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

<p>Abstract</p> <p>Background</p> <p>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 predi...

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Main Authors: Yu Hua, Xie Caixiang, Song Jingyuan, Zhou Yingqun, Chen Shilin
Format: Article
Language:English
Published: BMC 2010-08-01
Series:Chinese Medicine
Online Access:http://www.cmjournal.org/content/5/1/31
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spelling doaj-dfe368ea1d114e38ad3b602ba33b12302020-11-24T21:19:07ZengBMCChinese Medicine1749-85462010-08-01513110.1186/1749-8546-5-31TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of <it>Rheum tanguticum</it>Yu HuaXie CaixiangSong JingyuanZhou YingqunChen Shilin<p>Abstract</p> <p>Background</p> <p>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 <it>Rheum tanguticum </it>Maxim. ex Balf (<it>Dahuang</it>).</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>A total of 660 counties of 17 provinces in China, covering a land area of 3.63 × 10<sup>6 </sup>km<sup>2</sup>, shared similar ecological factors with those of native habitats appropriate for <it>R. tanguticum </it>growth.</p> <p>Conclusion</p> <p>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.</p> http://www.cmjournal.org/content/5/1/31
collection DOAJ
language English
format Article
sources DOAJ
author Yu Hua
Xie Caixiang
Song Jingyuan
Zhou Yingqun
Chen Shilin
spellingShingle 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 <it>Rheum tanguticum</it>
Chinese Medicine
author_facet Yu Hua
Xie Caixiang
Song Jingyuan
Zhou Yingqun
Chen Shilin
author_sort Yu Hua
title TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of <it>Rheum tanguticum</it>
title_short TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of <it>Rheum tanguticum</it>
title_full TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of <it>Rheum tanguticum</it>
title_fullStr TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of <it>Rheum tanguticum</it>
title_full_unstemmed TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of <it>Rheum tanguticum</it>
title_sort tcmgis-ii based prediction of medicinal plant distribution for conservation planning: a case study of <it>rheum tanguticum</it>
publisher BMC
series Chinese Medicine
issn 1749-8546
publishDate 2010-08-01
description <p>Abstract</p> <p>Background</p> <p>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 <it>Rheum tanguticum </it>Maxim. ex Balf (<it>Dahuang</it>).</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>A total of 660 counties of 17 provinces in China, covering a land area of 3.63 × 10<sup>6 </sup>km<sup>2</sup>, shared similar ecological factors with those of native habitats appropriate for <it>R. tanguticum </it>growth.</p> <p>Conclusion</p> <p>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.</p>
url http://www.cmjournal.org/content/5/1/31
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