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Appears in Collections:University of Stirling Research Data
Title: Supplementary data for "Are flowers tuned to buzzing pollinators? Variation in natural frequency of stamens with different morphologies and its relationship to bee vibrations"
Creator(s): Nunes, Carlos E P
Nevard, Lucy
Montealegre-Zapata, Fernando
Vallejo-Marin, Mario
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Keywords: Biomechanics
buzz pollination
flower diversity
Date Available: 22-May-2020
Citation: Nunes, CEP; Nevard, L; Montealegre-Zapata, F; Vallejo-Marin, M (2020): Supplementary data for "Are flowers tuned to buzzing pollinators? Variation in natural frequency of stamens with different morphologies and its relationship to bee vibrations". University of Stirling. Faculty of Natural Sciences. Dataset.
Publisher: University of Stirling. Faculty of Natural Sciences
Dataset Description (Abstract): Code and data used in Nunes, Nevard, Montealegre-Zapata & Vallejo-Marin (2020) preprint at . Abstract: During buzz pollination, bees use vibrations to remove pollen from flowers. Vibrations at the natural frequency of pollen-carrying stamens are amplified through resonance, resulting in higher-amplitude vibrations. Because pollen release depends on vibration amplitude, bees could increase pollen removal by vibrating at the natural frequency of stamens. Yet, few studies have characterized the natural frequencies of stamens and compared them to frequencies of buzz-pollinating bees. Here we use laser Doppler vibrometry to characterise natural frequencies of stamens of six buzz-pollinated Solanum taxa of contrasting stamen morphology. We also compare the fundamental frequency of bumblebee buzzes produced on two Solanum species with different natural frequencies. We found that stamen morphology and plant identity explain variation in natural frequency of stamens. Our results show that medium-sized pollinators, such as bumblebees, produce buzzes of frequencies higher than the natural frequency of most (5/6) of the Solanum species we studied. However, the observed natural frequency of Solanum stamens is at the low end of the range of frequencies produced by other buzz-pollinating bees. Thus, our findings suggest that in some buzz pollination interactions, but not others, stamen resonance may play a role in mediating pollen release.
Dataset Description (TOC): From the ReadMe file. This folder contains code and data necessary to replicate our data analysis. Currently the folder is at the final state, with all data processed and analysed. The spreadsheet "new_file_list.txt" lists the flower measurements and sample data with the .txt files from vibration measurements with Fast Fourier Transform (FFT) spectra in .txt files in separate folders for data obtained with Doppler laser vibrometer from stamens (vib_data) and with a accelerometer attached to the shaker platform (ref_data), obtained simultaneously with the data acquisition software VibSoft 20 (Polytec, Waldbronn, Germany). Files with the same number in their name refer to the same sampling event or the same measured stamen. To visually check and explore the data, you can use the code in "nat_freqs_shaker.pdf". The markdown codes "obtaining_fn_single_values.pdf" were used to retrieve the first natural frequency from files in folder "vib_data". To replicate data processing of the natural frequency data, use "obtaining_fn_single_values.pdf". To replicate the analysis of stamen natural frequencies, you can use the code from "fn_stats.pdf" after running the code from "obtaining_fn_single_values.pdf" in your R environment. To replicate the generation of plots used in the figures, you can use the code from "MS_figure_plots.pdf" after running the code in "obtaining_fn_single_values.pdf" in your R environment. The spreadsheet "ColonyA1cit_to_het.csv" refers to data on the peak frequencies from bee buzzes obtained with the free Software Audacity (Audacity Team 2019) as described in the paper Methods. Both pdfs and Rmarkdown files from the codes are included in this folder. Proper UnZip software is recommended for accessing the dataset, for instance, IZArc.
Type: dataset
Funder(s): NERC - Natural Environment Research Council
Leverhulme Trust
Contract/Grant Number: RPG-2018-235
Rights: Rights covered by the standard CC-BY 4.0 licence:
Affiliation(s) of Dataset Creator(s): University of Stirling (Biological and Environmental Sciences)
University of Lincoln

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