Evidence map›Paper›PMID 33878925›Full record

ArticleProceedings. Biological sciences2021

From foraging trails to transport networks: how the quality-distance trade-off shapes network structure.

Valentin Lecheval, Hannah Larson, Dominic D R Burns, Samuel Ellis, Scott Powell, Matina C Donaldson-Matasci, Elva J H Robinson

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The evolution of intergroup cooperation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  6. Article
  7. From inter-group conflict to inter-group cooperation: insights from social insects.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  8. Article
  9. 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.

Valentin LechevalDepartment of Biology, University of York, UK.
Hannah LarsonDepartment of Biology, Harvey Mudd College, Claremont, CA, USA.
Dominic D R BurnsDepartment of Biology, University of York, UK.
Samuel EllisCentre for Research in Animal Behaviour, University of Exeter, UK.
Scott PowellDepartment of Biological Sciences, George Washington University, Washington, DC, USA.
Matina C Donaldson-MatasciDepartment of Biology, Harvey Mudd College, Claremont, CA, USA.
Elva J H RobinsonDepartment of Biology, University of York, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological systems are typically dependent on transportation networks for the efficient distribution of resources and information. Revealing the decentralized mechanisms underlying the generative process of these networks is key in our global understanding of their functions and is of interest to design, manage and improve human transport systems. Ants are a particularly interesting taxon to address these issues because some species build multi-sink multi-source transport networks analogous to human ones. Here, by combining empirical field data and modelling at several scales of description, we show that pre-existing mechanisms of recruitment with positive feedback involved in foraging can account for the structure of complex ant transport networks. Specifically, we find that emergent group-level properties of these empirical networks, such as robustness, efficiency and cost, can arise from models built on simple individual-level behaviour addressing a quality-distance trade-off by the means of pheromone trails. Our work represents a first step in developing a theory for the generation of effective multi-source multi-sink transport networks based on combining exploration and positive reinforcement of best sources.

Indexed as

Models, BiologicalPheromonesFeeding BehaviorHumansPheromonescollective behaviourpolydomyrecruitment mechanismsself-organization

Identifiers

PMID33878925
PMCPMC8059596

What OpenQuestion holds

Textmetadata
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.