Insights into the representativeness of biodiversity assessment in large reservoir through eDNA metabarcoding

58. Turner CR, Uy KL, Everhart RC (2015) Fish environmental DNA is more concentrated in aquatic sedi- ments than surface water. Biol Conserv 183:93–102 59. Lacoursière-Roussel A, Rosabal M, Bernatchez L (2016) Estimating fish abundance and biomass from eDNA concentrations: variability among capture methods and environmental conditions. Mol Ecol Resour 16:1401–1414 https://doi.org/10.1111/1755-0998.12522 PMID: 26946353 60. Ficetola G. F., Pansu J., Bonin A., Coissac E., Giguet-Covex C., De Barba M.,. . . et al. (2015). Replica- tion levels, false presences and the estimation of the presence/absence from eDNA metabarcoding data. Molecular ecology resources, 15(3), 543–556. https://doi.org/10.1111/1755-0998.12338 PMID: 25327646 61. Maruyama A, Nakamura K, Yamanaka H, Kondoh M, Minamoto T (2014) The Release Rate of Environ- mental DNA from Juvenile and Adult Fish. PLoS One 9:e114639 https://doi.org/10.1371/journal.pone. 0114639 PMID: 25479160 62. Carraro L, Stauffer JB, Altermatt F (2021) How to design optimal eDNA sampling strategies for biomoni- toring in river networks. Environmental DNA 3:157–172 63. Rourke ML, Fowler AM, Hughes JM, Broadhurst MK, DiBattista JD, Fielder S, et al (2022) Environmen- tal DNA (eDNA) as a tool for assessing fish biomass: A review of approaches and future considerations for resource surveys. Environmental DNA 4:9–33 64. Goutte A, Molbert N, Gue´ rin S, Richoux R, Rocher V (2020) Monitoring freshwater fish communities in large rivers using environmental DNA metabarcoding and a long-term electrofishing survey. J Fish Biol

97:444–452 https://doi.org/10.1111/jfb.14383 PMID: 32412670 65. Pont D, Rocle M, Valentini A, Civade R, Jean P, Maire A, et al (2018) Environmental DNA reveals quan- titative patterns of fish biodiversity in large rivers despite its downstream transportation. Sci Rep 8:10361 https://doi.org/10.1038/s41598-018-28424-8 PMID: 29991759 66. Sales NG, Wangensteen OS, Carvalho DC, Deiner K, Præbel K, Coscia I, et al (2021) Space-time dynamics in monitoring neotropical fish communities using eDNA metabarcoding. Science of The Total Environment 754:142096 https://doi.org/10.1016/j.scitotenv.2020.142096 PMID: 32898783 67. Hayami K, Sakata MK, Inagawa T, et al (2020) Effects of sampling seasons and locations on fish envi- ronmental DNA metabarcoding in dam reservoirs. Ecol Evol 10:5354–5367 https://doi.org/10.1002/ ece3.6279 PMID: 32607158 68. da Costa ID, de Carvalho Freitas CE (2013) Trophic ecology of the ichthyofauna of a stretch of the Urucu River (Coari, Amazonas, Brazil). Acta Limnologica Brasiliensia 25:54–67 69. Calazans AM, Martinez PA, Jacobina UP (2021) Lentic and lotic environments affect morphological diversity in characiformes fishes in the Neotropical São Francisco River Basin, Brazil. Environ Biol Fishes 104:977–987 70. Rivera SF, Vasselon V, Bouchez A, Rimet F (2023) eDNA metabarcoding from aquatic biofilms allows studying spatial and temporal fluctuations of fish communities from Lake Geneva. Environmental DNA 5:570–581 PLOS ONE eDNA metabarcoding reservoir PLOS ONE | https://doi.org/10.1371/journal.pone.0314210 January 24, 2025 22 / 22