Partitioning heterotrophic and rhizospheric soil respiration in a mature Douglas-fir (<i>Pseudotsuga menziesii</i>) forest
Bibliographic record
Abstract
Total belowground respiration (Rs) was partitioned into heterotrophic (Rh) and rhizospheric (Rr) respiration to determine the amount of CO2 originating from each component in a coastal Douglas-fir ( Pseudotsuga menziesii (Mirb.) Franco) forest. Rh was measured within cylinders from which roots, hyphae, and associated rhizosphere organisms were excluded by a 0.5 μm nylon mesh and installed 50 cm into the soil. Rs was 12 Mg C·ha–1·year–1 and ranged from 0.71 to 6.57 g C·m–2·day–1 during the 15 month experiment. Rh was 7.8 Mg C·ha–1·year–1, which contributed 65% of Rs, mostly between May and August. Rr was 4.2 Mg C·ha–1·year–1 (35% of Rs) and peaked in spring and fall. Soil temperature described the variability in Rs (p = 0.0004) better than soil moisture (p = 0.6156) and Rh was more closely related to temperature than was Rr. Values of Q10 were 1.7 for Rs and 2.2 for Rh. We also assessed three potential sources of error associated with this root-exclusion technique: respiration from decaying severed roots, stimulated respiration as a result of cylinder installation, and lateral diffusion of CO2 into cylinders. None of these artifacts were found to be significant sources of error in this experiment.
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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".