Related Experiment Video
Updated: Nov 4, 2025

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
Published on: August 22, 2018
Multi-scale temporal variation in bird-window collisions in the central United States
Corey S Riding1,2, Timothy J O'Connell3, Scott R Loss3
1Department of Natural Resource Ecology and Management, Oklahoma State University, 008C Ag Hall, Stillwater, OK, 74078, USA. corey.riding@slcc.edu.
Abstract:
Expansion of urbanization and infrastructure associated with human activities has numerous impacts on wildlife including causing wildlife-structure collisions. Collisions with building windows represent a top bird mortality source, but a lack of research into timing of these collisions hampers efforts to predict them and mitigate effects on avian populations. In Stillwater, Oklahoma, USA, we investigated patterns of bird-window collisions at multiple temporal scales, from within-day to monthly and seasonal variation. We found that collisions peaked during overnight and early morning hours, a pattern that was consistent across seasons. Further, temporal variation in fatal collisions was explained by an interaction between season and avian residency status. This interaction illustrated the expected pattern that more migrant individuals than residents collided in fall, but we also documented unexpected patterns. For example, the highest monthly total of collisions occurred in spring migration during May. We also found similarly high numbers of resident and migrant collisions in spring, and a roughly similar amount of migrant mortality in spring and fall migration. These findings, which provide unprecedented quantitative information regarding temporal variation in bird-window collisions, have important implications for understanding mechanisms by which birds collide and improving timing of measures to reduce this major bird mortality source.
Related Concept Videos
Conservation of Declining Populations
Migration
Habitat Fragmentation
Pollination and Flower Structure
Convergent Evolution
Conservation of Small Populations

