Comparative efficacy of eDNA and conventional methods for monitoring wetland anuran communities

Autor: Madison Wikston, Brie-Anne A. Breton, Sibelle Torres Vilaça, Amanda M. Bennett, Christopher J. Kyle, David V. Beresford, David Lesbarrères, Chris C. Wilson, David M. Green, Marie-Josée Fortin, Dennis L. Murray
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Frontiers in Ecology and Evolution, Vol 11 (2023)
Druh dokumentu: article
ISSN: 2296-701X
DOI: 10.3389/fevo.2023.1179158
Popis: Documenting biodiversity, species occurrence, and species status require reliable monitoring techniques, but the complex life history and cryptic behavior of many anurans create challenges for conventional monitoring approaches. Environmental DNA (eDNA) surveys are a promising alternative (or complement) to conventional anuran monitoring, but their relative success has not been fully tested. We assessed the comparative efficacy of targeted eDNA detection via quantitative PCR (qPCR) and three conventional amphibian survey methods (visual encounter, breeding call, and larval dipnet surveys) for detecting nine anuran species in natural wetlands in southern Ontario, Canada. Our analyses revealed that all assessment methods yielded imperfect detection, with visual encounter and eDNA surveys detecting the greatest species richness and eDNA surveys requiring the fewest sampling events. Amphibian community composition results differed among survey methods and sampling events, and detection efficacy was markedly variable, with some species requiring two to three methods to maximize detection success. Notably, two relatively terrestrial species (Anaxyrus americanus and Hyla versicolor) had relatively low and seasonally variable eDNA detection rates, suggesting that species-specific ecology likely affects eDNA presence or detection. These findings suggest that optimized monitoring for complex anuran communities may require application of multiple monitoring methods, which may need to be tailored to individual target species or communities.
Databáze: Directory of Open Access Journals