Evidence map›Paper›PMID 35322190›Full record

ArticleCommunications biology2022

Spatio-temporal patterns of multi-trophic biodiversity and food-web characteristics uncovered across a river catchment using environmental DNA.

Rosetta C Blackman, Hsi-Cheng Ho, Jean-Claude Walser, Florian Altermatt

Abstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  4. Review
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  9. 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
  10. Article
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  12. Review
  13. Ecology and evolution · 2023
    Article
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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 BlackmanEawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Aquatic Ecology, Überlandstrasse 133, CH-8600, Dübendorf, Switzerland. rosiecblackman@gmail.com.ORCID 0000-0002-6182-8691
Hsi-Cheng HoEawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Aquatic Ecology, Überlandstrasse 133, CH-8600, Dübendorf, Switzerland.
Jean-Claude WalserGenetic Diversity Centre (GDC), Department of Environmental Systems Sciences (D-USYS), Federal Institute of Technology (ETH), Rämistrasse 101, 8092, Zurich, Switzerland.
Florian AltermattEawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Aquatic Ecology, Überlandstrasse 133, CH-8600, Dübendorf, Switzerland. florian.altermatt@eawag.ch.ORCID 0000-0002-4831-6958

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate characterisation of ecological communities with respect to their biodiversity and food-web structure is essential for conservation. However, combined empirical study of biodiversity and multi-trophic food webs at a large spatial and temporal resolution has been prohibited by the lack of appropriate access to such data from natural systems. Here, we assessed biodiversity and food-web characteristics across a 700 km

Indexed as

DNA, EnvironmentalFood ChainAnimalsBiodiversityEcosystemRiversDNA, Environmental

Identifiers

PMID35322190
PMCPMC8943070

What OpenQuestion holds

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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.