Soil respiration dynamics in Cinnamomum camphora forest and a nearby Liquidambar formosana forest in Subtropical China
Bibliographic record
Abstract
Climate change can significantly affect carbon cycling of forest ecosystems.The diurnal and seasonal dynamics of soil respiration (Rs) in Cinnamomum camphora and Liquidambar formosana forests were investigated by using infrared gas exchange analyzer of Li-Cor 6400-09 each month in 2006.Soil temperature and moisture were also measured.Diurnal variations in Rs varied with daily soil temperature in the two forests.Across the growing season,soil respiration peaked on July 28 due to higher soil temperature and moisture conditions.Seasonal Rs variations were predominantly influenced by soil temperature.Seasonal soil respirations in C.camphora and L.formosana forests were strongly related to soil temperature (x) at 5-cm depth (Rs=0.1598e 0.1377x (R 2=0.9289,P=0.001) and Rs=0.2177e 0.0962x (R 2=0.927,P=0.000)),while annual mean Rs rate was 2.614 and 1.397 μmol m-2 s-1 and Q 10 values were 3.96 and 2.62 for the two forests,respectively.However,Rs was not influenced by seasonal changes in soil moisture (w) in the two forests in 2006.We developed two equations (Rs=-0.020w 2 +0.497w+0.562 (R 2=0.109,P0.05),Rs=-0.001w 2 +0.072w +0.731(R 2=0.053,P0.05)) to describe the relationship between Rs and soil moisture.A positive relationship between Rs and soil moisture were observed when soil moisture was below 12.43% and 18.00%,but when soil moisture exceeded threshold values of 12.43% and 18.00%,soil moisture became the restraint factor for Rs.Long-term observations of soil respiration and moisture are required to understand the temporal dynamics of soil respiration.
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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 | 0.001 | 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 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".