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Record W2510107270 · doi:10.1139/cjb-2016-0164

Life stages, demographic rates, and leaf damage for the round-leaved orchids, <i>Platanthera orbiculata</i> (Pursh.) Lindley and <i>P. macrophylla</i> (Goldie) P.M. Brown in a northern hardwood forest in New Hampshire, USA

2016· article· en· W2510107270 on OpenAlexvenueno aff
Natalie L. Cleavitt, Eric Berry, Jill Hautaniemi, Timothy J. Fahey

Bibliographic record

VenueBotany · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
FundersPlymouth State UniversityU.S. Forest ServiceNational Science Foundation
KeywordsBiologyHerbivoreEcologySeedlingOrchidaceaeAbundance (ecology)PopulationBotany

Abstract

fetched live from OpenAlex

Terrestrial orchids are especially susceptible to population declines, and hence are the focus of plant conservation efforts worldwide, but the life history and demography of heterotrophic orchids is not well understood. Our objective was to quantify life stage transition rates for a species pair of rare round-leaved orchids (Platanthera spp.) in a northern hardwood forest. Marked individuals were measured over 5 years, and metrics included: leaf area, damage by herbivores and pathogens, flowering, and seed production. Germination trials were also conducted. Vital rates were very similar for the two species, which were about equally abundant despite large differences in seed production. Mortality was twice as high for juvenile as for adult stages, and juvenile abundance was markedly lower than for adults. Both species are vulnerable to leaf damage by invertebrates and fungi and exhibit clear leaf area thresholds for progression across life stages, both suggesting a delicate carbon balance for these mixotrophic orchids. The likely role of mycosymbiont distribution in facilitating seedling establishment deserves further detailed study to inform conservation efforts as these and other orchid species face an uncertain future owing to rapid environmental change and increasing pressure from white-tailed deer herbivory in the northern part of their range.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.030
GPT teacher head0.215
Teacher spread0.185 · 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

Citations9
Published2016
Admission routes1
Has abstractyes

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