Evaluating conservation units using network analysis: A sea duck case study
Conserving migratory wildlife requires understanding how groups of individuals interact across seasons and landscapes. Telemetry reveals individual movements at large spatiotemporal scales; however, using movement data to define conservation units requires scaling up from individual movements to species- and community-level patterns. We developed a framework to define flyways and identify important sites from telemetry data and applied it to long-term, range-wide tracking data from three species (640 individuals) of sea ducks: namely, North American scoters (Melanitta spp). Our network of 88 nodes included both multispecies hotspots and areas uniquely important to individual species. We found limited spatial overlap between scoters wintering on the Atlantic and Pacific coasts of North America, with differing connectivity patterns between coasts. Finally, we identified four multispecies conservation units that did not correspond to traditional management flyways. From this approach, we show how individual movements can be used to quantify range-wide connectivity of migratory species and reveal gaps in conservation strategies.
|Evaluating conservation units using network analysis: A sea duck case study
|Juliet S. Lamb, Clara Cooper-Mullin, Scott Gilliland, Alicia Berlin, Timothy D. Bowman, Sean Boyd, Susan E. W. De La Cruz, Daniel Esler, Joseph R. Evenson, Paul L. Flint, Christine Lepage, Dustin Meattey, Jason Osenkowski, Peter WC Patton, Matthew Perry, Daniel H. Rosenberg, Jean-Pierre L. Savard, Lucas Savoy, Jason Schamber, David Ward, John Takekawa, Scott R. McWilliams
|Frontiers in Ecology and the Environment
|USGS Publications Warehouse
|Patuxent Wildlife Research Center; Eastern Ecological Science Center