Herbarium records reveal sex-specific effects of climate warming on phenology of Fragaria virginiana
Bibliographic record
Abstract
Plant populations tend to be hermaphroditic, but in some cases can diverge into a dioecious sexual system, or one that possesses both male and female members. Prior studies show a correlation between sex systems evolution such as these and ecological variables. These variables impose challenges on plants' ability to propagate and in a dioecious population, males and females have been seen to respond differently to different environmental contexts. What is still being studied is the degree to which biogeography contributes to the sexual differentiation of dioecious species. While evidence supports the idea of a latitudinal gradient contributing to sexual differentiation, it remains unanswered whether a temporal gradient is also a driver of this divergence. We used digitized herbarium records of the dioecious plant Fragaria virginiana from throughout the United States and Canada to test these hypotheses. We determined whether F. virginiana records were male or female and characterized their phenological (life cycle) stage. We sampled records spanning over 170 years to determine how the timing of distinct phenological stages has shifted in males and females over time. To date we have examined roughly 7000 digitized records spanning from 1850-2021. Preliminary analyses suggest that F. virginiana has shifted flowering almost 3 weeks earlier now than in 1850. I will score 400 more samples before concluding the initial phenology scoring of records. We will also perform analyses to test whether male and female F. virginiana are differentially shifting timing of phenological phases over time. Additionally, we will test whether shifts in phenophase over the last 170 years can be explained by changing climatic variables (temperature, precipitation, frost). All analyses will control for spatial clustering of samples.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".