Spatial and temporal stand dynamics of mature lodgepole pine forests of the Canadian Rocky Mountains
Bibliographic record
Abstract
In forest ecosystems, structure and species composition change over time as a function of ageing and minor disturbances and it is important to understand these changes for predicting forest productivity and habitat suitability for other plant and animal biota. Disturbances play a major role in controlling these changes and in many forest ecosystems disturbance regimes have recently changed due to either the influence of climate or human management. The reduced fire frequency and recent mountain pine beetle (MPB) outbreak in lodgepole pine forests of Alberta are a good example of such changes. These forests were historically characterized by relatively frequent stand-initiating disturbance but previous studies have recognized a variety of post-fire successional pathways. We have a limited understanding of the pattern and underlying processes of stand dynamics of these forests, particularly in mature forests as they proceed towards the canopy breakup stage. To better understand the dynamics of both the understory and overstory communities of mature lodgepole pine forest I used data from spatially explicit long term permanent plots in the Rocky Mountains of Alberta, Canada to determine the mechanisms or processes responsible for the observed patterns in community composition and structure as well as how these patterns changed in time. I also used dendrochronology to reconstruct the timing of establishment and disturbance history to assess how they influenced stand dynamics. I first assessed whether canopy closure led to the homogenization and convergence of understory communities and if the processes spatially structuring these communities changed during stand development. I also assessed what was driving mortality of lodgepole pine trees and if mortality in different canopy positions was affected by different processes. Finally I assessed which factors were influencing the establishment and survival of regeneration throughout stand development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".