Simulated nitrogen dynamics for a Cunninghamia lanceolata plantation with selected rotation ages
Bibliographic record
Abstract
To show nitrogen dynamics for successive rotations of Cunninghamia lanceolata plantations with declining productivity and the affect on sustainable management,the FORECAST model was used to simulate 200 years of growth for Cunninghamia lanceolata plantations with different rotation ages in China.Results suggested that N uptake,N return to the soil,and foliar N content could increase with a longer rotation age.The model showed that soil available N decreased with a 25-year rotation age and then increased with longer rotation ages.With the medium site,the average soil available N was 96.24 kg·hm-2 for a 10-year rotation age,86.87 kg·hm-2 for a 25-year rotation age,and 96.07 kg·hm-2 for a 50-year rotation age;the average uptake N was 49.22 kg·hm-2 for a 10-year rotation age,58.44 kg·hm-2 for a 25-year rotation age,and 69.07 kg·hm-2 for a 50-year rotation age;and the average return of N to the soil was 26.75 kg·hm-2 for a 10-year rotation age,44.76 kg·hm-2 for a 25-year rotation age,and 60.74 kg·hm-2 for a 50-year rotation age.The recycled N ratios from the first four rotations were 0.544,0.766,0.847,and 0.879.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".