Leaf area allometrics and morphometrics in baldcypress
Bibliographic record
Abstract
Leaf area relationships are important physiologically and ecologically but are not well studied in baldcypress (Taxodium distichum (L.) Rich. var. distichum). Tree leaf area (LA) and leaf area index (LAI) were measured in a wetland in southern Louisiana by dissecting crowns of felled trees and by scaling stand-level measurements with allometry. Branchlet morphology ranged from flat and open with high specific leaf area (87.2 ± 30.7 cm2·g−1; mean ± SD) to scaled with appressed leaves and low specific leaf area (22.1 ± 11.6 cm2·g−1). Leaves were more appressed higher in the canopy. Tree LA was strongly related to sapwood basal area (SBA), and SBA was related to diameter; these allometric relationships enabled estimating LA from diameters. At the plot level, LAI estimated by allometric relationship (ranging from 1.8 to 10.2) was not linearly related to output from an optical canopy analyzer measuring light extinction; ratios of allometric to optical methods were 0.8 for the sparsest plot and 2.4 for the densest plot. LAI was less in deeper flooded plots (3.6 ± 0.6) than in transiently flooded plots (8.4 ± 0.6), but it is unclear whether this represents a difference in maximum LAI or delayed attainment of maximum LAI in lower areas.
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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 | 0.001 | 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) | 0.001 | 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 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".