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The phenomenology of niche evolution via quantitative traits in a black-hole sink

Overview of attention for article published in Proceedings of the Royal Society B: Biological Sciences, January 2003
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Article details
Title
The phenomenology of niche evolution via quantitative traits in a black-hole sink
Published in
Proceedings of the Royal Society B: Biological Sciences, January 2003
DOI 10.1098/rspb.2002.2219
Pubmed ID
Authors
Abstract

Previous studies of adaptive evolution in sink habitats (in which isolated populations of a species cannot persist deterministically) have highlighted the importance of demographic constraints in slowing such evolution, and of immigration in facilitating adaptation. These studies have relied upon either single-locus models or deterministic quantitative genetic formulations. We use individual-based simulations to examine adaptive evolution in a 'black-hole' sink environment where fitness is governed by a polygenic character. The simulations track both the number of individuals and their multi-locus genotypes, and incorporate, in a natural manner, both demographic and genetic stochastic processes. In agreement with previous studies, our findings reveal the central parts played by demographic constraints and immigration in adaptation within a sink (adaptation is more difficult in environments with low absolute fitness, and higher immigration can accelerate adaptation). A novel finding is that there is a 'punctuational' pattern in adaptive evolution in sink environments. Populations typically stay maladapted for a long time, and then rapidly shift into a relatively adapted state, in which persistence no longer depends upon recurrent immigration.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 7 4%
United Kingdom 3 2%
France 3 2%
Norway 2 1%
Brazil 2 1%
Vietnam 1 <1%
India 1 <1%
Germany 1 <1%
Czechia 1 <1%
Other 3 2%
Unknown 169 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 48 25%
Student > Ph. D. Student 38 20%
Professor > Associate Professor 19 10%
Professor 17 9%
Student > Master 14 7%
Other 34 18%
Unknown 23 12%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 112 58%
Environmental Science 25 13%
Biochemistry, Genetics and Molecular Biology 9 5%
Earth and Planetary Sciences 4 2%
Mathematics 3 2%
Other 9 5%
Unknown 31 16%