David William Johnston
David William Johnston
Associate Professor of the Practice of Marine Conservation Ecology
Dr. David W. Johnston is an Associate Professor of the Practice of Marine Conservation & Ecology at Duke University and Director of the Duke Marine Robotics and Remote Sensing Lab. Johnston holds a PhD from Duke University and received post-doctoral training at the Monterey Bay Aquarium Research Institute in California. His professional experience ranges from leading research programs for NOAA to working as an ecologist within the NGO sector. Johnston’s research program focuses on the ecology and habitat needs of marine vertebrates in relation to pressing conservation issues such as climate change, habitat loss, ocean noise, incidental mortality and overharvests. He has published extensively in top journals in the fields of conservation biology, oceanography, marine ecology and marine policy on research that spans tropical, temperate and polar biomes. Johnston is an innovative teacher with experience in both large and small classrooms, and is skilled in Massive Open Online Courses, field-based learning situations, data visualization and digital textbook development and publication.
In The News
Seymour, A. C., J. T. Ridge, E. Newton, A. B. Rodriguez, and D. W. Johnston. “Geomorphic response of inlet barrier islands to storms.” Geomorphology 339 (August 15, 2019): 127–40. https://doi.org/10.1016/j.geomorph.2019.04.021.
Gray, P. C., A. B. Fleishman, D. J. Klein, M. W. McKown, V. S. Bézy, K. J. Lohmann, and D. W. Johnston. “A convolutional neural network for detecting sea turtles in drone imagery.” Methods in Ecology and Evolution 10, no. 3 (March 1, 2019): 345–55. https://doi.org/10.1111/2041-210X.13132.
Gray, P. C., K. C. Bierlich, S. A. Mantell, A. S. Friedlaender, J. A. Goldbogen, and D. W. Johnston. “Drones and convolutional neural networks facilitate automated and accurate cetacean species identification and photogrammetry.” Methods in Ecology and Evolution, January 1, 2019. https://doi.org/10.1111/2041-210X.13246.
Windle, A. E., D. Shane Hooley, and D. W. Johnston. “Robotic vehicles enable high-resolution light pollution sampling of sea turtle nesting beaches.” Frontiers in Marine Science 5, no. DEC (December 20, 2018). https://doi.org/10.3389/fmars.2018.00493.
Region-wide integration of UAS technology into DOD natural resource management through demonstration, coordination, training, and outfitting. awarded by Naval Facilities Engineering Command
Enhancing the capability and efficiency of DoD land management by using commercial unmanned aerial vehicles to assess the impacts of fires and coastal storms awarded by Department of Defense
Collaborative Research: Foraging behavior and ecological role of the least studied Antarctic krill predator awarded by National Science Foundation
BIOLOGY 335A: Drones in Marine Biology, Ecology, and Conservation (BIOLOGY 335A: Drones in Marine Biology, Ecology, and Conservation)
PUBPOL 445A: Climate Change in the Marine Environment (PUBPOL 445A: Climate Change in the Marine Environment)
ENERGY 795: Connections in Energy: Interdisciplinary Team Projects (ENERGY 795: Connections in Energy: Interdisciplinary Team Projects)
ENVIRON 745A: Climate Change in the Marine Environment (ENVIRON 745A: Climate Change in the Marine Environment)
BIOLOGY 293A: Research Independent Study (BIOLOGY 293A: Research Independent Study)
area(s) of expertiseClimate Change Conservation Ecology Endangered/Threatened Species Marine Science Oceanography Tropical Ecology Advisor: MSC Doctoral Program
315/BOOKOUT/DUKE Marine Lab, 135 Duke Marine Lab Rd.
Beaufort, NC 28516
Ph.D., Duke University (2004)