Forest soil characteristics in a chronosequence of harvested Douglas-fir forests
Bibliographic record
Abstract
This study was designed to measure the microbiological and chemical characteristics of forest soils in a chronosequence of harvested Douglas-fir (Pseusotsuga menziesii (Mirb.) Franco) stands in different climatic settings. Mineral soil samples were collected along transects running from old-growth (OG) forests into harvested stands of ages 5, 15, and 40 years (5YS, 15YS, and 40YS, respectively) in the H.J. Andrews Experimental Forest in the central Oregon Cascade Mountains. We took litter depth measurements and cores to test for the presence of mycorrhizal mats at each sampling location. Denitrification potential was significantly lower in OG than in 5YS, and litter depth, forest floor respiration rate, and concentration of ectomycorrhizal mats were significantly greater in OG than in 5YS. Values were intermediate in 15YS and similar to those measured in OG in 40YS. No significant stand-age differences occurred in soil organic matter, soil moisture, pH, mineralizable N, laboratory soil respiration rate, or extractable ammonium. Sample variability was generally lowest in OG forests and highest in 5YS, and no consistent autocorrelations were observed for any of the variables at lags of 5 m or greater. We found no second-level interactions between stand age and location in ANOVA analyses, suggesting that, within the limits of this study, climate did not influence soil response to disturbance and subsequent recovery; however, several soil properties were affected by site location and, therefore, climate.
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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 | 0.000 |
| 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 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".