Spatial distribution and ecological environment analysis of great gerbil in Xinjiang Plague epidemic foci based on remote sensing
Gao Mengxu; Wang Juanle
2014
会议名称35th International Symposium on Remote Sensing of Environment, ISRSE 2013, April 22, 2013 - April 26, 2013
会议地点Beijing, China
关键词Remote sensing Ecology Geographic information systems Spatial distribution
英文摘要Yersinia pestis (Plague bacterium) from great gerbil was isolated in 2005 in Xinjiang Dzungarian Basin, which confirmed the presence of the plague epidemic foci. This study analysed the spatial distribution and suitable habitat of great gerbil based on the monitoring data of great gerbil from Chinese Center for Disease Control and Prevention, as well as the ecological environment elements obtained from remote sensing products. The results showed that: (1) 88.5% (277/313) of great gerbil distributed in the area of elevation between 200 and 600 meters. (2) All the positive points located in the area with a slope of 0-3 degree, and the sunny tendency on aspect was not obvious. (3) All 313 positive points of great gerbil distributed in the area with an average annual temperature from 5 to 11 C, and 165 points with an average annual temperature from 7 to 9 C. (4) 72.8% (228/313) of great gerbil survived in the area with an annual precipitation of 120-200mm. (5) The positive points of great gerbil increased correspondingly with the increasing of NDVI value, but there is no positive point when NDVI is higher than 0.521, indicating the suitability of vegetation for great gerbil. This study explored a broad and important application for the monitoring and prevention of plague using remote sensing and geographic information system.
收录类别EI
会议录出版者Institute of Physics Publishing
语种英语
ISSN号17551307
内容类型会议论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/31069]  
专题地理科学与资源研究所_历年回溯文献
地理科学与资源研究所_资源与环境信息系统国家重点实验室
推荐引用方式
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Gao Mengxu,Wang Juanle. Spatial distribution and ecological environment analysis of great gerbil in Xinjiang Plague epidemic foci based on remote sensing[C]. 见:35th International Symposium on Remote Sensing of Environment, ISRSE 2013, April 22, 2013 - April 26, 2013. Beijing, China.
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