Evidence map›Paper›PMID 36181545›Full record

ArticleOecologia2022

Relative contributions of parasite consumptive and non-consumptive effects to host population suppression in simulated fly-mite populations.

Collin J Horn, Darcy R Visscher, Lien T Luong

Abstract read
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In one paragraph

Article in Oecologia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 2 countries.

Collin J Horn *Department of Biological Sciences, University of Alberta, CW405 Biological Sciences Bldg., Edmonton, AB, T6G 2E9, Canada. chorn@ualberta.ca.ORCID http://orcid.org/0000-0002-6384-4193
Darcy R Visscher *Department of Biological Sciences, University of Alberta, CW405 Biological Sciences Bldg., Edmonton, AB, T6G 2E9, Canada.
Lien T LuongDepartment of Biological Sciences, University of Alberta, CW405 Biological Sciences Bldg., Edmonton, AB, T6G 2E9, Canada.
University of Alberta · CANaturalis Biodiversity Center · NL

Funding

Natural Sciences and Engineering Research Council RGPIN-2020-03910
6 · The paper itself

Abstract

The "ecology of fear" framework was developed to describe the impacts predators have on potential prey and prey populations, outside of consumption/predation (i.e. non-consumptive effects, NCEs). This framework has recently been extended to symbiotic interactions such as host-parasite associations. Although the NCEs of predators and parasites on their individual victims can be measured experimentally, it is currently not known whether parasites can exert population-level effects on potential hosts through their NCEs. Modelling can be a useful tool for scaling individual-level NCEs to populations to determine impacts on host population growth. In this study, we used previously published data on the consumptive and non-consumptive effects of an ectoparasitic mite (Macrocheles subbadius) on a fruit fly (Drosophila nigrospiracula) to simulate populations experiencing fear (NCEs only), both fear and infection (consumption + NCEs) or neither. Population-level models indicate that NCEs alone were insufficient to reduce population growth. In fact, host populations experiencing NCEs but not infection had slightly larger final populations than unexposed populations (by ~ 550 flies). This result suggests there is compensation (i.e. increased daily reproduction that overcomes shorter lifespans) among exposed flies. By contrast, the consumptive effects of parasites suppressed the growth of simulated host populations, and this deleterious impact grew non-linearly with infection prevalence.

Indexed as

MitesParasitesAnimalsDrosophilaFood ChainHost-Parasite InteractionsPredatory BehaviorCompensationEcology of fearHost–parasite interactionPopulation growthStatistical model

Identifiers

PMID36181545
OpenAlexW4298326488

What OpenQuestion holds

Textmetadata
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.