ON THE ECOLOGY AND CONSERVATION OF THE CRITICALLY ENDANGERED MASAFUERA RAYADITO (APHRASTURA MASAFUERAE)
Bibliographic record
Abstract
The Masafuera Rayadito (Aphrastura masafuerae) is a little known, critically endangered, endemic bird species of Alexander Selkirk Island, Juan Fernández Archipelago, Chile. The last assessment reported a population as low as 140 individuals. Possible causes for its decline could be habitat loss and degradation, and potentially a lack of nest sites. We conducted a new population assessmentusing point counts and investigated habitat use patterns during the post-breeding season of 2006 and 2007. We also installed 81 nest boxes (in three areas) to study the species’ breeding ecology and to increase potential nest sites. Our estimated mean rayadito abundance for 2006 was 0.54 ± 0.19 ind/ha(mean ± SE, approximately 250 individuals in the southern area). We could not survey all the areas where the rayadito might be found, but extrapolating to a conservative estimate of potential habitat of1000 ha we estimate a total population size of 500 individuals (148–932, CI 95%). We found a significant positive relationship between number of rayaditos and canelo (Drymis confertifolia) cover (GLM Poisson, P= 0.045), with canelo coverage approximately 8% of the southern area. A year after establishment, seven out of 42 boxes (southern group) had been occupied: three complete and four incomplete nests. All three complete nests had a supporting structure (1042.99 ± 18.16 cm3) of canelo and tree-fern (Dick-sonia externa) rootlets and a soft cup (313.68 ± 112.08 cm3) of petrel (Pterodroma externa and P. longi-rostris) feathers. Our results showed rayadito population levels similar to what was found in the late1980s, although the species still faces considerable threats. The probability of box occupation was not affected by tree diameter or box placement height. These results suggest that canelo trees and nest boxes could be used in the restoration of the rayadito habitat
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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 | 0.000 | 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 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".