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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...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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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. |
format | Text |
id | pubmed-2940885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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