Mosquito Larval Species and Geographical Information System (GIS) Mapping of Environmental Vulnerable Areas, Dakhla Oasis, Egypt
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Date
2019-01
Journal Title
Journal ISSN
Volume Title
Publisher
SCIENCEDOMAIN international
Abstract
Aims: This paper investigates the spatial distribution of mosquito breeding sites within the Dakhla oasis of the Western Desert of Egypt.
Study Design: GIS spatial analysis was used to map the area under risk of mosquito proliferation.
Place and Duration of Study: Dakhla oases, during September 2009 to October 2010.
Methodology: Landsat images, synchronized with mosquito larval survey, were processed to identify the vegetation status of the study area. Twenty-two locations distributed in Dakhla oasis were investigated as nine mosquito species were collected from drains, paddle fields, and waterlogged areas.
Results: Results showed that the main vector of Malaria disease (Anopheles pharoensis and Anopheles sergentii), as well as the Culex pipiens, which is the main vector of filarial disease are abundant. Further, the geo-environmental setting and the discharge of increasing cultivated areas develop considerable waterlogging and pond areas, which are favorable breeding sites of mosquito. In Dakhla oases, the produced risk map showed that a large part of urban and cultivated regions were at risk of mosquito spread.
Conclusion: It was concluded that mosquito larval populations fluctuated with the dynamics of vegetation cover in Dakhla. Multi-year data of mosquito collections are still required to provide a better characterization of the abundance of these insects from year to year which can potentially provide predictive capability of their population density based on remotely sensed ecological measurements.
Description
Keywords
Environmental risk, mosquito, GIS, Dakhla
Citation
Sowilem M. M., El-Zeiny A. M., Mohamed E. S. Mosquito Larval Species and Geographical Information System (GIS) Mapping of Environmental Vulnerable Areas, Dakhla Oasis, Egypt. International Journal of Environment and Climate Change. 2019 Jan; 9(1): 17-28