کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4502439 1624164 2013 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The influence of demographic stochasticity on evolutionary dynamics and stability
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
پیش نمایش صفحه اول مقاله
The influence of demographic stochasticity on evolutionary dynamics and stability
چکیده انگلیسی

We derive the frequency-dependent selection coefficient caused by “demographic” stochasticity resulting from the random sampling of opponents an individual faces during behavioral “contests” with other individuals. The mean, variance, and higher moments of fitness all influence the direction and strength of selection. A frequency-dependent trait can be stable when an individual’s fitness depends upon an infinite number of contests with other individuals and unstable when it depends upon a finite number of contests. Conversely, unstable equilibria for an infinite number of contests can be stable when there is a finite number of contests. At stable equilibria for a finite number of contests, higher moments of fitness can outweigh the joint influence of the first two moments so that natural selection favors “within-generation” or developmental-trait variation (also known as phenotypic plasticity) contrary to the claim that natural selection always acts against such variation. We use second-moment estimates of the fitness functions in a diffusion approximation to compute fixation probabilities of competing strategies. These estimates are shown to be qualitatively consistent with those derived from simulations when population sizes are sufficiently large to ignore the contribution of higher-moment terms. We also show that explicit solutions to the diffusion approximation only exist for pair-wise interactions that lead to positive frequency-dependent selection.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Theoretical Population Biology - Volume 88, September 2013, Pages 47–56
نویسندگان
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