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Published on: January 16, 2020
Time-to-detection occupancy methods: performance and utility for improving efficiency of surveys
Brian J Halstead1, Jonathan P Rose2, Patrick M Kleeman3
1Western Ecological Research Center, U.S. Geological Survey, Dixon Field Station, Dixon, California, 95620, USA.
Time-to-detection methods offer an efficient alternative to traditional occupancy surveys for species with high detection rates. While single surveys save time, time-to-detection data can optimize survey design for conservation goals.
Area of Science:
- Ecology
- Conservation Biology
- Wildlife Management
Background:
- Occupancy methods revolutionized species distribution studies by separating detection from ecological processes.
- Traditional repeated-measures occupancy designs require extensive data collection, including repeat visits or multiple observers, to account for imperfect detection.
Purpose of the Study:
- To compare the performance of time-to-detection methods against traditional repeated-measures designs for visual encounter surveys.
- To evaluate the suitability of time-to-detection methods for different species and survey conditions.
- To inform optimal survey design for ecological monitoring and conservation.
Main Methods:
- Collected time-to-detection data during repeated-measures occupancy surveys for four amphibian species.
- Compared time-to-detection methods to repeated-measures designs based on the location and precision of occurrence parameter estimates.
- Utilized time-to-detection survey results to optimize future survey designs.
Main Results:
- Time-to-detection methods were most effective for widespread species with high detection probabilities and rates.
- Performance was lower for cryptic species or when detection was influenced by survey conditions.
- Single surveys were most efficient in person-hours, but long durations may be needed for high detection probabilities.
Conclusions:
- Time-to-detection methods provide valuable data for optimizing survey efficiency and achieving conservation goals.
- Integrating time-to-detection data into existing repeated-measures surveys requires minimal field modifications but offers significant long-term time savings.
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