Data and code from: Environmental drivers of wild bee reproductive performance across a South American dryland ecoregion

The reproductive performance of wild bees is a key determinant of their population persistence. However, few studies have directly examined the environmental drivers of demographic processes using a geographically broad approach. In this study, we explored how biotic and abiotic factors influence the reproduction of solitary, cavity-nesting bees across the Monte Desert ecoregion in Argentina. Using artificial wood nests and a standardized sampling spanning 2,000 km and 20° of latitude, we related key reproductive metrics—nest establishment, offspring production, and offspring survival—to latitude, climate, and biotic factors (flower abundance, vegetation cover, and brood parasitism). Climate was the most consistent and strongest predictor of bee reproductive performance: warm, humid conditions during the nesting period were associated with reduced nest establishment and offspring survival. Brood parasitism also emerged as a strong driver, significantly reducing offspring survival. Acros..., , , # Environmental drivers of wild bee reproductive performance across a South American dryland ecoregion

[https://doi.org/10.5061/dryad.0gb5mkmcc](https://doi.org/10.5061/dryad.0gb5mkmcc)

## Description of the data and file structure

Data and code for Aranda-Rickert et al. 2025: \"Environmental Drivers of Wild Bee Reproductive Performance Across a South American Dryland Ecoregion\"

### Files and variables

#### File: Aranda-Rickert\_data\_Rcode\_ProceedingsB.zip

**Description:** 

The excel file ‘Aranda-Rickert_bee_data_column_headers’ contains 2 spreadsheets (‘raw_data’ / ‘column_headers’). Spreadsheet ‘raw_data’ contains the dataset with the response variables and the environmental predictors used in this study. Spreadsheet ‘column_headers’ explains each variable.

The csv file 'Aranda-Rickert_bee_data’ contains the dataset with the response variables and the environmental predictors to run the R scripts.

The R file ‘Aranda-Rickert_R_code’ contains the R scripts with the analyses to...,