10 edition of **Evolution in age-structured populations** found in the catalog.

- 48 Want to read
- 10 Currently reading

Published
**1980**
by Cambridge University Press in Cambridge [Eng.], New York
.

Written in English

- Age-structured populations -- Mathematical models,
- Population genetics -- Mathematical models,
- Evolution (Biology) -- Mathematical models

**Edition Notes**

Statement | Brian Charlesworth. |

Series | Cambridge studies in mathematical biology ;, 1 |

Classifications | |
---|---|

LC Classifications | QH455 .C47 |

The Physical Object | |

Pagination | xiii, 300 p. ; |

Number of Pages | 300 |

ID Numbers | |

Open Library | OL4425713M |

ISBN 10 | 0521230454, 0521297869 |

LC Control Number | 79041452 |

The book is aimed for Masters and PhD students and researchers including scientists working in applied areas such as fisheries management. Miller, Tom E. X., and Volker H. W. Rudolf. Thinking inside the box: Community-level consequences of stage-structured populations. Trends in Ecology & Evolution – Populations ofmany species are age-structured,and the study of their ecology and evolution presents many theoretical book reviews most aspects ofthe ecological dynamics, thetheory ofnat- ural and artificial selection,and the genetic effects of finite populationsize, as they apply to age-structured populations. It applies the results to the general.

The latter usually implies that population growth rates decrease as the population becomes more dense, via increased competition for resources. This section borrows heavily from Charlesworth’s classic book, Evolution in Age-Structured Populations. To simplify matters, I assume asexual, haploid genetic inheritance and no frequency-dependent Cited by: 6. We study the evolution in discrete time of certain age-structured populations, such as adults and juveniles, with a Ricker fitness function. We determine conditions for the convergence of orbits to the origin (extinction) in the presence of the Allee effect and time-dependent vital rates. We show that when stages interact, they may survive in the absence of interior fixed points, a surprising Cited by: 1.

principles of population genetics Download principles of population genetics or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get principles of population genetics book now. This site is like a library, Use search box in the widget to get ebook that you want. The definition of fitness in an age-structured population is given in more detail by Charlesworth (). For review, see Partridge and Barton (). We show how fitness in an age-structured population can be calculated using data from a laboratory population of Drosophila melanogaster (Roper et al. ).

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In this new edition Brian Charlesworth provides a comprehensive review of the basic mathematical theory of the demography and genetics of age-structured populations. The mathematical level of the book is such that it will be accessible to anyone with a knowledge of basic calculus and linear by: Buy Evol Age-Structured Populations 2ed (Cambridge Studies in Mathematical Biology) on FREE SHIPPING on qualified ordersCited by: COVID Resources.

Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle.

This book examines evolution in age-structured populations of animals and plants under the following headings: models of age-structured populations; the genetics of populations without selection; selection: construction of a model and the properties of equilibrium populations; selection: dynamic aspects; and, the evolution of : B.

Charlesworth. ISBN: OCLC Number: Description: xiii, pages: illustrations ; 23 cm: Contents: 1. Models of age-structured populations The genetics of populations without selection Selection: construction of a model and the properties of equilibrium populations Selection: dynamic aspects The evolution of life-histories.

Evolution in Age-Structured Populations (Cambridge Studies in Mathematical Biology) 2nd Edition by Brian Charlesworth (Author) ISBN ISBN Why is ISBN important. ISBN. This bar-code number lets you verify that you're getting exactly the right version or edition of a book.

If you are particularly interested in age-structured population, Evolution in age-structured populations (Charlesworth) is a very good book. Modeling evolution (Roff) offers some discussion on how to mathematically define fitness from phenotypic traits.

While it is interesting I would not counsel you to buy it. Charlesworth, B. () Evolution in Age-Structured Populations. 2nd Edition, Cambridge University Press, Cambridge. Russell Lande, Steinar Engen and Bernt-Erik Sæther, Evolution of stochastic demography with life history tradeoffs in density-dependent age-structured populations, Proceedings of the National Academy of Sciences, /pnas,44, (), ().Cited by: Finally, he makes a big deal about MLS theory does not adequately able to handle class structured populations.

First, off, there actually is a nice old paper on multilevel selection in age-structured populations (Mertz et al Evolution ). evolution of the age structured populations 7 the population in the t -step of simulation, N max is a maximal size of the population called also a capacity of the environment and V is a.

Age -Structured Populations Age -structured vital rates have manifold implications for population dynamics and evolution. Age -structure is tabulated with life tables, and these can be used to derive important population parameters. The literature using. Mathematical models describing the evolution of age-structured populations have received increasing attention in recent years, both for the biological interest and Cited by: 7.

such factors on evolution in stage-structured populations. Let represent a multivariate quan-z p (z, z,z)T 12 m titative trait whose components are expressed in speciﬁc stages. Our framework extends beyond quantitative traits and can be used to describe allele and genotype frequency dynamics in stage-structured populations by letting z in.

Humans live in age-structured populations with overlapping generations in which parents, children, and grandchildren can all be alive at the same time and interact with one another. Human life history is characterized by variable longevities and potential reproduction occurring over many ages.

Evolution in Stage-Structured Populations Michael Barﬁeld, 1Robert D. Holt, rates is for age-structured populations (e.g., Lande a, b; Charlesworth ). Yet in many species, age (time evolution in real populations.

A real-world application is. In-class exercise: age-structured population growth. In this exercise we will explore some facets of age-stuctured populations. Load up the life table from earlier in this lecture, by clicking this table to compute the net reproductive rate, \(R_0\).This represents the mean (expected) number of female offspring produced per female over her entire lifetime.

DEMOGRAPHY BEYOND THE POPULATION The evolution of labile traits in sex- and age-structured populations Dylan Z. Childs1*, Ben C. Sheldon2 and Mark Rees1 1Department of Animal and Plant Sciences, University of Shefﬁeld, Western Bank, Shefﬁeld, S10 2TN, UK; and 2Department of Zoology, The Edward Grey Institute, Tinbergen Building, South Parks Road, Cited by: Future research on life-history evolution would require some understanding of how natural selection works in populations with age-structure.

Norton's seminal paper in (Norton, ) developed many of the basic results for selection in age-structured populations. Serious work in this area would not begin again Charlesworth, ). This book provides an introduction to age-structured population modeling which emphasizes the connection between mathematical theory and underlying biological assumptions.

Through the rigorous development of the linear theory and the nonlinear theory alongside numerics, the authors explore classical equations that describe the dynamics of. This book provides an introduction to age-structured population modeling which emphasises the connection between mathematical theory and underlying biological assumptions.Comparatively little attention has been given to models on the evolution of age-structured populations in the extensive literature on evolutionary and population genetics.

Much of the work on this class of models has, however, been reviewed and extended in the book by Charlesworth [ 1 ] on evolution in age structured by: 2.We present a formulation of branching and aging processes that allows age distributions along lineages to be studied within populations, and provides a new interpretation of classical results in Cited by: