B.S., Middlebury College; M.S., Stanford University; Ph.D., Yale University
Mertes’ dissertation research evaluated the spatial scales (grains) at which species respond to environmental factors. From 2011 to 2015, she conducted focal sampling surveys and deployed miniaturized GPS/UHF tags on four bird species across Kenya, and developed a comprehensive database of field-derived and remotely sensed environmental data for the region. Mertes demonstrated that each species perceived and responded to its environment at characteristic spatial scales, which can be predicted by species attributes (primarily diet and home range size). These scales of response define important parameters for research and conservation, including the optimal size and spacing of study sites, appropriate resolution of remote sensing data, and minimum effective area for management actions.
Mertes grew up right outside Washington, D.C., and received her undergraduate degree from Middlebury College in 2004. She earned a master’s degree from Stanford University in 2008, where she used multi-temporal classification of Landsat imagery to estimate forest loss and land-cover change in Southeastern Mexico from 2000 to 2008. Mertes earned her Ph.D. from Yale University in May 2017.