Simulation of the Effects of Various Mixing Proportions on NPP and Carbon Storage in the Mixedwood Plantations of Phoebe bournei with Chinese fir
Bibliographic record
Abstract
Using forest ecosystem model FORECAST,the net primary productivity( NPP) and forest carbon storage in the mixture of Phoebe bournei with Chinese fir were simulated with various management scenarios including different site qualities and mixing proportions( 5 ∶ 1,4 ∶ 1,3 ∶ 1,1 ∶ 1 and 1 ∶ 3 between Phoebe bournei and Chinese fir) over the simulation period of 300 years.The simulations suggested that the total cumulative carbon storages in both stem and above-ground forest components were the greatest with the mixing proportion of 3 ∶ 1.The soil carbon storage in the pure Phoebe bournei forest and the Phoebe bournei-Chinese fir mixed forests with mixed proportion of Phoebe bournei being higher than 1 ∶ 1 was on the increasing trend over the simulation period of 300 years,while those in pure Chinese fir forest and the Phoebe bournei-Chinese fir mixed forests with the mixed proportion of 1 ∶ 3 was on the decreasing trend.Compared with those in low quality sites,the carbon storages in high quality sites were higher.It might be concluded that the best mixed proportion of Phoebe bournei with Chiense fir is 3 ∶ 1,which is beneficial for sustaining or improving soil carbon storage in the long run.
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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 | 0.001 |
| 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) | 0.000 | 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".