Data for: Drought and temperature stresses impact pollen production and autonomous selfing in a California wildflower, Collinsia heterophylla

Ongoing climatic changes have altered growing conditions for plants by limiting water availability and inducing unprecedented temperature increases, eliciting plant functional responses that compromise floral trait expression, reduce pollen production but promote early self-pollination. In a controlled greenhouse study, plants of Collinsia heterophylla, an annual mixed-mated hermaphrodite, were grown under temperature and water stresses. Floral trait responses and related effects on plant reproductive success were recorded. Plants grown under temperature and water stresses were shorter and had fewer leaves at flowering than control plants. Temperature-stressed plants flowered earlier and had smaller flowers that produced fewer per capita pollen grains than control and water-stressed plants. While lifetime flower production in plants experiencing temperature stress alone or water stress alone was similar to control plants, those receiving combined temperature and water stresses had signi..., Dataset was collected by recording plant and floral traits by hand and collected data were entered into EXCEL worksheets for processing. IBM SPSS Statistics 21.0 (SPSS Inc. Chicago, IL) was used for statistical analyses., The included data file can be opened with any spreadsheet software including MS Excel or Google Sheets., # Arathi and Smith (2023), Drought and temperature stresses impact pollen production and autonomous selfing in a California wildflower, Collinsia heterophylla, Dryad, Dataset, Dryad, Dataset,

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The dataset contains floral trait measures and plant vegetative measures for the different abiotic stress treatments. The studies were conducted in a greenhouse growth chamber. There are no field sites associated with the data.

Methods of data collection: see manuscript for details

## Description of the data and file structure

The data are in a spreadsheet format saved as a CSV/text file. The column headers that describe the traits are self-explanatory. For specific terms only relevant to this study or species, the definitions are provided in the published manuscript.
NA in the data file represents no data and should not be interpreted as 0.00.

File count: 2
File format: .csv

## Details for: VWC data\_Arathi and Smith.csv

Description: a comma-delimited file containing the soil water co...