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Geometric Insights into evolutionary rescue dynamics in a two-deme model.

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Joint evolutionary rescue is less likely in fragmented populations with complex traits. Higher trait dimensionality reduces the probability of simultaneous adaptation, highlighting the importance of genetic variation and migration for survival in changing environments.

Keywords:
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Area of Science:

  • Evolutionary biology
  • Population genetics
  • Ecology

Background:

  • Fragmented populations face challenges adapting to rapid environmental changes.
  • Understanding evolutionary rescue is vital for species persistence.

Purpose of the Study:

  • To investigate evolutionary rescue mechanisms in fragmented populations under abrupt environmental changes.
  • To determine the impact of phenotypic space dimensionality on joint evolutionary rescue.
  • To identify factors influencing adaptive potential in metapopulations.

Main Methods:

  • Utilized a two-deme metapopulation model within Fisher's geometric model framework.
  • Employed analytical derivations and simulations to analyze phenotypic optima and rescue domains.
  • Calculated intersection volumes in phenotypic space to assess joint rescue probabilities.

Main Results:

  • The probability of joint evolutionary rescue decreases as the dimensionality of the phenotypic space increases.
  • Species with complex trait configurations face greater challenges for simultaneous adaptation.
  • De novo mutations, local adaptation, and migration rates are critical for evolutionary rescue.

Conclusions:

  • Joint evolutionary rescue is constrained by phenotypic complexity.
  • Metapopulation dynamics and genetic factors significantly influence adaptive capacity.
  • This research provides insights into species' resilience against environmental disturbances.