Abstract
The bogong moth, Agrotis infusa, is critically important for the function of the Australian alpine ecological community. However, anecdotal rapid variability in census size appear to be directly related to climate fluctuations, with long periods of drought in their winter breeding areas leading to large declines in migrating adults. These fluctuations are compounded by basic knowledge gaps regarding their genetic structure and dispersal mechanisms between winter breeding sites and alpine aestivation areas, which hinders conservation efforts and has impacts on threatened animal species that rely upon them. We use thousands of single nucleotide polymorphisms (SNPs) across 349 adult samples collected from 19 locations in southeastern Australia to determine genetic diversity and population structure. We then model wind patterns to determine if prevailing winds can explain measured genetic diversity and how long migrations might take to reach their aestivation sites and return to breeding grounds. We find that the moths have high levels of genetic diversity reflecting a large effective population size and that there is no significant population structuring (e.g., panmixia). The wind modelling indicates that wind patterns could explain random migratory patterns that lead to the observed panmixia, and that adult moths can migrate to, and from, alpine areas in as little as a single night from their winter breeding areas. Taking these data together, we suggest that conservation strategies need to occur range-wide and, in particular, protect breeding sites from land-use change in order to maintain moth migration rates that support the alpine ecosystem each year.
| Original language | English |
|---|---|
| Article number | 110993 |
| Number of pages | 11 |
| Journal | Biological Conservation |
| Volume | 302 |
| DOIs | |
| Publication status | Published - Feb 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
Keywords
- Conservation genetics
- Gene flow
- Genetic diversity
- Population structure
- Wind modelling
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