Evidence map›Paper›PMID 32808427›Full record

ArticleEcology letters2020

Biodiversity loss underlies the dilution effect of biodiversity.

Fletcher W Halliday, Jason R Rohr, Anna-Liisa Laine

Abstract 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 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
–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

51 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Pathogens and planetary change.Nature reviews. Biodiversity · 2025
    Article
  18. Towards a 'people and nature' paradigm for biodiversity and infectious disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
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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

3 authors.

Fletcher W HallidayDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, 8057, Switzerland.ORCID https://orcid.org/0000-0003-3953-0861
Jason R RohrDepartment of Biological Sciences, Eck Institute of Global Health, Environmental Change Initiative, University of Notre Dame, Notre Dame, IN, USA.ORCID https://orcid.org/0000-0001-8285-4912
Anna-Liisa LaineDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, 8057, Switzerland.ORCID https://orcid.org/0000-0002-0703-5850

Funding

Academy of Finland 296686European Research CouncilH2020 European Research Council 724508
6 · The paper itself

Abstract

The dilution effect predicts increasing biodiversity to reduce the risk of infection, but the generality of this effect remains unresolved. Because biodiversity loss generates predictable changes in host community competence, we hypothesised that biodiversity loss might drive the dilution effect. We tested this hypothesis by reanalysing four previously published meta-analyses that came to contradictory conclusions regarding generality of the dilution effect. In the context of biodiversity loss, our analyses revealed a unifying pattern: dilution effects were inconsistently observed for natural biodiversity gradients, but were commonly observed for biodiversity gradients generated by disturbances causing losses of biodiversity. Incorporating biodiversity loss into tests of generality of the dilution effect further indicated that scale-dependency may strengthen the dilution effect only when biodiversity gradients are driven by biodiversity loss. Together, these results help to resolve one of the most contentious issues in disease ecology: the generality of the dilution effect.

Indexed as

BiodiversityEcologyMeta-Analysis as Topicbiodiversitycommunity structuredilution effectparasitism

Identifiers

PMID32808427
PMCPMC7693066

What OpenQuestion holds

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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.