Genetic congruence with new species boundaries in the Melaleuca uncinata complex (Myrtaceae)
Bibliographic record
Abstract
Uninformed management decisions have the potential to create significant problems for conservation programs. In the south-western corner of Australia where conservation initiatives are directed towards restoring large tracts of land degraded by broadscale clearing and increasing levels of dryland salinity, Melaleuca uncinata R.Br. (Myrtaceae) is a species complex of considerable interest for restoration. Although M. uncinata is morphologically uniform across most of southern mainland Australia, there is considerable variation in south-western Australia and a recent morphological evaluation has recognised 11 species. Phylogenetic patterns among populations of seven of these species were examined with nuclear RFLP loci to determine whether morphological and phylogenetic boundaries were congruent before the implementation of any broadscale revegetation programs. The phylogenetic analysis was congruent with the morphological assessment, and populations of different species, including those co-occurring at the same site, clustered according to their correct morphological assignment. Some genetic structuring associated with habitat preference was also evident within two of the species. The taxonomic resolution and knowledge of the phylogenetic relationships among the seven species will facilitate their further assessment for issues relevant to revegetation, such as provenance and local adaptation. It will also enable selection of appropriate germplasm in revegetation programs to maximise the genetic adaptation in restoration and minimise negative impact of plantings on remnant vegetation.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".