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 Publication | Nordic Journal of Botany
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Volume | 30Issue: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 By | SCI |
Language | 英语 |
Document Type | 期刊论文 |
Identifier | http://ir.gyig.ac.cn/handle/42920512-1/10986 |
Collection | 环境地球化学国家重点实验室 |
Affiliation | 1.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. |
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