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Record W4414425636 · doi:10.17348/jbrit.v19.i3.1424

Herbarium specimens reveal a significantly earlier flowering trend for Cypripedium acaule (Orchidaceae) in North Carolina (U.S.A.)

2025· article· en· W4414425636 on OpenAlexaboutno aff
Kylie E. Dumaw, Kathleen M. Pryer, Michael D. Windham, Nikolai M. Hay

Bibliographic record

VenueJournal of the Botanical Research Institute of Texas · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
FundersCommonwealth Health Research Board
KeywordsHerbariumPhenologyWildflowerTaxonBotanical garden

Abstract

fetched live from OpenAlex

Cypripedium acaule, the pink lady’s slipper, is an orchid native to eastern North America, ranging from central and eastern Canada to the southeastern United States. It is a rather common and striking spring wildflower in North Carolina (NC), extending from the mountains to the coastal plain region. A preliminary survey of herbarium specimens at Duke University (DUKE) suggested that flowering times for C. acaule collected in NC in recent years were notably earlier than for those from the last century. Here we set out to investigate this phenological hypothesis by accessing the Southeast Regional Network of Expertise and Collections (SERNEC) portal to extract the metadata from 57 herbaria for 502 herbarium records of C. acaule from NC. Of these, only 193 herbarium specimens from 55 counties, spanning the years 1886–2022, had been collected when the plant was in flower. Each of these “time-stamped” records was manually georeferenced to include latitude, longitude, and elevation coordinates, using tools in Google Earth Pro. Because NC varies by over 2037m in elevation, nearly 3° in latitude, and 10° in longitude, the flowering times recorded for C. acaule spanned 83 spring days. To control for the effect of location on flowering time, we implemented Hopkins’ Bioclimatic Law to normalize flowering times across the state. A linear regression of the 193 normalized flowering dates suggests an overall shift in blooming that has advanced by 21 days since 1886. A mixed-effects regression was performed to determine the relationship of elevation, latitude, average winter temperature, total winter precipitation, and the total number of winter frost days from the year and location of collection (as fixed variables) on the effect of flowering day of year (DOY). The most significant effect on the flowering DOY was from average winter temperature: for each increase in 1° C, the flowering DOY was 3.23 days earlier. If this trend continues, the flowering time of C. acaule could become decoupled from the peak activity of its pollinators, increasing the risk of reproductive failure. This study highlights the vital role of herbarium specimens in understanding the effects of climate change on shifts in phenological patterns.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.716
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.097
GPT teacher head0.321
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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