Habitat use and activity patterns of <i>Puma concolor</i> in a human-dominated landscape of central Argentina
Bibliographic record
Abstract
Habitat loss, poaching, and legal hunting are the main causes of decline in populations of pumas (Puma concolor) globally.We used camera trapping to assess the habitat use and daily activity patterns of pumas, and we identified the major factors affecting this species, in a human-dominated landscape in central Argentina.The intensity of habitat use by pumas was related positively to the presence of woodland, habitat complexity, and richness of wild prey.Pumas also avoided areas with a high concentration of ranches, indicators of more-intense human activity.Although some seasonal variation was detected in the activity patterns, pumas clearly preferred nighttime hours.We conclude that human-related factors strongly affect habitat use and activity of pumas in central Argentina's rangelands.La pérdida de hábitat y la caza ilegal y legal son las principales causas de la disminución de las poblaciones de puma a lo largo de su distribución.Aún cuando este felino se caracteriza por una gran plasticidad ecológica, los factores que afectan su supervivencia en áreas altamente modificadas por el hombre son poco conocidos.En este trabajo, se utilizó el trampeo fotográfico para determinar el uso de hábitat, el patrón de actividad del puma y los factores que pueden afectar a esta especie en un paisaje dominado por las actividades antrópicas en el centro de Argentina.La intensidad del uso del hábitat de los pumas fue favorecida por la presencia de bosque semi-cerrado, la complejidad de hábitat y la riqueza de presas silvestres.Además, los pumas evitaron las áreas con una elevada densidad de propiedades, la cual fue considerada como un indicador de una mayor actividad humana.Si bien se identificaron variaciones estacionales en el patrón de actividad, los pumas prefirieron claramente las horas nocturnas.Concluimos que los factores antrópicos parecen afectar fuertemente el uso del hábitat y los patrones de actividad del puma en un área ganadera del centro de Argentina.
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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 | 0.000 | 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) | 0.001 | 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".