Bibliographic record
Abstract
The Great Lakes forest region is a bioclimatic zone between the northern boreal forest and the eastern deciduous forest of North America. Relatively warm, dry conditions prevailed during the first half of the Holocene, at which time pines (Pinus spp.) and oaks (Quercus spp.) were more prominent than during the second half. The contemporary Great Lakes forest is dominated by sugar maple (Acer saccharum Marsh.) on optimum sites but almost 50 other tree species occur over the spectrum of sites and disturbance regimes encountered throughout the region. Although gap-phase regeneration typifies the undisturbed forest, wildfire and destructive windfall, due to downbursts, are not uncommon. The incidence of forest fire is lower than that in the boreal zone, and the incidence of windfall is lower than that of the deciduous forest to the south and east. Age-structure reconstruction points to the fire-related origin of many Pinus- and Quercus-dominated forests. Paleoecological and neoecological evidence indicates subsequent succession to dominance by either eastern hemlock (Tsuga canadensis (L.) Carr.) or to sugar maple. However, it seems that these shade-tolerant forests remain stable over millennia, even though they may occupy similar sites. Species composition changes only after catastrophic disruption and death of the original cohort. The old-growth stage has been identified by features linked to forest stand age, including a heterogeneous physiognomy, high biomass, high woody necromass, and high species diversity. Assessment of each feature along chronosequences of forests dominated by eastern white (Pinus strobus) and red pine (Pinus resinosa Ait.) yielded a more complicated picture. Productive sites led to forests of much taller stature and earlier canopy breakup than on poor sites. Standing woody biomass aggraded to 120150 years and subsquently declined on all but the most productive sites, where it continued to increase with stand age. Snag volume tended to peak in the 90- to 125-year age range with subsequent decline. On the forest floor, coarse woody debris accumulated in a pattern similar to that of aboveground woody biomass. Plant species diversity was linked to the heterogeneity of substrata, much of which was attributed to woody necromass. These features persisted as legacies from stand growth before forest fire. Consequently, plant species diversity showed no correlation with postdisturbance stand age. The need to adopt a more dynamic view of the distribution and abundance of the Great Lakes forest flora is exemplified by the conservative understorey perennial, ground ginger (Asarum canadense L.) and cryptogamic epiphytes that indicate the continuity of old-growth forests with time. Key words: diversity, downbursts, fire, Holocene, necromass, old-growth criteria, pine chronosequence, site relations, succession.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.009 |
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; both teacher heads agree on what is shown here.
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".