S. K. Sarkar

Conservation biology emerged as an organized academic discipline in the United States in the 1980s though much of its theoretical framework was originally developed in Australia. Significant differences of approach in the two traditions were resolved in the late 1990s through the formulation of a consensus framework for the design and adaptive management of conservation area networks. This entry presents an outline of that framework along with a critical analysis of conceptual issues concerning the four theoretical problems that emerge from it: (i) place prioritization for conservation action; (ii) the selection of surrogates for biodiversity in conservation planning; (iii) the assessment of vulnerability of conservation areas; and (iv) the synchronization of incommensurable criteria including socio-economic constraints on conservation planning.

Habitat dioramas depicting ecological relations between organisms and their natural environments have become the preferred mode of museum display in most natural history museums in North America and Europe. Dioramas emerged in the late nineteenth century as an alternative mode of museum installation from taxonomically arranged cases. We suggest that this change was closely connected to the emergence of a biogeographical framework rooted in evolutionary theory and positing the existence of distinct biogeographical zones. We tie the history of dioramas to earlier visual resources such as the thematic images that Wallace introduced to illustrate his 1876 Geographical Distribution of Animals. These images were unique in their time because each of them simultaneously depicted animals from several different taxa, rather than only one, as well as the ecological relations between animals and their habitats. Both, visually and with respect to their function within biogeography, these images presaged the habitat dioramas that came shortly afterwards. Not coincidentally, Wallace explicitly advocated the use of dioramas for museum display in ongoing debates on museum reform. Wallace 's suggestions were put into practice by committed evolutionists such as Gottlieb von Koch who pioneered the diorama installation in the Grand Ducal Museum in Darmstadt in 1906. As in Wallace 's illustrations, Koch's dioramas were designed to respresent biogeographical zones. This paper explores the function of these visual displays of biogeographical relations. It argues that, in both the scientific and public realms, biogeogaphical zones were defined and constructed by visual means; recourse to visual representation was more than a method of communication

Subramanian has produced a new biography of Haldane taking into account archival material that has only become public during the last decade. He has been able to provide a more complete picture of Haldane’s personal life than earlier biographers, such as his difficult schooldays at Eton and the deterioration of his first marriage. He has also highlighted the extent to which Haldane was kept under constant secret surveillance by British intelligence services because of his politics. However, the book is less successful in its account of Haldane’s scientific work including what he contributed to modern evolutionary theory, the Fisher–Haldane relationship, Haldane’s role in the Lysenko controversy, and what he achieved after emigration to India in 1957.

Intelligent Design creationism is often criticized for failing to be science because it falls afoul of some demarcation criterion between science and non-science. This paper argues that this objection to Intelligent Design is misplaced because it assumes that a consistent non-theological characterization of Intelligent Design is possible. In contrast, it argues that, if Intelligent Design is taken to be non-theological doctrine, it is not intelligible. Consequently, a demarcation criterion cannot be used to judge its status. This position has the added advantage of providing reasons to reject Intelligent Design creationism without invoking potentially philosophically controversial demarcation criteria.

Since the late 1990s, the characterization of complete DNA sequences for a large and taxonomically diverse set of species has continued to gain in speed and accuracy. Sequence analyses have indicated a strikingly baroque structure for most eukaryotic genomes, with multiple repeats of DNA sequences and with very little of the DNA specifying proteins. Much of the DNA in these genomes has no known function. These results have generated strong interest in the factors that govern the evolution of genome architecture. While adaptationist ‘just so’ stories have been offered, recent theoretical analyses based on mathematical population genetics strongly suggest that non-adaptive processes dominate genome architecture evolution. This article critically synthesizes and develops these arguments, explicating a core argument along with several variants. It provides a critical assessment of the evidence that supports these arguments’ premises. It also analyses adaptationist responses to these arguments and notes potential problems with the core argument. These theoretical analyses continue the molecular reinterpretation of evolution initiated by the neutral theory in 1968. The article ends by noting that some of these arguments can also be extended to evolution at higher levels of organization which raises questions about adaptationism in general. This remains a puzzle because there is probably little reason to doubt that many organismic features are genuine adaptations. 1 Introduction2 Preliminaries: Senses of Adaptationism3 Genome Architecture3.1 Surprises of early eukaryotic genetics3.2 Genome structure, post-20014 The Case against Adaptationism4.1 Just so stories versus population genetics4.2 The core argument4.3 Three variants of the core argument4.4 Examples: Non-adaptive features of the genome5 Adaptationist Responses6 Concluding Remarks

This paper analyzes the interaction between science, philosophy and politics (including ideology) in the early work of J. B. S. Haldane (from 1922 to 1937). This period is particularly important, not only because it is the period of Haldane's most significant biological work (both in biochemistry and genetics), but also because it is during this period that his philosophical and political views underwent their most significant transformation. His philosophical stance first changed from a radical organicism to a position far more compatible with mechanical materialism. The primary intellectual influence that was responsible for this shift was that of F. G. Hopkins. Later, Haldane came to accept Marxism and its official metaphysics, dialectical materialism, a move that let him accept the materialist conception of the world while still maintaining a resolute distance from mechanism. Throughout all these changes, what is most obvious is the influence of science on Haldane's philosophical views. An influence in the opposite direction is far less apparent.

