Plasticity in bog plant nitrogen concentration is related to recent weather conditions
Bibliographic record
Abstract
Abstract Background and aims NO x emissions from development of the oil sands resource in the Athabasca Oil Sands Region (AOSR) in Alberta, Canada have caused elevated N deposition, which has led to increased N concentrations in bog Sphagnum mosses and in leaves of some vascular plant species. Here, we address whether climate-related environmental variables affect N concentrations in bog species. Methods Plant samples were collected from 5 bogs in the AOSR, cleaned, dried, ground, and analyzed for N concentrations. Tissue N concentrations in 8 bog plant species were regressed against mean daily air temperature, precipitation, photosynthetically active radiation, atmospheric water potential, and atmospheric vapor pressure deficit over the 5, 10, 15, 20, 25, and 30 days prior to plant sampling using best subset regression. Results Climate-related environmental variables explained 12–61 % of overall variability in plant tissue N concentration. Tissue N concentrations in more deeply rooted vascular species ( Maianthemum trifolium, Rubus chamaemorus, Rhododendron groenlandicum , Picea mariana ) respond to environmental variables over longer periods of time (the previous 25–20 days prior to sampling) than more shallow rooted vascular species ( Vaccinium oxycoccos , Vaccinium vitis-idaea ) or mosses ( Sphagnum capillifolium, Sphagnum fuscum ) (5–10 days prior to sampling). Conclusion In the AOSR, N deposition and climate will continue to change. Understanding how bog plant N concentrations are affected by elevated N deposition from oil sands development and by climate will be key to the ability of monitoring programs to identify oil sands related effects on bog ecosystems across the AOSR.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".