The Flora and Vegetation of Timber Island, Lake Winnipesaukee, New Hampshire, U.S.A
Bibliographic record
Abstract
The vascular flora of Timber Island, the largest undeveloped island in Lake Winnipesaukee, New Hampshire, was surveyed, and a vegetation analysis conducted. The island was found to have 187 vascular plant species, none of which are listed as rare or endangered for the state. The combination of tree species found throughout Timber Island indicates a forest type characteristic of the Central New Hampshire region. In the vegetation analysis, abundance and frequency data were recorded from 106 study plots and analyzed using a two-way indicator species analysis program (TWINSPAN). Six cover types (CT) were defined: Pinus strobus–Gaylussacia baccata CT, Fagus grandifolia–Ostrya virginiana CT, Pinus resinosa–Gaylussacia baccata–Vaccinium angustifolium CT, Tsuga canadensis CT, Acer rubrum–Dulichium arundinaceum CT, and Ruderal CT. Two additional cover types were recognized through qualitative field observation alone: Shoreline CT, and Vernal Woodland Pool CT. While not included in the floristic analysis, twenty-four bryophyte species were documented on the island, 15 of which are new records for Belknap County. A modified Line Intercept Analysis, employed to quantify ground cover, showed that herbaceous plant and bryophyte cover was sparse (7% each), with duff and leaf litter covering 74%, exposed rock outcrop 8%, vernal pools 3%, and 1% disturbed or bare soil. Soil analysis revealed a weak correlation with cover type. Two indices of similarity, Sørensen's Index and the Simple Matching Index, were utilized to compare the vascular plant flora of Timber Island to three other island floras in Lake Winnipesaukee: Rattlesnake Island, Bear Island, and Three Mile Island. Sørensen's Index showed a 50.0% similarity with Bear Island, 51.1% with Rattlesnake Island, and 52.7% with Three Mile Island. The Simple Matching Index showed higher levels of similarity: Bear Island, 51.66%; Rattlesnake Island 59.51%; and Three Mile Island 65.59%.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".