Predicting Avian Diversity with Geospatial Technologies

Authors

  • Tejdeep Kaur Kler Department of Zoology, Punjab Agricultural University, Ferozepur Road, Ludhiana 141004, Punjab
  • Hasneet Kaur Hora Department of Zoology, Punjab Agricultural University, Ferozepur Road, Ludhiana 141004, Punjab
  • Anil Sood Agroecosystems and Crop Modelling Division, Punjab Remote Sensing Centre, Ludhiana 141004, Punjab
  • Prabha Kumari Punjab Remote Sensing Centre, Ludhiana 141004, Punjab

DOI:

https://doi.org/10.55446/IJE.2022.579

Keywords:

Avifauna, bird orders, Bray-Curtis dissimilarity index, buildup, correlation, feeding guilds, habitat, remote sensing, urbanization, vegetation

Abstract

Rapid urbanization accompanied by land use changes is affecting biodiversity worldwide specifically avian diversity. In the present study, the interactions of avian diversity with vegetation area were evaluated using geospatial technologies at different locations of Ludhiana city from April 2019 to March 2020. Integration of observations was done to analyze the avian diversity in relation to habitat components. Bird surveys conducted have recorded 46 bird species. There were 44 tree and 14 shrub species recorded, with vegetation and buildup area being the key determinants of diversity. Urban locations with balanced buildup area and vegetation were observed to support bird species diversity.

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Published

2022-06-30

How to Cite

Kaur Kler, T., Kaur Hora, H., Sood, A. ., & Kumari, P. . (2022). Predicting Avian Diversity with Geospatial Technologies. Indian Journal of Entomology, 85(1), 145–149. https://doi.org/10.55446/IJE.2022.579

Issue

Section

Research Articles

References

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