High rates of nectar depletion in summer grasslands indicate competitive conditions for pollinators

# High rates of nectar depletion in summer grasslands indicate competitive conditions for pollinators ## [https://doi.org/10.5061/dryad.sf7m0cgf7](https://doi.org/10.5061/dryad.sf7m0cgf7) ## Description of the data and file structure All data files are provided in `.rds` format for convenient handling in `R` (and to avoid any nasty tricks Excel might try to play with a regular spreadsheet file). To load an `.rds` files into your `R` environment as a data frame, use the `readRDS()` command. Data frames can easily be exported to `.csv` format using `write.csv()`. Each `.rds` data file is used in one or more of the accompanying RMarkdown files listed in the Code/Software section. ### `wue_nectar.rds` Nectar sampling data from Lower Franconia; 13 columns 1. `site_name`: Name of sampling location; a grassland site 2. `date`: Date of sampling 3. `species`: Species of sampled flower 4. `genus`: Genus of sampled flower 5. `plant`: Individual plant to which sampled flower belonged 6. `index`: Just a row counter 7. `nectar.meanbagged`: Mean volume ($\mu$L) of nectar in bagged flowers for a given species-site-date combo. 8. `treatment`: Whether the sampled flower was bagged or open 9. `microliters.nectar`: Volume of nectar collected from flower 10. `nectar.mc`: Mean-centered nectar volume calculated by dividing `microliters.nectar` by `nectar.meanbagged` 11. `site`: Code for sampling location 12. `site_label`: Label for sampling location used in paper 13. `region`: Study region --- Franconia for all samples ### `ufz_nectar.rds` Nectar sampling data from Saxony-Anhalt; 10 columns 1. `site`: Code for sampling location 2. `date`: Date of sampling 3. `species`: Species of sampled flower 4. `plant`: Individual plant to which sampled flower belonged 5. `bagged.mean`: Mean volume ($\mu$L) of nectar in bagged flowers for a given species-site-date combo. 6. `treatment`: Whether the sampled flower was bagged or open 7. `microliters.nectar`: Volume of nectar collected from flower 8. `nectar.mc`: Mean-centered nectar volume calculated by dividing `microliters.nectar` by `nectar.meanbagged` 9. `site_label`: Label for sampling location used in paper 10. `region`: Study region --- Saxony-Anhalt for all samples ### `wue_transects_sub.rds` Pollinator transect sampling from Lower Franconia; 6 columns 1. \`region``: Study region --- Franconia for all samples 2. `site`: Code for sampling location 3. `site_label`: Label for sampling location used in paper 4. `date`: Date of sampling 5. `pollinator_group`: Functional group of observed pollinator (WB = bees excluding *Apis* and *Bombus*; HB = honey bee, BB = bumble bee, BF = butterfly, SF = syrphid fly) 6. `pollinator_genus`: Genus of observed pollinator ### `ufz_transects_sub.rds` Pollinator transect sampling from Saxony-Anhalt; 24 columns 1. \`region``: Study region --- Saxony-Anhalt for all samples 2. `site`: Code for sampling location 3. `site_label`: Label for sampling location used in paper 4. `date`: Date of sampling 5. `pollinator_group`: Functional group of observed pollinator (WB = bees excluding *Apis* and *Bombus*; HB = honey bee, BB = bumble bee, BF = butterfly, SF = syrphid fly) 6. `pollinator_genus`: Genus of observed pollinator ### `brm_wue_00.rds` Bayesian hierarchical model of Lower Franconia nectar samples (see code file `grassland_nectar_modeling.rmd` below). ### `brm_ufz_01.rds` Bayesian hierarchical model of Saxony-Anhalt nectar samples (see code file `grassland_nectar_modeling.rmd` below). ## Code/Software ### `grassland_nectar_modeling.rmd` This script provides a reproducible workflow for model fitting and validation; uses data files `wue_nectar` and `ufz_nectar` ### `grassland_nectar_visualization.rmd` This script provides a reproducible workflow for model visualization, generating all figures used in the text; uses data files `wue_nectar`, `ufz_nectar`, `wue_transects_sub`, `ufz_transects_sub`, `brm_wue_00.rds`, and `brm_ufz_01.rds`.