The International Institute for Applied Systems Analysis (IIASA) and Cambridge University Press announce the publication of The Geometry of Ecological Interactions: Simplifying Spatial Complexity. By integrating mathematical models and statistics, the book presents empirical and theoretical conclusions on the effects of spatio-temporal patterns in ecology.
Scientists worldwide are acknowledging the importance of spatial patterns on ecological dynamics, and are developing powerful tools to describe and analyze spatio-temporal dynamics. The Geometry of Ecological Interactions: Simplifying Spatial Complexity provides an integrated introduction to these developments, and offers a new perspective on linking patterns and processes in ecology. The book presents a spectrum of approaches, ranging from field observations to theoretical tools for simplifying the spatial complexity encountered in real ecological systems.
Edited by Ulf Dieckmann, Richard Law, and Johan A.J. Metz and with contributions from 36 international experts, this volume details the latest developments in spatial ecological theory and puts forward new methods of simplifying spatial complexity. This book is for students or practitioners interested in theoretical or spatial ecology and applied mathematics.
This book is the first in the new Cambridge Studies in Adaptive Dynamics series, edited by a number of IIASA's Adaptive Dynamics Network (ADN) staff. The series is the first to extend evolutionary game theory in a way that allows for analyzing the implications of complex ecological settings.
Ulf Dieckmann is Project Coordinator of the ADN at IIASA. Richard Law is Reader in Biology at the University of York. Johan A.J. Metz is Professor of Mathematical Biology at the Institute of Evolutionary and Ecological Sciences at Leiden University, and project leader of ADN at IIASA.
The Geometry of Ecological Interactions: Simplifying Spatial Complexity (ISBN 0521 64294 9) is available now from Cambridge University Press, priced £45.00/$74.95. For further information and instructions on how to order, visit http://www.cup.cam.ac.uk (UK) or http://www.cup.org (USA) or e-mail hproctor@cup.cam.ac.uk.
The Adaptive Dynamics Network (ADN) site is http://www.iiasa.ac.at/Research/ADN. For information about the book series, go to http://www.iiasa.ac.at/Research/ADN/Books.html.
IIASA is an independent, non-governmental, interdisciplinary research institution specializing in natural and social scientific research valued by policy makers, the scientific community and the public worldwide. IIASA is an international institution, with sponsoring organizations in 15 countries. For more information on IIASA, visit the web site at http://www.iiasa.ac.at.