Jean-François Guegan - Böcker

For several years there has been a growing interest in understanding the dynamics of parasites in ecosystems, as well as the diversity of ways in which they influence ecosystem functioning through their effects on host populations and communities. Ecologists, epidemiologists, evolutionary biologists, and other scientists are increasingly coming to realise that parasites must be taken into account when studying ecosystems. Parasitism and Ecosystems summarizes current knowledge on this topic, providing a comprehensive overview for researchers and students. It represents the first synthesis of both the roles and the consequences of pathogens in ecosystems, utilising well-documented case-studies to illustrate the main issues as well as identifying prospects for future research.

Is it possible to omit parasites when studying free-living organisms? The answer is clearly no! Parasites have evolved independently in numerous animal lineages, and now make up a considerable proportion of the biodiversity of life. Ecologists, epidemiologists, conservationists and evolutionary biologists are increasingly aware of the universal significance of parasites to the study of ecology and evolution where they have become a powerful model system. This book provides a summary of the issues involved as well as an overview of the possibilities offered by this research topic including the practical applications for disease prevention. It uses well-documented case-studies across a range of scales to illustrate the main trends and prospects in this area, outlining areas for future research. Ecology and Evolution of Parasitism is the first book to provide a broad synthesis of both the roles and consequences of pathogens on the ecology and evolution of free living systems. It focuses on hosts rather than the parasites themselves, integrating those aspects related to the ecology and the evolution of free-living species (sexual selection, behaviour, life history traits, regulation of populations etc.). The book includes examples across a range of scales from individuals to populations, communities and ecosystems.

In this book, an easily understandable account of modelling methods with artificial neuronal networks for practical applications in ecology and evolution is provided. Special features include examples of applications using both supervised and unsupervised training, comparative analysis of artificial neural networks and conventional statistical methods, and proposals to deal with poor datasets. Extensive references and a large range of topics make this book a useful guide for ecologists, evolutionary ecologists and population geneticists.