---
res:
  bibo_abstract:
  - All species are restricted in their distribution. Currently, ecological models
    can only explain such limits if patches vary in quality, leading to asymmetrical
    dispersal, or if genetic variation is too low at the margins for adaptation. However,
    population genetic models suggest that the increase in genetic variance resulting
    from dispersal should allow adaptation to almost any ecological gradient. Clearly
    therefore, these models miss something that prevents evolution in natural populations.
    We developed an individual-based simulation to explore stochastic effects in these
    models. At high carrying capacities, our simulations largely agree with deterministic
    predictions. However, when carrying capacity is low, the population fails to establish
    for a wide range of parameter values where adaptation was expected from previous
    models. Stochastic or transient effects appear critical around the boundaries
    in parameter space between simulation behaviours. Dispersal, gradient steepness,
    and population density emerge as key factors determining adaptation on an ecological
    gradient. @eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Jon
      foaf_name: Bridle, Jon
      foaf_surname: Bridle
  - foaf_Person:
      foaf_givenName: Jitka
      foaf_name: Polechova, Jitka
      foaf_surname: Polechova
      foaf_workInfoHomepage: http://www.librecat.org/personId=3BBFB084-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0003-0951-3112
  - foaf_Person:
      foaf_givenName: Masakado
      foaf_name: Kawata, Masakado
      foaf_surname: Kawata
  - foaf_Person:
      foaf_givenName: Roger
      foaf_name: Butlin, Roger
      foaf_surname: Butlin
  bibo_doi: 10.1111/j.1461-0248.2010.01442.x
  bibo_issue: '4'
  bibo_volume: 13
  dct_date: 2010^xs_gYear
  dct_identifier:
  - UT:000275635400008
  dct_language: eng
  dct_publisher: Wiley-Blackwell@
  dct_title: Why is adaptation prevented at ecological margins? New insights from
    individual-based simulations@
...