دورية أكاديمية

Artificial light at night is a top predictor of bird migration stopover density

التفاصيل البيبلوغرافية
العنوان: Artificial light at night is a top predictor of bird migration stopover density
المؤلفون: Kyle G. Horton, Jeffrey J. Buler, Sharolyn J. Anderson, Carolyn S. Burt, Amy C. Collins, Adriaan M. Dokter, Fengyi Guo, Daniel Sheldon, Monika Anna Tomaszewska, Geoffrey M. Henebry
المصدر: Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
بيانات النشر: Nature Portfolio, 2023.
سنة النشر: 2023
المجموعة: LCC:Science
مصطلحات موضوعية: Science
الوصف: Abstract As billions of nocturnal avian migrants traverse North America, twice a year they must contend with landscape changes driven by natural and anthropogenic forces, including the rapid growth of the artificial glow of the night sky. While airspaces facilitate migrant passage, terrestrial landscapes serve as essential areas to restore energy reserves and often act as refugia—making it critical to holistically identify stopover locations and understand drivers of use. Here, we leverage over 10 million remote sensing observations to develop seasonal contiguous United States layers of bird migrant stopover density. In over 70% of our models, we identify skyglow as a highly influential and consistently positive predictor of bird migration stopover density across the United States. This finding points to the potential of an expanding threat to avian migrants: peri-urban illuminated areas may act as ecological traps at macroscales that increase the mortality of birds during migration.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2041-1723
Relation: https://doaj.org/toc/2041-1723
DOI: 10.1038/s41467-023-43046-z
URL الوصول: https://doaj.org/article/df008d0e293e484cbc5db6e2b21720dd
رقم الأكسشن: edsdoj.f008d0e293e484cbc5db6e2b21720dd
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20411723
DOI:10.1038/s41467-023-43046-z