Marsh reclamation in the oil sands of Alberta: providing benchmarks and models of vegetation development
Bibliographic record
Abstract
A key objective of the Alberta oil sands industry is to reclaim the post-mined landscape to “equivalent land capability” (Harris 2007). Vitt and Bhatti (2012) proposed a restoration framework for boreal disturbances. They suggested that to increase chances of achieving ecosystem equivalency and sustainability, created sites must have 1) species composition similar to natural reference sites, 2) species performance based on natural benchmarks, and 3) ecological processes similar to reference sites. To provide reclamation benchmarks to which created marshes of the Fort McMurray region can be compared and reclamation practices adjusted, my work follows the rationale developed by Vitt and Bhatti (2012). In Chapter One, I provided an introduction to the major paradigms of community ecology. In Chapter Two, I identified, described and compared environmental and plant assemblage patterns present in different types of created and natural marshes. In Chapter Three, I examined the degree to which the addition of peat-mineral mix (PM) to different types of oil sands process materials (OSPM) affects C. aquatilis performance. I also tested the effects of oil sands process water (OSPW) on C. aquatilis performance. In Chapter Four, I defined and compared natural and created marsh zone area variation over time and identified abiotic factors that influence the patterns observed. My results revealed that created and natural marshes were characterised by distinct environmental conditions and that the vegetation composition of some created sites was dissimilar to natural reference sites. The addition of PM to OSPM significantly increases C. aquatilis survival, below and aboveground biomass. The use of OSPW significantly reduced C. aquatilis belowground biomass and affected its physiological performance. Amending created marshes with PM may enhance plant performance but its effect at the community level remains to be tested. Unlike natural marshes the total areas of created marshes were dominated by stable submersed aquatic vegetation zone (SAVZ) in all years. Mean maximum temperature and annual total snow were identified as the simplest ways to predict SAVZ area within natural marshes for a given year. The ratio of marsh area to volume described SAVZ area variation and provided prescriptive guidance for construction of reclaimed marshes.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".