Climate and Permafrost Dynamics of the Alaskan Boreal Forest
Bibliographic record
Abstract
There are large climatic differences among the boreal regions of the world. The extreme continental climates of central Siberia, with a mean annual temperature of –11°C or colder and precipitation of only 150 mm, for example, contrasts strikingly with the semicoastal climate of Newfoundland, with a mean annual temperature of +5°C and precipitation of 1400 mm. Yet both are considered boreal. This wide range in mean annual temperatures translates into large variation in the soil thermal conditions. Although much of the northern region of the boreal forest is underlain by continuous and discontinuous permafrost, southern regions are entirely permafrost-free. Boreal Canada has been classified into four major ecoclimatic provinces (Ecoregions Working Group 1989). The Subarctic Ecoclimatic Province extends from treeline in northern Canada south to the border with continuous stands of closed spruce. It ranges from the highly continental areas of northern Yukon Territory to the wetter and somewhat warmer regions of the Labrador Peninsula. The Boreal Ecoclimatic Province includes the main body of the boreal forests of Canada from the Mackenzie River east to Newfoundland. It is a complicated province that has been divided into High, Mid-, and Low Boreal, with a wide range of climate conditions. The Subarctic Cordilleran Ecoclimatic Province occurs only at higher elevations in western Canada. Forested areas in this region are usually restricted to valley bottoms or low, south-facing slopes. The Cordilleran Ecoclimatic Province includes the mountain ranges along the west coast and the continental divide from Montana to Alaska and from the Yukon River south to the boundary with the coastal forests. The boreal portion of this province has climates similar to that of the eastern section of the Interior Highland Ecoregion of Alaska (Fig. 2.3, Gallant et al. 1995). Alaska does not fit well into these Canadian ecoclimatic provinces because of differences in elevation, the effects of the two east-west-oriented mountain ranges (the Alaska and Brooks Ranges), and the coastal influences of the Bering Sea to the west and Cook Inlet to the south (Fig. 1.1; Hopkins 1959, Hare and Ritchie 1972). Hammond and Yarie (1996) separated Alaska into 35 ecoclimatic regions, of which nine include areas of boreal forest.
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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".