2022
DOI: 10.1002/edn3.301
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Using quantitative eDNA analyses to accurately estimate American bullfrog abundance and to evaluate management efficacy

Abstract: Biological invasions contribute now more than ever to the global homogenization of fauna and flora. Large‐scale monitoring programs are, therefore, needed to detect incipient invasions and to evaluate management interventions. As conventional monitoring methods are constrained by large costs, environmental DNA (eDNA)‐based methods are increasingly recognized as valuable monitoring tools. However, accurately estimating species abundance from eDNA concentrations in natural systems remains challenging and consequ… Show more

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Cited by 12 publications
(15 citation statements)
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“…In natural systems, however, such patterns are often exposed to substantial variation resulting from interaction effects with several abiotic factors, such as discharge rate or water volume of the system under study (Rourke et al, 2021;Tillotson et al, 2018). The inclusion of those parameters in prediction models is therefore expected to generate more reliable quantitative eDNA data that better predict the spatial and temporal behavior of aquatic species within and among river systems in the future (Everts et al, 2022;Wilcox et al, 2016;Yates et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
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“…In natural systems, however, such patterns are often exposed to substantial variation resulting from interaction effects with several abiotic factors, such as discharge rate or water volume of the system under study (Rourke et al, 2021;Tillotson et al, 2018). The inclusion of those parameters in prediction models is therefore expected to generate more reliable quantitative eDNA data that better predict the spatial and temporal behavior of aquatic species within and among river systems in the future (Everts et al, 2022;Wilcox et al, 2016;Yates et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…In natural systems, however, such patterns are often exposed to substantial variation resulting from interaction effects with several abiotic factors, such as discharge rate or water volume of the system under study (Rourke et al, 2021; Tillotson et al, 2018). The inclusion of those parameters in prediction models is therefore expected to generate more reliable quantitative eDNA data that better predict the spatial and temporal behavior of aquatic species within and among river systems in the future (Everts et al, 2022; Wilcox et al, 2016; Yates et al, 2021). Large river systems can, on the other hand, be expected to house bigger fish populations too, thereby, at least partly, overcoming dilution effects resulting from increased discharge rates, thereby affecting the quantitative eDNA‐based population estimates and interpretation.…”
Section: Discussionmentioning
confidence: 99%
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“…This AIS is listed as one of the 100 worst invasive alien species in the world. Ever since Ficetola et al (2008) developed a species-specific eDNA-based detection protocol that opened up new opportunities for the management of this nuisance species, many studies have focussed on optimizing eDNA-based methods to detect and quantify this species in aquatic environments in order to coordinate management efforts on a region scale (see Everts et al, 2021Everts et al, , 2022Lin et al, 2019). The European weather loach (weather loach hereafter), on the contrary, is a cryptic and poorly known fish, that is listed in the IUCN Red List of Threatened Species (Freyhof, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Relying on species‐specific genetic markers serving as a molecular imprint, eDNA‐based methods can reveal the presence of a focal species, even at very low densities (Smart et al, 2016; Wilcox et al, 2016). As a consequence, this approach has proven to be extremely useful for monitoring invasive (Everts et al, 2022; Goldberg et al, 2013) and endangered species (Biggs et al, 2015; Brys, Halfmaerten, et al, 2021; Mauvisseau et al, 2020), especially in aquatic ecosystems. By using thoroughly validated protocols, it is indeed possible to distinguish a single species (barcoding) or entire communities (metabarcoding) within an environmental sample.…”
Section: Introductionmentioning
confidence: 99%