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The goal of this study was to examine the impact of Africanization on the genetic structure of the Welder Wildlife Refuge feral honey bee population by scoring mtDNA and microsatellite polymorphisms. Adult honey bee workers, collected between 1991 and 2001, were screened for mtDNA using the cytochrome b/BglII, ls rRNA/EcoRI, and COI/HinfI PCR-based assays. The procedure allowed identification of four mitotypes: eastern European, western European, A. m. lamarckii, and A. m. scutellata. The relative frequencies of the four mitotypes changed radically during the 11-year period. Prior to immigration of Africanized honey bees, the resident population was essentially of eastern European maternal ancestry. The first colony of A. m. scutellata mitotype was detected in 1993. Between 1995 and 1996 there was a mitotype turnover in the populati...
Landscape metrics have been widely developed over the last two decades, although the question remains: How does landscape metrics relates with ecological processes? One of the major recent developments in landscape metrics analysis was the third dimension integration. Topography has an extremely important role on ecosystems function and structure, even though the common analysis in landscape ecology only conceives planimetric surface which leads to some erroneous results, particularly in mountain areas. The analytical process tested patch, class and landscape metrics behavior in 11 sample areas of 100 sqkm each in several topographical conditions of Central Alentejo. It is presented the significance analysis of the results achieved in planimetric and 3D environments.
The aim of the GEOME project is to develop a WebGIS-based platform for the integrated analysis of environmental, ecological and molecular data through the implementation of an original set of combined databases, spatial analysis and population genetics tools, in a High Performance Computing context. GEOME will support tasks of landscape ecologists and resource conservation managers who increasingly have to use geo-referenced data but are not trained to efficiently use Geographical Information Systems together with appropriate geoenvironmental information and spatial analysis approaches. Preliminary developments (three first applications) are already available here: http://lasigpc8.epfl.ch/geome/
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