Fire in the Arctic: The effect of wildfire across diverse aquatic ecosystems of the Northwest Territories
Bibliographic record
Abstract
The southern Northwest Territories (NWT) experienced an unprecedented fire season in the summer of 2014. Burned areas were spread across more than 3.4 million hectares of land. The areas covered a landscape with a range of permafrost coverage, vegetation types, and previous fire history. We studied the way that wildfire affects the chemistry of water flowing from land to streams and how stream ecosystems function. Three factors were looked at: 1) soil pore water in burned and unburned plots of land in watersheds near Fort Simpson (on the Taiga Plains); 2) the chemical composition of water flowing out of streams, using repeated measurements in paired burned and unburned watersheds in the Taiga Plains (Fort Simpson area) and Taiga Shield (Yellowknife area); and 3) a broad survey of 50 streams whose watersheds had, or had not, been affected by wildfire. Soil pore waters were clearly affected by wildfire. However, the difference between the paired burned and unburned watersheds was small and somewhat short-lived. Across the 50 streams that were surveyed, wildfire was just one of many landscape variables that affected water chemistry. These results show that the effects of wildfire on stream water chemistry in this region may be relatively short-lived. Over longer time scales, the effects of wildfire may be similar to other landscape factors.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".