Life History of Millepora Hydrocorals New Ecological and Evolutionary Perspectives from Population Genetic Approaches
Bibliographic record
Abstract
Evaluating life history of species carries important implications for conservation biology. A total of 3651 colonies of the fire coral Millepora platyphylla was measured, georeferenced and collected in 5 different habitats in Moorea to evaluate the biological and ecological context of the population maintenance and renewal. This thesis has demonstrated that the population structure of this species varies greatly between lagoonal and fore reef habitats. Using newly developed microsatellite markers, we have shown that M. platyphylla relies heavily on clonal reproduction via fragmentation (80%) and that the fragments are distributed in perfect alignment with wave energy dispersal. Clonal lineages with clones shared among habitats revealed the ability of a single genotype to express different phenotypes depending on its exposure to swell wave energy. Surprisingly, M. platyphylla invests in a vulnerable morphology to wave-induced breakage in high energy reef habitats. Furthermore, parentage analysis revealed a high contribution from self-seeding (58%), limited dispersal of sexual propagules and sibling aggregations. At last, we have demonstrated intracolonial genotypic variability, mostly from somatic mutations (mosaicism), which creates novel genetic diversity within the population. The interaction of these processes generates a high level of genetic and phenotypic variation within the population and allows for local replenishment and the persistence of this fire coral species in Moorea, a marginal habitat. These life history strategies thus increase the adaptive potential and resilience of M. platyphylla in response to rapid and unpredictable environmental changes.
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 | 0.001 | 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 | 0.000 |
| 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".