Abstract
In this project, we intend to develop a unique completely non-invasive tool to detect fish species communities (and later other organisms) in aquatic systems. I will use a combination of a novel DNA detection method and the latest cutting edge technology in remote sensing called LiDAR (light detection and ranging), which can accurately map out topography even under water, whereby very accurate digital elevation models can be constructed. The combination of these tools will be useful to accurately map out connectivity and resulting species diversity in large areas with a very high resolution. The sensitive DNA detection assay will use water samples from lakes and streams by using state of the art markers (such as SNP´s and universal mtDNA markers). Therefore no fishing gear needs to be used for identifying the fish species, a few milliliters of water will be enough. Water samples for the detection of frogs have been used before, however only for one species and with very specific markers giving a presence/absence, but no multiple species. Our preliminary tests for multiple species presence have given promising results. This in combination with access to LiDAR will help us develop GIS tools with a power not used in remote sensing of waters before. I expect this framework to become necessary in ranges of future fish- and aquatic biodiversity management and research, especially invasive species surveys.