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Record W4414438470 · doi:10.1080/17429145.2025.2551022

Leaf litter capture in the carnivorous pitcher plant, <i>Sarracenia purpurea</i> : a preliminary study

2025· article· en· W4414438470 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Plant Interactions · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and Biological Electrophysiology Studies
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsPlant litterDetritusAssimilation (phonology)NutrientDecomposerLitterBiomass (ecology)Ecosystem

Abstract

fetched live from OpenAlex

Diet breadth is a key life-history trait influencing range size, evolutionary trajectories, and ecosystem functioning. While diet breadth studies have traditionally been confined to animals, carnivorous plants provide an exciting conceptual extension to existing theory. We examine the possibility of diet breadth expansion in Sarracenia purpurea, a carnivorous pitcher plant, integrating field and greenhouse experiments with CHN analysis to quantify leaf litter consumption. Wild plants captured leaf detritus at levels comparable to insect prey. Pitchers fed leaf biomass in the field exhibited non-significant increases in foliar nitrogen, while the greenhouse experiment showed no effect of leaf litter. These results demonstrate that S. purpurea pitchers capture a substantial amount of leaf litter but show no clear evidence of nitrogen assimilation from this material. We found that short-term nitrogen acquisition from captured litterfall is minimal or absent in S. purpurea pitchers, especially relative to rapid nutrient assimilation from arthropod prey.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score0.293

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 integrity0.0000.001
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 head0.017
GPT teacher head0.242
Teacher spread0.225 · 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