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Speciation along Environmental Gradients
Michael Doebeli and Ulf Dieckmann
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Resource Competition Dynamics of population sizes ni of strategy si
distribution k(s) competition function a(s-s0) resource gradient s s0 Dynamics of population sizes ni of strategy si
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Resultant Pairwise Invasibility Plots
With k = k0 N(0,σk) and a = N(0,σa) we obtain for σa > σk for σa < σk – – + + + + Mutant trait s‘ Mutant trait s‘ – – Resident trait s Resident trait s Evolutionary Stability Evolutionary Branching
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Evolutionary Branching
Branching point Convergence to disruptive selection
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Sexual Cohesion Can Prevent Branching
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Mating Character
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Sexual Evolutionary Branching
Assortative Mating Random Mating Disassortative Mating Evolutionary Branching Point This mechanism also works when assortative mating is based on a marker character and when evolutionary branching is driven by interspecific interactions.
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Spatial Gradient Maximum of carrying capacity varies with location
Trait value at maximum Spatial location
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Spatial Evolutionary Branching
Assortative Mating Random Mating Disassortative Mating Spatial Gradient (vertical direction is ecologically neutral) Evolutionary Branching Point
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Spatial Evolutionary Branching
Trait value Time Spatial location
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Spatial Gradient Facilitates Branching
Branching range for non-spatial model Extra branching range due to gradient Migration scale σa / σk 1
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Intermediate Slopes Are Most Speciation-Prone
No branching expected for non-spatial model σa = Extra branching range due to gradient Migration scale g σs / σk 1
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Full Characterization
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Summary Spatial gradients can greatly facilitate branching
Sympatric speciation processes may lead to patterns of species abutment The responsible mechanism is not isolation by distance but instead local adaptation leading to frequency-dependent disruptive selection Intermediate slopes appear to be most speciation-prone Sympatric speciation processes may lead to patterns of peripheral speciation
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Peripheral Speciation?
Optimal phenotype Species range Expected speciation zone?
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