Nectar sugar concentration contributes to structuring bumblebee and plant interactions

Abstract Understanding the biology of floral traits underlying plant‐pollinator relationships in a community context is important to predict the occurrence and frequency of pairwise mutualistic interactions. Flower nectar is a sugar‐rich solution that is key in plant–pollinator interactions. Nectar sugar concentration directly determines viscosity, regulating nectar ingestion rates by pollinators and, together with nectar volume, shapes foraging decisions. Furthermore, the link between nectar ingestion efficiency and sugar concentration in bee pollinators is mediated by their proboscis length and the spatial positioning of nectar within flowers. We therefore hypothesize that nectar concentration can be related to the structure of bee–flower interactions in a community. We tested the hypothesis in a species‐rich alpine meadow in the Hengduan Mountains, China, a global biodiversity hotspot. The study meadow sustains an extremely diverse bumblebee community. We constructed the bee–flower network in the 2020 flowering season. Visitation frequency of the bumblebees to each flowering plant was recorded while nectar sugar concentration and initial volume of those plants were quantified in addition to other pollination‐related floral traits. We conducted phylogenetically comprehensive analyses to assess factors influencing the network structure, bees' visitation frequency and flower preference, and to detect the correlations of bees' proboscis length with nectar sugar concentration and corolla tube length and the relationships among the pollination‐related floral traits. Modularity analysis indicated that the community bee–flower network was structured by nectar sugar concentration and corolla tube length, which was associated with bees' proboscis length. However, the overall bees' visitation frequency to flowers was correlated to nectar sugar concentration but not to corolla tube length. Flowers visited by long‐proboscid bee species had comparatively dilute nectar. Moreover, the bumblebees' flower preferences were positively influenced by floral abundance. Additionally, variation in nectar sugar concentration was linked with pollination‐related floral traits and pollinator composition, suggesting a diversity of pollination strategies among the plants in the community. Synthesis : To our knowledge, this is the first field investigation uncovering how bee‐flower interactions and nectar sugar concentration are linked at the community level, which broadens the niche dimensions for resource partitioning among co‐occurring species and thus fosters biodiversity.

Authors

Institutions

Publication Details

Journal
Journal of Ecology
Published
2025-08-08
DOI
https://doi.org/10.1111/1365-2745.70136
Citations
1
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
3.03

Funders

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

Nectar sugar concentration contributes to structuring bumblebee and plant interactions

Chun‐Feng Yang, David W. Inouye, Han‐Ning Lun
1 citations
Journal of Ecology
Plant and animal studies
3.03
article

Nectar sugar concentration contributes to structuring bumblebee and plant interactions

Chun‐Feng Yang, David W. Inouye, Han‐Ning Lun
article en
1 citations

Abstract

Abstract Understanding the biology of floral traits underlying plant‐pollinator relationships in a community context is important to predict the occurrence and frequency of pairwise mutualistic interactions. Flower nectar is a sugar‐rich solution that is key in plant–pollinator interactions. Nectar sugar concentration directly determines viscosity, regulating nectar ingestion rates by pollinators and, together with nectar volume, shapes foraging decisions. Furthermore, the link between nectar ingestion efficiency and sugar concentration in bee pollinators is mediated by their proboscis length and the spatial positioning of nectar within flowers. We therefore hypothesize that nectar concentration can be related to the structure of bee–flower interactions in a community. We tested the hypothesis in a species‐rich alpine meadow in the Hengduan Mountains, China, a global biodiversity hotspot. The study meadow sustains an extremely diverse bumblebee community. We constructed the bee–flower network in the 2020 flowering season. Visitation frequency of the bumblebees to each flowering plant was recorded while nectar sugar concentration and initial volume of those plants were quantified in addition to other pollination‐related floral traits. We conducted phylogenetically comprehensive analyses to assess factors influencing the network structure, bees' visitation frequency and flower preference, and to detect the correlations of bees' proboscis length with nectar sugar concentration and corolla tube length and the relationships among the pollination‐related floral traits. Modularity analysis indicated that the community bee–flower network was structured by nectar sugar concentration and corolla tube length, which was associated with bees' proboscis length. However, the overall bees' visitation frequency to flowers was correlated to nectar sugar concentration but not to corolla tube length. Flowers visited by long‐proboscid bee species had comparatively dilute nectar. Moreover, the bumblebees' flower preferences were positively influenced by floral abundance. Additionally, variation in nectar sugar concentration was linked with pollination‐related floral traits and pollinator composition, suggesting a diversity of pollination strategies among the plants in the community. Synthesis : To our knowledge, this is the first field investigation uncovering how bee‐flower interactions and nectar sugar concentration are linked at the community level, which broadens the niche dimensions for resource partitioning among co‐occurring species and thus fosters biodiversity.

Journal of EcologyVol. 113(10)
Chinese Academy of Sciences (CN), Rocky Mountain Biological Laboratory (US), Wuhan Botanical Garden (CN), University of Chinese Academy of Sciences (CN), University of Maryland, College Park (US)
National Natural Science Foundation of China
Life in Land
Openalex Percentile: Top 9%
Plant and animal studies
3.03
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.