Aims And Methods Of Vegetation Ecology

Written 30 years ago as the first synthesis of European and Anglo-American methods in vegetation ecology, this text remains as current and topical today as it was a quarter of a century ago, because the progress that has been made in vegetation science is in the computer-based treatment of sample data, not in the creation of new sampling protocols.

Written 30 years ago as the first synthesis of European and Anglo-American methods in vegetation ecology, this text remains as current and topical today as it was a quarter of a century ago, because the progress that has been made in vegetation science is in the computer-based treatment of sample data, not in the creation of new sampling protocols.

Additional resources for this book can be found at: www.wiley.com/go/vandermaarelfranklin/vegetationecology. Vegetation Ecology, 2nd Edition is a comprehensive, integrated account of plant communities and their environments. Written by leading experts in their field from four continents, the second edition of this book: covers the composition, structure, ecology, dynamics, diversity, biotic interactions and distribution of plant communities, with an emphasis on functional adaptations; reviews modern developments in vegetation ecology in a historical perspective; presents a coherent view on vegetation ecology while integrating population ecology, dispersal biology, soil biology, ecosystem ecology and global change studies; tackles applied aspects of vegetation ecology, including management of communities and invasive species; includes new chapters addressing the classification and mapping of vegetation, and the significance of plant functional types Vegetation Ecology, 2nd Edition is aimed at advanced undergraduates, graduates and researchers and teachers in plant ecology, geography, forestry and nature conservation. Vegetation Ecology takes an integrated, multidisciplinary approach and will be welcomed as an essential reference for plant ecologists the world over.

Evolving from years of teaching experience by one of the top experts in vegetation ecology, Data Analysis in Vegetation Ecology aims to explain the background and basics of mathematical (mainly multivariate) analysis of vegetation data. The book lays out the basic operations involved in the analysis, the underlying hypotheses, aims and points of views. It conveys the message that each step in the calculations has a specific, straightforward meaning and that patterns and processes known by ecologists often find their counterpart in mathematical operations and functions. The first chapters introduce the elementary concepts and operations and relate them to real-world phenomena and problems. Later chapters concentrate on combinations of methods to reveal surprising features in data sets. Showing how to find patterns in time series, how to generate simple dynamic models, how to reveal spatial patterns and related occurrence probability maps.

Vegetation Ecology is a comprehensive account of plantcommunities and their environments. Written by leading experts intheir field from four continents, this up-to-date, innovativetext: covers the composition, structure, ecology, diversity,distribution and dynamics of plant communities, with an emphasis onfunctional adaptations to the abiotic and biotic processesgoverning plant communities; reviews the modern developments in vegetation ecology in ahistorical perspective; presents a coherent view on vegetation ecology whileintegrating population ecology, dispersal biology, bioticinteractions, herbivory, interactions with soil organisms andecosystem ecology; and tackles applied aspects of vegetation ecology, notably naturemanagement, restoration ecology and global change studies. Aimed at advanced undergraduates, graduates and researchers inplant ecology, geography, forestry and nature conservation,Vegetation Ecology takes an integrated, multi-disciplinaryapproach and will be welcomed as an essential reference for plantecologists the world over.

The 3rd edition of this popular textbook introduces the reader to the investigation of vegetation systems with an emphasis on data analysis. The book succinctly illustrates the various paths leading to high quality data suitable for pattern recognition, pattern testing, static and dynamic modelling and model testing including spatial and temporal aspects of ecosystems. Step-by-step introductions using small examples lead to more demanding approaches illustrated by real world examples aimed at explaining interpretations. All data sets and examples described in the book are available online and are written using the freely available statistical package R. This book will be of particular value to beginning graduate students and postdoctoral researchers of vegetation ecology, ecological data analysis, and ecological modelling, and experienced researchers needing a guide to new methods. A completely revised and updated edition of this popular introduction to data analysis in vegetation ecology. Includes practical step-by-step examples using the freely available statistical package R. Complex concepts and operations are explained using clear illustrations and case studies relating to real world phenomena. Emphasizes method selection rather than just giving a set of recipes.