Post-hatching behavior and dispersal of globally vulnerable Moluccan scrubfowl Eulipoa wallacei on Haruku Island, Indonesia
Bibliographic record
Abstract
The Moluccan scrubfowl Eulipoa wallacei has a small global distribution, including on Haruku Island, Indonesia, and is threatened by egg exploitation facilitated by its communal nesting behavior on the coast. The unique features of the Megapodiidae are the absence of parental care after hatching, and the movements of chicks of this species after hatching are not known, even though this must have influenced chick survival. This study examined post-hatching behavior, including distance, dispersal direction, and type of land cover traversed. Nest sites were small patches of sand less than 0.2 ha surrounded by vegetation, while nest holes were individual nests within nest sites. Of the four marked chicks, one died on the eighth day, while the other three survived until the end of the study period. We recorded chick behavior from the surface of the nest hole using a video camera, and four chicks were radio-tracked to monitor their dispersal direction, distance traveled, and habitat use. The hatching time for Moluccan scrubfowl chicks (n = 263) was between 0350–0700 AM. Their behavior was grouped into the resting phase (1.2 ± 0.7 minutes), the phase moving away from the immediate nest hole (0.6 ± 0.2 minutes) by running or flying, and the phase away from the nesting site (5.2 ± 0.5 minutes). After hatching, chicks dispersed 260–350 m in 24 hours, 390–1030 m in weeks 1–4, and 1060–1120 m in weeks 5–6. Habitat used during early hatching is vegetation around the nest site as temporary shelter, and subsequently, dryland forest and mixed dry agricultural habitats as they grow older. This research data supports a conservation approach for Moluccan scrubfowl at the chick stage by maintaining vegetation around nesting sites and the pathways chicks use as they move toward their daily habitat.
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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 | 0.001 | 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".