Diversidad de escarabajos necrófilos (Coleoptera: Scarabaeidae, Silphidae, Staphylinidae y Trogidae) en una región semiárida del valle de Zapotitlán de las Salinas, Puebla, México
Bibliographic record
Abstract
Mexico is constituted of arid and semiarid areas in more than half of its land extension, where most of their resources are available only during the rainy season. For those species that recycle resources, such as the carrion fauna, this represents a highly active season; however, the biological and diversity patterns of carrion fauna are poorly understood in these areas. Here, we studied the abundance, diversity and richness of the Scarabaeidae, Silphidae, Staphylinidae and Trogidae families in the Zapotitlán de las Salinas Valley in Puebla, Mexico. Over a one-year period, monthly samples were collected from five different vegetation systems that included the scrublands, a columnar cactus landscape, and altered vegetation. Samples were collected with the use of NTP-80 traps baited with squid, and data on abundance and richness were obtained and evaluated, with respect to monthly precipitation and sampling site location. We collected a total of 613 insects from 12 genera and 15 species. Across systems, Staphylinidae showed the greatest richness (nine species) and abundance (74.2%), followed by Scarabaeidae (21.9%), Silphidae (2.9%) and Trogidae (1%). Significant differences were observed between sites and months; nevertheless, no relationship was observed between abundance and temperature or precipitation. Across taxo- nomic groups, abundance and richness were most evident for scrub sites, while a greater abundance during the dry season was obtained. The results of this study indicated that the carrion faunal community composition is closely related to the type of vegetation and did not depend on the rainy season. In spite that lesser carrion fauna was observed in this area when compared to other regions of Mexico, this report constitutes a significant contribution to our understanding of the ecological role of this fauna in arid areas. Rev. Biol. Trop. 61 (3): 1475- 1491. Epub 2013 September 01.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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; both teacher heads agree on what is shown here.
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".