Reduced Genetic Diversity and Increased Dispersal in Guigna (<i>Leopardus guigna</i>) in Chilean Fragmented Landscapes
Bibliographic record
Abstract
Landscape fragmentation is often a major cause of species extinction as it can affect a wide variety of ecological processes.The impact of fragmentation varies among species depending on many factors, including their life-history traits and dispersal abilities.Felids are one of the groups most threatened by fragmented landscapes because of their large home ranges, territorial behavior, and low population densities.Here, we model the impacts of habitat fragmentation on patterns of genetic diversity in the guigna (Leopardus guigna), a small felid that is closely associated with the heavily human-impacted temperate rainforests of southern South America.We assessed genetic variation in 1798 base pairs of mitochondrial DNA sequences, 15 microsatellite loci, and 2 sex chromosome genes and estimated genetic diversity, kinship, inbreeding, and dispersal in 38 individuals from landscapes with differing degrees of fragmentation on Chiloé Island in southern Chile.Increased fragmentation was associated with reduced genetic diversity, but not with increased kinship or inbreeding.However, in fragmented landscapes, there was a weaker negative correlation between pairwise kinship and geographic distance, suggesting increased dispersal distances.These results highlight the importance of biological corridors to maximize connectivity in fragmented landscapes and contribute to our understanding of the broader genetic consequences of habitat fragmentation, especially for forest-specialist carnivores. ResumenLa fragmentación del paisaje es una de las principales causas de extinción de especies debido a que afecta una amplia variedad de procesos ecológicos.El impacto de la fragmentación varía en las distintas especies dependiendo de diversos factores, como las características de historia de vida y la capacidad de dispersión.Los felinos son uno de los grupos más amenazados por la fragmentación del paisaje debido a sus extensos ámbitos de hogar, conducta territorial y baja densidad poblacional.Estudiamos los impactos de la fragmentación del hábitat sobre los patrones de diversidad genética
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 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".