Identifying Past and Future Climate Change Refugia for Midwestern Birds
I will conduct an assessment of climate-mediated range shifts to evaluate the refugial capacity of protected areas for birds throughout the Upper Great Lakes region. We have four objectives: 1) analyze long-term range shifts to identify which birds are most impacted by climate change; 2) evaluate if and how protected areas mediate colonization and extinction dynamics for multiple species and communities; 3) model climate suitability for a diversity of species and communities under different future emissions and land use scenarios; and 4) provide area-specific portfolios of those species and guilds that are likely to become more or less common in the future to inform management priorities. To do so, we develop a novel analytical framework for modeling species distributions based on integrating data from multiple, long-term avian monitoring programs across the region.
Winter Climate and Resource Variability Entrain the Dynamics of Avian Irruption and Reproductive Success
While trends in climate change are often linked to shifts in animal distributions, movement, and demography, variability in climate and resource availability also has significant effects on species behavior and persistence. In particular, harsh seasonal conditions—especially those prone to extremes influenced by environmental variability—pose challenges to animals trying to survive within seasonal environments. This dissertation explores how winter climate and resource variability influence irruptive migration and productivity in birds.
Climate is often considered the most important factor limiting species ranges, and many previous studies predict species range shifts that track climatic niche (niche conservatism). However, long-term and/or fine-scale studies show idiosyncratic responses to climate change.
My research focused on Giant Kangaroo Rats (Dipodomys ingens), a state (CA) and federally listed endangered species. I examined and predicted current and future range limits using climatic and environmental variables via Maximum Entropy modeling.
I based modeling decisions and management suggestions on the potential for local adaptation of two isolated populations and novel biotic interactions with California Ground Squirrel (Otospermophilus beecheyi).
The results of this work are now published in Diversity in Distributions and are available here.
The fear diet: Risk, refuge, and biological control by omnivorous prey.