标题:Determining the number and distribution of Firmiana Danxiaensis, a rare and endangered plant species in Danxiashan, South China, using DEM data and UAV technology
期刊名称:IOP Conference Series: Earth and Environmental Science
印刷版ISSN:1755-1307
电子版ISSN:1755-1315
出版年度:2019
卷号:227
期号:5
页码:052005
DOI:10.1088/1755-1315/227/5/052005
出版社:IOP Publishing
摘要:Firmiana danxiaensis, a rare and endangered plant species in Danxiashan, South China, belongs to Sterculiaceae family. The central Danxiashan covering an area of 10.6 km2 was selected as a case study. The location data of F. danxiaensis was collected by field work, and the environmental variables (slope, aspect, and elevation) were generated from DEM data of 1m resolution, while their images were collected by unmanned aerial vehicle (UAV) in revealing the relationships between the micro-landforms and their spatial distribution. Three spatial analysis modules of ArcGIS10.0, including the Raster Surface-Contour List, slope, and aspect functions were used to extract from the DEM data of 1m resolution which were superimposed on the remotely-sensed photo data and transferred onto maps for the purpose of visualizations. The visualized maps indicated that there were no more than 1000 F.danxiaensis in the case study area. They are mainly distributed along sheer Danxia cliffs, with slopes above 30º and elevation ranges from100-300m. Also these cliffs have with vertical joints or horizontal bedding, and some drought tolerant plants, such as Osteomeles subrotunda, Lycoris aurea, and Selaginella tamariscina were usually found nearby. The main conclusions are as follows: 1The special Danxia landforms provided the key survival space for F. danxiaensis which is a kind of drought tolerant plant, growing mainly along Danxia cliffs with joints or beddings of thin barren soils. 2 According to the rules discussed above, F. danxiaensis is presumably distributed outside of the case area with the similar sheer cliff micro-landform environments in Danxia landforms. 3 Our research here may provide a proof of concept that UAVs may provide a low cost and accurate method in fast conducting surveys of data.