The Redistribution of Soil Organic Carbon and Nitrogen and Greenhouse Gas Production Rates During Reservoir Drawdown and Reflooding
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Approximately 50% of the carbon (C) stored in forest ecosystems, on a global scale, is located in the boreal forest. Inundating boreal forest soil, for hydroelectric power production, changes soil organic matter decomposition and C transformation. Soil from three reservoirs, differing in their vegetative composition and soil organic C (SOC) stock, was collected at the Experimental Lakes Area, Canada, and incubated under drawdown and reflooded conditions. Soil organic C and soil total N concentrations (g kg−1) and soil δ13C and δ15N (‰) were significantly different (P < 0.05) between soil horizons within each reservoir. After 5 years of episodic flooding, there was a significantly greater SOC and N stock in the reservoirs compared with undisturbed soil. Flooding also resulted in a redistribution of SOC and N within the soil profile. CO2 and CH4 production rates were significantly greater when the soil was reflooded, and the highest CO2 and CH4 production rates came from the LFH horizons compared with a charred layer and the mineral soil. Although flooding led to the redistribution and a greater accumulation of SOC and N in the charred and mineral soil layers compared with undisturbed soil, the CO2 and CH4 production rates were lower from this part of the soil profile compared with the LFH layers. This suggested that the redistributed organic material was of lower quality compared with that of the LFH horizons.
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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 | 0.001 | 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 | 0.001 | 0.002 |
| 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 it