Evidence map›Paper›PMID 32760547›Full record

ArticleEcology and evolution2020

Generation and application of river network analogues for use in ecology and evolution.

Luca Carraro, Enrico Bertuzzo, Emanuel A Fronhofer, Reinhard Furrer, Isabelle Gounand, Andrea Rinaldo, Florian Altermatt

Abstract read
In one paragraph

Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Landscape and environmental heterogeneity support coexistence in competitive metacommunities.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Scaling up our understanding of tipping points.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  8. Ecohydrology 2.0.Rendiconti Lincei. Scienze fisiche e naturali · 2022
    Review
  9. Article
  10. Emergent dual scaling of riverine biodiversity.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. Article
  12. Article
  13. 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

7 authors.

Luca CarraroDepartment of Aquatic Ecology Swiss Federal Institute of Aquatic Science and Technology (Eawag) Dübendorf Switzerland.ORCID https://orcid.org/0000-0002-3933-1144
Enrico BertuzzoDepartment of Environmental Sciences, Informatics and Statistics University of Venice Ca' Foscari Venice Italy.ORCID https://orcid.org/0000-0001-5872-0666
Emanuel A FronhoferISEM CNRS EPHE Université de Montpellier Montpellier France.ORCID https://orcid.org/0000-0002-2219-784X
Reinhard FurrerDepartment of Mathematics and Department of Computational Science University of Zurich Zürich Switzerland.ORCID https://orcid.org/0000-0002-6319-2332
Isabelle GounandDepartment of Aquatic Ecology Swiss Federal Institute of Aquatic Science and Technology (Eawag) Dübendorf Switzerland.ORCID https://orcid.org/0000-0002-0675-3973
Andrea RinaldoLaboratory of Ecohydrology Swiss Federal Institute of Technology in Lausanne (EPFL) Lausanne Switzerland.
Florian AltermattDepartment of Aquatic Ecology Swiss Federal Institute of Aquatic Science and Technology (Eawag) Dübendorf Switzerland.ORCID https://orcid.org/0000-0002-4831-6958

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several key processes in freshwater ecology are governed by the connectivity inherent to dendritic river networks. These have extensively been analyzed from a geomorphological and hydrological viewpoint, yet structures classically used in ecological modeling have been poorly representative of the structure of real river basins, often failing to capture well-known scaling features of natural rivers. Pioneering work identified optimal channel networks (OCNs) as spanning trees reproducing all scaling features characteristic of natural stream networks worldwide. While OCNs have been used to create landscapes for studies on metapopulations, biodiversity, and epidemiology, their generation has not been generally accessible.Given the increasing interest in dendritic riverine networks by ecologists and evolutionary biologists, we here present a method to generate OCNs and, to facilitate its application, we provide the R-package

Indexed as

biodiversitydispersalecological modelinglandscapemetacommunityoptimal channel networkriver networksspanning trees

Identifiers

PMID32760547
PMCPMC7391543

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Registered trials

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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.