.1186/1749-8546-5-31
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