News Release

Light pollution increasing year round for some migrating birds

Southeastern U.S., Mexico, & Central America of greatest concern

Peer-Reviewed Publication

Cornell University

Artificial Light at Night Trend Map

image: Map shows trends in levels of artificial light at night (ALAN) across the Western Hemisphere from 1992 to 2013. Pink and red dots show increases; blue dots show where light levels are decreasing. view more 

Credit: Graphic by Frank La Sorte, Cornell Lab of Ornithology.

Ithaca, NY—Nighttime light pollution levels are increasing the most in the southeastern United States, Mexico, and Central America—findings based on year-round data collected over the last two decades in the Western Hemisphere. This trend is a real concern for birds that fly at night during spring and fall migration and even during non-migratory seasons. Results of the study by the Cornell Lab of Ornithology and Colorado State University are published in Ecosphere
  
"The southeastern United States, Mexico, and especially Central America are important migration corridors," said lead author Frank La Sorte at the Cornell Lab. "Evidence that nocturnally migrating birds are encountering increasing light pollution levels within these regions is concerning. Birds largely avoid light during the breeding and non-breeding season. During migration, however, these associations break down as birds travel across a wide range of habitats, including populated areas that contain higher light pollution levels."

Light attracts and disorients birds during migration, often leading to injury and death after collisions with buildings. The authors found that light pollution levels during the past two decades have gone up over roughly 16% of the land area in the Western Hemisphere, with another 7% of land area experiencing a reduction in light pollution. Declines in light pollution are concentrated in the northeastern United States in conjunction with human population declines and urban decay in large cities (map).

The study used data from eBird to generate weekly estimates of relative abundance for the 42 study species. eBird is a Cornell Lab citizen-science program in which volunteer bird watchers enter their observations from anywhere in the world. The authors intersected the weekly abundance estimates with satellite-based measures of year-round light pollution compiled over a 22-year period.
 
Scientists found that all 42 bird species they studied occurred in regions with increasing light pollution levels. The strongest increases occurred during migration, especially for birds that migrated through Central America. The weakest increases occurred for birds that spent the summer breeding season in the northeastern United States.

"Reversing light pollution trends in Central America, especially during the spring, and launching Lights Out programs during intense migration periods could save a substantial number of migrating birds," added study co-author Kyle Horton at Colorado State University. “Reversing light pollution trends in the southeastern United States during the summer breeding season and in Central America during the winter non-breeding season would generate the greatest benefits outside of migration periods."

The hope is that by determining where and when birds are likely to encounter existing or increasing light pollution will lead to more effective efforts to reduce risks and increase bird survival.

Reference:

La Sorte, Frank, Cornell Lab of Ornithology; Horton, Kyle, Colorado State University; Johnston, Alison, Cornell Lab of Ornithology; Fink, Daniel, Cornell Lab of Ornithology; Auer, Tom, Cornell Lab of Ornithology. Seasonal associations with light pollution trends for nocturnally migrating bird populations. 2022. Ecosphere.

This project was supported by The Leon Levy Foundation, The Wolf Creek Charitable Foundation, Lyda Hill Philanthropies, Amon G. Carter Foundation, and National Science Foundation. Computing support was provided by the National Science Foundation and the Extreme Science and Engineering Discovery Environment and the Pittsburgh Supercomputing Center.
 
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