Profile
Casey Youngflesh
Biological Sciences
Assistant Professor
864-656-3015
Long Hall 206 [Office]
Educational Background
Ph.D., Ecology and Evolution, Stony Brook University, 2018
Master of Con. Bio., Conservation Biology, University of New South Wales, 2011
B.S., Ecology and Evolution, University of California, Santa Cruz, 2007
Profile/About Me
Work in my lab is focused on understanding how and why population- and community-level processes vary across environmental gradients. In practice, this includes research focused on biodiversity, demography, phenology (the timing of seasonal events), and how these are responding to ongoing global change. My research has a strong quantitative focus, using statistical and computational tools, such as hierarchical Bayesian modeling and deep learning, to leverage data streams from a variety of sources, including community science projects, satellite-based sensors, and large-scale field efforts. While I am interested in ecological process across a wide range of taxonomic groups, my current work is focused primarily on birds and marine mammals.
Selected Publications
Youngflesh, C, GA Montgomery, JF Saracco, DAW Miller, RP Guralnick, AH Hurlbert, RB Siegel, R LaFrance, MW Tingley. 2023. Demographic consequences of phenological asynchrony for North American songbirds. PNAS 120:e2221961120.
Youngflesh, C, JF Saracco, RB Siegel, MW Tingley. 2022. Abiotic conditions shape spatial and temporal morphological variation in North American birds. Nature Ecology and Evolution 6:1860-1870.
Youngflesh, C, J Socolar, A Arab, RP Guralnick, AH Hurlbert, R LaFrance, SJ Mayor, DAW Miller, MW Tingley. 2021. Migratory strategy drives species-level variation in bird sensitivity to green-up. Nature Ecology and Evolution 5:987–994.
Youngflesh, C, Y Li, HJ Lynch, K Delord, C Barbraud, R Ji, S Jenouvrier. 2021. Lack of synchronized breeding success in a seabird community: Extreme events, niche separation, and environmental variability. Oikos 130:1943-1953.
Youngflesh, C, F Jones, HJ Lynch, J Arthur, Z Machá?ková, H Torsey, T Hart. 2021. Large-scale assessment of intra- and inter-annual breeding success using a remote camera network. Remote Sensing in Ecology and Conservation 7:97-108.
Youngflesh, C, S Jenouvrier, JT Hinke, L DuBois, J St. Leger, WZ Trivelpiece, SG Trivelpiece, HJ Lynch. 2018. Rethinking “normal”: The role of stochasticity in the phenology of a synchronously breeding seabird. Journal of Animal Ecology 87:682-690.
Youngflesh, C. 2018. MCMCvis: Tools to visualize, manipulate, and summarize MCMC output. Journal of Open Source Software 3:640.
