Age structure of saplings in canopy openings of mature longleaf pine woodlands
Bibliographic record
Abstract
Research on sapling recruitment and age structure in mature longleaf pine ( Pinus palustris Mill.) woodlands is needed to inform silvicultural treatments that maintain or enhance stand structural diversity. To address this issue, we quantified sapling age structure within and across dense patches of longleaf pines that established from natural regeneration in canopy gaps of mature uneven-aged stands. We determined the age when trees emerged from the grass stage (i.e., effective age) of 475 saplings and then developed a diameter-age model to predict the ages of another 1606 saplings. We found that the interquartile range of sapling effective ages within patches was relatively narrow, averaging 4.8 years. This provides support for the commonly held view that longleaf pine sapling patches are even-aged. We also found that there were significant differences in mean sapling effective age among patches. The means for sapling patches ranged from 20.8 to 25.9 years. Cone crop and prescribed fire records provided further support to there being multiple years in which different locations across our study area were regenerated to longleaf pine. Stands with sapling patches that have a range of mean ages could enhance stand structural diversity, which could have the co-benefit of meeting wildlife habitat objectives.
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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 | 0.001 |
| 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) | 0.000 | 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 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".