Biogeography, timing, and life‐history traits in the PPAM clade: Coleanthinae (syn. Puccinelliinae), Poinae, Alopecurinae superclade, Miliinae, and Avenulinae and Phleinae (Poaceae, Pooideae, Poeae)
Bibliographic record
Abstract
Abstract We conducted a biogeographic analysis of the PPAM clade of Poeae Plastid DNA Group 2, which includes 12 subtribes of C3 grasses. One hundred and eighty‐four species sampled represent 42 of 43 accepted genera and taxonomic diversity in large genera. We analyzed plastid sequences of matK, trnC‐rpoB, and trnT‐trnL‐trnF using BEAST to produce a dated tree and MrBayes to produce a Bayesian tree, on which we ran Bayesian‐Binary‐Markov‐Chain analyses on a worldwide biogeographic data set of 12 areas. PPAM split in southwestern Asia into subtribe Coleanthinae and PAM clades in the Early Miocene. PAM diversified rapidly in the Middle Miocene in southwestern Asia into four monogeneric lineages, Avenulinae, Phleinae, Miliinae, Poinae, and the Alopecurinae superclade (seven subtribes with 27 genera). In the Late Miocene, Pliocene, and mostly Pleistocene, the latter four lineages diversified and dispersed across Eurasia and established in North America. Dispersals to the southern hemisphere occurred in the Pliocene and Pleistocene. Annuals occur in 15 Mediterranean and southwestern Asia genera, but in few genera in other regions. Beyond phylogenetically isolated annual species dating to the Miocene, all other annuals evolved in the Pliocene and Pleistocene. Cold tolerance is high among perennial species, many occurring in the alpine, nine genera ranging into the Arctic. We suggest that alpine and subalpine habitats were ancestral. High tolerance of saline and alkaline conditions arose between the Pliocene and Pleistocene in Coleanthinae, Alopecurinae, Poinae, Hookerochloinae, Beckmanniinae, and Arctopoa. Combinations are proposed for Cornucopiae alopecuroides in Alopecurus and for Paracolpodium colchicum in Hyalopodium. A nothogenus × Catanellia is proposed for Catabrosa × Puccinellia.
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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 | 0.000 |
| 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".