2024 The Effect of Spatio‐Temporal Sampling and Biological Replication on the Detection of Kelp Forest Fish Communities Using
The Effect of Spatio‐Temporal Sampling and Biological Replication on the Detection of Kelp Forest Fish Communities Using eDNA Metabarcoding
Abstract: Environmental DNA (eDNA) metabarcoding surveys can support the acquisition of extensive biodiversity data to support ecosystem monitoring and conservation actions. However, the optimization of eDNA metabarcoding project design is essential to capture spatio‐temporal heterogeneity of eDNA signals and maximize diversity detection. In this study, we developed a system‐specific approach to detect fish communities in kelp forests, by analyzing fine‐scale spatio‐temporal patterns in eDNA signals at two sites along t…
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Cited by 9 publications
(17 citation statements)
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“…Previous studies reported the same (Sato et al 2017;Zhang et al 2020;Blabolil et al 2022;Courtaillac et al 2024). Thus, pooled samples generally have lower detection power than individual samples.…”
Section: Sampling Effort For Biodiversity Surveillance In Paddy Fieldssupporting
confidence: 62%
“…Previous studies reported the same (Sato et al 2017;Zhang et al 2020;Blabolil et al 2022;Courtaillac et al 2024). Thus, pooled samples generally have lower detection power than individual samples.…”
Section: Sampling Effort For Biodiversity Surveillance In Paddy Fieldssupporting
confidence: 62%
“…The intra-site spatiotemporal sampling design of this study was important for accounting for the ecology of eDNA, particularly its transport and persistence (Barnes and Turner 2016), enabling a more comprehensive representation of fish communities at each site. The consistent finding of significant differences in species richness and beta-diversity across intra-site predictors underscores how hierarchical spatiotemporal sampling can effectively detect fine-scale fluctuations in eDNA signals (Courtaillac et al 2024). Further, increasing the number of spatiotemporal sampling points within each site also enhanced observed richness, allowing for the accumulation of larger proportions of expected richness.…”
Section: Building a Fish Biodiversity Baseline For The Gasfmentioning
confidence: 63%
“…Autumn months (September–November) showed strong similarities, with S. scombrus (Scombridae) and G. flavescens (Gobidae) displaying high read abundance as in (Carvalho et al, 2024), suggesting that these species define late-season assemblages. Following the reanalysis of the first year sampling data, we found no clear dominant species in January 2023, but identified S. scombrus as a dominant species in January 2024 using the MiFish primer set, highlighting how extended sampling can reveal dynamic changes single-year studies might miss (Courtaillac et al, 2024; Zinger et al, 2019).…”
Section: Discussionmentioning
confidence: 93%
