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Monitoring Whooping Crane Abundance Using Aerial Surveys: Influences on Detectability
Bradley N Strobel1, Matthew J Butler1
1Aransas National Wildlife Refuge, United States Fish and Wildlife Service 1 Wildlife Circle, Austwell, TX, 77950, USA.
This study evaluated new aerial survey methods for endangered whooping cranes (Grus americana). Distance sampling improved monitoring, but factors like sun position and observer experience significantly impact detectability.
Area of Science:
- Wildlife Biology
- Conservation Science
- Ornithology
Background:
- Traditional aerial surveys for endangered whooping cranes (Grus americana) since 1950 have known limitations.
- Existing methods raise questions about efficacy, defensibility, repeatability, and future utility for conservation.
- Improved and standardized monitoring techniques are crucial for effective population management.
Purpose of the Study:
- To assess the efficacy of line transect-based distance sampling for aerial surveys of whooping cranes.
- To evaluate factors influencing detectability, including observer experience, sun position, distance, and group size.
- To inform the design and implementation of future whooping crane monitoring efforts.
Main Methods:
- Conducted a preliminary distance sampling test during the 2010-2011 winter survey.
- Utilized an experimental decoy survey to systematically assess detectability variables.
- Analyzed impacts of observer experience, sun angle, distance from transect, and group size on detection rates.
Main Results:
- Preliminary distance sampling indicated a detectability of 0.558 within 500m of transects.
- Decoy detectability increased with group size and showed a quadratic relationship with distance.
- Detectability was significantly higher with sun overhead (2.7x) or at observer's back (3.9x) compared to in eyes; inexperienced observers misclassified targets more often.
Conclusions:
- Line transect distance sampling shows promise for improving whooping crane aerial surveys.
- Observer experience and environmental conditions like sun position critically affect detection accuracy.
- Understanding these factors is essential for refining survey protocols and ensuring reliable population estimates.
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