Testing technosols over an ultramafic gradient for rehabilitation of diamond mine wastes in a subarctic region
Bibliographic record
Abstract
Subarctic regions are recognized as one of the largest remaining pristine landscapes on earth, but are currently experiencing progressive degradation due to human activity. Mining and site rehabilitation in northern regions can be challenging largely due to the remote location of these developments. Rehabilitation is often restricted to using local mine waste materials to construct technosols. This study focused on how mines in northern regions, specifically the isolated De Beers Victor Diamond Mine, can use local mineral mine waste material to manufacture successful soil covers. Specifically, our research focused on examining the performance and success of technosols across a gradient increasing in serpentine characteristics. The objectives of the study were to, (1) determine how technosols increasing in serpentine characteristics influence vegetation establishment and microbial activity, (2) determine how the quantity of peat influences vegetation establishment and microbial activity, and (3) determine how early physical and chemical characteristics, and early plant colonization on our technosols compare to a local natural environment undergoing primary succession. We constructed a factorial experiment on two areas of mine waste at the Victor Mine, the waste rock dumpsite, and a processed kimberlite storage facility. Three test blocks were constructed on each site comprising a total of 48 5 m x 5 m experimental plots with four mineral substrate mixtures, and two levels of peat application. Mixtures consisted of various combinations of coarse and fine processed kimberlite, a silty loam marine overburden, and 20% or 40% peat, creating a gradient with ultramafic, serpentine characteristics. Each plot was fertilized at a rate of 12.5 g m-2 (NPK 8-32-16), inoculated with a microbial inoculation ‘tea’ mixture, and seeded with a variety of native vegetation. Various early physical, \niv \nchemical and biological characteristics were examined, including early plant colonization and microbial activity. To measure microbial activity, a 7-day aerobic soil incubation experiment was preformed in growth chambers, with and without the addition of glucose, where CO2 respiration rate was the only parameter examined. The results indicated that mixtures increasing in serpentine characteristics resulted in decreased vegetation establishment and microbial activity in the short-term, while the mixtures that were non-serpentine (100% overburden-peat) were the most successful for vegetation establishment and potentially short-term microbial activity. However, most differences between our mixtures were minor. Differences in quantity of peat were minor between our experimental mixtures, causing them to have no influence on the vegetation establishment between our mixtures, and only minor differences in microbial activity between our mixtures. Our technosols shared similar physical and chemical aspects with the early successional Attawapiskat River floodplain environment, and also shared similarities with a peat-overburden mixture currently being used to rehabilitate a stockpile at the Victor Mine. These early similarities could show their potential for success during mine rehabilitation. Our research provides insight into challenges associated with rehabilitation of subarctic environments and, in general, mine waste substrates. This research will provide the De Beers Victor Mine with suggestions for rehabilitation upon closure, and will provide them with information on challenges they may face if incorporating processed kimberlite into technosols.
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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 | 0.001 | 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".