Selection by consequences, behavioral evolution, and the price equation

2017 ◽  
Vol 107 (3) ◽  
pp. 321-342 ◽  
Author(s):  
William M. Baum
Keyword(s):  
Price Equation ◽  
Behavioral Evolution ◽  
Selection By Consequences

Geographic Variation in Behavior

1999 ◽  
Keyword(s):  
Geographic Variation ◽  
Animal Behavior ◽  
Evolutionary Biology ◽  
Behavioral Characteristics ◽  
Behavioral Differences ◽  
Methodological Issues ◽  
Behavioral Evolution ◽  
Evolutionary Patterns ◽  
Wide Range

Studies of animal behavior often assume that all members of a species exhibit the same behavior. Geographic Variation in Behavior shows that, on the contrary, there is substantional variation within species across a wide range of taxa. Including work from pioneers in the field, this volume provides a balanced overview of research on behavioral characteristics that vary geographically. The authors explore the mechanisms by which behavioral differences evolve and examine related methodological issues. Taken together, the work collected here demonstrates that genetically based geographic variation may be far more widespread than previously suspected. The book also shows how variation in behavior can illuminate both behavioral evolution and general evolutionary patterns. Unique among books on behavior in its emphasis on geographic variation, this volume is a valuable new resource for students and researchers in animal behavior and evolutionary biology.

A study of run-time behavioral evolution of benign versus malicious apps in android

2020 ◽  
Vol 122 ◽  
pp. 106291 ◽  
Author(s):  
Haipeng Cai ◽  
Xiaoqin Fu ◽  
Abdelwahab Hamou-Lhadj
Keyword(s):  
Behavioral Evolution ◽  
Run Time ◽  
Malicious Apps

Cellular Epigenetics and Behavioral Evolution

2019 ◽  
pp. 13-19
Author(s):  
Cristina Ledón-Rettig
Keyword(s):  
Behavioral Evolution

scholarly journals The distribution of allelic effects under mutation and selection

1990 ◽  
Vol 55 (2) ◽  
pp. 111-117 ◽  
Author(s):  
Steven A. Frank ◽  
Montgomery Slatkin
Keyword(s):  
Assortative Mating ◽  
Genetic Variance ◽  
Price Equation ◽  
Genetic Character ◽  
Quantitative Genetic ◽  
Mutation And Selection

SummaryThe Price (1970, 1972) equation is applied to the problem of describing the changes in the moments of allelic effects caused by selection, mutation and recombination at loci governing a quantitative genetic character. For comparable assumptions the resulting equations are the same as those obtained by different means by Barton & Turelli (1987; Turelli & Barton, 1989). The Price equation provides a natural framework within which to examine certain kinds of non-additive allelic effects, recombination and assortative mating. The use of the Price equation is illustrated by finding the equilibrium genetic variance under multiplicative dominance and epistasis and under assortative mating at an additive locus. The limitations of the use of recursion equations for the moments of allelic effects are also discussed.

Price Equation

2013 ◽  
pp. 1738-1739
Author(s):  
Philippe Huneman
Keyword(s):  
Price Equation

scholarly journals Disentangling niche theory and beta diversity change

2021 ◽  
Author(s):  
William Godsoe ◽  
Peter J Bellingham ◽  
Elena Moltchanova
Keyword(s):  
Beta Diversity ◽  
Price Equation ◽  
Short Term ◽  
Before And After ◽  
Environmental Requirements ◽  
Habitat Specialists ◽  
Montane Tropical Forest ◽  
Ecological Drift ◽  
Over Time

Beta diversity describes the differences in species composition among communities. Changes in beta diversity over time are thought to be due to selection based on species' niche characteristics. For example, theory predicts that selection that favours habitat specialists will increase beta diversity. In practice, ecologists struggle to predict how beta diversity changes. To remedy this problem, we propose a novel solution that formally measures selection's effects on beta diversity. Using the Price equation, we show how change in beta diversity over time can be partitioned into fundamental mechanisms including selection among species, variable selection among communities, drift, and immigration. A key finding of our approach is that a species' short-term impact on beta diversity cannot be predicted using information on its long-term environmental requirements (i.e. its niche). We illustrate how our approach can be used to partition causes of diversity change in a montane tropical forest before and after an intense hurricane. Previous work in this system highlighted the resistance of habitat specialists and the recruitment of light-demanding species but was unable to quantify the importance of these effects on beta diversity. Using our approach, we show that changes in beta diversity were consistent with ecological drift. We use these results to highlight the opportunities presented by a synthesis of beta diversity and formal models of selection.

Hunter-gatherer diets and human behavioral evolution

2018 ◽  
Vol 193 ◽  
pp. 190-195 ◽  
Author(s):  
Amanda Veile
Keyword(s):  
Behavioral Evolution

scholarly journals Chimpanzee Models of Human Behavioral Evolution

2013 ◽  
pp. 397-435 ◽  
Author(s):  
John C. Mitani
Keyword(s):  
Behavioral Evolution
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