This response to Sober's (2008) Evidence and Evolution draws out and criticizes some consequences of his analysis because of its reliance on a likelihood framework for adjucating the dispute between (Intelligent Design) creationism and evolution. In particular, Sober's analysis does not allow it to be formally claimed that evolutionary theory better explains living phenomena than Intelligent Design and makes irrelevant the contribution of the theory of evolution by natural selection to assessments of the status of the argument from design. Finally, a rudimentary alternative framework for theory confirmation is presented here which avoids these conclusions by rejecting likelihoodism and deploying multiple criteria to the problem of scientific theory choice

It is shown that complex adaptations are best modelled as discrete processes represented on directed weighted graphs. Such a representation captures the idea that problems of adaptation in evolutionary biology are problems in a discrete space, something that the conventional representations using continuous adaptive landscapes does not. Further, this representation allows the utilization of well-known algorithms for the computation of several biologically interesting results such as the accessibility of one allele from another by a specified number of point mutations, the accessibility of alleles at a local maximum of fitness, the accessibility of the allele with the globally maximum fitness, etc. A reduction of a model due to Kauffman and Levin to such a representation is explicitly carried out and it is shown how this reduction clarifies the biological questions that are of interest.

This paper attempts a critical reappraisal of Nagel's (1961, 1970) model of reduction taking into account both traditional criticisms and recent defenses. This model treats reduction as a type of explanation in which a reduced theory is explained by a reducing theory after their relevant representational items have been suitably connected. In accordance with the deductive-nomological model, the explanation is supposed to consist of a logical deduction. Nagel was a pluralist about both the logical form of the connections between the reduced and reducing theories (which could be conditionals or biconditionals) and their epistemological status (as analytic connections, conventions, or synthetic claims). This paper defends Nagel's pluralism on both counts and, in the process, argues that the multiple realizability objection to reductionism is misplaced. It also argues that the Nagel model correctly characterizes reduction as a type of explanation. However, it notes that logical deduction must be replaced by a broader class of inferential techniques that allow for different types of approximation. Whereas Nagel (1970), in contrast to his earlier position (1961), recognized the relevance of approximation, he did not realize its full import for the model. Throughout the paper two case studies are used to illustrate the arguments: the putative reduction of classical thermodynamics to the kinetic theory of matter and that of classical genetics to molecular biology.

Maynard Smith’s defenses of adaptationism and of the value of optimization theory in evolutionary biology are both criticized. His defense does not adequately respond to the criticism of adaptationism by Gould and Lewontin. It is also argued here that natural selection cannot be interpreted as an optimization process if the objective function to be optimized is either (i) interpretable as a fitness, or (ii) correlated with the mean population fitness. This result holds even if fitnesses are frequency-independent; the problem is further exacerbated in the frequency-dependent context modeled by evolutionary game theory. However, Eshel and Feldman’s new results on “long-term” evolution may provide some hope for the continuing relevance of the game-theoretic framework. These arguments also demonstrate the irrelevance of attempts by Intelligent Design creationists to use computational limits on optimization algorithms as evidence against evolutionary theory. It is pointed out that adaptation, natural selection, and optimization are not equivalent processes in the context of biological evolution.

  A classification of models of reduction into three categories — theory reductionism, explanatory reductionism, and constitutive reductionism — is presented. It is shown that this classification helps clarify the relations between various explications of reduction that have been offered in the past, especially if a distinction is maintained between the various epistemological and ontological issues that arise. A relatively new model of explanatory reduction, one that emphasizes that reduction is the explanation of a whole in terms of its parts is also presented in detail. Finally, the classification is used to clarify the debate over reductionism in molecular biology. It is argued there that while no model from the category of theory reduction might be applicable in that case, models of explanatory reduction might yet capture the structure of the relevant explanations

Joshua Lederberg was one of the pioneers of molecular genetics perhaps best known for his discovery of genetic recombination in bacteria which earned him a Nobel Prize in 1958. Lederberg’s interests were broad including the origin of life, exobiology and emerging diseases and artificial intelligence in his later years. This article contains the transcription of an interview in excerpts, documenting the interactions between Lederberg and fellow biologist J.B.S. Haldane which lasted from 1946 until Haldane’s death in Kolkata in 1964.

Maynard Smith notes that he provides a natural history and not a philosophical analysis of the use of concepts of information in contemporary biology. Just a natural history, however rich, would do little to resolve the ongoing controversy about the role of these concepts in biology. None of the disputants deny that the biological use of these concepts is pervasive. The dispute is about whether these concepts—and the framework in which they are embedded—continue to be of explanatory value in contemporary biology. Fortunately, Maynard Smith does much more than provide a natural history: his contribution is also a sustained attempt to justify many of the uses of information in biology.