Seasonal variation and patterns in the land snail community along a fine-scale humidity gradient in an Atlantic Rainforest remnant, Southeastern Brazil
Bibliographic record
Abstract
In this study, we provide the first data regarding seasonal variation and patterns along a fine-scale humidity gradient on the land snail community, including parameters such as richness and abundance, in the Sooretama Biological Reserve, Espírito Santo, Brazil. Our study was conducted from January 2017 to December 2018, covering all four seasons (summer, autumn, winter and spring). We used 24 plots of 250 m each, combined with subplots of 25 x 75 cm (to sample leaf-litter), following the RAPELD methodology. We collected 440 live specimens belonging to 35 species from 11 families. The snail species richness varied among seasons, with the highest mean values in summer and spring. The highest variation of richness occurred between summer and autumn, and the smallest variation occurred between spring and summer. Soil temperature, relative air moisture and soil moisture affected significantly the overall land snail abundance. The rainy season was hotter and wetter than the dry season and showed highest richness and abundance of species. Our results showed a clear compositional change along the moisture gradient, suggesting differences in species preference for moisture conditions even at a fine-scale.
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) | 0.000 | 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".