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Density Dependence During Evolutionary Rescue Increases Extinction Risk but Does Not Prevent Adaptation.

Laure Olazcuaga1,2, Brett A Melbourne3, Scott W Nordstrom3,4

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This summary is machine-generated.

Density dependence increases extinction risk but can favor adaptation in populations facing environmental change. Understanding this balance is crucial for conservation strategies.

Keywords:
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Area of Science:

  • Ecology
  • Evolutionary Biology
  • Conservation Biology

Background:

  • Evolutionary rescue enables populations to adapt to environmental changes.
  • The role of density dependence (e.g., competition) in evolutionary rescue is debated, with conflicting theoretical predictions.
  • Previous studies primarily focused on density-independent conditions.

Purpose of the Study:

  • To empirically investigate how density dependence influences the success of evolutionary rescue.
  • To compare evolutionary rescue under density-dependent versus density-independent conditions.
  • To reconcile conflicting theoretical predictions regarding density dependence and adaptation.

Main Methods:

  • Experimental populations were exposed to a stressful environment for six generations.
  • Conditions varied between density-dependent and density-independent.
  • Evolution was allowed in some populations, while others had evolution prevented by frequent replacement of individuals.

Main Results:

  • Density dependence suppressed population size and increased extinction risk.
  • Density independence facilitated population growth, particularly in genetically diverse populations where evolution was possible.
  • Despite increased extinction risk, surviving density-dependent populations showed enhanced intrinsic and realized fitness, indicating adaptation occurred.

Conclusions:

  • Density dependence can simultaneously increase extinction risk and promote adaptation.
  • Findings reconcile theoretical discrepancies regarding the dual role of density dependence in evolutionary rescue.
  • Incorporating density dependence into conservation strategies is essential for predicting population persistence and adaptation potential.