REVIEWS REVIEWS REVIEWS Sugar maple and nitrogen cycling in the forests of eastern North America
Bibliographic record
Abstract
Sugar maple (Acer saccharum) is the most dominant and widely distributed tree species of the northern hardwood forests of the northeastern US and southeastern Canada. Recent studies have shown that sugar maple is also a unique and critical species with regard to nitrogen cycling in forest ecosystems, because forest stands dominated by sugar maple tend to have high rates of nitrification and nitrate leaching to surface waters. In some areas, sugar maple populations may be increasing due to reduction of one of their main competitors, American beech (Fagus grandifolia). However, several factors threaten populations of sugar maple in the near future, including acid deposition, climate change, and the introduction of a new insect pest. Changes in the abundance of sugar maple could lead to major alterations in nitrogen retention by forested watersheds in eastern North America. Front Ecol Environ 2004; 2(2): 81–88 In eastern North America, the glow of a sugar maplecovered hillside in full autumn color is an unforgettable sight. Sugar maple (Acer saccharum) (Figure 1) is one of several major tree species of the northern hardwood forest, along with American beech (Fagus grandifolia), yellow
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.006 |
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".