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Enregistrement W6894001221 · doi:10.5281/zenodo.7364258

Diversity of avifauna in Urban City, Vadodara, Gujarat

2022· article· en· W6894001221 sur OpenAlexaboutno aff

Notice bibliographique

RevueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueAvian ecology and behavior
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHabitatSpecies evennessUrbanizationHuman settlementAbundance (ecology)Diversity (politics)Species diversityPopulation density

Résumé

récupéré en direct d'OpenAlex

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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M., Bowmen, R. and Donnelly, R. Kluwer Academic publishers, Bostan. Flather, C. H. and Sauer, J. R. (1996). Using landscape ecology to test hypothesis about large-scale abundance patterns in migratory birds. Ecology, 77: 28-35. Fraterrigo JF, Wiens JA (2005) Bird communities of the Colorado Rocky Mountains along a gradient of exurban development. Landsc Urban Plan 71:263–275 Geis, A. D. (1976). Effects of Building Design and Quality on Nuisance Bird Problems. Proceedings of the 7th Vertebrate Pest Conference, held at University of Nebraska, Lincoln. ( http:/ / digitalcommons.unl.edu/vpc7/21 ) Grimmett R.; Inskipp S. and Inskipp R. (1999). Pocket Guide to the Birds of Indian Sub Continent. Oxford University Press. New Delhi. Huston, M. (1993). Biological Diversity, Soils, and Economics. Science, 262: 1676-1679. Jokimaki, J. and Suhonen, J. (1993). Effects of urbanization on the breeding bird species richness in Finland: a biogeographical comparison. Ornis Fenn., 70: 71-77. Kark, S., Lwaniuk, A., Schalimtzek, A., Banker, E. (2007). Living in the city: can anyone become an “urban exploiter” ? J. Biogeogr, 34: 638-651. Knight, R. L. and Temple, S. A. (1995). Wildlife and recreationists: coexistence through management. 327-333. Koskimies, P. (1989). Bird as a tool in environmental monitoring. Annales Zoologici Fennici, 26: 153-166. Krebs, C. J. (1985). Ecology: the experimental analysis of distribution and abundance. Third edition, Harper and Row Publishers, New York. Marsh, R. E. and Howard, W. E. (1982). A PCO’s guide to controlling feral pigeons. Pest Control Technology, 10: 85-86, 88-89, 110. Marzluff, J. M. 2001. Worldwide urbanization and its effects on birds. In : Avian conservation: research and management. J. M. Marzluff and R. Sallabanks, Eds. Island Press, Washington, D.C. Morrisson, M. L. (1986). Bird populations as indicators of environmental changes. Current Ornithology, 3: 429-451. O’Connell, T.J., Jackson, L.E. and Briijs, R.P. 2000. Bird guilds as indicators of ecological condition in the central Appalachians. Eco. Appl., 10: 1706-1721. Padate, G. S., Barve, S. A., Garg, S., Jatinder, K., Patel, G. S., Jagirdar, N., Sapna, S. and Vani, N. (1998). In: Bird Species richness as Influenced by Degree of Human Intervention in Baroda. Birds in agricultural Ecosystem, 158-165. Eds. Dhindsa, M. S., Rao, P. S. and Parasharya, B. M. Society for Applied Ornithology, Hyderabad. Padate, G.S., Sapna, S. and Devkar, R.V. (2001). Status of Birds in Vadodara District (Central Gujarat). Pavo, 39(1&2): 83-94. Parasharya, B. M. (2005). Parakeet counting at Vallabh Vidyanagar. Flamingo, 3 (4): 12. Parasharya, B. M., Borad, C. K. and Rank, D. N. (2004). A checklist of the Birds of Gujarat. Published by Bird Conservation Society, Gujarat. Pimentel, D., Stachow, U., Takacs, D. A., Brubaker, H. W., Dumas, A. R., Meaney, J. J., Oneil, A. S., Onsi, D. E. and Corzilius, D. B. (1992). Conserving biological diversity in agricultural forestry systems: most biological diversity exists in human-managed ecosystems. Bioscience, 42: 354-362. Rathod, J. Y. (2009). Avifauna of urban area: its Significance and implication Under various human disturbances. Thesis submitted to The Maharaja Sayajirao University of Baroda, Vadodara. Reynaud, P. A. and Thioulouse, J. (2000). Identification of birds as biological markers along a neotropical urban-rural gradient (Cayenne, French Guiana), using co-inertia analysis. Journal of Environmental Management, 59: 121-140. Sateesh Pujari, & Estari Mamidala. (2015). Anti-diabetic activity of Physagulin-F isolated from Physalis angulata fruits. The American Journal of Science and Medical Research, 1(2), 53–60. https://doi.org/10.5281/zenodo.7352308 Riffell, S. K., Gutzwiller, K. J. and Anderson, S. H. (1996). Does repeated human intrusion cause cumulative declines in avian richness and abundance? Ecol. Appl., 6: 492-505. Rodgers, J. A. and Smith, H. T. (1995). Set-back distances to protect nesting bird colonies from human disturbance in Florida. Conserv. Biol., 9: 89-99. Rodgers, W. A. 1991. Techniques for wildlife census in India A field manual. Wildlife Institute of India, Dehradun, India. Shwartz, A., Shirley, S and Kark, S. (2007). How do habitat variability and management regime shape the spatial heterogeneity of birds within a large Mediterranean urban park? Landscape and Urban Planning, 1-11. Strife, M. F. (2004). The Effects of Rural residential Development on Birds in Quaking Aspen Communities in Jackson Hole, WY. Thaker K. N. and Jasrai Y. T. (2005). Sprawling Sayaji park: Importance in the present scenario. Urban pollution issues and solutions, 103-114. Eds. Arya, A. Bedi, S. J., Jasrai, Y. T. and Patel V. S. Published by Nidhi book center, Delhi. Tilghman, N. G. (1987). Characteristics of Urban Woodlands affecting Breeding Bird Diversity and Abundance. Landscape and Urban Planning., 14: 481-495. Traut, A. H. (2003). Urban Lakes and Waterbirds: Effects of Development on Distribution and Behavior. A thesis presented to the graduate school of the University of Florida in partial fulfillment of the requirements for the Degree of Master of Science. University of Florida. Welty J. C. and Baptista L. (1988). In: The life of birds, fourth edition. Saunders College Publishing. New York, Chicago, San Francisco, Philadelphia, Montreal, Toronto, London, Sydney, Tokyo.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,041
Score d'incertitude au seuil0,081

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,225
Écart entre enseignants0,194 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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