Data from: Pollinator and flower morphology interact to influence pollen receipt
Data files
Aug 18, 2025 version files 45.33 KB
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Barrydale_Full_Dataset.csv
1.60 KB
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Baviaanskloof_Full_Dataset.csv
2.98 KB
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Plant_Trait_Variation.csv
17.20 KB
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Proboscis_Measurements.csv
4.30 KB
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README.md
8.52 KB
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Swartberg_Full_Dataset.csv
2.66 KB
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Swartberg_Full_DatasetR60.csv
2.63 KB
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Swellendam_Full_Dataset.csv
5.45 KB
Abstract
Pollinators are important drivers of floral divergence and speciation in plants. Here we investigate the effects of floral trait variation and trait matching on pollen receipt in two different plant species, each visited by different functional pollinator types across their ranges. Using single visits by pollinators to flowers in populations with experimentally increased variance in floral morphology, we demonstrate that distinct functional groups of pollinators affect pollen movement differently through their interactions with floral trait variation. This study provides details of how the mechanical fit between floral and pollinator morphology may drive the evolution of floral traits through its effects on pollen deposition both within and between populations with contrasting pollinators.
This file READ_ME_Performance_Surfaces.txt was generated on 30/03/2024
GENERAL INFORMATION:
- Title of Dataset: Pollinator and flower morphology interact to influence pollen receipt
- Author Information:
- Date of data collection:
March and April 2015 to 2024 - Field locations of data collection:
Main experimental sites:
A. Barrydale, Western Cape, South Africa (-33.935997°S, 20.679453°E)
B. Swartberg, Western Cape, South Africa (-33.362594°S, 22.068132°E)
C. Nuwekloof Pass, Baviaanskloof, Eastern Cape, South africa (-33.511291°S, 23.642786°E)
D. Swellendam, Western Cape, South Africa (-34.184574°S, 20.291919°E) - Funding sources:
DATA AND FILE OVERVIEW
1. Description of dataset
Our dataset investigates the interaction between flower and pollinator morphology in influencing pollen receipt surfaces in two geophytes, Nerine humilis and Tritoniopsis revoluta.
Data in these files have primarily been collected from our four field sites that represented a main 'native' site of each of the taxa, we also introduced variation from
close populations in order to increased variance in each population. This allowed us to more easily determine the form and strength of selection.
2. File list
File 1
Name:1. Proboscis_Measurements.csv
Description: Proboscis measurements of all insects from our experimental populations.
File 2
Name:2. Plant_Trait_Variation.csv
Description: Floral trait measurements associated with the standing variation and increased variation for each species, from each population.
File 3
Name:3. Swellendam_Full_Datasetcsv
Description: Full dataset associated with single visits for the short style locality, Swellendam. This dataset was specifically used to generate performance surfaces and selection coefficients for the short style Nerine humilis.
File 4
Name:4. Baviaanskloof_Full_Dataset.csv
Description: Full dataset associated with single visits for the long style locality, Baviaanskloof. This dataset was specifically used to generate performance surfaces and selection coefficients for the long style Nerine humilis.
File 5
Name:5. Barrydale_Full_Dataset.csv
Description: Full dataset associated with single visits for the long tube locality, Barrydale. This dataset was specifically used to generate performance surfaces and selection coefficients for the long tubed Tritoniopsis revoluta.
File 6
Name:6. Swartberg_Full_Dataset.csv
Description: Full dataset associated with single visits for the short tubed locality, Swartberg. This dataset was specifically used to generate performance surfaces and selection coefficients for the short tubed Tritoniopsis revoluta.
File 7
Name:6. Swartberg_Full_DatasetR60.csv
Description: Full dataset associated with single visits for the short tubed locality, Swartberg. This dataset was specifically used to generate selection coefficients for short proboscid insects associated with the short tubed Tritoniopsis revoluta. We removed one outlier from this particular dataset which gave a significant linear coefficient when present (see Figure 2F), as in the "Swartberg_Full_Dataset.csv".
This dataset is the same as file 6, but without row 60.
3. Methodological information
(A) Morphological data:
Files 1 and 2 containing raw data associated with calculating descriptive statistics, specifically means and standard deviations. File 1 is associated with proboscis measurements and File 2 contains data associated with local and increased variation at our experimental localities.
(B) Performance surfaces and coefficients
Files 3-7 contains data associated with single visits based on native and increased variance. This raw data was used to generate pollen receipt surfaces and calculate selection coefficients.
DATA SPECIFIC INFORMATION FOR EACH FILE
FILE: 1. Proboscis_Measurements.csv
(A) Number of variables: 6
(B) Number of rows: 62 (including headers)
(C) Variable list:
- Date: Date insect was caught.
- Pollinator: Pollinator species
- Locality: Locality where caught
- Caught visiting: Flower pollinator was caught on
- Extended proboscis length (mm): The extended proboscis length measurement of each insect
- Functional Body Length (mm): Body length measurement associated with affecting pollination
(D) Missing data codes: 37 cells under "Functional Body Length (mm)" starting from lines 29 to 65
(E) Abbreviations used: None
(F) Other relevant information: None
FILE: 2. Plant_Trait_Variation.csv
(A) Number of variables: 4
(B) Number of rows: 441 (including headers)
(C) Variable list:
- Species: Taxon
- Locality: Locality of taxon sampled
- Natural Variation: Natural variation associated with the trait collected for each taxon
- Extended Variation: Increased variation associated with the trait collected for each taxon.
