Geographic allozyme variation in Atlantic white-cedar,<i>Chamaecyparis thyoides</i>(Cupressaceae)
Bibliographic record
Abstract
Chamaecyparis thyoides (L.) B.S.P. is an important wetland tree species occurring along the Atlantic and Gulf Coasts of the United States. Substantial decline over the past two centuries has led to interest in the geographic pattern of genetic variation of the species, as it affects both restoration and ongoing management. We examined the extent and distribution of allozyme variation among 31 populations throughout the species' range. Averaged across populations, the mean number of alleles per locus (A) was 1.94, the effective number of alleles per locus (Ae) was 1.31, expected heterozygosity (He) was 0.16, and the proportion of polymorphic loci (P) was 63.6%. Significant population differentiation was apparent, with FST= 0.085. Using analysis of molecular variance (AMOVA), we were able to ascribe 6% of the total variation to differences between varieties. We identified three main geographical regions: (1) Atlantic Coastal, (2) peninsular Florida, and (3) Gulf Coast. Within the Gulf Coast region, three subregions are apparent: central Florida panhandle, western Florida panhandle, and Mississippi. This geographic pattern may have resulted from three or more separate Pleistocene glacial refugia and suggests that propagules for regeneration and restoration activities should not be moved out of their region of origin.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".