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The marginal value of relations
Author(s) -
Doebeli Michael K.
Publication year - 1999
Publication title -
journal of evolutionary biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.289
H-Index - 128
eISSN - 1420-9101
pISSN - 1010-061X
DOI - 10.1046/j.1420-9101.1999.0089e.x
Subject(s) - biology , trait , variation (astronomy) , social evolution , reproductive success , reproductive value , inclusive fitness , kinship , value (mathematics) , quantitative genetics , evolutionary biology , human evolutionary genetics , genetic variation , genetics , sociology , population , demography , mathematics , statistics , phylogenetics , pregnancy , physics , astrophysics , computer science , anthropology , offspring , gene , programming language
Evolutionary dynamics is determined by heritable variation between individuals, by variation in reproductive success and by the correlation between these two types of variation. If there is no heritable or no reproductive variation, there is no evolutionary change. If the correlation between heritable trait variation and reproductive variation is zero, evolution is neutral. If this correlation is nonzero, evolution is adaptive. This book is about adaptive evolution when the correlation between trait values and reproductive success is in ̄uenced by social interactions and kinship. Steven Frank starts out by introducing the Price equation as the formal tool for keeping track of the correlations between heritable changes in trait values and ®tness (Chapter 2). For these correlations, relatedness plays an important role, and using the Price equation Frank presents a natural derivation of Hamilton's rule (Chapter 3). This illustrates his contention that Hamilton's rule is a result rather than a starting point for analysis, because this famous rule hides too many details of the interactions determining evolutionary change. After having read the book, I tend to agree: Hamilton's rule is often very handy for interpreting results, but it is too simple to provide a detailed causal understanding of evolutionary change. Instead, such understanding is provided by Frank's approach, which is more basal and more explicit (Chapter 4). In essence, this approach consists of identifying ®tness components, attaching reproductive value as weights to these components, and then investigating the marginal changes in total ®tness that are due to changes in breeding value resulting in correlated responses of the various components. At the ®tness maximum, this marginal change is zero, that is, a marginal increase in some ®tness components is exactly balanced by a corresponding decrease in the others, and evolution comes to a halt. How to apply these techniques to social evolution, how to determine correlated responses that are caused by social interactions and kinship, is the content of Frank's book. And room there is for new perspectives on old problems: the book is a gold-mine for anybody who is interested in the theory of social evolution. Among many other topics, Frank discusses the dynamics of correlated traits in connection with peak shifts on adaptive landscapes (Chapter 5), the signi®cance of conditional behaviour and kin recognition (Chapter 6), and the in ̄uence of demography and spatial population structure on kin selection (Chapter 7). After going into some details about how and why reproductive value must be incorporated into models of social evolution (Chapter 8), he ®nally embarks on a detailed treatment of the problem of sex allocation (Chapters 9±11), which exempli®es the usefulness of his approach. As a nonspecialist, I was fascinated by how many different angles of this problem can be examined using Frank's framework. There is no doubt that his approach yields many new insights, because it makes explicit ®tness components which traditionally only appear implicitly in models of social evolution. This allows us to identify selective mechanisms, and to disentangle their impact on the evolutionary process. The book is written in a very terse style, which makes for a rather gripping read, but it is often hard to follow the author's thoughts because of the lack of details given. The book does not have the virtue of a gentle beginning and instead starts out with what for many readers will be the most dif®cult part: formulating kin selection in the context of the Price equation (Chapters 2±4). That's not only bad tactics, but also unnecessary and mainly due to the author's personal af®nity for a particular formalism. I think that the important message of the book ± the analysis of correlated traits and reproductive value in ®tness maximization models of social evolution ± could have been introduced in a more pragmatic and understandable manner. After Chapter 4, the Price equation never reappears, and all the material in later chapters could have been developed using a more intuitive and less formal (but no less correct) language. For example, in Chapter 4, Frank puts much emphasis on `direct' ®tness being a more general concept than `inclusive' ®tness in Price's framework, but no example is worked out in which the difference really matters. In fact, when the issue arises in the applications in later chapters, direct ®tness is invariably replaced by its more familiar inclusive relative. There is another thing that put me off course repeatedly: references to `later sections' where things will be made `more clear' abound; such references make readers think that they are missing something, and almost all of these references are too imprecise to be of any practical use. For example, a Book reviews 837