Range-wide site-occupancy modeling of Red-winged Blackbirds (<i>Agelaius phoeniceus</i>)
Bibliographic record
Abstract
Abstract Globally, habitat loss and land conversion are major drivers of bird population decline. To halt the decline, it is essential that habitat conservation and restoration efforts are based on an understanding of how individual species use their habitat. Here, we examine habitat use by Red-winged Blackbirds (Agelaius phoeniceus) by quantifying their probability of occurrence in different land cover types and in association with varying degrees of habitat modification across most of the species’ range. To do so, we used the citizen-science eBird dataset, in combination with MODIS land cover data to model site occupancy for two breeding seasons and related presence/absence to the Global Human Modification Index. We found that Red-winged Blackbirds occupy rural and suburban habitats at higher probabilities than they do habitats with high levels of urbanization, and at similar or higher probabilities than they do their historic, natural habitats. Furthermore, we found that occurrence probability peaks at intermediate values of the Global Human Modification Index. The results were consistent across most ecoregions and the geographic range of the species, confirming that the Red-winged Blackbird is a suburban-adaptable species, persisting in moderately disturbed environments. Although more research is needed to understand the ecological and evolutionary consequences of this pattern of habitat use, our results provide novel data on Red-winged Blackbird habitat use in the midst of increasing urbanization. More broadly, they provide insight into how common, widespread avian species may be affected by anthropogenic disturbance and highlight the importance of rural and suburban environments in urban ecology and evolution.
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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 | 0.001 | 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 | 0.000 | 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 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".