Dissolved organic carbon fluxes of seven watersheds in a bog forest ecosystem at Calvert Island, British Columbia, Canada
Bibliographic record
Abstract
Scientific report on catchment responses and organic carbon fluxes for seven rivers draining into Kwakshua Channel (Calvert Island, BC, Canada) for a summer and early fall rain event in 2014. The coastal temperate rainforest of western British Columbia is a major store of carbon and an important contributor to the global carbon cycle. The flux of dissolved organic carbon from wetland-dominated soils is of vital importance for coastal freshwater and marine ecosystems. The objective of this study was to investigate the relation between discharge, DOC concentration and organic carbon flux for seven wetland and bog forest dominated watersheds for a summer and early fall rain event. Stream water samples were taken along the rising and falling limb of the event hydrographs at the outlets of all seven watersheds and analyzed for DOC concentration. Stream DOC concentration increased along the rising limb and decreased back to a stable concentration under base flow conditions. The relation between discharge and flux of organic carbon was characterized by hysteresis; there was a delay in peak carbon flux compared to peak discharge for all studied watersheds. The amount of organic carbon exported over the course of a rain event was directly related to the fraction of rain exported as runoff. Total event organic carbon load for six out of seven watersheds was 233 kg km-2 for the summer event and 204 kg km-2 for the early fall event. The export of organic carbon per day was twice as high for the shorter and more intensive early fall event than the summer event. Recommended citation for the full published article: Korver, M.C., van Meerveld, H.J., Floyd, W.C., Waterloo, M.J.: Dissolved organic carbon fluxes of seven watersheds in a bog forest ecosystem at Calvert Island, British Columbia, Canada. VU University Amsterdam and Hakai Institute. MSc thesis extension, 2015.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".