A new study published on arXiv analyzes bird diversity in Sri Lanka, integrating spatial, temporal, and environmental data to understand the factors influencing species richness. The research combined bird observation records with variables such as weather, air pollution, vegetation index, land cover, elevation, and artificial light at night (ALAN). Findings indicate that land cover type is a more significant predictor of bird diversity than individual continuous variables like NDVI or temperature. Urbanization, as measured by ALAN, showed scale-dependent effects, favoring generalist species while decreasing overall richness. AI
RANK_REASON Research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.1]
- Dilusha Chandrasiri
- Normalized Difference Vegetation Index
- Poisson Generalized Linear Models
- Sri Lanka
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