title: Population census of a large common tern colony with a small unmanned aircraft.
abstract: Small unmanned aircraft systems (UAS) may be useful for conducting high-precision, low-disturbance waterbird surveys, but limited data exist on their effectiveness. We evaluated the capacity of a small UAS to census a large (>6,000 nests) coastal Common tern (Sterna hirundo) colony of which ground surveys are particularly disruptive and time-consuming. We compared aerial photographic tern counts to ground nest counts in 45 plots (5-m radius) throughout the colony at three intervals over a nine-day period in order to identify sources of variation and establish a coefficient to estimate nest numbers from UAS surveys. We also compared a full colony ground count to full counts from two UAS surveys conducted the following day. Finally, we compared colony disturbance levels over the course of UAS flights to matched control periods. Linear regressions between aerial and ground counts in plots had very strong correlations in all three comparison periods (R2 = 0.972-0.989, P < 0.001) and regression coefficients ranged from 0.928-0.977 terns/nest. Full colony aerial counts were 93.6% and 94.0%, respectively, of the ground count. Varying visibility of terns with ground cover, weather conditions and image quality, and changing nest attendance rates throughout incubation were likely sources of variation in aerial detection rates. Optimally timed UAS surveys of Common tern colonies following our method should yield population estimates in the 93-96% range of ground counts. Although the terns were initially disturbed by the UAS flying overhead, they rapidly habituated to it. Overall, we found no evidence of sustained disturbance to the colony by the UAS. We encourage colonial waterbird researchers and managers to consider taking advantage of this burgeoning technology.
authors: Department of Natural Resource Sciences, McGill University, Ste-Anne-de-Bellevue, Québec, Canada; Avian Science and Conservation Centre of McGill University, Ste-Anne-de-Bellevue, Québec, Canada.
authors: Dominique
authors: D
authors: Chabot
authors: Département des Sciences, Université Sainte-Anne, Pointe-de-l'Église, Nova Scotia, Canada.
authors: Shawn R
authors: SR
authors: Craik
authors: Avian Science and Conservation Centre of McGill University, Ste-Anne-de-Bellevue, Québec, Canada.
authors: David M
authors: DM
authors: Bird
mesh_terms: D000401:Aircraft; D000818:Animals; D046091:Charadriiformes / Q000254:growth & development* / Q000502:physiology; D005843:Geography; D006185:Habituation, Psychophysiologic / Q000502:physiology; D009425:Nesting Behavior / Q000502:physiology; D009509:New Brunswick; D010781:Photography / Q000379:methods*; D011156:Population Density; D011157:Population Dynamics; D015203:Reproducibility of Results