Vegetative growth and belowground expansion from transplanted low‐arctic tundra turfs
Bibliographic record
Abstract
Whole‐turf transplantation is a restoration method used to restore plant communities within disturbed arctic environments. Transplant expansion and restoration success is often determined based on aboveground characteristics, and to our knowledge, this is the first investigation of belowground expansion from transplanted turfs. In this growth chamber experiment, turfs harvested from undisturbed tundra near Rankin Inlet, Nunavut, Canada, were exposed to fertilized and unfertilized substrates to determine the effect of adjacent nutrient‐enrichment on plant community composition within the turfs and substrates, as well as above and belowground biomass and expansion. Next‐generation sequencing was used to determine the species identity of expanding roots. Our results show that fertilization of substrates surrounding tundra transplants did not alter the community composition of the turfs, but did increase biomass and expansion, as well as biological soil crust cover on the adjacent substrate. Belowground biomass far exceeded aboveground, revealing the importance of evaluating belowground roots and rhizomes that dominate the vegetative biomass within arctic ecosystems. Investigation of belowground development is likely to provide holistic interpretations of restoration success and should not be ignored in future transplantation studies.
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 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) | 0.007 | 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".