ROOM: Galt House, Willis
Migratory behavior is nearly ubiquitous, occurring in every major vertebrate and many invertebrate taxa. Increasingly these species have become a focus of management and conservation concern, emphasizing the importance of understanding and identifying these complex movement behaviors. Model-driven movement classification methods provide a rigorous framework for classifying individual movement behaviors (e.g., migrant v. resident) and quantifying the characteristics of migratory and dispersal movements (i.e., timing, distance, duration). These methods rely on individual location data and facilitate comparison across individuals, populations, and taxa. I wrote the migrateR package to automate these methods and help make them more accessible. Wider application of this approach has revealed limitations to some of the initial assumptions, which I have addressed through a recent expansion of the package (v1.1.0). In this workshop we will cover: (1) the theoretical basis of these methods; (2) recent methodological advances that improve their application to birds, fish and other taxa with more complex movement patterns; and (3) the implementation of these methods in R, including workflow and new tools included in migrateR?s recent expansion. The workshop will focus on discussion and worked examples. We will start with simulating data and will work up to increasingly complex real world examples. Participants are encouraged to bring their own data (please contact me before 12 Sep, if you find this option of interest!). Prior familiarity with R is strongly recommended, but not required, as is bringing a laptop, and installing ?migrateR? ahead of time. Package and documentation available at https://github.com/dbspitz/migrateR.
Organizers: Derek Spitz, University of California Santa Cruz, Santa Cruz, CA