Report on the observed climate, projected climate, and projected biodiversity changes for Banff National Park Of Canada under differing levels of warming
Bibliographic record
Abstract
Banff National Park is among the top 25% of all non-marine protected areas, globally. As a park with varying topography, the higher elevations are relatively resilient to climate change, even with higher levels of warming. However, the lower elevations, along the main watercourses are more exposed to climate change and face more adaptation challenges. Averaged over the entire area, with 4°C warming (global, above pre-industrial), the area is projected to remain climatically suitable for 66.9% of its terrestrial biodiversity (fungi, plants, invertebrates, and vertebrates), with 30.5% of its area remaining an overall refugia (remaining climatically suitable for >75% of the species) for biodiversity. However, if warming levels were held to 2°C, 73.4% of the area would remain a climatic refugia and the area would remain climatically suitable for 86.6% of its terrestrial biodiversity. Between 1961-1990 and 1991-2020 the average monthly temperature has increased by -0.5° (October) - +1.9°C (January). With warming levels of 2.0°C the new average monthly temperature is equivalent to that only seen 1 in 3 years in 1961-1990 for April-October (up to 1 in 20 years for July). Half of the months have seen increases in precipitation (March-June) with the rest seeing declines. Models project that most months will become wetter except for July-September. These changes in precipitation, accompanied by warmer weather, suggest a potential increase in overall fire risk. The number of consecutive months classified as in severe drought has nearly doubled between 1961-1990 and 1986-2015. With 2°C warming (global, relative to pre-industrial) the number of months in severe drought is projected to double. Biodiversity adaptation options generally allow for business-as-usual conservation, especially at higher elevations, taking into account changes in extreme events (heat and severe drought). However, lower elevation areas would need increasing levels of adaptation effort, especially with warming levels of 2°C and above.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".