Mineralization Potential and Temperature Sensitivity of Soil Organic Carbon under Different Land Uses in the Parkland Region of Alberta, Canada
Bibliographic record
Abstract
The temperature sensitivity of soil organic C contained in different particle‐size fractions is important in the context of global climate change but to date has been poorly studied. We compared the effects of temperature (7, 14, and 21°C) on C mineralization rates in fractionated soils from four land use systems [agriculture, AG; plantation; grassland, GRA; and native aspen ( Populus tremuloides Michx.) stand, NAT] in the parkland region of Alberta, Canada, over a 370‐d laboratory incubation. Carbon was largely held in the fine (<53 μm) fraction (59%), followed by the medium (53–250 μm, 31%) and coarse (250–2000 μm, 10%) fractions. Across land uses and incubation temperatures, the amount of C mineralized from bulk soil over 370 d ranged between 2 and 9% of initial total organic carbon (C i ), with mineralization rates based on per unit of C i ranging from 0.4 to 5.8 × 10 −4 mg C mg −1 C i d −1 and mean residence times (MRTs) ranging from 15 to 65 yr. Of the total amount of C mineralized, 77, 14, and 9% came from the coarse, medium, and fine fractions, respectively. The temperature sensitivity ( Q 10 ) of organic C under NAT increased with decreasing particle size, while plantation‐ and GRA‐derived soil organic C showed significantly greater Q 10 in the medium and fine fractions only. We conclude that the mineralization potential and temperature sensitivity of soil organic C in the studied land use systems were controlled mainly by organic matter quality and physical protection provided through aggregation and adsorption.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".