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Assessing the breeding phenology of a threatened frog species using eDNA and automatic acoustic monitoring.

Ying ChenOrianne TournayreHaolun TianStephen C Lougheed
Published in: PeerJ (2023)
Altogether, our results showed that eDNA ddPCR signals lagged behind male chorusing by a few days; thus, acoustic monitoring is preferable if the desire is to document the onset of male chorusing. However, eDNA may be an effective, non-invasive monitoring tool for amphibians that do not call and may provide a useful complement to automated acoustic recording. We found inhibition patterns were heterogeneous across time and space and we demonstrate that an internal positive control should always be included to assess inhibition for eDNA ddPCR signal interpretations.
Keyphrases
  • deep learning
  • machine learning
  • high throughput