Changes in landscape composition and stand structure from 19452002 on an industrial forest in New Brunswick, Canada
Bibliographic record
Abstract
Detailed 19441947 cruise data and maps were used to compare species composition, age-class distribution, and stand structure between 1945 and 2002, for a 190 000 ha industrial forest in New Brunswick, Canada. Softwood forest area in 1945 and 2002 was similar, at 40% and 42%, respectively, but mixed hardwoodsoftwood decreased from 37% to 18%, and hardwood increased from 10% to 25%. Forest management from 1945 to 2002 resulted in the forest (1) becoming younger, with 86% of the trees >70 years old in 2002 versus 44% in 1945, (2) becoming denser, with 100300 more stems per hectare and 47 m 2 /ha more basal area in 2002, and (3) having less balsam fir (Abies balsamea (L.) Mill.) 31%66% in 1945 versus 4%38% in 2002 of basal area for stands with >30% softwood. Management reduced balsam fir to lower mortality associated with spruce budworm (Choristoneura fumiferana (Clem.)) outbreaks. The area of old (≥70 years old, with ≥10 trees/ha ≥30 cm DBH) and large (≥70 years old, with ≥5 trees/ha ≥45 cm DBH) spruce-fir and mixedwood wildlife habitats decreased from 112 600 and 55 200 ha in 1945 to 8200 and 7200 in 2002, respectively, while hardwood habitat increased from 22 800 to 71 500 ha. Management increased timber production while maintaining similar softwood species composition, but altered age structure and areas of mixedwood and hardwood forest types.
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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 | 0.001 | 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 | 0.001 |
| 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 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".