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A persistence criterion for metapopulations.

Renato Casagrandi1, Marino Gatto

  • 1Dipartimento di Elettronica e Informazione, Politecnico di Milano, Via Ponzio 34/5, Milano, Italy. casagran@elet.polimi.it

Theoretical Population Biology
|April 24, 2002
PubMed
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Ecologists can now predict population persistence in fragmented habitats using a new metapopulation model. This model incorporates demographic stochasticity and provides a clear persistence criterion based on dispersal success.

Area of Science:

  • Ecology
  • Population Dynamics
  • Conservation Biology

Background:

  • Habitat fragmentation poses a significant threat to population persistence.
  • Understanding factors influencing local population survival is crucial for ecological studies.

Purpose of the Study:

  • To develop a simple condition for evaluating population persistence in fragmented habitats.
  • To incorporate demographic stochasticity into a spatially implicit metapopulation model.

Main Methods:

  • Utilized a Markovian model with discrete individuals to simulate metapopulation dynamics.
  • Defined local extinction by the death or dispersal of the last individual in a patch.
  • Calculated the expected number of successful dispersers (E(0)) from a single-individual patch.

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Main Results:

  • The model predicts stationary distributions of local abundances, comparable to field data.
  • Dispersal plays a key role in shaping local abundance distributions.
  • A persistence criterion, E(0)>1, was derived and analytically computed.

Conclusions:

  • The study provides an accessible method for assessing population persistence in fragmented environments.
  • The derived criterion E(0)>1 offers a practical tool for conservation planning.
  • The model allows for the computation of persistence-extinction boundaries based on species traits.