Pedodiversity in an old-growth northern hardwood forest in the Huron Mountains, Upper Peninsula, Michigan
Bibliographic record
Abstract
We investigated three primary causes of old-growth forest pedodiversity imposed by top-down trophic interactions, including pit and mound topography from past tree fall events, current canopy gaps from tree falls, and the influence of individual tree species on soil properties and processes. In this paper, we discuss the effects of pits, mounds, gaps, and individual tree species on pedodiversity in a single soil map unit in an old-growth northern hardwood forest. Pits and level areas had significantly greater soil organic matter, cation-exchange capacity, and exchangeable K and Ca contents than mounds. Gap subplots had significantly less cation-exchange capacity, K, Mg, and Ca compared with level areas within the contiguous forest. Base cations (K, Mg, and Ca) were significantly greater under sugar maple ( Acer saccharum Marsh.) compared with eastern hemlock ( Tsuga canadensis (L.) Carr.). Extractable P was significantly greater under yellow birch ( Betula alleghaniensis Britt.) compared with eastern hemlock. We quantified pedodiversity in an old-growth northern hardwood forest stand and single soil map unit using principal components analyses, ArcGIS, and biodiversity indices. Our results suggest that pedodiversity should be considered in soil survey and forest management.
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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 | 0.000 |
| 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) | 0.000 | 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 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".