2022
DOI: 10.1016/j.ecolind.2021.108508
|View full text |Cite
|
Sign up to set email alerts
|

Implications of taxonomic and numerical resolution on DNA metabarcoding-based inference of benthic macroinvertebrate responses to river restoration

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2022
2022
2025
2025

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 7 publications
(4 citation statements)
references
References 70 publications
0
4
0
Order By: Relevance
“…However, quantitative data require detailed work and are susceptible to being influenced by the dominant species. In contrast, qualitative data only consider the presence or absence of species, and cannot be interfered by the dominant species, while being able to work better for rare and diagnostic species (Serrana et al, 2022). The combination of environmental factors identified by quantitative and qualitative data corresponding to taxonomic levels in the four seasons had high similarity, while the amount of explanatory environmental factors by qualitative data was lower than that explained by quantitative data in all cases.…”
Section: Analysis Of the Correlation Between Macrofaunal Assemblages ...mentioning
confidence: 88%
“…However, quantitative data require detailed work and are susceptible to being influenced by the dominant species. In contrast, qualitative data only consider the presence or absence of species, and cannot be interfered by the dominant species, while being able to work better for rare and diagnostic species (Serrana et al, 2022). The combination of environmental factors identified by quantitative and qualitative data corresponding to taxonomic levels in the four seasons had high similarity, while the amount of explanatory environmental factors by qualitative data was lower than that explained by quantitative data in all cases.…”
Section: Analysis Of the Correlation Between Macrofaunal Assemblages ...mentioning
confidence: 88%
“…Stochastic variation among counts may even reduce a user's power to discriminate ecological condition among sites (Bush et al, 2019). Despite this understanding, and a growing body of evidence to show occurrence data are sufficient and potentially more effective at detecting changes in habitat condition (Beentjes et al, 2018; Buchner et al, 2019; Serrana et al, 2022), the application of metabarcoding to support more effective biomonitoring has been hindered by practitioners and legislation demanding authorities collect abundance information (e.g., European Water Framework Directive; Leese et al, 2018). Current biomonitoring practitioners should instead ask themselves if they really need abundance data to answer simple questions based on variations in community composition.…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, we used a PCR annealing temperature of 55°C chosen after a temperature gradient PCR of each individual, which was also the optimal condition used from a previous bulk metabarcoding study on freshwater macroinvertebrate communities [ 13 ]. This temperature is relatively higher than the typical conditions, i.e., 50°C, previously used for the BF2 and BR2 fusion primers [e.g., 60 , 61 ].…”
Section: Discussionmentioning
confidence: 99%
“…The development and application of metabarcoding for biodiversity surveys have been considered a game-changer for ecological research, specifically for eukaryotic organisms [6]. Other than the taxonomic characterization of the community sample, metabarcoding data can be used to infer biodiversity indices and has been established as a robust method for environmental impact assessments of freshwater ecosystems [e.g., [9][10][11][12][13]. For these applications, biodiversity is generally quantified with taxonomic, functional, or phylogenetic diversity at the community level (i.e., interspecific diversity) [14].…”
Section: Introductionmentioning
confidence: 99%