My undergraduate honor’s thesis explored the effects of subsampling hair snare on the spatially explicit models used to enumerate Black Bear (Ursus americanus) populations in northern Minnesota, and my current post-baccalaureate work uses a simulation framework to explore similar concepts. Additionally, I assisted with authoring and implementing 'swirl’ pre-lab exercises in R used in the Fall 2016 section of FW 4001 (Biometry). I am currently working various field positions while I research graduate research opportunities, where I hope to pursue predictive modeling for the purpose of conservation in human dominated landscapes. When not digging through stack exchange to solve my R problems, I enjoy backpacking, and playing volleyball/tennis.
I am a PhD student at the University of Göttingen (Germany) and have been in close collaboration with the Fieberg Lab since 2014. My research involves the development of quantitative methods and software implementations for the analysis of animal movement data. Currently I am working on a software package for program R to analyze telemetry data (more about the rhr package can be found here: http://jmsigner.github.io/rhrman/). I am also conducting research that compares different analytical approaches in terms of their ability to answer biologically meaningful questions. I also like collaborating with other researchers on real world problems that can be addressed with telemetry data. Beside the analysis of movement data, I am generally interested in the quantitative approaches in wildlife ecology. I also enjoy teaching. Each spring semester I teach a class introducing quantitative methods in wildlife management to undergraduate students. I have also taught workshops on how to handle spatial data in R and how to analyze telemetry data with R. Beside science, I am interested in literature, hiking and cycling.
Garrett Street is a movement and spatial ecologist specializing in habitat selection and space use across broad geographic extents and levels of biological organization. His research focuses on animal movement and behavioral trends as fine-scale mechanisms producing patterns of animal distribution and abundance at broad spatiotemporal scales. He completed his M.S. in Population & Conservation Biology at Texas State University-San Marcos in 2010, and his Ph.D. in Integrative Biology at The University of Guelph in 2014, before joining the Fieberg-Forester lab complex as a post-doctoral researcher at The University of Minnesota-Twin Cities. He is currently Assistant Professor of Wildlife and Landscape Agroecology at Mississippi State University, where he conducts research on feral swine (Sus scrofa) movement and utilization of agricultural landscapes; white-tailed deer (Odocoileus virginiana) space use in a landscape of fear; double-creasted cormorant (Phalacrocorax auritus) population dynamics in relation to landscape characteristics; moose (Alces alces) habitat selection and population dynamics across bioclimatic gradients; and trends in animal occupancy and abundance with respect to temporal variation in habitat quality and forage abundance in managed forest systems.
His Mississippi State University website is here.
I completed my Ph.D at the University of Minnesota in 2014 studying how American black bear movements, diet and physiology are influenced by habitat fragmentation in a largely agricultural region. My current research, for the Minnesota Zoo, is studying how moose movement and habitat selection are influenced by wolves. Additionally, I am continuing my previous research utilizing cardiac biologgers, inserted in bears subcutaneously in conjunction with GPS-collars, to better understand causes of stress in wildlife (e.g., road crossings, drones). During my free time I enjoy bowling, hiking with my dog (Phoebe), bicycling, being a music snob, and seeking out the hoppiest beers in all the land. I tweet with the handle @MDitmer
I was a post-doctoral researcher in the Fieberg lab prior to accepting a tenure track position at Concordia College in Moorhead MN. I extended a previously developed Bayesian abundance model (Fieberg et al. 2013) to allow modeling of multi-year survey data and incorporation of spatial predictors. The guiding quest throughout all of my research has been to answer interesting and important ecological questions with the appropriate quantitative techniques. When the models are working but I’m not, you can find me laughing, eating, or traipsing about in the woods with my family. I tweet at @aaarchmiller.