Nature's Economy is a wide-ranging investigation of ecology's past. It traces the origins of the concept, discusses the thinkers who have shaped it, and shows how it in turn has shaped the modern perception of our place in nature. The book includes portraits of Linnaeus, Gilbert White, Darwin, Thoreau, and such key twentieth-century ecologists as Rachel Carson, Frederic Clements, Aldo Leopold, James Lovelock, and Eugene Odum. It concludes with a new Part VI, which looks at the directions ecology has taken most recently.

The Ontogeny of Information is a critical intervention into the ongoing and perpetually troubling nature-nurture debates surrounding human development. Originally published in 1985, this was a foundational text in what is now the substantial field of developmental systems theory. In this revised edition Susan Oyama argues compellingly that nature and nurture are not alternative influences on human development but, rather, developmental products and the developmental processes that produce them. Information, says Oyama, is thought to reside in molecules, cells, tissues, and the environment. When something wondrous occurs in the world, we tend to question whether the information guiding the transformation was pre-encoded in the organism or installed through experience or instruction. Oyama looks beyond this either - or question to focus on the history of such developments. She shows that what developmental information" does depends on what is already in place and what alternatives are available. She terms this process "constructive interactionism," whereby each combination of genes and environmental influences simultaneously interacts to produce a unique and unpredictable result. Ontogeny, then, is the result of dynamic and complex interactions in multileveled developmental systems. The Ontogeny of Information challenges specialists in the fields of developmental biology, philosophy of biology, psychology, and sociology, and even non-specialists, to re-examine the existing nature-nurture dichotomy as it relates to the history and formation of organisms.

We know, down to the tiniest details, the molecular structure of the human immunodeficiency virus (HIV). Yet despite this tremendous accomplishment, and despite other remarkable advances in our understanding of individual viruses and cells of the immune system, we still have no agreed understanding of the ultimate course and variability of the pathogenesis of AIDS. Gaps in our understanding like these impede our efforts towards developing effective therapies and preventive vaccines. Martin Nowak and Robert M May describe the emerging field of theoretical immunology in this accessible and well- written text. Using mathematical modelling techniques, the authors set out their ideas about how populations of viruses and populations of immune system cells may interact in various circumstances, and how infectious diseases spread within patients. They explain how this approach to understanding infectious diseases can reveal insights into the dynamics of viral and other infections, and the interactions between infectious agents and immune responses. The book is structured around the examples of HIV/AIDS and Hepatitis B virus, although the approaches described will be more widely applicable. The authors use mathematical tools to uncover the detailed dynamics of the infection and the effects of antiviral therapy. Models are developed to describe the emergence of drug resistance, and the dynamics of immune responses, viral evolution, and mutation. The practical implications of this work for optimisation of the design of therapy and vaccines are discussed. The book concludes with a glance towards the future of this fascinating, and potentially highly useful, field of study.

What makes populations stabilize? What makes them fluctuate? Are populations in complex ecosystems more stable than populations in simple ecosystems? In 1973. Robert May addressed these questions in this classic book. May investigated the mathematical roots of population dynamics and argued - counter to most current biological thinking - that complex ecosystems in themselves do not lead to population stability. Stability and Complexity in Model Ecosystems played a key role in introducing nonlinear mathematical models and the study of deterministic chaos into ecology, a role chronicled in James Gleick's book Chaos. In the quarter century since its first publication, the book's message has grown in power. Nonlinear models are now at the center of ecological thinking, and current threats to biodiversity have made questions about the role of ecosystem complexity more crucial than ever. In a new introduction, the author addresses some of the changes that have swept biology and the biological world since the book's first publication.