Diurnal Variations of Below‐Canopy CO<sub>2</sub> Concentration in a Subtropical Forested Valley
Bibliographic record
Abstract
Abstract CO 2 concentration was continuously measured at four levels in the below‐canopy layer of a subtropical evergreen broadleaf forest in Southeast China. The below‐canopy CO 2 concentration was higher during the day than at night at all levels, in contrast to many previous studies. The amplitude of the diurnal variation of the below‐canopy CO 2 concentration was controlled by the daily‐mean air or soil temperature. In the daytime, solar radiation heated the canopy layer more than the below‐canopy layer, so the below‐canopy layer became stable. Large vertical gradients of CO 2 concentration therefore developed near the ground surface. CO 2 concentration increased with stability when the stability was weak, because the increased stability suppressed the vertical turbulent mixing. On the contrary, CO 2 concentration decreased with stability when the stability was strong, because the strong stability was maintained by intense solar radiation, which enhanced photosynthesis. In the nighttime, radiative cooling of the canopy layer caused the below‐canopy layer to be near‐neutral or unstable. CO 2 concentration was therefore generally low and exhibited rather small vertical gradients. Nighttime CO 2 concentration slightly increased when the stability became stronger. It was frequently observed that CO 2 concentration rapidly decreased around the sunset from the peak value to a low value. Our results suggest that the storage term is important in the daytime eddy‐covariance measurements, and the CO 2 concentration above the canopy should be corrected in order to represent the CO 2 concentration below the canopy.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".