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"Chapter 1 establishes the context of such a search for pattern, presenting essential definitions and exploring early work on community structure and organization. The various biotic and abiotic factors which may influence communities and their dynamics are reviewed in Chapter 2, while the way in which the interrelationships between organisms are structured within the community in food webs or in the partitioning of available resources are considered in separate chapters on food webs, niche relationships and species guilds. Later chapters explore the factors determining the assembly of communities, species composition and pattern of relative abundance and the relative roles of deterministic and stochastic processes in determining community structure. The concluding section explores the implications of observed patterns of structure and organization for stability. The mathematical analyses which are an essential component of this topic are included only where essential for understanding and are presented in special box features. Each mathematical section has been carefully structured and fully explained in biological terms. Community Ecology presents a refreshingly readable course text for advanced undergraduates in ecology."--BOOK JACKET.
All life on earth occurs in natural assemblages called communities. Community ecology is the study of patterns and processes involving these collections of two or more species. Communities are typically studied using a diversity of techniques, including observations of natural history, statistical descriptions of natural patterns, laboratory and field experiments, and mathematical modelling. Community patterns arise from a complex assortment of processes including competition, predation, mutualism, indirect effects, habitat selection, which result in the most complex biological entities on earth – including iconic systems such as rain forests and coral reefs. This book introduces the reader to a balanced coverage of concepts and theories central to community ecology, using examples drawn from terrestrial, freshwater, and marine systems, and focusing on animal, plant, and microbial species. The historical development of key concepts is described using descriptions of classic studies, while examples of exciting new developments in recent studies are used to point toward future advances in our understanding of community organization. Throughout, there is an emphasis on the crucial interplay between observations, experiments, and mathematical models. This second updated edition is a valuable resource for advanced undergraduates, graduate students, and established scientists who seek a broad overview of community ecology. The book has developed from a course in community ecology that has been taught by the author since 1983. Figures and tables can be downloaded for free from
This is a much-needed up-to-date text on community ecology, covering both the earlier and later paradigms of community ecology with deep expertise.
Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology. This is important to our understanding of the planets biological diversity and how species interactions relate to the functioning of ecosystems at all scales. Species do not live in isolation and the study of community ecology is of practical application in a wide range of conservation issues. The study of ecological community data involves many methods of analysis. In this book you will learn many of the mainstays of community analysis including: diversity, similarity and cluster analysis, ordination and multivariate analyses. This book is for undergraduate and postgraduate students and researchers seeking a step-by-step methodology for analysing plant and animal communities using R and Excel. Microsoft's Excel spreadsheet is virtually ubiquitous and familiar to most computer users. It is a robust program that makes an excellent storage and manipulation system for many kinds of data, including community data. The R program is a powerful and flexible analytical system able to conduct a huge variety of analytical methods, which means that the user only has to learn one program to address many research questions. Its other advantage is that it is open source and therefore completely free. Novel analytical methods are being added constantly to the already comprehensive suite of tools available in R. Mark Gardener is both an ecologist and an analyst. He has worked in a range of ecosystems around the world and has been involved in research across a spectrum of community types. His knowledge of R is largely self-taught and this gives him insight into the needs of students learning to use R for complicated analyses.
A pluralistic approach to community ecology.
A full description of computer-based methods of analysis used to define and solve ecological problems. Multivariate techniques permit summary of complex sets of data and allow investigation of many problems which cannot be tackled experimentally because of practical restraints.

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