Optimizing control of a freshwater invader in time and space

Area of Science:

• Ecology
• Invasive Species Management
• Conservation Biology

Background:

• Invasive species threaten native biodiversity and ecosystem functions globally.
• Effective control of invasive aquatic species requires optimized resource allocation.
• Limited science-based guidance exists for spatial and temporal management of removal efforts.

Purpose of the Study:

• To explore alternative management strategies for invasive green sunfish (Lepomis cyanellus).
• To compare static versus dynamic decision rules for invasive species removal.
• To evaluate the efficacy of variable allocation of removal effort in time and space.

Main Methods:

• Utilized Bayesian hierarchical modeling to estimate demographic parameters from existing removal data.
• Analyzed two intensive fish removal programs in Arizona's Bill Williams River basin.
• Simulated alternative management strategies with variable effort allocation.

Main Results:

• Both removal programs showed a probability of at least 0.39 for eradication.
• Population suppression, not eradication, was achievable with reduced effort.
• Dynamic management, responding to real-time abundance, enhanced removal efficiency.
• High removal frequency, program duration, and post-capture monitoring were crucial for success.

Conclusions:

• Quantitative removal models are valuable tools for improving invasive species management programs.
• Dynamic, adaptive strategies can increase the efficiency of invasive species control.
• Successful population control relies on sustained effort, frequent removal, and thorough monitoring.