Predicting and Customizing Development of Bird-Building Collision Prevention Measures in China Based on Research in North America
DOI:
https://doi.org/10.61173/r0cswg21Keywords:
Bird-building collision, bird-window collision, avian ecology, avian conservationAbstract
With the development of urbanization, bird collisions with buildings have become increasingly frequent, resulting in significant bird deaths worldwide each year. In North America, hundreds of millions of birds die annually from collisions with buildings. The risks posed by building collisions have already jeopardized bird species diversity. Bird collisions are particularly common during migratory periods. Fatalities from bird-window collisions have a significant impact on ecosystems. Researchers in North America have conducted extensive research and experimentally validated bird collision prevention measures in various regions, which can effectively reduce avian mortality rates from collisions with buildings. While precise national statistics are lacking in China, existing research indicates that a significant number of birds also die from collisions with buildings. However, relevant research is limited in China and there is a lack of effective mitigation strategies. Therefore, this paper aims to develop bird collisions prevention measures applicable to Chinese avian populations, drawing on existing research on bird collisions in North America and incorporating it into existing research in China.
References
large-scale collision data. The predictive power of this da- American city. PLOS One, 2019, 14(11): e0224164. tabase would be significantly enhanced by incorporating [2] Martin, G. R. Understanding bird collisions with man‐made
real-time meteorological conditions and nocturnal migra- objects: A sensory ecology approach. Ibis, 2011, 153(2): 239 tion intensity data from weather surveillance radar [13]. -254. Therefore, China’s future efforts should prioritize the de- [3] Shi D., Liao S.-Y., Zhu L., et al. Review on bird-building velopment of a unified national monitoring system. This collisions and the case study of a systematic survey in China.
system would leverage citizen science and AI-assisted Biodiversity Science, 2022, 30(3): 21321. reporting to build a comprehensive database that links [4] Rössler, M., Nemeth, E., Bruckner, A. Glass pane markings collision events with meteorological conditions, radar-de- to prevent bird-window collisions: Less can be more. Biologia,
rived bird migration traffic, and high-resolution urban 2015, 70(4): 535 -541. landscape features. This robust evidence base will fuel [5] Rebke, M., Dierschke, V., Weiner, C. N., et al. Attraction of predictive models to create dynamic risk maps, enabling nocturnally migrating birds to artificial light: The influence of targeted mitigation measures such as lights-out directives colour, intensity and blinking mode under different cloud cover
and bird-friendly building design in high-risk zones. conditions. Biological Conservation, 2019, 233: 220 -227. [6] Riding, C. S., O’Connell, T. J., Loss, S. R. Building façadelevel correlates of bird -window collisions in a small urban area. 6. Conclusion The Condor, 2020, 122(1): duz065. Research on bird-building collisions in North America has [7] Lao, S., Robertson, B. A., Anderson, A. W., et al. The a relatively long history of development. Systematic ex- influence of artificial light at night and polarized light on bird-
periments conducted by North American researchers have building collisions. Biological Conservation, 2020, 241: 108358. led to iterative advancements in the understanding of pre- [8] Gelb, Y., Delacretaz, N. Windows and Vegetation: Primary vention measures for bird-building collisions. The appli- Factors in Manhattan Bird Collisions. Northeastern Naturalist,
cations of visual markers and UV signals have successful- 2009, 16(3): 455 -470. ly mitigated bird mortalities from colliding with windows. [9] Jr, D. K., Saenger, P. G. Evaluating the Effectiveness of Other research findings that have not yet been implement- Select Visual Signals to Prevent Bird-window Collisions. The
ed also offer valuable guidance for future architectural Wilson Journal of Ornithology, 2013, 125(2): 406-411. design. Sound field and blinking artificial lights satisfy the [10] Thady RG, Emerson LC, Swaddle JP. Evaluating acoustic
needs of both human and bird populations. Urgent bird signals to reduce avian collision risk. PeerJ. 2022, 10:e13313 collision prevention measures in China demand a tailored [11] Rong Canzhong, Xie Kaiqi, Yin Yuzhu. A Preliminary strategy. While North American research provides a cru- Practice of Preventing Bird Collisions in Urban Park. Chinese
cial framework and effective examples, China must adapt Journal of Zoology, 2024, 59(4): 520 -526. solutions to its unique flyway, rapid urbanization, and spe- [12] Li, B. V., Fang, Y., Liao, S.-Y., et al. Scale-dependent effects cific avian species. The immediate priority is to close the of urban vegetation and artificial lights at night on bird-building
data gap by creating a national monitoring network. With collisions in China. Biological Conservation, 2025, 310: 111375. the assistance of citizen science, AI reporting, and radar [13] Horton, K. G., La Sorte, F. A., Sheldon, D., et al. Phenology data will generate the essential foundations to build accu- of nocturnal avian migration has shifted at the continental scale.
rate risk models and identify mortality hotspots. Ultimate- Nature Climate Change, 2020, 10(1): 63 -68.
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