International Academy of Ecology and Environmental Sciences
Abstract
The morphometric analysis of honey bees has a substantial importance for honey bee subspecies characterization and discrimination while the ArcGIS is a geographical program for data analysis. In the present research, the combination between the morphometric data and the spatial analysis options of the ArcGIS was done and subsequently tested in creating a morphometry map for honey bees from some regions in Egypt as well as for the discrimination between two honey bee subspecies. Therefore, I present a model for creating the morphometry maps and a new method for the morphometric analysis by the transformation of the morphometric data to raster data layers. The obtained results showed that the created morphometry map classified the regions successfully according to the morphological character means. The morphometric analysis was successfully performed by using trend analysis and raster difference range. The analysis of the morphometric data as raster layers showed high sensitivity for the differences between subspecies and regions. The presented model and the method are effective and can be applied for the discrimination between subspecies, regions and colonies as well as can be used with other insects
