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Code and data from: Pushed to the edge: spatial sorting can slow down invasions

Authors: Shaw, Allison K; Lutscher, Frithjof; Popovic, Lea;

Code and data from: Pushed to the edge: spatial sorting can slow down invasions

Abstract

This contains model code and data from the paper titled "Pushed to the edge: spatial sorting can slow down invasions" By: Allison K. Shaw, Frithjof Lutscher, Lea Popovic Published in: Ecology Letters Abstract: Our ability to understand population spread dynamics is complicated by rapid evolution, which renders simple ecological models insufficient. If dispersal ability evolves, more highly-dispersive individuals may arrive at the population edge than less-dispersive individuals (spatial sorting), accelerating spread. If individuals at the low-density population edge benefit (escape competition), high dispersers have a selective advantage (spatial selection). These two processes are often described as forming a positive feedback loop; they reinforce each other, leading to faster spread. Although spatial sorting is close to universal, this form of spatial selection is not: low densities can be detrimental for organisms with Allee effects. Here, we present two conceptual models to explore the feedback loops that form between spatial sorting and spatial selection. We show that the presence of an Allee effect can reverse the positive feedback loop between spatial sorting and spatial selection, creating a negative feedback loop that slows population spread.

Keywords

Allee effect, biological invasion, dispersal kernel, eco-evolutionary dynamics, integrodifference equation, invasion speed, range expansion, spread speed

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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