Phylogeography provides an evolutionary context for the conservation of a diverse and ancient flora
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Phylogeography can inform conservation strategies through assessment of genetic diversity that incorporates an evolutionary perspective, and allows evaluation within a geographical context, thus providing integration with other biogeographical information. Comparative phylogeography can identify significant historical processes that have had major influences on the biota and provides a historical context for understanding current species distributions. The phylogeographic patterns in the flora of south-western Australia are reviewed. Concordant patterns of lineage divergence in three unrelated taxa from separate families with widespread distributions indicate a common response to major historical processes involved in Pleistocene climatic fluctuations. Identification of highly divergent haplotypes in some species indicates areas that may represent refugia during times of climatic instability. Analysis of phylogeographic patterns in the flora of south-western Australia has revealed the influence of historical climate change in promoting high phylogenetic diversity within species that is comparable to the high species diversity that is well known in the Western Australian flora. Knowledge of historical influences and species responses provides an evolutionary context for conservation management strategies that facilitate the continued action of dynamic evolutionary processes.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 it