Population stage structure of Hawaiian endemic fern taxa of <i>Diellia</i> (Aspleniaceae): implications for monitoring and regional dynamics
Bibliographic record
Abstract
Single census data were used to investigate the stage structure within populations of the endemic fern genus Diellia in the Hawaiian Islands. Populations were classified as "dynamic" (sporelings predominate), "normal", or " regressive" (mature plants predominate). Six taxa were studied: Diellia erecta Brack., Diellia erecta f. alexandri (Hillebr.) W.H. Wagner, Diellia falcata Brack., Diellia mannii (D.C. Eaton) W.J. Rob., Diellia pallida W.H. Wagner, and Diellia unisora W.H. Wagner. There were significant differences between the population stage structures of different taxa. The populations of D. erecta f. alexandri, and D. unisora represented regressive cases. Diellia pallida was represented by two regressive and one dynamic local population. The status of local populations of D. erecta and D. falcata varied from dynamic to regressive. Diellia erecta f. alexandri, D. mannii, D. pallida, and D. unisora are probably near extinction. Variation in local population conditions of D. erecta, D. falcata, and D. pallida may represent the history of local colonization and subsequent extinction events. The regional dynamics of these taxa correspond with the metapopulation model, since pteridophytes have good dispersal ability, and recruitment of Diellia species takes place only in moist years and is influenced by local disturbances. We conclude that stage structure of local populations can indicate the regional dynamics of a species. All local Diellia populations have to be considered as priority candidates for future conservation efforts.Key words: conservation, Diellia, Hawaiian Islands, metapopulation, population stage structure, regional dynamics.
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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 | 0.001 |
| 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".