Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/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
![]() |
ISSN | 1211-9520 |
EISSN | 1874-9348 |
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. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。