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Optimising Control Device Luring Strategies for Invasive Predator Control: A Modelling Approach.

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Trap-shyness in invasive brushtail possums (Trichosurus vulpecula) can be quantified using Bayesian methods. Combining lures can improve trapping efficacy and achieve faster population reduction.

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Area of Science:

  • Ecology
  • Wildlife Management
  • Conservation Biology

Background:

  • Invasive predators threaten native biodiversity.
  • Trap-shyness in invasive species complicates population control and monitoring.
  • Effective lure strategies are crucial for maximizing trapping efficacy.

Purpose of the Study:

  • To quantify trap-shyness in invasive brushtail possums (Trichosurus vulpecula).
  • To simulate and evaluate different luring strategies for invasive predator control.
  • To inform wildlife management decisions for pest extirpation.

Main Methods:

  • Bayesian estimation to quantify trap-shyness in a wild brushtail possum population.
  • Development of a stochastic, individual-based model to simulate luring scenarios.
  • Analysis of capture data to infer population trappability.

Main Results:

  • The brushtail possum population exhibited distinct trappable and trap-shy groups.
  • A low mean nightly probability of trap interaction (0.28) was estimated.
  • Simulations indicated that simultaneous use of multiple lures enhances population knockdown compared to single lures or sequential switching.

Conclusions:

  • Wildlife managers can infer population trappability from capture data.
  • Optimized luring strategies, particularly using combined lures, can significantly improve invasive predator control.
  • Enhanced luring can be vital for capturing residual individuals in post-control populations.