Bandwagon effects in a floral market: Early pollinator acquisition offsets colour disadvantages in less attractive flowers

Abstract Flowers with striking colours or scents are often considered to have an advantage in the competition for pollinators. However, if pollinators copy others to avoid exploration costs in changing environments, less attractive flowers may benefit from acquiring early visitors by drawing more subsequent visitors and offsetting their colour disadvantage. Previous studies provide partial support for this view, but mostly focus on pollinator behaviour at small spatial scales rather than on plant benefits in the field. To investigate whether flowers benefit from acquiring early visitors in attracting subsequent pollinator visits, we conducted a semi‐outdoor experiment in a large flight arena designed to replicate the significant information‐gathering costs encountered in field conditions. By simulating a typical scenario where bumblebees are motivated to shift from a flower species with declining resource quality to newly blooming ones, we assessed the impact of early arrivals—mimicked by dead bees placed on flowers—on subsequent pollinator attraction. When there were no early arrivals, bees showed a preference of approximately 90% for one of the two new flower colours presented. However, when early arrivals were placed in one of the patches, bees were strongly attracted to the occupied patch as well as to the one with their innately preferred colour. Notably, when their innate colour preferences and the presence of early arrivals conflicted, the two factors either cancelled each other out or the preference was even slightly stronger for early arrivals. In other words, floral attractiveness was the primary cue when no other bees were present, whereas the late arrivals gave equal weight to early visitors. This shift in bees' foraging decisions may partly reflect changes in how they sample new floral options. Our results suggest that less attractive flowers may have a similar or even higher fitness than those with attractive colouration by gaining a head start in pollinator acquisition. This effect would be especially pronounced if the presence of conspecifics triggers a snowball effect on the choices of subsequent foragers. The use of social information by pollinators may thus represent an overlooked selective force driving the evolution of early flowers, highlighting a more multifaceted and dynamic role of pollinators in this process. Read the free Plain Language Summary for this article on the Journal blog.

Authors

Institutions

Publication Details

Journal
Functional Ecology
Published
2026-02-18
DOI
https://doi.org/10.1111/1365-2435.70259
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bandwagon effects in a floral market: Early pollinator acquisition offsets colour disadvantages in less attractive flowers

Akihiro Konuma, Lina Kawaguchi, Yukihiko Toquenaga, Kazuharu Ohashi
Functional Ecology
Plant and animal studies
article

Bandwagon effects in a floral market: Early pollinator acquisition offsets colour disadvantages in less attractive flowers

Akihiro Konuma, Lina Kawaguchi, Yukihiko Toquenaga, Kazuharu Ohashi
article en

Abstract

Abstract Flowers with striking colours or scents are often considered to have an advantage in the competition for pollinators. However, if pollinators copy others to avoid exploration costs in changing environments, less attractive flowers may benefit from acquiring early visitors by drawing more subsequent visitors and offsetting their colour disadvantage. Previous studies provide partial support for this view, but mostly focus on pollinator behaviour at small spatial scales rather than on plant benefits in the field. To investigate whether flowers benefit from acquiring early visitors in attracting subsequent pollinator visits, we conducted a semi‐outdoor experiment in a large flight arena designed to replicate the significant information‐gathering costs encountered in field conditions. By simulating a typical scenario where bumblebees are motivated to shift from a flower species with declining resource quality to newly blooming ones, we assessed the impact of early arrivals—mimicked by dead bees placed on flowers—on subsequent pollinator attraction. When there were no early arrivals, bees showed a preference of approximately 90% for one of the two new flower colours presented. However, when early arrivals were placed in one of the patches, bees were strongly attracted to the occupied patch as well as to the one with their innately preferred colour. Notably, when their innate colour preferences and the presence of early arrivals conflicted, the two factors either cancelled each other out or the preference was even slightly stronger for early arrivals. In other words, floral attractiveness was the primary cue when no other bees were present, whereas the late arrivals gave equal weight to early visitors. This shift in bees' foraging decisions may partly reflect changes in how they sample new floral options. Our results suggest that less attractive flowers may have a similar or even higher fitness than those with attractive colouration by gaining a head start in pollinator acquisition. This effect would be especially pronounced if the presence of conspecifics triggers a snowball effect on the choices of subsequent foragers. The use of social information by pollinators may thus represent an overlooked selective force driving the evolution of early flowers, highlighting a more multifaceted and dynamic role of pollinators in this process. Read the free Plain Language Summary for this article on the Journal blog.

Functional Ecology
National Agriculture and Food Research Organization (JP), University of Tsukuba (JP), Kyoto University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 63%
Plant and animal studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.