Disentangling the biotic and abiotic drivers of bird-building collisions in a tropical Asian city with ecological niche modeling.

Autor: Tan DJX; Department of Biology and Museum of Southwestern Biology, University of New Mexico, Albuquerque, New Mexico, USA., Freymueller NA; Department of Biology and Museum of Southwestern Biology, University of New Mexico, Albuquerque, New Mexico, USA., Teo KM; National Parks Board, Singapore, Singapore., Symes WS; Organization for Economic Co-operation and Development, Paris, France., Lum SKY; Asian School of the Environment, Nanyang Technological University, Singapore, Singapore., Rheindt FE; Department of Biological Sciences, National University of Singapore, Singapore, Singapore.
Jazyk: angličtina
Zdroj: Conservation biology : the journal of the Society for Conservation Biology [Conserv Biol] 2024 Aug; Vol. 38 (4), pp. e14255. Date of Electronic Publication: 2024 Mar 15.
DOI: 10.1111/cobi.14255
Abstrakt: Bird collisions with buildings are responsible for a large number of bird deaths in cities around the world, yet they remain poorly studied outside North America. We conducted one of the first citywide fine-scale and landscape-scale analyses of bird-building collisions in Asia and used maximum entropy modeling (as commonly applied to species distribution modeling) in a novel way to assess the drivers of bird-building collisions in the tropical city-state of Singapore. We combined 7 years of community science observations with publicly available building and remote sensing data. Drivers of bird-building collisions varied among taxa. Some migratory taxa had a higher relative collision risk that was linked to areas with high building densities and high levels of nocturnal blue light pollution. Nonmigratory taxa had a higher collision risk in areas near forest cover. Projecting our results onto official long-term land-use plans, we predicted that future increases in bird-building collision risk stemmed from increases in blue light pollution and encroachment of buildings into forested areas and identified 6 potential collision hotspots linked to future developments. Our results suggest that bird-building collision mitigation measures need to account for the different drivers of collision for resident and migratory species and show that combining community science and ecological modeling can be a powerful approach for analyzing bird-building collision data.
(© 2024 Society for Conservation Biology.)
Databáze: MEDLINE
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