Suitable Habitat Division of Scutellaria Baicalensis Georgi Based on Entropy Weight and Matter Element Model

ZHU Linan; WEI Haiyan; GUO Yanlong; SANG Manjie; CUI Jinliang; GU Wei

doi:10.13961/j.cnki.stbctb.2015.01.029

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Suitable Habitat Division of Scutellaria Baicalensis Georgi Based on Entropy Weight and Matter Element Model

- Suitable Habitat Division of Scutellaria Baicalensis Georgi Based on Entropy Weight and Matter Element Model
- Bulletin of Soiland Water Conservation Vol. 35, Issue 1, Pages: 153-158(2015)
- 作者机构：
  
  1. 陕西师范大学旅游与环境学院,陕西,西安,710062
  2. 西北濒危药材资源开发国家工程实验室,陕西,西安,710062
  3. 陕西师范大学生命科学学院,陕西,西安,710062
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2015.01.029
  CLC：
- Published：2015
- 稿件说明：
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ZHU Linan, WEI Haiyan, GUO Yanlong, et al. Suitable Habitat Division of Scutellaria Baicalensis Georgi Based on Entropy Weight and Matter Element Model[J]. Bulletin of Soiland Water Conservation, 2015, 35(1): 153-158.
DOI：

ZHU Linan, WEI Haiyan, GUO Yanlong, et al. Suitable Habitat Division of Scutellaria Baicalensis Georgi Based on Entropy Weight and Matter Element Model[J]. Bulletin of Soiland Water Conservation, 2015, 35(1): 153-158. DOI： 10.13961/j.cnki.stbctb.2015.01.029.

摘要

[目的

]

黄芩(Scutellaria baicalensisGeorgi)是中国3级野生保护药材物种。利用生境适宜性评价模型对黄芩的适宜生境进行区划

并计算各适宜生境面积

为保护和实现黄芩资源的可持续利用提供科学依据。[方法

]

利用熵权物元模型

建立黄芩标志性药用成分黄芩苷(C

)含量与15个环境评价因子之间的模糊隶属函数

采用熵值法确定各评价因子权重

结合GIS空间分析模拟中国黄芩生境适宜区地理空间分布。[结果

]

中国黄芩不适宜生境、低适宜生境、中适宜生境和高适宜生境的面积分别为5.07×10

1.65×10

1.88×10

和1.00×10

其中高适宜生境主要集中在秦岭-淮河一线以北

以河南、山东、辽宁、陕西中南部、河北、吉林、黑龙江南部、山西南部等地区为显著代表

此外云南、安徽等省也有少量分布

与实际分布范围极为吻合。[结论

]

评价因子中平均日较差、降水季节性变化、最湿月降水量以及坡向基本控制了黄芩的地理空间分布。

Abstract

[Objective] Scutellaria baicalensisGeorgi is the third-class conservation of wild medicinal species. We used habitat suitability assessment model to divide the suitable habitat because this information could provide scientifical support for the conservation and sustainable utilization of resources.[Methods] Entropy weight and matter element model were used to determine the fuzzy membership function of baicalin content and 15 assessment factors. The entropy evaluation method was used to determine the weight of each factor. Finally

we estimated the spatial distribution ofS. Baicalensisby GIS spatial analysis in China.[Results] The area of unsuitable

less-suitable

moderately-suitable and high-suitable habitat for S. baicalensis was 5.07×106

1.65×106

1.88×106 and 1.00×106 km2

respectively. The high-suitable habitat are mainly located in the north of Qinling Mountains-Huaihe River line

significantly Henan

Shandong

Liaoning

central and southern of Shaanxi

Hebei

Jilin

southern of Heilongjiang and Shanxi. In addition

there were some distribution in Yunnan

Anhui Province and other places

which was highly consistent with the actual distribution range.[Conclusion] Among all selected factors

mean diurnal range(MDR)

precipitation seasonality(PS)

precipitation of wettest month(PMAX) and aspect(ASPE) are the main control factors.

关键词

Keywords

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