Needle and branch biomass turnover rates of Norway spruce (<i>Picea abies</i>)
Bibliographic record
Abstract
Turnover rates of needle and branch biomass, number of needle cohorts, and needle-shed dynamics were modelled for Norway spruce (Picea abies (L.) Karst.) in southern Finland. Biomass turnover rates, vertical distribution, and biomass of the branches were modelled simultaneously. The rate of needle turnover was determined from needle-shed dynamics. The potential litterfall of branches was modelled by combining the vertical distribution of branch biomass and the annual change in height of the crown base. The mean annual turnover rates for needle and branch biomass are 0.10 and 0.0125, respectively. At the age of 5.5 years, 50% of the needles in the needle cohort have been shed. In addition, at the age of 12 years, all needles of the needle cohort have been shed. Turnover of branch biomass was dependent on stand density and tree size. The modelled rates of biomass turnover agreed with measurements of needle and branch litterfall. Many process- or inventory-based models use a single turnover rate for branch litterfall based on literature, and some of the models are fully ignoring the litterfall of branches. Species-specific turnover rates or dynamic litterfall models should be applied when carbon flows in forest stands are modelled.
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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 | 0.001 | 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 | 0.001 |
| 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".