Life above ground: ecology of <i>Anolis fuscoauratus</i> in the Amazon rain forest, and comparisons with its nearest relatives
Bibliographic record
Abstract
The polychrotid lizard Anolis fuscoauratus was studied at six localities in the Ecuadorian and Brazilian Amazon from 1994 to 1999. Throughout the Amazon, A. fuscoauratus occurs in forested habitats, is arboreal on tree trunks, limbs, and branches as well as vines, has a body temperature (Tb) of 28.7 ± 0.2°C (mean ± SE) while active, maintains Tb slightly above ambient temperatures, avoids direct sunlight during most of the day, and feeds primarily on a combination of orthopterans (20.62% by volume), spiders (16.7%), homopterans (10.62%), and insect larvae (10.35%). Despite detectable geographic variation in adult body size and diets, general ecological attributes are similar among populations across the Amazon region even though the number of sympatric Anolis species as well as the total number of lizard species vary among sites. Overall ecological similarity likely reflects the fact that there is little evolutionary divergence among populations. Comparisons between A. fuscoauratus and its three closest relatives, A. humilis and A. limifrons of Central America and A. trachyderma of the Amazon, reveal some similarities. All four species maintain relatively low Tb while active. Anolis fuscoauratus and A. limifrons are ecologically and morpho logically similar but A. fuscoauratus is larger. Anolis humilis and A. trachyderma are more similar to each other ecologically than they are to their respective sympatric congeners. Anolis humilis is smaller than and morphologically dissimilar to A. trachyderma. The Amazonian and Central American species pairs do not comprise each other's closest relatives, indicating that similar ecomorphs have evolved independently in the Amazonian and Central American rain forests.
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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".