Controls of Organic Carbon Storage for Vegetation Along Valley Floors, Kananaskis, Canadian Rockies
Bibliographic record
Abstract
The present study utilizes a field survey to investigate controls of organic carbon storage along valley floors in two steep, tributary drainage basins in a subalpine mountain environment, Kananaskis, Canadian Rockies. While terrestrial carbon remains one of the most uncertain components of the global carbon cycle, organic carbon storage along valley floors of small tributary basins has not been a focus of much previous research. Amounts of organic carbon storage in vegetation along valley floors is influenced by: (i) spatial organization of potential accommodation space associated with valley floors; and (ii) vegetation density. Field measurements show that valley floor widths are variable in the study basins, alternating between below-average, above-average and average values (in no particular order). Valley floor widths show an association with lithology and structural geology, such as folds and faults, in both study basins. Organic carbon density for vegetation is influenced by the availability of suitable substrate for vegetation growth. The availability of such substrate is controlled by deposition on valley floors resulting from mass wasting, debris flows, and floods. Together, the valley floor widths and organic carbon density result in significant variability in organic carbon storage along valley floors in the study basins. The 2013 flood in the Bow River drainage basin led to significant flood events and debris flow activity along tributary streams in Kananaskis. It is suggested that erosional and depositional activity along valley floors during this flood event may have killed significant amounts of vegetation and resulted in deposition of abundant, coarse-grained sediment (with the latter not being conducive to vegetation establishment). It is suggested that amounts of organic carbon storage associated with vegetation may have an underlying cyclicity that is driven by the episodic nature of geomorphic activity along valley floors resulting from recurring high magnitude hydroclimatic events.
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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 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".