Lodgepole pine site index in relation to synoptic measures of climate, soil moisture and soil nutrients
Bibliographic record
Abstract
Lodgepole pine site index was examined in relation to synoptic measures of topography, soil moisture, and soil nutrients in Alberta. Data came from 214 lodgepole pine-dominated stands sampled as a part of the provincial permanent sample plot program. Spatial location (elevation, latitude, and longitude) and natural subregions (NSRs) were topographic variables that might be considered as synoptic measures of climate. Soil moisture regimes (SMRs) were used as synoptic measures of soil moisture supply. Soil nutrient regimes (SNRs) were used as synoptic measures of soil nutrient supply. Simple measures of geographic location (elevation, latitude, longitude) carried the most predictive power, explaining between 33% and 37% of the variation. Site index decreased with elevation, increased with latitude, and had a quadratic relationship with longitude. The Lower Foothills NSR had higher site index (16.1 m) than the Upper Foothills (14.0 m), Montane (11.8 m) and Subalpine (10.3 m) NSRs. Soil moisture regime variables were not significant. Soil nutrient regime variables were also not important, although one was significant in conjunction with elevation, latitude, and longitude (41% explained variation). Standard errors of estimate ranged between 2.64 and 2.94 m for the various synoptic models. Interaction terms between synoptic variables were examined but were found to be non-significant. Key words: site index, climate regime, soil moisture regime, soil nutrient regime, Pinus contorta
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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".