Abstract
Dispersal is a key process for population persistence, particularly in fragmented landscapes. Connectivity between habitat fragments can be easily estimated by quantifying gene flow among subpopulations. However, the focus in ecological research has been on endangered species, typically excluding species that are not of current conservation concern. Consequently, our current understanding of the behaviour and persistence of many species is incomplete. A case in point is the eastern grey kangaroo (Macropus giganteus), an Australian herbivore that is subjected to considerable harvesting and population control efforts. In this study, we used non-invasive genetic sampling of eastern grey kangaroos within and outside of the Mourachan Conservation Property to assess functional connectivity. In total, we genotyped 232 samples collected from 17 locations at 20 microsatellite loci. The clustering algorithm indicated the presence of two clusters, with some overlap between the groups within and outside of the reserve. This genetic assessment should be repeated in 10–15 years to observe changes in population structure and gene flow over time, monitoring the potential impact of the planned exclusion fencing around the reserve.
Highlights
Habitat fragmentation due to land use change or exclusion fencing, or both, is a significant threat to biodiversity [1,2]
The clustering algorithm indicated the presence of two clusters, with some overlap between the groups within and outside of the reserve. This genetic assessment should be repeated in 10–15 years to observe changes in population structure and gene flow over time, monitoring the potential impact of the planned exclusion fencing around the reserve
The study was timed to coincide with the establishment of exclusion fencing around most of the property
Summary
Habitat fragmentation due to land use change or exclusion fencing, or both, is a significant threat to biodiversity [1,2]. Most of our knowledge about the movement of animals comes from observational data (these are often sparse and might provide poor estimates of population status and dynamics [5]), or else, from tracking technologies that require the capture of individuals and the process of fitting them with devices [6,7]. The genetic diversity among groups can be used to detect relatedness, population structure, inbreeding, and effective population size [11,12]. Estimation of these demographic parameters is important for the design and evaluation of conservation measures [13]
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