Temporal variation in floral scent emission of a woody plant and flower visiting behaviour of male and female flies
Data files
Dec 31, 2024 version files 75.99 KB
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Abbreviation.xlsx
11.95 KB
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Code_of_temporal_variation_and_sex-specific_pollinator_behavior.R
4.37 KB
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Data_of_field_trap.xlsx
12.32 KB
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Data_of_floral_scents.xlsx
18.15 KB
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Data_of_visitation_behavior.xlsx
12.38 KB
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Data_of_Y_tube.xlsx
12.91 KB
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README.md
3.91 KB
Abstract
Most flowering plants rely on insects for pollination and flowers are advertised using odor and visual cues. Flower scent consists of a complex blend of volatile compounds of which the emission can vary over time (and space) within species. Pollinator foraging behaviour, such as the choice for flowers and the time spent gathering nectar and/or pollen, can also show significant intraspecific variation. Underlying variation in pollinator behaviour can be sensory or foraging-related biases among sexes or individuals. Investigating the role of temporal variation in floral volatiles on visitation behaviour of male and female pollinators is largely unexplored. We examined temporal variation in the emission of scent of yellowhorn Xanthoceras sorbifolium flowers, visitation behaviour of its main pollinators, male and female Bibio rufiventris flies, and their responses to floral volatile compounds using field experiments and controlled bioassays. Our results show significant daily fluctuations in floral volatile emission of X. sorbifolium in the field. The relative emission of 1-octen-3-ol, 1-octanol, benzaldehyde, and α-farnesene increased from 9:00 to 15:00 h, while (Z)-3-hexen-1-ol, (E)-2-hexen-1-ol, (E)-2-hexenal, 2-methyl-6-hepten-1-ol, (E)-2-nonenal, 2,6,6-trimethyl-2-cyclohexene-1-methanol, (E)-2-nonenal, and (E,Z)-2,6-nonadienal decreased. In concert, we observed an increase in visits and visitation duration for male pollinators, but a decrease for female visitation duration. Pollinators exhibited sex-specific responses to floral volatiles, with attraction to 1-octen-3-ol and 1-octanol for B. rufiventris males, while (E)-2-nonenal, (E,Z)-2,6-nonadienal, and (E)-2-hexenal attracted females. Our study shows that temporal variation in floral scent may explain differences in flower visitation by male and female pollinators through sex-specific responses to floral volatiles. Investigating sex-based differences exhibited by pollinators and temporal variation in floral scent emission will help understand the dynamic nature of plant–pollinator interactions.
README: Temporal variation in floral scent emission of a woody plant and flower visiting behaviour of male and female flies
https://doi.org/10.5061/dryad.xd2547dt4
Description of the data and file structure
We collected the data of visitation behavior, floral scents, field trap in the field, and the data of Y-tube from the lab.
Files and variables
Data of Temporal variation and sex-specific pollinator behavior
DOI:10.5061/dryad.xd2547dt4
We have submitted our raw data of abbreviation (Abbreviation.xlsx), floral scents (Data_of_floral_scents.xlsx), visitation behavior of flies (Data_of_visitation_behavior.xlsx), Y-tube bioassay results (Data_of_Y_tube.xlsx), field trap experiment results (Data_of_field_trap.xlsx), and R script (Code_Temporal_variation_and_sex-specific_pollinator_behavior.R).
Description of the data and file structure
###Abbreviation.xlsx
T: Time point, e.g. three time point: 9:00, 12:00, and 15:00.
D: Date, four sampling dates.
P: Plant individual, three plant individuals observed each sampling date.
B: Block, five blocks were set up in the field trap experiment.
S: Sex, female and male.
SF: Female
SM: Male
N: Number of catches, the number of flies catches in the trap using lures in the filed trap experiment.
C1: (Z)-3-hexen-1-ol
C2: (E)-2-hexen-1-ol
C3: (E)-2-hexenal
C4: 1-heptanol
C5: 1-octen-3-ol
C6: 2-methyl-6-hepten-1-ol
C7: 6-methyl-5-hepten-2-one
C8: 1-decanol
C9: Benzaldehyde
C10: 1-octanol
C11: Nonanal
C12: Decyl alcohol
C13: (E)-2-nonenal
C14: (E,Z)-2,6-nonadienal
C15: Decanal
C16: Tridecane
C17: 2,6,6-trimethyl-2- cyclohexene-1-methanol
C18: Methyl salicylate
C19: β-cyclocitral
C20: β-Bourbonene
C21: β-Cubebene
C22: β-Cubebene-4
C23: β-Amorphene
C24: α-Farnesene
C25: Cedrene
C26: Elixene
C27: Cadina-3,9-diene
FVT: Female visitation time
MVT: Male visitation time
FA: Female abundance
MA: Male abundance
F+MA: Both female and male abundance
CH1: Solvent
CH2: 1-Octen-3-ol
CH3: 1-Octanol
CH4: (E)-2-Nonenal
CH5: (E,Z)-2,6-Nonadienal
CH6: (E)-2-hexen-1-ol
CH7: (E)-2-hexenal
CH8: α-Farnesene
###floral scents.xlsx
T: Time point, e.g. three time point: 9:00, 12:00, and 15:00.
D: Date, four sampling dates.
P: Plant individual, three plant individuals observed each sampling date.
C1-C27, different floral scents measured, and detailed name see Abbreviation.xlsx.
###visitation behavior.xlsx
T: Time point, e.g. three time point: 9:00, 12:00, and 15:00.
D: Date, four sampling dates.
P: Plant individual, three plant individuals observed each sampling date.
FVT: Female visitation time
MVT: Male visitation time
FA: Female abundance
MA: Male abundance
F+MA: Both female and male abundance
###Y-tube.xlsx
SF: Female
SM: Male
1-Octen-3-ol, 1-Octanol, Benzaldehyde, (E)-2-Nonenal, (E,Z)-2,6-Nonadienal, (E,Z)-2,6-Nonadienal, 3-hexen-1-ol, (E)-2-hexen-1-ol, (E)-2-hexenal, and α-Farnesene were tested chemicals.
Paraffin: the solvent.
Number was indicated the fly individuals that preferred to the chemicals.
No choice, the number of flies that did not select one of the two chemicals.
Total number, the sum of flies that was used in the each chemical teset.
###field trap.xlsx
S: Sex, female and male.
SF: Female
SM: Male
N: Number of catches, the number of flies catches in the trap using lures in the filed
CH1: Solvent
CH2: 1-Octen-3-ol
CH3: 1-Octanol
CH4: (E)-2-Nonenal
CH5: (E,Z)-2,6-Nonadienal
CH6: (E)-2-hexen-1-ol
CH7: (E)-2-hexenal
CH8: α-Farnesene
Code/software
R is required to run * Code of temporal variation and sex-specific pollinator behavior.R *; the script was created using version 4.4.0.
Annotations are provided throughout the script through 1) library loading, 2) dataset loading and cleaning, 3) analyses, and 4) figure creation of several figures.