The 2019/20 Australian megafires impacted numerous species, including six of the seven montane frog species from the genus Philoria, which are restricted to the top of mountain habitats across eastern Australian Gondwana Rainforest. Using single nucleotide polymorphisms, we examined the population structure and genetic diversity of the six Philoria species to inform conservation management and assess their capacity for post-fire recovery. Narrow-range species were confirmed as a single population for management purposes, while P. kundagungan, P. loveridgei, and P. sphagnicolus exhibit marked genetic differentiation between populations, indicating strong allopatric differentiation among populations isolated on separate mountaintops, suggesting limited natural dispersal ability. We further identify high-value genetic populations in these structured species. Populations that were heavily impacted by the fires, such as P. pughi and P. knowlesi, may face longer-term threats due to potential declines in adaptive capacity. We recommend prioritising in situ management, genetic rescue, and translocation efforts to bolster resilience in isolated populations. Updated conservation planning and targeted fire buffer management are crucial for the survival of these ancient, regionally endemic frogs in a rapidly changing climate.
Details
Title
Population genomics of rainforest mountain frogs (Anura: Limnodynastidae: Philoria) severely impacted by the Australian megafires
Creators
Shengyao Lin - The University of Western Australia
David Newell - Southern Cross University
Nicola J. Mitchell - The University of Western Australia
Stephen C. Donnellan - South Australian Museum
Michael Mahony - University of Newcastle Australia
Liam J. Bolitho - Southern Cross University
Renee A. Catullo - The University of Western Australia
Publication Details
Conservation genetics, Vol.First online, pp.1-14
Publisher
Springer Nature
Number of pages
14
Grant note
NESP Threatened Species Recovery Hub Project
Australian National University Ecogenomics and Bioinformatics Lab
Rhiannon Schembri
8.3.3 / University of Western Australia