Evidence map›Paper›PMID 32658919›Full record

ArticlePloS one2020

Loss of pollinator specialization revealed by historical opportunistic data: Insights from network-based analysis.

Floriane Jacquemin, Cyrille Violle, François Munoz, Grégory Mahy, Pierre Rasmont, Stuart P M Roberts, Sarah Vray, Marc Dufrêne

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 24 citations in OpenAlex.

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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

8 authors at 5 institutions in 3 countries.

Floriane JacqueminBiodiversity and Landscape, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium.ORCID 0000-0003-3056-2883
Cyrille ViolleCEFE, Univ Montpellier, CNRS, EPHE, IRD, Univ Paul Valéry Montpellier 3, Montpellier, France.
François MunozLaboratoire d'Ecologie Alpine, Université Grenoble Alpes, Grenoble, France.
Grégory MahyBiodiversity and Landscape, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium.
Pierre RasmontLaboratoire de Zoologie, Université de Mons, Mons, Belgium.
Stuart P M RobertsCentre for Agri-Environmental Research, School of Agriculture, Policy and Development, University of Reading, Reading, England, United Kingdom.
Sarah VrayLaboratoire de Zoologie, Université de Mons, Mons, Belgium.ORCID 0000-0002-7385-8302
Marc DufrêneBiodiversity and Landscape, Gembloux Agro-Bio Tech, University of Liège, Gembloux, Belgium.
Centre National de la Recherche Scientifique · FRUniversity of Liège · BEUniversity of Mons · BELaboratoire d'Écologie Alpine · FRUniversity of Reading · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We are currently facing a large decline in bee populations worldwide. Who are the winners and losers? Generalist bee species, notably those able to shift their diet to new or alternative floral resources, are expected to be among the least vulnerable to environmental change. However, studies of interactions between bees and plants over large temporal and geographical scales are limited by a lack of historical records. Here, we used a unique opportunistic century-old countrywide database of bee specimens collected on plants to track changes in the plant-bee interaction network over time. In each historical period considered, and using a network-based modularity analysis, we identified some major groups of species interacting more with each other than with other species (i.e. modules). These modules were related to coherent functional groups thanks to an a posteriory trait-based analysis. We then compared over time the ecological specialization of bees in the network by computing their degree of interaction within and between modules. "True" specialist species (or peripheral species) are involved in few interactions both inside and between modules. We found a global loss of specialist species and specialist strategies. This means that bee species observed in each period tended to use more diverse floral resources from different ecological groups over time, highly specialist species tending to enter/leave the network. Considering the role and functional traits of species in the network, combined with a long-term time series, provides a new perspective for the study of species specialization.

Indexed as

BiodiversityModels, StatisticalPollinationAnimalsBeesBehavior, AnimalMagnoliopsida

Identifiers

PMID32658919
PMCPMC7357768
OpenAlexW3042056333

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.