A conceptual framework and methods for studying the connectivity of fishes
Connectivity is a multifaceted concept that has important implications for the management and conservation of marine and freshwater fishes. We developed a conceptual framework that encompasses multiple, interrelated categories of connectedness, including landscape (e.g., structural, functional) connectivity and ecological (e.g., trophic, genetic, demographic) connectivity, that together shape the flow of organisms, energy and information across ecosystems. We also synthesised six key methods that can be used to study connectivity of fishes: (1) telemetry, including satellite, acoustic, radio and passive integrated transponders (PIT), (2) mark-recapture, (3) environmental tracers, including stable isotopes and otolith-microchemistry, (4) genetics, (5) community structure analysis and (6) emerging technologies and tools (e.g., remote sensing and artificial intelligence). For each method, we describe the categories of connectivity it can assess and provide real-world examples where they have been effectively used. We also identify limitations of each method. This article highlights the diverse and evolving toolbox of methods used to assess fish connectivity, underscoring the need for continued collaboration, innovation and integration of new approaches to refine our understanding and address remaining challenges in this critical area of aquatic ecology and fisheries management.
Citation Information
| Publication Year | 2026 |
|---|---|
| Title | A conceptual framework and methods for studying the connectivity of fishes |
| DOI | 10.1111/faf.70058 |
| Authors | Jordanna N. Bergman, Jessica A. Robichaud, Jasper McCutcheon, Michael Thomas Booth, Brendan Campbell, Grace A. Casselberry, Cienna R. Cooper, Bronwyn M. Gillanders, Lucas P. Griffin, Edward Hale, Luc LaRochelle, Karen J. Murchie, Mary M. Peacock, Reid G. Swanson, Simon D. Stewart, Ryan. J. Woodland, Daniel P. Zielinski, Steven J. Cooke, Morgan L. Piczak |
| Publication Type | Article |
| Publication Subtype | Journal Article |
| Series Title | Fish and Fisheries |
| Index ID | 70274011 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | Coop Res Unit Leetown |