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Optimal timing to estimate moose Alces alces demographic parameters using remote cameras
Hailey Boone1,2, Mark Romanski3, Kenneth Kellner4
1Department of Fisheries and Wildlife, Michigan State University, Lansing, MI, USA. hailey.boone@colostate.edu.
Scientific Reports
|July 2, 2025
Summary
Optimal camera survey timing and placement are crucial for accurate moose (Alces alces) demographic estimates. Mid-June to mid-July and December to January surveys with high camera density provide the most reliable data.
Area of Science:
- Wildlife ecology and management
- Conservation biology
- Population dynamics
Background:
- Accurate demographic parameter estimation is vital for effective species management.
- Survey timing, duration, and camera placement significantly impact estimate precision and accuracy.
Purpose of the Study:
- To evaluate the influence of survey duration, timing, camera density, and placement on moose (Alces alces) detection rates, demographic ratios, and relative abundance estimates in Isle Royale National Park.
- To identify optimal survey strategies for precise and accurate moose population monitoring.
Main Methods:
- Utilized motion-activated camera images to collect data on moose.
- Analyzed detection rates, sex and age ratios (calf:cow, bull:cow), and relative abundance estimates.
- Investigated the effects of varying survey durations, timings, camera densities (cameras/km²), and on- vs. off-trail placement.
Main Results:
- Detection rates varied with moose life history patterns, indicating optimal survey periods.
- 25-day surveys during mid-June–mid-July and early December–early January yielded consistent and precise calf:cow and bull:cow ratios.
- On-trail cameras increased detection rates and relative abundance estimates but reduced precision for summer ratios; higher camera densities (>3 cameras/km²) improved precision and consistency.
Conclusions:
- Optimal survey periods for moose demographic parameters are linked to life history events and high detection rates.
- Recommended survey strategy: 25-day periods in mid-June–mid-July and December–January, using >3 cameras/km² placed on and off-trail for estimating relative abundance.
- The methodology can be adapted for optimizing survey strategies for other species.

