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

• Published in: Conservation biology 2024-08, Vol.38 (4), p.e14255-n/a
• Main Authors: Tan, David J. X., Freymueller, Nicholas A., Teo, Kah Ming, Symes, William S., Lum, Shawn K. Y., Rheindt, Frank E.
• Format: Article
• Language: English
• Subjects: bird strikes; Birds; Buildings; ciencia comunitaria; Cities; colisiones con ventanas; Collisions; community science; Ecological distribution; Ecological models; Ecological niches; ecología urbana; Encroachment; Forests; Geographical distribution; golpes de aves; Land use; Light pollution; Light sources; Maxent; Maxent软件; Maximum entropy; Migratory species; Mitigation; Modelling; Niches; Remote sensing; Taxa; urban ecology; urbanización; urbanization; window collisions; 城市化; 城市生态学; 窗户碰撞; 群落科学; 鸟类撞击
• ISSN: 0888-8892; 1523-1739; 1523-1739
• DOI: 10.1111/cobi.14255

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. Modelos de nicho ecológico para esclarecer los causantes bióticos y abióticos de las colisiones entre aves y edificios en una ciudad tropical asiática Resumen Las colisiones entre aves y edificios son causa de un gran número de muertes en todas las ciudades del mundo, y aun así se estudian muy poco fuera de América del Norte. Realizamos uno de los primeros análisis a escala fina y a escala de paisaje en una ciudad asiática y usamos el modelo de entropía máxima (como se aplica con frecuencia a los modelos de distribución de especies) de manera novedosa para analizar los causantes de estas colisiones en Singapur, una ciudad‐estado tropical. Combinamos siete años de observaciones de ciencia comunitaria con los datos públicos de teledetección y construcción. Los causantes de las colisiones entre aves y edificios variaron entre taxones. Algunos taxones migratorios tuvieron un riesgo de colisión relativamente más alto relacionado con áreas de alta densidad de edificios y niveles elevados de contaminación lumínica d