Evidence map›Paper›PMID 26787076›Full record

ArticleOecologia2016

How phylogeny shapes the taxonomic and functional structure of plant-insect networks.

Sébastien Ibanez, Fabien Arène, Sébastien Lavergne

Abstract read
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In one paragraph

Article in Oecologia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Divergent dietary and defensive adaptations of closely related coexisting seed bugs.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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.

Sébastien IbanezLaboratoire d'Écologie Alpine (LECA), UMR 5553, CNRS/Université de Savoie, 73000, Chambéry, France. sebastien.ibanez@univ-savoie.fr.
Fabien ArèneLaboratoire d'Écologie Alpine (LECA), UMR 5553, CNRS/Université Grenoble Alpes, 38000, Grenoble, France.
Sébastien LavergneLaboratoire d'Écologie Alpine (LECA), UMR 5553, CNRS/Université Grenoble Alpes, 38000, Grenoble, France.

Funding

European Research Council 281422
6 · The paper itself

Abstract

Phylogenetically related species share a common evolutionary history and may therefore have similar traits. In terms of interaction networks, where traits are a major determinant, related species should therefore interact with other species which are also related. However, this prediction is challenged by current evidence that there is a weak, albeit significant, phylogenetic signal in species' taxonomic niche, i.e., the identity of interacting species. We studied mutualistic and antagonistic plant-insect interaction networks in species-rich alpine meadows and show that there is instead a very strong phylogenetic signal in species' functional niches-i.e., the mean functional traits of their interactors. This pattern emerges because related species tend to interact with species bearing certain traits that allow biotic interactions (pollination, herbivory) but not necessarily with species from all the same evolutionary lineages. Those traits define a set of potential interactors and show clear patterns of phylogenetic clustering on several portions of plants and insect phylogenies. Thus, this emerging pattern of low phylogenetic signal in taxonomic niches but high phylogenetic signal in functional niches may be driven by the interplay between functional trait convergence across plants' and insects' phylogenies and random sampling of the potential interactors.

Indexed as

EcosystemModels, BiologicalPhylogenyPlant Physiological PhenomenaAnimalsFranceHerbivoryInsectaPlantsPollinationSymbiosisFunctional nichePhylogenetic signalPlant–herbivorePlant–pollinatorTaxonomic niche

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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.