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Ryan P. Kelly

Publications and source records attributed to Ryan P. Kelly.

2 recordsLinked to original sources

Tracking Pacific salmon migrations with a prototype eDNA autosampler

Pacific salmon ( Oncorhynchus spp.) are keystone species that support commercial and recreational fisheries and play a significant role in Indigenous cultures. As a keystone species, they are commonly monitored to assess population metrics and adult and juvenile migration. Environmental DNA (eDNA) has been successfully applied to salmon monitoring, but these efforts have relied on manually collected samples which can limit temporal resolution and increase field effort. Here, we evaluated a prototype autonomous eDNA sampler for fine-scale tracking of adult salmon migrations in the Lake Washington Ship Canal (LWSC) in Washington state, USA. The autosampler was deployed approximately 3 km upstream of the Ballard Locks, where returning adult salmon are counted daily, for 4 months during the adult salmon return in 2022, and it collected eDNA samples twice daily (day and night) onto self-preserving filters. We tested eDNA samples for Chinook Salmon ( Oncorhynchus tshawytscha ), Sockeye Salmon ( O. nerka ) and Coho Salmon ( O. kisutch ) and results were compared with daily adult counts at the Ballard Locks. eDNA detection lagged visual counts by approximately 5 days for Sockeye and Coho salmon and approximately 23 days for Chinook Salmon. The extensive time lag in eDNA detection for Chinook Salmon was likely due to a thermal barrier, delaying their migration through the LWSC. We found no clear effect of day versus night sampling on eDNA detection probability. Two additional experiments were performed: one to assess eDNA degradation on used self-preserving filters stored in the autosampler and another to assess whether our 3 L system flush volume was sufficient to prevent residual eDNA from being carried over from one sample to the next. We found no apparent eDNA degradation but potential for sample-to-sample carry over at this flush volume. Our study highlights the need to consider strategic placement of the autosampler intake to optimize eDNA capture and testing of flush volumes to minimize sample-to-sample carryover. Autonomous eDNA sampling provided efficient, high-frequency, and fine-scale surveillance of salmon migrations and offers a scalable approach for a wide variety of monitoring applications.

Washington

Concentrations of environmental DNA (eDNA) reflect spawning salmon abundance at fine spatial and temporal scales

Developing fast, cost-effective assessments of wild animal abundance is an important goal for many researchers, and environmental DNA (eDNA) holds much promise for this purpose. However, the quantitative relationship between species abundance and the amount of DNA present in the environment is likely to vary substantially among taxa and with ecological context. Here, we report a strong quantitative relationship between eDNA concentration and the abundance of spawning sockeye salmon in a small stream in Alaska, USA, where we took temporally- and spatially-replicated samples during the spawning period. This high-resolution dataset suggests that (1) eDNA concentrations vary significantly day-to-day, and likely within hours, in the context of the dynamic biological event of a salmon spawning season; (2) eDNA, as detected by species-specific quantitative PCR probes, seems to be conserved over short distances (tens of meters) in running water, but degrade quickly over larger scales (ca. 1.5 km); and (3) factors other than the mere presence of live, individual fish — such as location within the stream, live/dead ratio, and water temperature — can affect the eDNA-biomass correlation in space or time. A multivariate model incorporating both biotic and abiotic variables accounted for over 75% of the eDNA variance observed, suggesting that where a system is well-characterized, it may be possible to predict species' abundance from eDNA surveys, although we underscore that species- and system-specific variables are likely to limit the generality of any given quantitative model. Nevertheless, these findings provide an important step toward quantitative applications of eDNA in conservation and management.

Alaska