Seasonal dynamics of CO <sub>2</sub> exchange during primary succession of boreal mires as controlled by phenology of plants
Bibliographic record
Abstract
Vegetation succession in mires is rather well identified using the paleoecological approach. Recently, the ecological succession concept has been extended to ecosystem functions, e.g., carbon dioxide (CO2) dynamics. Although a strong link between mire vegetation and carbon dynamics is well acknowledged, the successional changes in mire ecosystem functions have remained practically unstudied, especially under the same climatic control. To study the patterns and dynamics of CO2 exchange during mire succession, we measured CO2 exchange and vegetation dynamics over 2 growing seasons along a mire chronosequence on the land uplift coast of the Bay of Bothnia in western Finland. The study showed a decrease in photosynthesis during mire succession that was linked to compositional change in vegetation, i.e., replacement of sedge and herb dominance with the dominance of dwarf shrubs and Sphagna. Similarly, the study revealed decreased variation in gross photosynthesis (PG) and ecosystem respiration (RE) over a growing season, which resulted in lower levels of seasonal CO2 dynamics at older stages. The observed successional trend in phenology and CO2 dynamics was largely a consequence of the gradual decrease in the abundance of plant groups with efficient photosynthesis and green area production.
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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) | 0.000 | 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 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".