High occupancy of European leaf-toed gecko <i>Euleptes europaea</i> in two island stands of <i>Eucalyptus sp</i> .: tree selection, co-occurrence and habitat effect
Bibliographic record
Abstract
Abstract The effective conservation of a species requires a thorough knowledge of its ecology. Long considered to live exclusively in rocky habitats, the European leaf-toed gecko ( Euleptes europaea) has in fact been observed in vegetated and wooded habitats at several locations throughout its range. The tendency of this species to use these habitats seems to be clearly supported by its prehensile tail characteristic of geckos with arboreal behaviour. To better assess tree occupation by E. europaea and other co-occurring geckos, a site-occupancy survey was conducted in 2022 on the testing site of DGA (French MoD the Procurement Agency) of Levant Island (Hyères, France). Two stands of Eucalyptus sp . containing 68 trees were selected to monitor. One stand lies in an anthropised context, consisting of scattered woodland and clear ground (stand 1), and the other represents a ‘natural’ forest context with dense ground vegetation (stand 2). The results revealed high occupancy by E. europaea in both stands, with an average occupancy probability of 0.57 (CI 0.40–0.72). The Mediterranean house gecko ( Hemidactylus turcicus ) and Moorish gecko ( Tarentola mauritanica ) had an average occupancy probability of 0.28 (CI 0.16–0.44) and 0.07 (CI 0.03–0.16) respectively. In stand 2, E. europaea was the only gecko species found, suggesting that it is better adapted to this type of forest habitat, which may represent a refuge for this species. In view of these results, the ecology of this species should be reconsidered and the research broadened by systematically including vegetated and forest habitats.
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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 | 0.001 | 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".