Migration Patterns of Epiphyllous Bryophyte Metapopulations in Amazonian Fragmented Landscape Inferred From Census and Genomic Data
Bibliographic record
Abstract
ABSTRACT Habitat fragmentation affects metapopulation dynamics by reducing patch (discrete area occupied by a local population) size and connectivity, but its long‐term genetic consequences are confounded by species‐specific traits and limitations of sequencing techniques. Studies of terrestrial plants with relatively short generation times, combined with high‐throughput sequencing, provide valuable insights into the demographic and genetic effects of land‐use change. We integrate long‐term censuses and genotyping data from epiphyllous bryophyte metapopulations in experimentally fragmented Amazonian forests. We focused on two bryophyte species with contrasting mating systems across 11 populations in small (1‐ and 10‐ha) and large (100‐ha and continuous) habitats. We aim to assess how long‐term reductions in colony numbers in small fragments affect population genetic diversity and differentiation compared to larger habitats. We also explore how species' mating systems influence migration patterns across forest sites, with bisexual species expected to exhibit a higher likelihood of sexual reproduction and spore output than their unisexual counterparts. Our results reveal contrasting patterns of genetic structure between the two species, with no consistent effects of forest fragmentation detected across the landscape. The bisexual species showed notably lower genetic diversity and slightly higher differentiation in small fragments, suggesting a non‐equilibrium metapopulation driven by limited migration. In contrast, the unisexual species exhibited minimal genetic impact from fragmentation, maintaining symmetrical migration among fragments regardless of size, indicative of patchy metapopulation dynamics. This study highlights how contrasting mating systems in epiphyllous bryophytes influence migration patterns and underscores the species‐specific responses to habitat fragmentation.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".