Morphological characterization of a brown lemur hybrid zone (<i>Eulemur rufifrons</i> × <i>E. cinereiceps</i>)
Bibliographic record
Abstract
Hybridization has recently been identified as a pervasive force in the evolution of primates. In this study, we characterized a hybrid zone between two species of brown lemur (Eulemur rufifrons and E. cinereiceps) in the Andringitra region of southeastern Madagascar using morphological traits. We immobilized animals along a north-south transect (∼80 km), scored them for their degree of hybridity using pelage traits and measured standard morphometric variables. Results from our study suggest that hybridization between E. rufifrons and E. cinereiceps is extensive, with the hybrid zone extending over 42.6 km and being composed mostly of later generation hybrids. We also identified significant variation between ancestral groups in our study: hybrid males exhibited longer tails than both parental species and sexual dimorphism in upper canine height favoring males was documented in E. rufifrons. These patterns could suggest that gene flow between parental and hybrid populations is relatively limited. Finally, significant differences between ancestral groups in relative body mass and skin-fold thickness were absent in our study, indicating that, as measured by these proxies, hybrids are equally as fit as parental forms. Based on these preliminary findings, the Andringitra hybrid zone could conform to the bounded superiority model of hybrid zone stability (i.e., it could be being maintained by selection favoring hybrids within transitional habitats). Accordingly, hybrids in Andringitra may be an unusual case among primates, representing a stable recombinant but distinct lineage. This conclusion has important implications for evolutionary processes within the brown lemur species complex.
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 | 0.000 |
| 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".