ArticlePeerJ2023
Assessing the breeding phenology of a threatened frog species using eDNA and automatic acoustic monitoring.
Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A finely annotated dataset for the automated acoustic identification of European Orthoptera and Cicadidae.Scientific data · 2026Article
- Extirpation of Lake Sturgeon in an Ontario Lake Following Dam Construction and Watershed Diversion Confirmed by Indigenous Traditional Knowledge and Sedimentary eDNA.Ecology and evolution · 2025Article
- Advancing the environmental DNA and RNA toolkit for aquatic ecosystem monitoring and management.PeerJ · 2025Article
- A comparative study on eDNA-based detection of Siamese bat catfish (Oreoglanis siamensis) in wet and dry conditions.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Climate change has driven shifts in breeding phenology of many amphibians, causing phenological mismatches ( Methods: In this study, we designed and evaluated the performance of an environmental DNA (eDNA) droplet digital PCR (ddPCR) assay as a non-invasive tool to assess the breeding phenology of a Western Chorus Frog population ( Results: We recorded the first male calling when the focal marsh was still largely frozen. Chorus frog eDNA was detected on April 6 Conclusions: 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.
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