Data from: Foraging behaviour and pollination contribution of naturally occurring bumble bees in red clover
Data files
Mar 26, 2026 version files 48.11 KB
-
Absolute_abundance_2019.csv
667 B
-
Absolute_abundance_2020.csv
468 B
-
Corolla_tube.csv
1.18 KB
-
Flower_exploitation_one_bee_2020.csv
3.04 KB
-
Flower_exploitation_two_bees_2020.csv
1.50 KB
-
Flowering_intensity_2019.csv
963 B
-
Foraging_speed_2017.csv
11.70 KB
-
Foraging_speed_two_bees_2020.csv
723 B
-
README.md
7.30 KB
-
Rejection_behaviour_2020.csv
1.08 KB
-
Seed_set_2019.csv
5.80 KB
-
Stigmatic_pollen_deposition_2019.csv
13.69 KB
Abstract
Pollinators optimise their foraging behaviours in response to changes in floral rewards, which may consequently affect pollen transfer and plant reproductive success, especially in plants that require cross-pollination. In a red clover field grown for seed production, we conducted a three-year experiment to compare the foraging behaviours of naturally occurring bumble bee species and their pollination contributions. Specifically, we investigated how the visitation of a flower head by one bumble bee may affect the foraging behaviours of any second visiting bee. We also measured relative abundance, stigmatic pollen deposition, and plant traits including flowering intensity, corolla tube length, and seed set. We found that bees can identify previously visited flower heads: the second visiting bees increased their rejection probabilities with the flower exploitation rate of the first visiting bees. The second bees also had a higher foraging speed than the first visiting bees, either due to the depletion of floral rewards or the reduced pressure required to trip the florets. Among the five bumble bee species naturally occurred during the peak flowering, different bumble bees showed varied preferences for the co-flowering cultivars. At the flower head level, one visit from B. pascuorum and B. muscorum was sufficient for the seed set, similar to the seed set in the open pollination. However, B. hortorum that caused high stigmatic pollen deposition did not result in comparable high seed set, this might be related to a limited number of cross-pollen transferred, caused by the abundant floral resources during the peak flowering, or an intrinsic characteristic of this bumble bee species.
https://doi.org/10.5061/dryad.05qfttf63
Description of the data and file structure
This dataset includes the supporting data of a three-year evaluation of pollinator performance described in the manuscript ‘Foraging behaviour and pollination contribution of naturally occurring bumble bees in red clover’ published as a research paper in Basic and Applied Ecology.
Under field conditions, we conducted an experimental assessment of foraging behaviour by interviewing bees in sequence and explored the interactions between the foraging bees. For the pollination behaviour, we measured the pollination indices of relative abundance, foraging behaviour, rejection behaviour, flower exploitation rate and stigmatic pollen deposition. For the floral-related traits, we measured the corolla tube length of red clover, scored flowering intensity, and seed set.
Files and variables
File list
-
Flowering_intensity_ 2019.csv
-
Absolute_abundance_2019.csv
-
Absolute_abundance_2020.csv
-
Corolla_tube.csv
-
Foraging_speed_2017.csv
-
Rejection_behaviour_2020.csv
-
Flower_exploitation_two_bees_2020.csv
-
Flower_exploitation_one_bee_2020.csv
-
Foraging_speed_two_bees_2020.csv
-
Stigmatic_pollen_deposition_2019.csv
-
Seed_set_2019.csv
Note: Missing values are presented as ‘NA’ in the columns of datasets.
File descriptions
Flowering_intensity_2019.csv
Aim: to visualise the flowering intensity of two red clover cultivars
Column A: Date, recording dates of flowering intensity and relative abundance.
Column B: T, average temperature (°C) recorded on the experimental day.
Column C: RH, average relative humidity (%) recorded in the experimental day.
Column D: Plot, the name of plot in the field.
Column E: Suez, the score of flowering intensity of diploid cultivar ‘Suez’.
Column F: Amos, the score of flowering intensity of tetraploid cultivar ‘Amos’.
** **
Absolute_abundance_2019.csv
Aim: to calculate the relative abundance of different bee species during the flowering period in 2019.
Column A: Date, recording dates of flowering intensity and absolute abundance.
Column B to Column O: the number of flower visitor individuals per species (mean values of six plots) in ‘Suez’ and ‘Amos’, respectively.
** **
Absolute_abundance_2020.csv
Aim: to calculate the relative abundance of different bee species during the flowering period in 2020.
