Carnivorous pitcher plant species (<i>Sarracenia purpurea</i>) increases root growth in response to nitrogen addition
Bibliographic record
Abstract
Nitrogen (N) deposition from anthropogenic sources can facilitate the encroachment of plant species with high-N demands into nutrient-poor ecosystems such as sphagnum bogs. Prior research has demonstrated that altered leaf morphology of the carnivorous pitcher plant Sarracenia purpurea L. can serve as a biological indicator of increased bog nitrification. Our objective was to assess the effect of N addition on the root morphology of S. purpurea. To make this assessment, nine S. purpurea plants were grown in microcosms with their roots positioned on transparent acrylic tubes so that root growth could be monitored. Three replicate microcosms received either a high-N treatment (1.0 mg NH4-N·L−1), low-N treatment (0.1 mg NH4-N·L−1), or no additional N. After 7 weeks, we scanned the roots with WinRhizo Pro software, recorded leaf dimensions, and measured the dry mass of the roots and leaves. The high-N treatment had significantly greater root length, surface area, and dry biomass than the controls. In contrast, we found no difference in leaf dimensions or aboveground biomass among treatments. The results of this study support our hypothesis that S. purpurea increases root growth to uptake nutrients from the soil under conditions of increased N deposition.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".