Population estimates derived from monitoring efforts can be sensitive to the survey method selected, potentially leading to biased estimates and low precision relative to true population size. While small unmanned aerial systems (UAS) present a unique opportunity to survey avian populations while limiting disturbance, relatively little is known about how this method compares with more traditional approaches. In this study we compared population estimates of Snowy (Egretta thula) and Cattle Egrets (Bubulcus ibis) in a mixed-species colony in the Chesapeake Bay (Maryland, USA) derived from UAS photo counts, flush counts, flight-line surveys, and in-colony nest counts along with the time required to derive an estimate via each approach. We found that UAS counts and flush counts produced lower pair estimates than nest counts and flight-line surveys (P < 0.05), and required dramatically less time (x̄ = 6, 8, 84 and 90 min, respectively). These results suggest that while UAS have the potential to collect valuable survey data from breeding colonies that are hard to reach or are especially sensitive to the disturbance inherent in other methods, inherent biases should be considered and caution should be used when comparing results between survey types.
A comparison of direct & indirect survey methods for estimating colonial nesting waterbird populations
Waterbirds
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Abstract
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | A comparison of direct & indirect survey methods for estimating colonial nesting waterbird populations |
| Series title | Waterbirds |
| DOI | 10.1675/063.045.0209 |
| Volume | 45 |
| Issue | 2 |
| Year Published | 2023 |
| Language | English |
| Publisher | Waterbird Society |
| Contributing office(s) | Patuxent Wildlife Research Center, Eastern Ecological Science Center |
| Description | 10 p. |
| First page | 189 |
| Last page | 198 |
| Country | United States |
| State | Maryland |
| Other Geospatial | Chesapeake Bay |
| Google Analytic Metrics | Metrics page |