The consequences of mating system and dispersal potential on the genetic structure of leaf-inhabiting bryophyte metapopulations in a fragmented Amazonian landscape
Bibliographic record
Abstract
Patch size and connectivity are the main predictors of population demographic and genetic stability. Habitat fragmentation continues at unprecedented rates justly affecting plant functional connectivity worldwide. However, few terrestrial plant groups have sufficiently foreshortened generation times in which to empirically disentangle the demographic and genetic consequences of reduced patch size and connectivity. Herein, we combine evidence from long-term (15 yr.) population censuses of two epiphyllous bryophytes and population genetic estimates in an experimentally fragmented Amazonian landscape to create a profile of the eco-evolutionary impacts of reduced habitat connectivity. Single nucleotide polymorphisms (SNPs) derived from Genotyping by Sequencing were used to analyze genetic patterns among fragmented (1-, 10- and 100-ha) and continuous forests. In the context of the world’s most diverse biome, fragmentation induces marked effects on plant population demography and genetic differentiation. Declines in colonization events in small patches (1- and 10-ha), associated with reduced colony densities, led to accelerated genotypic differentiation (genetic drift) compared to 100-ha fragment and continuous forests. Furthermore, the mating system was related to differential sensitivities to the intensity of fragmentation. Unexpectedly, the unisexual species (hypothesized to be more challenged in terms of spore output) was characterized by higher migration rates among smaller patches than its bisexual counterpart. These results point to the complex and unpredictable patterns revealed when life history strategies, demography, and plant genetic structure are simultaneously evaluated in the context of the long-term effects of reduced landscape connectivity.
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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".