Integrated patterns of residence and movement create testable hypotheses about fish feeding migrations
Developing and testing alternate hypotheses about patterns, mechanisms, and consequences of movement in geographically-large, heterogeneous, natural systems can advance the scientific understanding of animal migration and benefit the conservation of most mobile species. Within organismal movement trajectories, different combinations of residence and movement are predicted from existing ecological theories (e.g. long distance migration, site fidelity, central place foraging, ideal free distribution, habitat shifts). However, testing these conceptually-based, spatially-explicit hypotheses about animal movement and migration in the field can be logistically challenging. Here our purpose is to introduce Resmo, a framework of metrics and analyses that integrate site-specific RESidence and across-site MOvements. We illustrate the ecological insights from this framework using the empirical example of coastal Striped Bass (Morone saxatilis) during their seasonal feeding migration. Our use of site-specific Resmo applied to empirical telemetry data enhanced the understanding of feeding behavior of migratory fish, suggested testable ecologically-meaningful hypotheses about foraging, and identified criteria on which to base the selection of future sampling locations. In summary, the Resmo approach provides a useful new direction for thinking about animal migration, animal movement, biological conservation, and future priorities for empirical field data collection related to understanding the distribution of mobile organisms.
Citation Information
Publication Year | 2025 |
---|---|
Title | Integrated patterns of residence and movement create testable hypotheses about fish feeding migrations |
DOI | 10.1038/s41598-024-79627-1 |
Authors | Martha E. Mather, Ryland B. Taylor, Joseph M. Smith, Kayla M. Boles |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Scientific Reports |
Index ID | 70265975 |
Record Source | USGS Publications Warehouse |
USGS Organization | Coop Res Unit Atlanta |