Evidence map›Paper›PMID 32495034›Full record

ArticleOecologia2020

Flower traits associated with the visitation patterns of bees.

Logan Rowe, Daniel Gibson, Christie A Bahlai, Jason Gibbs, Douglas A Landis, Rufus Isaacs

Abstract read
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In one paragraph

Article in Oecologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Leveraging local species data, a global database, and an occupancy model to explore bee-plant interactions.Ecological applications : a publication of the Ecological Society 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

6 authors.

Logan RoweDepartment of Entomology, Michigan State University, East Lansing, MI, 48824, USA. roweloga@msu.edu.ORCID http://orcid.org/0000-0002-8517-483X
Daniel GibsonDepartment of Entomology, Michigan State University, East Lansing, MI, 48824, USA.
Christie A BahlaiDepartment of Biological Sciences, Kent State University, Kent, OH, 44242, USA.
Jason GibbsDepartment of Entomology, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada.
Douglas A LandisEcology, Evolutionary Biology, and Behavior Program, Michigan State University, 103 Giltner Hall, 293 Farm Lane, East Lansing, MI, 48824, USA.
Rufus IsaacsEcology, Evolutionary Biology, and Behavior Program, Michigan State University, 103 Giltner Hall, 293 Farm Lane, East Lansing, MI, 48824, USA.

Funding

Michigan State University GR14-011NSF-Long Term Ecological Research Program DEB 1637653USDA NC-SARE NCR13-075
6 · The paper itself

Abstract

Plant-pollinator interactions are partially driven by the expression of plant traits that signal and attract bees to the nutritional resources within flowers. Although multiple physical and chemical floral traits are known to influence the visitation patterns of bees, how distinct bee groups vary in their responses to floral traits has yet to be elucidated. In this study, we used a common garden experiment to test for morphological floral traits associated with pollen quantity at the plant species level, and examined how the visitation patterns of taxonomically and functionally distinct bee groups are related to flower trait characteristics of 39 wildflower species. We also determined how floral traits influence the structure of wild bee communities visiting plants and whether this varies among geographic localities. Our results suggest that floral area is the primary morphological floral trait related to bee visitation of several distinct bee groups, but that wild bee families and functionally distinct bee groups have unique responses to floral trait expression. The composition of the wild bee communities visiting different plants was most strongly associated with variability in floral area, flower height, and the quantity of pollen retained in flowers. Our results inform wildflower habitat management for bees by demonstrating that the visitation patterns of distinct bee taxa can be predicted by floral traits, and highlight that variability in these traits should be considered when selecting plants to support pollinators.

Indexed as

FlowersPollinationAnimalsBeesPhenotypePlantsPollenBeesConservationFlowersPlant–insect interactionsTraits

Identifiers

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.