Abstract
Invasive macrophytes can have a variety of effects on aquatic ecosystems. The early detection and abundance estimation of an invasive species is important to effectively control it and minimize the ecosystem impacts. It is imperative to develop more efficient sampling methods for the abundance quantification of aquatic plants in large riverine systems. We examined (1) relationships between the environmental DNA (eDNA) concentrations of the invasive macrophyte, Egeria densa, and the upstream coverage area on the multiple life-history stages (dormant, growing, and senescence seasons) in a large riverine system in Japan and (2) if the relationships between the eDNA concentrations and coverage area could vary with the lateral sampling locations (left bank, middle, and right bank). The eDNA concentrations had significant positive relationships with the upstream coverage area of E. densa at multiple spatial scales for the dormant and senescence seasons. These results suggest that the eDNA analysis could be useful to quantify the relative abundance of this aquatic macrophyte in the riverine system; however, the selection of the eDNA sampling season could be important to accurately estimate abundance. Our results also showed that the eDNA concentrations of E. densa did not significantly differ from the lateral sampling location, suggesting that the eDNA samples could reflect the relative abundance of E. densa upstream of the study sites regardless of the lateral sampling location.
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Acknowledgements
This research was supported by Chugoku Regional Development Bureau of the Ministry of Land, Infrastructure, Transport and Tourism. We thank I. Suga for help with the field sampling and laboratory work. We thank C. Taylor for checking the English in the manuscript and two anonymous reviewers for their thoughtful comments that greatly improve the study. The experiment reported here complied with the current laws of Japan.
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Kodama, T., Miyazono, S., Akamatsu, Y. et al. Abundance estimation of riverine macrophyte Egeria densa using environmental DNA: effects of sampling season and location. Limnology 23, 299–308 (2022). https://doi.org/10.1007/s10201-021-00689-5
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DOI: https://doi.org/10.1007/s10201-021-00689-5