Evidence map›Paper›PMID 31884729›Full record

ArticleEcology letters2020

The evolution of eusociality: no risk-return tradeoff but the ecology matters.

Jeremy Field, Hiroshi Toyoizumi

Open access · hybridAbstract readLetter
In one paragraph

Article in Ecology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 7% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Role specialization and reproductive division of labour at the origin of eusociality.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  4. Article
  5. Review
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

2 authors at 2 institutions in 2 countries.

Jeremy FieldCentre for Ecology and Conservation, University of Exeter, Penryn Campus, Cornwall, TR10 9EZ, UK.ORCID https://orcid.org/0000-0003-0663-4031
Hiroshi ToyoizumiGraduate School of Accounting and Department of Applied Mathematics, Waseda University, Nishi-waseda 1-6-1, Shinjuku, Tokyo, 169-8050, Japan.ORCID https://orcid.org/0000-0002-0209-5205
University of Exeter · GBWaseda University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The origin of eusociality in the Hymenoptera is a question of major interest. Theory has tended to focus on genetic relatedness, but ecology can be just as important a determinant of whether eusociality evolves. Using the model of Fu et al. (2015), we show how ecological assumptions critically affect the conclusions drawn. Fu et al. inferred that eusociality rarely evolves because it faces a fundamental 'risk-return tradeoff'. The intuitive logic was that worker production represents an opportunity cost because it delays realising a reproductive payoff. However, making empirically justified assumptions that (1) workers take over egg-laying following queen death and (2) productivity increases gradually with each additional worker, we find that the risk-return tradeoff disappears. We then survey Hymenoptera with more specialised morphological castes, and show how the interaction between two common features of eusociality - saturating birth rates and group size-dependent helping decisions - can determine whether eusociality outperforms other strategies.

Indexed as

Biological EvolutionHymenopteraAnimalsEcologySelection, GeneticSocial BehaviorBeesbet-hedgingeusocialityHamilton's RuleHymenopterainheritancesocial behavioursocial evolutionwasps

Identifiers

PMID31884729
PMCPMC7027560
OpenAlexW2998006238

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.