Reorganization of tree assemblages over the last century in the northern hardwoods of eastern Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Question How has European settlement of Eastern North America modified tree species assemblages? Location The northern temperate forests of the Lower St. Lawrence region (Quebec, Canada). Methods Changes in relative prevalence of tree taxa were reconstructed with early land survey records (1821–1900) and modern forest inventories (1980–2010). Forest composition reconstructions were then used to analyse changes in tree taxa assemblages at the landscape scale and test for potential landscape homogenization. Results Our results show important maple ( Acer saccharum and A. rubrum ) and poplar ( Populus tremuloides and P. balsamifera ) encroachment, shifting from the 6th to the 2nd position of relative prevalence and from the 7th to the 5th position, respectively, resulting in a significant shift in tree assemblage. Maple has spread throughout the whole landscape and tended to become the most abundant taxon in communities where they were already present in pre‐settlement times. Poplar also widely spread throughout the landscape but rarely became the most abundant taxon. Accordingly, deciduous encroachment clearly engendered a spatial homogenization of composition at the landscape scale. Conclusion Considering that both red maple and trembling aspen are opportunist early‐successional species, the increased relative prevalence of both species, as well as the consequent reorganization of tree taxon assemblages and landscape homogenization, probably resulted from the regional convergence toward an early‐successional state. Along with the restoration of long‐lived shade‐tolerant conifer populations, land and forest managers should aim to increase the heterogeneity of forest stand composition to improve forests resilience to future global changes.
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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 | 0.001 | 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 | 0.000 | 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 it