2020
DOI: 10.1002/edn3.142
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Power and limitations of environmental DNA metabarcoding for surveying leaf litter eukaryotic communities

Abstract: Leaf litter plays an important role in ecosystem dynamics, contributing to nutrient cycling and soil fertility of forests (Vitousek & Sanford, 1986). The decomposing layers of organic matter provide unique conditions to house a plethora of organisms. Besides plants, most of the biomass and species occurring in the leaf litter are involved in organic matter turnover, as detritivore species (arthropods and annelids) and microbial decomposers (bacteria and fungi)

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Cited by 5 publications
(2 citation statements)
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“…We recovered that total and extracellular extractions were ecologically congruent for estimating overall beta diversity and showed good potential for monitoring the biodiversity of eukaryotes, especially for active and dominant taxa in terrestrial communities, such as Fungi and invertebrates. However, our results do not support the eDNA from leaf litter as a reliable tool for monitoring vertebrate species in general (Lopes et al 2021c).…”
Section: The Use Of Environmental Dna To Monitor Biodiversity and Its...contrasting
confidence: 96%
“…We recovered that total and extracellular extractions were ecologically congruent for estimating overall beta diversity and showed good potential for monitoring the biodiversity of eukaryotes, especially for active and dominant taxa in terrestrial communities, such as Fungi and invertebrates. However, our results do not support the eDNA from leaf litter as a reliable tool for monitoring vertebrate species in general (Lopes et al 2021c).…”
Section: The Use Of Environmental Dna To Monitor Biodiversity and Its...contrasting
confidence: 96%
“…Although eDNA research has increased dramatically over the last decade (Lear et al 2018), the effects of protocol choice on assessments of diversity using eDNA from soil samples are not well characterized in the published literature. Usually, studies have focused on interpreting eDNA sequencing results, and less attention has been given to investigating the effects of eDNA method selection (Table S1; Drummond et al 2015, Horton et al 2017, Lanzén et al 2017, Walker et al 2017, Sikder et al 2020, Calderón-Sanou et al 2021, Kirse et al 2021, Lopes et al 2021, Pansu et al 2021. Currently, there are a few typical methods for analysing eDNA (Table S1; Lear et al 2018).…”
Section: Introductionmentioning
confidence: 99%