Urban Plant Phenology and Frost Risk (Digitized Herbarium Images)
Digitised herbarium image dataset for 200 plant species from the eastern USA, with four reproductive phenological phases plus PRISM climate data and population density.
- Size
- 1.1 GB
- Format
- CSV
- License
- CC-BY-4.0
- Access
- Open Access
- Source
- Zenodo (record 7714545)
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Challenge
Do the 200 eastern-US wildflower species flower earlier where springs are warmer or where people are denser, and which species' early flowering puts them most at risk from late spring frosts?
- Where to start
- Load flowering_modeling_data (1).csv with na_values=['NA'] and keep doy between 1 and 250. Fit doy ~ tm_spr (mean spring temperature) overall and then within each well-sampled binomial_species to get a days-per-degree sensitivity; also try pop_den (population density) as an urbanisation proxy, but control for county.lat since dense counties cluster in the cool north-east. Peek at the 1 GB crowdsourcedData_upload.csv with DuckDB rather than loading it.
- What to share
- A hexbin or scatter of flowering doy vs tm_spr with the fitted advance (days earlier per +1 C), a ranking of the most temperature-sensitive species, and a short note connecting their early flowering (near-freezing tm_win) to increased late-frost exposure under warming.
💬 Discuss this dataset, ask questions and share your results in its discussion thread. Challenges are open-ended — there's no single right answer.