Evidence map›Paper›PMID 38638368›Full record

ArticleEcology and evolution2024

Is the diet cyclic phase-dependent in boreal vole populations?

Magne Neby, Rolf A Ims, Stefaniya Kamenova, Olivier Devineau, Eeva M Soininen

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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.

  1. 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

5 authors.

Magne NebyDepartment of Applied Ecology Inland Norway University of Applied Sciences Koppang Norway.ORCID https://orcid.org/0000-0003-2098-7650
Rolf A ImsDepartment of Arctic and Marine Biology UiT - The Arctic University of Norway Tromsø Norway.
Stefaniya KamenovaDepartment of Biosciences, Centre for Ecological and Evolutionary Synthesis University of Oslo Oslo Norway.ORCID https://orcid.org/0000-0002-7241-0506
Olivier DevineauDepartment of Applied Ecology Inland Norway University of Applied Sciences Koppang Norway.ORCID https://orcid.org/0000-0002-7625-2816
Eeva M SoininenDepartment of Arctic and Marine Biology UiT - The Arctic University of Norway Tromsø Norway.ORCID https://orcid.org/0000-0003-4280-8350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herbivorous rodents in boreal, alpine and arctic ecosystems are renowned for their multi-annual population cycles. Researchers have hypothesised that these cycles may result from herbivore-plant interactions in various ways. For instance, if the biomass of preferred food plants is reduced after a peak phase of a cycle, rodent diets can be expected to become dominated by less preferred food plants, leading the population to a crash. It could also be expected that the taxonomic diversity of rodent diets increases from the peak to the crash phase of a cycle. The present study is the first to use DNA metabarcoding to quantify the diets of two functionally important boreal rodent species (bank vole and tundra vole) to assess whether their diet changed systematically in the expected cyclic phase-dependent manner. We found the taxonomic diet spectrum broad in both vole species but with little interspecific overlap. There was no evidence of systematic shifts in diet diversity metrics between the phases of the population cycle in either species. While both species' diet composition changed moderately between cycle phases and seasons, these changes were small compared to other sources of diet variation-especially differences between individuals. Thus, the variation in diet that could be attributed to cyclic phases is marginal relative to the overall diet flexibility. Based on general consumer-resource theory, we suggest that the broad diets with little interspecific overlap render it unlikely that herbivore-plant interactions generate their synchronous population cycles. We propose that determining dietary niche width should be the first step in scientific inquiries about the role of herbivore-plant interactions in cyclic vole populations.

Indexed as

density dependenceDNA metabarcodingherbivorepopulation cyclesrodent

Identifiers

PMID38638368
PMCPMC11024456

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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.