DOI: 10.5061/dryad.98sf7m0pk
title: Data for: Effective population size mediates the impact of pollination services on pollen limitation

description: Inadequate pollen receipt limits flowering plant reproduction worldwide.
 Ecological causes of pollen limitation (‘PL’), like pollinator scarcity
 and low plant abundance, have been a primary focus of research. The
 genetic diversity of plant populations could impact both quantity and
 quality components of PL in concert with ecological factors, yet empirical
 examples are lacking. We evaluated joint effects of ecological factors
 (flower abundance, pollinator visitation) and genetic effective population
 size (NE) on PL across 13 populations of a common herb. We used a
 histological approach with 5504 styles from 1137 flowers to separate
 quantity and quality components of PL, and link these to reproductive
 output. NE and pollinator visitation interacted to shape PL, but NE had
 stronger direct effects. Effectively smaller populations experienced
 stronger quantity PL, and controlled crosses in a pollinator-free
 environment revealed that pollen quantity was an intrinsic
 population-level attribute that increased with NE. Pollinator visitation
 enhanced pollen quality, but only in effectively larger populations.
 Quantity and quality PL negatively impacted fruit and seed set,
 respectively. Results highlight that PL is dictated by plant population
 genetic diversity in addition to commonly evaluated ecological factors.
 Efforts to support pollinators will only enhance plant reproduction in
 genetically diverse plant populations.
description: Datasets include field-collected data in natural plant
 populations on pollinator visitation rates and floral density, data on
 pollen-pistil interactions from field-collected flowers, population
 genomic metrics dervied from RAD-Seq data (previously published), and
 crosses performed in greenhouse conditions. 
description: R v. 4.2.1
description: # Data for: Effective population size mediates the impact of pollination
 services on pollen limitation
 Datasets include
 pollinator visitation data from natural populations, histological data on
 pollen-pistil interactions from flowers collected in the field and
 population attribute data (effective population size, flower abundance,
 elevation etc.). R code for analyses in the manuscript are also provided.
 ## Description of the data and file structure In this study we related
 pollen limitation with pollinator visitation, flower abundance, and
 effective population size of 13 populations of Argentina anserina. The
 datasets include data from the field (pollinator visitation, flower
 abundance), histological data on pollen-pistil interactions from
 field-collected flowers, and population-level data on effective population
 size generated from ddRADseq analyses (see
 ). Data were collected
 across the span of three years (2019-2021). ### Excel Files: **Name:
 pollinator_data_inputR2.xlsx** Description: data on pollinator visitation
 in the field used for calculation of mean visitation rate per population.
 Metadata describing each column of data are in the ‘metadata’ tab in the
 excel file. Data in this file are associated with r code entitled
 “Visitation_Rate_and SEM analyses.R” **Name: polpist_final2019-2021.xlsx**
 Description: data on pollen pistil interactions from the field used to
 calculate estimates of pollen quantity and quality limitation for each
 population. Metadata describing each column of data are in the ‘metadata’
 tab in the excel file. Data in this file are associated with r code
 entitle “segmented_code.R” **Name: pop_level_dataset.xlsx** Description:
 population-level average data of pollen limitation metrics, effective
 population size, anther and stigma number, pollinator visitation rate,
 flower abundance, and reproductive output used for structural equation
 model. Metadata describing each column of data are in the ‘metadata’ tab
 in the excel file. Data in this file are associated with r code entitled
 “Visitation_Rate_and SEM analyses.R” **Name: greenhouse_crossdata.xlsx**
 Description: pollen deposition data from hand-pollinations in a pollinator
 free greenhouse. Average deposition per population was calculated from
 this dataset. Metadata describing each column of data are in the
 ‘metadata’ tab. ## Sharing/Access information A previous paper that
 details population genomic analyses used to generate effective population
 size are here: 
 ## Code/Software ### R files: **Name: Visitation_Rate_and SEM analyses.R**
 Description: code used to model pollinator visitation rate to obtain mean
 visitation rate per population, and code to run structural equation model
 linking ecological and population genetic factors to pollen limitation and
 ultimately reproductive success. Input data are in
 “pollinator_data_inputR2.xlsx” and “pop_level_dataset.xlsx”. All datasets
 were read into R by pasting to the clipboard and then using
 read.table(pipe("pbpaste"),header=TRUE) **Name:
 Segmented_code.R** Description: code used to estimate pollen quality (b1
 slope) from segmented regression of pollen tubes on pollen grains
 deposited. Code is provided for one population that was repeated across
 all populations. Data were read into R by pasting to the clipboard and
 then using read.table(pipe("pbpaste"),header=TRUE)