Column A: Date, recording dates of flowering intensity and absolute abundance.
Column B to Column O: the number of flower visitor individuals per species (mean values of six plots) in ‘Suez’ and ‘Amos’, respectively.
** **
Corolla_tube.csv
Aim: to compare the corolla tube lengths in two red clover cultivars.
Column A: Cultivar, the name of two red clover cultivars: ‘Suez’ and ‘Amos’.
Column B: Plant, ID of each plant in each cultivar, e.g., S1-S4 represent four plants from cultivar ‘Suez’.
Column C: FH: Flower head ID of each flower head in each plant, e.g., row 2-10 represent three different flower heads in plant S1, and for each flower head ID, florets were measured as three replicates.
Column D: Length, the lengths (mm) of each measured corolla tube.
** **
Foraging_speed_2017.csv
Aim: to obtain the foraging speed (i.e, the number of visited florets per minute) of different bee species in two red clover cultivars in experiment 2017.
Column A: Cultivar, the name of two red clover cultivars: ‘Rajah’ and ‘Amos’.
Column B: Bee, the name of different bee species.
Column C: Floret, the calculated number of florets visited per minute.
** **
Rejection_behaviour_2020.csv
Aim: to correlate the effect of the 1st interviewed bee on the rejection behaviour of the 2nd interviewed bee.
Column A: Floret, the total number of florets per flower head.
Column B: Floret_bee, the number of florets visited by the 1st interviewed bee.
Column C: Reject, e.g., ‘0’ represents accept and ‘1’ represents reject behaviour of the 2nd interviewed bee.
** **
Flower_exploitation_two_bees_2020.csv
Aim: to correlate the flower exploitation rate of the 1st interviewed bee and the 2nd interviewed bee (for those 2nd bees that accepted the flower head). The flower exploitation rate is a value ranging from 0 to 1, calculated as the number of visited florets divided by the total number of available florets per flower head.
Column A: Cultivar, the name of two red clover cultivars: ‘Suez’ and ‘Amos’.
Column B: Bee1, the calculated flower exploitation rate of the 1st interviewed bee.
Column C: Bee2, the calculated flower exploitation rate of the 2nd interviewed bee.
** **
Flower_exploitation_one_bee_2020.csv
Aim: to compare the flower exploitation rate of the 1st interviewed bee from different bee species. The flower exploitation rate is a value ranging from 0 to 1, calculated as Visited_floret divided by Floret.
Column A: Cultivar, the name of two red clover cultivars: ‘Suez’ and ‘Amos’.
Column B: Bee, the name of bee species.
Column C: Visited_floret, the number of visited florets per flower head.
Column D: Floret, the number of total available florets per flower head.
** **
Foraging_speed_two_bees_2020.csv
Aim: to compare the foraging speed of the 1st and 2nd conspecific interviewed bees in experiment 2020.
Column A: Bee, the name of two bee species in the experiment.
Column B: Order, ‘1’ and ‘2’ represent the 1st and 2nd interviewed bee respectively.
Column C: Floret, the number of florets per flower head visited by each bee.
Column D: Time, the time (s) spent by each bee that pollinated the flower head.
Column E: Speed, the calculated foraging speed (i.e., the number of visited florets per minute) of each interviewed bee.
** **
Stigmatic_pollen_deposition_2019.csv
Aim: to obtain the number of pollen grains deposited by different bumble bee species in two red clover cultivars.
Column A: Cultivar, the name of two red clover cultivars: ‘Amos’ and ‘Suez’.
Column B: Treatment, the name of different bee species and the control treatment.
Column C: Bee, ID of each bee individual, e.g., P1-P28 represents 28 bee individuals of Bombus pascuorum.
Column D: Floret, ID of each floret, e.g., 1-5 in row 2-6 represent five different florets visited by bee P1.
Column E: Pollen, the number of pollen grains deposited on each floret by each bee individual.
Seed_set_2019.csv
Aim: to obtain the number of seeds out of the pollinated florets from different pollination treatments in two red clover cultivars.
Column A: Cultivar, the name of two red clover cultivars: ‘Amos’ and ‘Suez’.
Column B: Treatment, the name of pollination treatments.
Column C: Ovule, the number of pollinated ovules per pollination treatment. It was calculated as the number of pollinated florets per flower head multiplied by two.
Column D: Seed, the number of seeds produced from each treatment.
