GYIG OpenIR  > 环境地球化学国家重点实验室
Modelling the geographic distributions of endemic genera in the eastern Central Asian desert
Song-Mei Ma;  Ming-Li Zhang;  Jian Ni;  Xi Chen
2012
Source PublicationNordic Journal of Botany
Volume30Issue:3Pages:372–384
Abstract

This study simulates the distributions of 13 endemic and near‐endemic genera (Ammopiptanthus, Sympegma, Iljinia, Elachanthemum, Potaninia, Tugarinovia, Kaschgaria, Sarcozygium, Timouria, Zollikoferia, Stilpnolepis, Synstemon and Tetraena) to indicate areas of plant diversity and conservation importance within the eastern Central Asian desert, and to identify the determinant environmental variables contributing to the spatial distribution patterns. Using known distribution localities and 14 environmental variables, the Maxent and Domain species distribution models were employed to map the patterns of geographic distribution. The power of predictability of the models was tested using the receiver operating characteristic method and the jackknife validation approach, according to the different number of species localities available. The estimated richness and the superimposed potential distributions of 13 genera were used to indicate endemic patterns of distribution. The comparison of Maxent and Domain further identified previously unknown areas of endemism and described the distribution for each taxon. Both observed species occurrence and the species occurrence predicted from the Maxent indicated that the eastern Alashan of Inner Mongolia is the most noticeable endemic area, and the northwestern and northern Tarim Basin of Xinjiang is the secondary center of plant diversity. These regions were then prioritized for conservation importance. Potential evapotranspiration ratio and precipitation seasonality played important roles in driving the observed patterns of endemic distribution.

Indexed BySCI
Language英语
Document Type期刊论文
Identifierhttp://ir.gyig.ac.cn/handle/42920512-1/10986
Collection环境地球化学国家重点实验室
Affiliation1.Key Lab of Biogeography and Bioresources in Arid Land, Xinjiang Inst. of Ecology and Geography, Chinese Academy of Sciences, PR-830011 Urumqi, PR China
2.Graduate Univ., Chinese Academy of Sciences, CN-100039 Beijing, PR China.
3.Inst. of Botany, Chinese Academy of Sciences, CN-100093 Beijing, PR China
4.State Key Lab of Environmental Geochemistry, Inst. of Geochemistry, Chinese Academy of Sciences, CN-550002 Guiyang, PR China
Recommended Citation
GB/T 7714
Song-Mei Ma;Ming-Li Zhang;Jian Ni;Xi Chen. Modelling the geographic distributions of endemic genera in the eastern Central Asian desert[J]. Nordic Journal of Botany,2012,30(3):372–384.
APA Song-Mei Ma;Ming-Li Zhang;Jian Ni;Xi Chen.(2012).Modelling the geographic distributions of endemic genera in the eastern Central Asian desert.Nordic Journal of Botany,30(3),372–384.
MLA Song-Mei Ma;Ming-Li Zhang;Jian Ni;Xi Chen."Modelling the geographic distributions of endemic genera in the eastern Central Asian desert".Nordic Journal of Botany 30.3(2012):372–384.
Files in This Item: Download All
File Name/Size DocType Version Access License
Modelling the geogra(3642KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Song-Mei Ma;Ming-Li Zhang;Jian Ni;Xi Chen]'s Articles
Baidu academic
Similar articles in Baidu academic
[Song-Mei Ma;Ming-Li Zhang;Jian Ni;Xi Chen]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Song-Mei Ma;Ming-Li Zhang;Jian Ni;Xi Chen]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Modelling the geographic distributions of endemic genera in the eastern Central Asian desert.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.