Evidence map›Paper›PMID 32210523›Full record

ArticleBehavioral ecology : official journal of the International Society for Behavioral Ecology

Hierarchically embedded interaction networks represent a missing link in the study of behavioral and community ecology.

P O Montiglio, K M Gotanda, C F Kratochwil, K L Laskowski, D R Farine

Abstract read
In one paragraph

Article in Behavioral ecology : official journal of the International Society for Behavioral Ecology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

P O MontiglioDépartement des Sciences Biologiques, Université du Québec à Montréal, Succursale Centre-ville, Montréal, Québec, Canada.ORCID 0000-0001-5602-259X
K M GotandaDepartment of Zoology, University of Cambridge, Cambridge, UK.
C F KratochwilChair in Zoology and Evolutionary Biology, Department of Biology, University of Konstanz, Konstanz, Germany.ORCID 0000-0002-5646-3114
K L LaskowskiDepartment of Biology, & Ecology of Fishes, Leibniz-Institute of Freshwater Ecology & Inland Fisheries, Berlin, Germany.ORCID 0000-0003-1523-9340
D R FarineDepartment of Collective Behavior, Max Planck Institute of Animal Behavior, Universitätsstraße 10, Konstanz, Germany.ORCID 0000-0003-2208-7613

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because genes and phenotypes are embedded within individuals, and individuals within populations, interactions within one level of biological organization are inherently linked to interactors at others. Here, we expand the network paradigm to consider that nodes can be embedded within other nodes, and connections (edges) between nodes at one level of organization form "bridges" for connections between nodes embedded within them. Such hierarchically embedded networks highlight two central properties of biological systems: 1) processes occurring across multiple levels of organization shape connections among biological units at any given level of organization and 2) ecological effects occurring at a given level of organization can propagate up or down to additional levels. Explicitly considering the embedded structure of evolutionary and ecological networks can capture otherwise hidden feedbacks and generate new insights into key biological phenomena, ultimately promoting a broader understanding of interactions in evolutionary theory.

Indexed as

biological interactionseco-evolutionary processesgene–phenotype interactionsmultilayer networksnested networks

Identifiers

PMID32210523
PMCPMC7083094

What OpenQuestion holds

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LicenceCC BY
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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.