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Detection parameters for managing invasive rats in urban environments.
Henry R Mackenzie1,2, M Cecilia Latham3, Dean P Anderson3
1Center for Biodiversity and Restoration Ecology, School of Biological Sciences, Te Herenga Waka-Victoria University of Wellington, Wellington, 6012, New Zealand.
Scientific Reports
|October 3, 2022
Summary
Understanding invasive ship rat (Rattus rattus) ecology in urban areas is crucial for effective control. This study provides optimal device spacing and surveillance strategies for eradicating ship rats, informing global pest management initiatives.
Area of Science:
- Ecology
- Invasive Species Management
- Pest Control
Background:
- Effective management of invasive ship rats (Rattus rattus) is hindered by limited ecological data in urban and peri-urban environments.
- Understanding rat behavior and detection probabilities is essential for successful eradication programs.
Purpose of the Study:
- To estimate ship rat detection parameters (σ, ε₀, θ, and g₀) in Wellington, New Zealand.
- To use these parameters in simulation models to determine optimal device spacing and surveillance strategies for ship rat eradication and confirmation.
Main Methods:
- Radiomarking of ship rats to collect data on their movement and interaction with detection devices (bait stations, chew cards, WaxTags).
- Utilizing simulation models to estimate eradication and surveillance parameters based on empirical detection data.
- Developing a predictive model linking detection distance (σ) and interaction probability (g₀) with individual variability.
Main Results:
- Mean home range radius (σ) was 25.37 m (1.21 ha); mean nightly encounter probability (ε₀) was 0.38; mean interaction probability (θ) was 0.34; mean nightly interaction probability at home range center (g₀) was 0.13.
- Simulations indicated that a 25 m × 25 m grid of bait stations for ~500 days could achieve eradication.
- Confirmation of eradication requires 3.25 chew cards/ha or 3.75 WaxTags/ha for 14 nights, with densities halved under specific conditions (e.g., 28-night surveillance).
Conclusions:
- The study provides empirically-derived parameters for optimizing ship rat eradication strategies in urban settings.
- Recommended device spacing and surveillance densities offer a framework for efficient and cost-effective pest management.
- Adaptive revision of device density based on habitat-specific detection is advised for enhanced program success globally.

