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Using Bayesian Population Viability Analysis to Define Relevant Conservation Objectives.

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Sustainable wood frog populations require at least 50 vernal pools, with 16% producing metamorphs. This research aids adaptive management by setting clear conservation objectives for metapopulation persistence.

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Area of Science:

  • Ecology
  • Conservation Biology
  • Wildlife Management

Background:

  • Adaptive management is crucial for natural resource conservation amid uncertainty.
  • Defining measurable conservation objectives, like sustainable metapopulations, is key but challenging.
  • Quantifying population persistence thresholds is difficult for stakeholders.

Purpose of the Study:

  • To use Bayesian metapopulation viability analysis (BMPVA) to define sustainable wood frog (Lithobates sylvatica) metapopulation characteristics.
  • To demonstrate how BMPVA results can inform adaptive management objectives.
  • To explore the relationship between pool numbers, breeding success, and metapopulation persistence.

Main Methods:

  • Conducted a Bayesian metapopulation viability analysis (BMPVA) using dynamic occupancy models.
  • Estimated breeding occurrence and metamorphosis success in wood frog metapopulations.
  • Explored scenarios with varying numbers of vernal pools to assess quasi-extinction risk.

Main Results:

  • A minimum of 50 vernal pools is suggested for long-term metapopulation persistence.
  • Approximately 16% of pools producing metamorphs is associated with stable metapopulations.
  • A utility function was developed to balance ecological and financial objectives for decision-making.

Conclusions:

  • BMPVA provides a quantitative framework for setting conservation objectives for metapopulations.
  • The study offers a method to integrate viability analysis with stakeholder-driven management goals.
  • This approach supports transparent and optimal decision-making in adaptive management strategies.