Impact and mechanism of maintaining biomass stability in a temperate coniferous and broadleaved mixed forest
Why this work is in the frame
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Bibliographic record
Abstract
Aims Forest ecosystem changes with time in response to environmental fluctuations and disturbances, and the research on its stability and influence mechanism is conducive to maintaining ecosystem services.The temperate coniferous and broadleaved mixed forest is an important component of the global forest ecosystem.Therefore, we aimed to investigate the influence of overyielding, stand structure, species asynchrony and dominant species stability on the community stability of a temperate natural coniferous and broadleaved mixed forest and to clarify its main influence mechanism. MethodsIn this study, species richness, coefficient of variation of diameter at breast height (DBH), species asynchrony, and dominant species stability were used as independent variables, and community biomass stability, mean biomass and standard deviation of biomass were set as dependent variables, respectively.In this case, three structural equation models were constructed to quantify the relative size of the direct and indirect effects among all variables.Important findings (1) The structural equation model provides a good fit for the data and accounts for 40.6% of the community biomass stability changes.(2) Species richness was significantly negatively correlated with mean biomass and standard deviation of biomass, with the path coefficients -0.103 and -0.061, respectively.(3) The coefficient of variation of DBH was significantly negatively correlated with the community biomass stability and mean biomass, and the path coefficients were -0.123 and -0.097, respectively.(4) Species asynchrony was significantly positively correlated with the community biomass stability, mean biomass and standard deviation of biomass, and the path coefficients were 0.055, 0.085 and 0.055, respectively.(5) Dominant species stability was
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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 | 0.000 |
| 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 it