Abstract

ABSTRACT Conserving evolutionary processes is becoming increasingly important in conservation management as environmental changes continue to threaten wild populations. Characterising genetically distinct populations and assessing connectivity across the landscape enables wildlife managers to prioritise conservation efforts with limited resources. In the NSW North Coast bioregion of Australia, one of the last remaining coastal populations of the Emu (Dromaius novaehollandiae) has been state-listed as an Endangered Population, owing to its geographic isolation and small census size. Using mitochondrial and nuclear genetic markers, we examined the spatial genetic structure and diversity of Emus across south-eastern Australia. For the NSW North Coast population, we estimated the effective population size () and carried out simulations to predict future levels of genetic variation. We show significant genetic divergence between the NSW North Coast Emu and other localities based on thousands of highly resolving nuclear markers. Among NSW North Coast Emus, we found less genetic diversity and a critically low-effective population size ( = 14.84 and 22.49 based on independent methods). Our simulations predict that the of the NSW North Coast Emu population is insufficient to maintain genetic diversity and the population may be at risk of inbreeding depression. Incorporating genetic data into the design of captive-release and translocation projects would refine management plans for this locally important population and monitor risks to its long-term survival.

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