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A comparison of population viability measures.

Mario Trouillier1,2, Katrin M Meyer2, Luca Santini3

  • 1Institute for Botany and Landscape Ecology University Greifswald Greifswald Germany.

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|January 30, 2023
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Summary

Different population viability measures generally rank species similarly, but direct correlations are weak. Publishing raw data from population viability analysis (PVA) studies is recommended for better comparisons.

Keywords:
PVAextinctionpopulation dynamicspopulation‐viability analysissurvival

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Area of Science:

  • Ecology
  • Conservation Biology
  • Population Dynamics

Background:

  • Population viability can be assessed using various metrics like extinction probability or population size.
  • Conservation decisions often rely on these viability measures.
  • Systematic comparisons of different viability measures and their interconvertibility are lacking.

Purpose of the Study:

  • To quantitatively compare eight population viability measures.
  • To assess if different measures rank species and scenarios similarly.
  • To explore the convertibility of one viability measure into another for comparative studies.

Main Methods:

  • Simulated population dynamics for over 4500 virtual species.
  • Compared scenario rankings across different viability measures.
  • Assessed direct correlations between measures and the influence of model parameters.

Main Results:

  • Viability measures showed similar species rankings.
  • Direct correlations between measures were often weak and not generalizable.
  • Model parameters and data aggregation influence the relationships between measures.

Conclusions:

  • While different measures often agree on relative species viability, significant differences can lead to divergent rankings.
  • The choice of metric may not alter conservation outcomes in many cases.
  • Recommends publishing raw population viability analysis (PVA) data to facilitate meta-analyses and improve risk assessment.