(D) Missing data codes: None
(E) Abbreviations used: None
(F) Other relevant information: Data is only missing because of unequal sampling between different taxa for natural versus extended variation columns
FILE: 3. Swellendam_Full_Dataset.csv
(A) Number of variables: 4
(B) Number of rows: 146 (including headers)
(C) Variable list:
- Source: Source of trait variation used in single visit experiment
- Pollinator: Pollinator taxon visiting flower
- Style length (mm): Style length of flower used in single visit experiment
- Pollen: Pollen grains deposited per single visit
(D) Missing data codes: None
(E) Abbreviations used: None
(F) Other relevant information: None
FILE: 4. Baviaanskloof_Full_Dataset.csv
(A) Number of variables: 4
(B) Number of rows: 70 (including headers)
(C) Variable list:
- Source: Source of trait variation used in single visit experiment
- Pollinator_species: Pollinator taxon visiting flower
- Style length (mm): Style length of flower used in single visit experiment
- Pollen: Pollen grains deposited per single visit
(D) Missing data codes: None
(E) Abbreviations used: None
(F) Other relevant information: None
FILE: 5. Barrydale_Full_Dataset.csv
(A) Number of columns : 5
(B) Number of rows: 55 (including headers)
(C) Variable list:
- Functional_pollinator_type:Describes the functional group of pollinators associated with a single visit
- pollinator: Pollinator species
- tube_length_(mm): Tube length of flower used in single visit
- pollen: number of pollen grains recorded associated with single visit event
- visitor: code for functional pollinator group used in "by" command for generalized additive models
(D) Missing data codes: None
(E) Abbreviations used:
[SPI] - Short probscid insect
[LTF] - Long proboscid fly
(F) Other relevant information: visitor code is directly linked to functional pollinator groups defined in (E) directly above
FILE: 6. Swartberg_Full_Dataset.csv
(A) Number of columns : 5
(B) Number of rows: 100 (including headers)
(C) Variable list:
- Functional_pollinator_type:Describes the functional group of pollinators associated with a single visit
- Pollinator: Pollinator species
- tube_length_(mm): Tube length of flower used in single visit
- pollen: number of pollen grains recorded associated with single visit event
- visitor: code for functional pollinator group used in "by" command for generalized additive models
(D) Missing data codes: None
(E) Abbreviations used:
[LTF] - Long proboscid fly
[SPI] - Short probscid insect
(F) Other relevant information: visitor code is directly linked to functional pollinator groups defined in (E) directly above
FILE: 7. Swartberg_Full_DatasetR60.csv
(A) Number of columns: 5
(B) Number of rows: 99 (including headers)
(C) Variable list:
- Functional_pollinator_type: Describes the functional group of pollinators associated with a single visit
- Pollinator: Pollinator species
- tube_length_(mm): Tube length of flower used in single visit
- pollen: number of pollen grains recorded associated with single visit event
- visitor: code for functional pollinator group used in "by" command for generalized additive models
(D) Missing data codes: None
(E) Abbreviations used:
[LTF] - Long proboscid fly
[SPI] - Short probscid insect
(F) Other relevant information: visitor code is directly linked to functional pollinator groups defined in (E) directly above.
Important! Row 60 was removed in this dataset associated with the above dataset "Swartberg_Full_Dataset.csv" because of an outlier that gave a significant postive linear relationship.
We used single-visit experiments to understand the relationship between a component of female fitness (pollen receipt) and flower morphology, in association with insects that vary in their morphological traits that affect pollination.
- Insect morphology was collected by capture with a butterfly net and measurements were taken with a steel ruler or callipers
- Floral morphology was collected by cutting bolting inflorescences at the base from the field, and floral traits were measured to the nearest millimetre using a steel ruler or digital set of callipers
- Inflorescences containing flowers with receptive stigmas were used to conduct single visits where virgin flowers were exposed to pollinators and pollinators were allowed to visit a flower only once. After this event, the stigmas were removed and embedded in fuchsin gel from which the pollen grains were counted. With Nerine humilis that have large pollen grains, pollen was counted directly on the stigma after a single visit in the same afternoon under a disection microscope.
- Newman, Ethan; Ellis, Allan; Anderson, Bruce (2025). Data from: Pollinator and flower morphology interact to influence pollen receipt. Zenodo. https://doi.org/10.5281/zenodo.10903351
- Newman, Ethan; Ellis, Allan; Anderson, Bruce (2025). Data from: Pollinator and flower morphology interact to influence pollen receipt. Zenodo. https://doi.org/10.5281/zenodo.10903352
- Newman, Ethan; Ellis, Allan; Anderson, Bruce (2025). Pollinator and flower morphology interact to influence pollen receipt [Preprint]. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2025.05.16.654420
- Newman, Ethan; Ellis, Allan G.; Anderson, Bruce (2026). Pollinator and Flower Morphology Interact to Affect Pollen Receipt. The American Naturalist. https://doi.org/10.1086/738374
