Title :
Modelling the potential geographic distribution of cassava green mite in Jiangxi province using GIS tools
Author :
Hui Lu ; Qing Chen ; Fuping Lu ; Xuelian Xu
Author_Institution :
Key Lab. of Pests Comprehensive Governance for Tropical Crops, Environ. & Plant Protection Inst., Haikou, China
Abstract :
The cassava green mite (CGM) is becoming more and more serious with increasing areas of planting cassava in Jiangxi province. It is urgent to analyze the potential geography distribution of CGM in Jiangxi. The Suitability of CGM in Jiangxi was studied in this paper using Maxent and ArcGIS, based on the biological data, known distribution of CGM, and meteorological data from 1950-2000 years in WorldClim. The results showed that there were 4 levels of suitability assessment of CGM in Jiangxi, whose southern areas were in the most suitability. The potential geographic distribution of CGM in Jiangxi defined in this paper constructed the theory basis and technical support for scientifically forming of quarantine policy and measure for CGM in China.
Keywords :
agriculture; geographic information systems; ArcGIS; CGM; GIS tools; Jiangxi province; Maxent; WorldClim; biological data; cassava green mite; geography distribution; meteorological data; potential geographic distribution; quarantine policy; Agriculture; Biological system modeling; Databases; Geographic information systems; Green products; Predictive models; Temperature distribution; Cassava green mite; GIS; Jiangxi; Maxent; Potential geographic distribution;
Conference_Titel :
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4799-3196-5
DOI :
10.1109/InfoSEEE.2014.6947818
