Arid
DOI10.1007/s12224-009-9042-0
Predictive Mapping of Plant Species and Communities Using GIS and Landsat Data in a Southern Mongolian Mountain Range
von Wehrden, Henrik1,2,3; Zimmermann, Heike1,2; Hanspach, Jan4; Ronnenberg, Katrin1,2; Wesche, Karsten1,2
通讯作者von Wehrden, Henrik
来源期刊FOLIA GEOBOTANICA
ISSN1211-9520
EISSN1874-9348
出版年2009
卷号44期号:3页码:211-225
英文摘要

We assessed presence/absence prediction of plant species and communities in a southern Mongolian mountain range from geospatial data using a randomized sampling approach. One hundred randomized vegetation samples (3 x 3 m) were collected within the 2 x 2 km summit region of the Dund Saykhan range, which forms part of the core zone of the Gobi Gurvan Saykhan National Park in arid southern Mongolia. Using logistic regression, habitat preference models for all abundant species (n = 52) and communities (n = 5) were constructed; predictors were derived from Landsat 5 imagery and a digital elevation model. Nagelkerkes r (2) was used for an initial data mining, and all significant models were validated by splitting the data and using one half for accuracy assessment based on the AUC (Area Under the receiver operating characteristic Curve)-values. Significant models could be built for half of the species. Altitude proved to be the most important predictor followed by variables derived from Landsat data. The clear altitudinal distribution patterns most definitely reflect precipitation; overall biodiversity in this arid environment is widely controlled by moisture availability. The chosen approach may prove valuable for applied studies wherever spatial data on species distributions are required for conservation efforts.


英文关键词Area under the curve Central Asia Gobi desert Habitat preference Logistic regression model Species distribution Validation
类型Article
语种英语
国家Germany ; Austria
收录类别SCI-E
WOS记录号WOS:000270980500001
WOS关键词VEGETATION CLASSIFICATION ; GOBI ; MODELS ; TOPOGRAPHY ; RICHNESS ; DISTRIBUTIONS ; BIODIVERSITY ; GRADIENTS ; VARIABLES ; LICHENS
WOS类目Plant Sciences
WOS研究方向Plant Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/160639
作者单位1.Univ Halle Wittenberg, Inst Biol Geobot, D-06108 Halle, Germany;
2.Univ Halle Wittenberg, Bot Garden, D-06108 Halle, Germany;
3.Res Inst Wildlife Ecol, A-1160 Vienna, Austria;
4.UFZ Helmholtz Ctr Environm Res, Helmholtz Ctr Environm Res, D-06120 Halle, Germany
推荐引用方式
GB/T 7714
von Wehrden, Henrik,Zimmermann, Heike,Hanspach, Jan,et al. Predictive Mapping of Plant Species and Communities Using GIS and Landsat Data in a Southern Mongolian Mountain Range[J],2009,44(3):211-225.
APA von Wehrden, Henrik,Zimmermann, Heike,Hanspach, Jan,Ronnenberg, Katrin,&Wesche, Karsten.(2009).Predictive Mapping of Plant Species and Communities Using GIS and Landsat Data in a Southern Mongolian Mountain Range.FOLIA GEOBOTANICA,44(3),211-225.
MLA von Wehrden, Henrik,et al."Predictive Mapping of Plant Species and Communities Using GIS and Landsat Data in a Southern Mongolian Mountain Range".FOLIA GEOBOTANICA 44.3(2009):211-225.
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