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Novel Drop‐Sampler for Simultaneous Collection of Stereo‐Video, Environmental DNA and Oceanographic Data

Authors :
Samuel Thompson
Simon Jarman
Kingsley Griffin
Claude Spencer
Gabrielle Cummins
Julian Partridge
Tim Langlois
Source :
Ecology and Evolution, Vol 14, Iss 12, Pp n/a-n/a (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

ABSTRACT There is an increasing interest in environmental DNA (eDNA) as a method to survey marine biota, enhancing traditional survey methods, and a need to ground truth eDNA‐based interpretations with visual surveys to understand biases in both the eDNA and visual datasets. We designed and tested a rapidly deployable, robust method pairing water sampling for eDNA collection and stereo‐video imagery, comparing inferred fish assemblages with interspersed baited remote underwater video (stereo‐BRUV) samples. The system is capable of rapidly collecting simultaneous wide‐field stereo‐video imagery, oceanographic measurements and multiple water samples across a range of habitats and depths (up to 600 m). A platform demonstration was conducted in a no‐take National Park Zone of the Ningaloo Marine Park, Western Australia, with samples being collected whilst the system is resting on the seafloor. Combining simultaneous visual survey data with eDNA species estimates increased the total diversity of the fish assemblage by ca. 6.5% over eDNA estimates alone, whilst the analysis of the assemblage composition sampled by each method revealed significant differences. The platform demonstration highlights the biases of each sampling method and their complementarity to one another. We suggest that these biases will be better understood by advancements that allow eDNA metabarcoding to discriminate the abundance and life stage of marine biota. Furthermore, investigation of the relationship between eDNA metabarcoding data and concomitant imagery‐derived length, age and habitat data is needed.

Details

Language :
English
ISSN :
20457758
Volume :
14
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Ecology and Evolution
Publication Type :
Academic Journal
Accession number :
edsdoj.193d012f7f3145e19d450955b8582cf2
Document Type :
article
Full Text :
https://doi.org/10.1002/ece3.70705