Highly variable movements by Andean Flamingos ( Phoenicoparrus andinus ): implications for conservation and management
Bibliographic record
Abstract
The Andean Flamingo (Phoenicoparrus andinus) is endemic to the central Andes Mountains, with the majority of the population distributed between Argentina, Bolivia, and Chile. It is the rarest of the six flamingo species on the planet and is one of the least studied flamingos. Little information exists about its annual cycle, including which wetlands individual Andean Flamingos use at different times of year, posing an obstacle to developing effective conservation planning for its populations. In 2020 and 2022, we attached GPS-enabled satellite transmitters to four Andean Flamingos in northwestern Argentina, tracking their movements throughout the year to provide an initial assessment of their movement patterns, including timing, rate, and distances of movements between wetlands. We found highly variable movement patterns between individual flamingos. After the breeding season, which they spend at high elevations, some flamingos moved northwards to overwinter in the central Andes of Bolivia, whereas others moved south to overwinter near sea level in the lowlands of central Argentina. All tracked flamingos moved rapidly between wetlands, some of which were used by multiple flamingos. One flamingo visited sites in Argentina, Bolivia, and Chile during one annual cycle, highlighting the need for international conservation cooperation. Given the growing threats to this species, including climate change and a recent, rapid increase in lithium mining, we call for further research on this and other flamingo species in the Andes.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".