scholarly journals Spatial sorting as the spatial analogue of natural selection

2019 ◽  
Vol 12 (2) ◽  
pp. 155-163 ◽  
Author(s):  
Ben L. Phillips ◽  
T. Alex Perkins
Keyword(s):  
Natural Selection ◽  
Spatial Sorting

scholarly journals Reply to Lee: Spatial sorting, assortative mating, and natural selection

2011 ◽  
Vol 108 (31) ◽  
pp. E348-E348 ◽  
Author(s):  
R. Shine ◽  
G. P. Brown ◽  
B. L. Phillips
Keyword(s):  
Natural Selection ◽  
Assortative Mating ◽  
Spatial Sorting

scholarly journals Evolution of dispersal can rescue populations from expansion load

2018 ◽  
Author(s):  
Stephan Peischl ◽  
Kimberly J. Gilbert
Keyword(s):  
Natural Selection ◽  
Genetic Drift ◽  
Evolutionary Biology ◽  
Empirical Work ◽  
Leading Edge ◽  
Slowing Down ◽  
Spatial Sorting ◽  
Mean Fitness ◽  
Expansion Load ◽  
Probability Of Fixation

AbstractUnderstanding the causes and consequences of range expansions or range shifts has a long history in evolutionary biology. Recent theoretical, experimental, and empirical work has identified two particularly interesting phenomena in the context of species range expansions: (i) gene surfing and the relaxation of natural selection, and (ii) spatial sorting. The former can lead to an accumulation of deleterious mutations at range edges, causing an expansion load and slowing down expansion. The latter can create gradients in dispersal-related traits along the expansion axis and cause an acceleration of expansion. We present a theoretical framework that treats spatial sorting and gene surfing as spatial versions of natural selection and genetic drift, respectively. This model allows us to study analytically how gene surfing and spatial sorting interact, and to derive the probability of fixation of pleiotropic mutations at the expansion front. We use our results to predict the co-evolution of mean fitness and dispersal rates, taking into account the effects of random genetic drift, natural selection and spatial sorting, as well as correlations between fitnessand dispersal-related traits. We identify a “rescue effect” of spatial sorting, where the evolution of higher dispersal rates at the leading edge rescues the population from incurring expansion load.

scholarly journals Spatial sorting as the spatial analogue of natural selection

2017 ◽  
Author(s):  
Ben L. Phillips ◽  
T. Alex Perkins
Keyword(s):  
Natural Selection ◽  
Habitat Quality ◽  
Rapid Evolution ◽  
General Mechanism ◽  
Dispersal Ability ◽  
Spatial Sorting ◽  
Temporal Aspects ◽  
Varying Environments ◽  
High Level ◽  
Dispersal Evolution

AbstractIn most systems, dispersal occurs despite clear fitness costs to dispersing individuals. Theory posits that spatial heterogeneity in habitat quality pushes dispersal rates to evolve towards zero, while temporal heterogeneity in habitat quality favours non-zero dispersal rates. One aspect of dispersal evolution that has received a great deal of recent attention is a process known as spatial sorting, which has been referred to as a “shy younger sibling” of natural selection. More precisely, spatial sorting is the process whereby variation in dispersal ability is sorted along density clines and will, in nature, often be a transient phenomenon. Despite this transience, spatial sorting is likely a general mechanism behind non-zero dispersal in spatiotemporally varying environments. While generally transient, spatial sorting is persistent on invasion fronts, where its effect cannot be ignored, causing rapid evolution of traits related to dispersal. Spatial sorting is described in several elegant models, yet these models require a high level of mathematical sophistication and are not accessible to most evolutionary biologists or their students. Here, we frame spatial sorting in terms of the classic haploid and diploid models of natural selection. We show that, on an invasion front, spatial sorting can be conceptualized precisely as selection operating through space rather than (as with natural selection) time, and that genotypes can be viewed as having both spatial and temporal aspects of fitness. The resultant model is strikingly similar to classic models of natural selection. This similarity renders the model easy to understand (and to teach), but also suggests that many established theoretical results around natural selection could apply equally to spatial sorting.

scholarly journals Algebraic theorem of selection by spatial sorting

2021 ◽  
Author(s):  
Nikunj Goel
Keyword(s):  
Natural Selection ◽  
Global Change ◽  
Mathematical Theory ◽  
Range Shifts ◽  
Lifetime Reproductive Success ◽  
Heritable Variation ◽  
Evolutionary Patterns ◽  
Spatial Sorting ◽  
Natural Selection Theory

Heritable variation in traits that enhance dispersal rates can accumulate at population margins by spatial sorting. This mechanism of selection differs from natural selection as evolutionary change can ensue even in the absence of differential lifetime reproductive success. Although evidence suggests that populations are rapidly evolving at margins due to global change pressures, such as invasions and range shifts, we lack a mathematical theory of spatial sorting to understand these evolutionary patterns. To this end, we present an algebraic theorem, or the sorting theorem, to elucidate the nature of selection at margins, which can, in turn, facilitate axiomatic development of spatial sorting theory. The role of the sorting theorem in guiding research in this context is analogous to that of Price's theorem in natural selection theory.

Natural selection and "sudden death."

1979 ◽  
Vol 34 (3) ◽  
pp. 274-275
Author(s):  
David Chiszar ◽  
Karlana Carpen
Keyword(s):  
Natural Selection ◽  
Sudden Death

The Natural Selection of Minds

1998 ◽  
Vol 43 (4) ◽  
pp. 263-264
Author(s):  
Joseph F. Rychlak
Keyword(s):  
Natural Selection ◽  
Selection Of
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