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Population control methods in stochastic extinction and outbreak scenarios.

Juan Segura1, Frank M Hilker2, Daniel Franco1

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Adaptive limiter control (ALC) and adaptive threshold harvesting (ATH) help stabilize populations. ALC is effective for preventing extinction, while ATH is better for managing pest outbreaks, showing distinct impacts based on control intensity.

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Area of Science:

  • Ecology
  • Population Dynamics
  • Mathematical Biology

Background:

  • Fluctuating populations threaten ecological stability and resource management.
  • Allee effects and natural enemies can drive population extinctions or outbreaks.
  • Adaptive limiter control (ALC) and adaptive threshold harvesting (ATH) are control methods for population stabilization.

Purpose of the Study:

  • To investigate the effectiveness of ALC and ATH in managing populations prone to extinction and outbreak.
  • To analyze the influence of noise and biological parameters on control method efficacy.
  • To compare the performance of ALC and ATH across different ecological scenarios.

Main Methods:

  • Modeling populations with Allee effects and natural enemies.
  • Simulating extinction and outbreak scenarios under varying noise levels and biological parameters.
  • Applying and evaluating ALC and ATH control strategies.

Main Results:

  • ALC and ATH impact extinction and outbreak risks only at high control intensities.
  • ALC proves effective in extinction scenarios, while ATH can be counterproductive.
  • ATH is effective in outbreak scenarios, whereas ALC may be counterproductive.

Conclusions:

  • The choice between ALC and ATH depends critically on whether the goal is to prevent extinction or manage outbreaks.
  • Control intensity is a key factor determining the success of both ALC and ATH.
  • Ecological models with Allee effects and natural enemies provide a framework for testing population control strategies.