Persistent species relationships characterize migrating bird communities across stopover sites and seasons

• 成果类型: Article
• 署名作者: Desimone, Joely G.; Degroote, Lucas W.; Mackenzie, Stuart A.; Owen, Jennifer C.; Patterson, Andrea J.; Cohen, Emily B.
• 署名单位: University System of Maryland; University of Maryland Center for Environmental Science; Michigan State University
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-13234
• DOI: 10.1073/pnas.2322063121
• 发表日期: 2024-08-20
• 关键词: habitat use; passerine migrants; ecology; flocks; INFORMATION; FRAMEWORK; SPACE; sensitivity; networks; DYNAMICS

摘要

Global migrations of diverse animal species often converge along the same routes, bringing together seasonal assemblages of animals that may compete, prey on each other, and share information or pathogens. These interspecific interactions, when energetic demands are high and the time to complete journeys is short, may influence survival, migratory success, stopover ecology, and migratory routes. Numerous accounts suggest that interspecific co- migrations are globally distributed in aerial, aquatic, and terrestrial systems, although the study of migration to date has rarely investigated species interactions among migrating animals. Here, we test the hypothesis that migrating animals are communities engaged in networks of ecological interactions. We leverage over half a million records of 50 bird species from five bird banding sites collected over 8 to 23 y to test for species associations using social network analyses. We find strong support for persistent species relationships across sites and between spring and fall migration. These relationships may be ecologically meaningful: They are often stronger among phylogenetically related species with similar foraging behaviors and nonbreeding ranges even after accounting for the nonsocial contributions to associations, including overlap in migration timing and habitat use. While interspecific interactions could result in costly competition or beneficial information exchange, we find that relationships are largely positive, suggesting limited competitive exclusion at the scale of a banding station during migratory stopovers. Our findings support an understanding of animal migrations that consist of networked communities rather than random assemblages of independently migrating species, encouraging future studies of the nature and consequences of co- migrant interactions.