Evidence map›Paper›PMID 38705183›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2024

Measuring the state of aquatic environments using eDNA-upscaling spatial resolution of biotic indices.

Rosetta C Blackman, Luca Carraro, François Keck, Florian Altermatt

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Towards a toolkit for global insect biodiversity monitoring.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  10. Measuring the state of aquatic environments using eDNA-upscaling spatial resolution of biotic indices.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Rosetta C BlackmanDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstr. 190, Zürich 8057, Switzerland.ORCID 0000-0002-6182-8691
Luca CarraroDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstr. 190, Zürich 8057, Switzerland.
François KeckDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstr. 190, Zürich 8057, Switzerland.
Florian AltermattDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstr. 190, Zürich 8057, Switzerland.

Funding

Swiss National Science FoundationUniversity Research Priority Programme Global Change and Biodiversity
6 · The paper itself

Abstract

Aquatic macroinvertebrates, including many aquatic insect orders, are a diverse and ecologically relevant organismal group yet they are strongly affected by anthropogenic activities. As many of these taxa are highly sensitive to environmental change, they offer a particularly good early warning system for human-induced change, thus leading to their intense monitoring. In aquatic ecosystems there is a plethora of biotic monitoring or biomonitoring approaches, with more than 300 assessment methods reported for freshwater taxa alone. Ultimately, monitoring of aquatic macroinvertebrates is used to calculate ecological indices describing the state of aquatic systems. Many of the methods and indices used are not only hard to compare, but especially difficult to scale in time and space. Novel DNA-based approaches to measure the state and change of aquatic environments now offer unprecedented opportunities, also for possible integration towards commonly applicable indices. Here, we first give a perspective on DNA-based approaches in the monitoring of aquatic organisms, with a focus on aquatic insects, and how to move beyond traditional point-based biotic indices. Second, we demonstrate a proof-of-concept for spatially upscaling ecological indices based on environmental DNA, demonstrating how integration of these novel molecular approaches with hydrological models allows an accurate evaluation at the catchment scale. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.

Indexed as

Aquatic OrganismsDNA, EnvironmentalInsectaAnimalsBiodiversityBiological MonitoringEcosystemEnvironmental MonitoringDNA, EnvironmentalbiomonitoringeDNAhydrological modelmacroinvertebrates

Identifiers

PMID38705183
PMCPMC11070250

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.