Use of vulture carcasses and effigies to reduce vulture damage to property and agriculture
Bibliographic record
Abstract
As land-use patterns change and urban populations surge into previously undeveloped areas, wildlife conflicts inevitably increase. Of increasing concern are problems associated with black (Coragyps atratus) and turkey vultures (Cathartes aura), two species that have shown the capacity to adapt readily to human activities. Previously, we demonstrated that roosting vultures can be successfully dispersed from communication and broadcast towers by hanging a vulture carcass or taxidermic effigy in the structure. Here, we extend that method to situations where vultures are affecting residential property and agricultural resources. At 4 of 8 study sites where vulture damage to property was a concern, damage was eliminated by hanging a carcass or effigy in trees where the vultures roosted. At the other 4 sites, where the roost was inaccessible, vulture damage ceased after carcasses or effigies were hung on or near the property directly affected by the birds. After vulture activity had been reduced, the effigies or carcasses at 4 of the 8 sites were replaced by Canada goose (Branta canadensis) decoys painted to resemble vultures. Vulture activity continued to be suppressed at those locations. At 1 of 2 study sites where depredation to livestock was a concern, vulture activity at a pig breeding facility was reduced 90% after a taxidermic effigy was installed overhead. At the other site, where depredation of cattle and calves by vultures was a concern, a nearby roost of 800 birds was dispersed using effigies; the effect upon depredation has yet to be determined. Our investigation to date has found the hanging of vulture carcasses, taxidermic effigies, and decoy effigies to be effective for the management of vulture problems in a variety of situations. This nonlethal vulture management approach will not be appropriate or effective in every case, but its use should be considered, particularly where roost dispersal is desired.
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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 | 0.000 | 0.000 |
| 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 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".