Do ecological corridors increase the abundance of soil fauna?
Bibliographic record
Abstract
Ecological corridors are areas of natural vegetation that connect two or more separate habitat patches, surrounded by a non-habitat matrix. Soil fauna is important for sustainability, conservation and soil quality. Thus, in this study, we aimed to investigate the influence of corridors on the soil faunal community in crops near savannah vegetation areas by examining the effects on trophic, movement and taxonomic groups. We collected data during the dry and rainy seasons in two areas of biodynamic agriculture. Then, we calculated trophic, movement, taxonomic group abundance, total abundance, richness, equability and diversity. The taxa Acari, Chilopoda, Oligochaeta, Orthoptera and Psocoptera were the most abundant in cultivated areas with corridors during the rainy season, while the taxa Dermaptera, Diplura, Diptera, Collembola, Formicidae larva, Lepidoptera and Lepidoptera larva were more abundant in cultivated areas with corridors during the dry season. The trophic, movement, taxonomic group abundance, richness, equability and diversity were higher during the rainy season and were not related to corridor presence. Ecological corridors increased the abundance of some taxonomic groups of soil fauna in cultivated areas, thereby contributing to the maintenance of specific taxonomic groups, which provide important ecosystem services.
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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 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".