Diversity of avifauna in Urban City, Vadodara, Gujarat
Bibliographic record
Abstract
ABSTRACT Birds were surveyed in and around 9 different terrestrial habitats in Vadodara city in the semi-arid zone of Gujarat, India for two years (2005-2007). The habitats were mainly divided in to 3 categories disturbed, moderately disturbed and undisturbed. The density and diversity indices like species richness, Shannon-Weiner diversity index, evenness and abundance of birds were calculated for all the habitats to find out status of birds in the particular area compared to the other areas to find out the influence of urbanization on the same. Total 82 species of birds were observed. The areas with good vegetation, parks, and old type of buildings with moderate human disturbances support good diversity as well as density of birds. The study supports that highly disturbed areas have higher density of birds due to the presence of the urban exploiters such as pigeons. Moderately disturbed areas had higher density as well as diversity due to the presence of urban exploiter as well as native species whereas undisturbed areas had low bird density but high diversity because of native species of birds and vice -versa. Highly disturbed areas had the highest density of birds due to presence of urban exploiters but low species richness. One important point observed in the study was moderately disturbed areas have comparatively higher density as well as diversity of birds indicating that human settlements do favor terrestrial bird populations. Key words: Birds, urban areas, Urban exploiters REFERENCES Ali, S. (1996). The book of Indian Birds.11th ed. Bombay Natural Society, Bombay. Ali, S. and Ripley, D. S. (1969). Handbook of the birds of India and Pakistan, Vol III, Oxford University Press, Bombay. Balmford, A., Moore, J. L., Brooks, T., Burgess, N., Hansen, L. A., Williams, P. and Rahbek, C. (2001). Conservation Conflicts Across Africa. 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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 | 0.001 |
| 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".