Suchergebnisse

The book Ecology, Engineering, and Management: Reconciling Ecosystem Rehabilitation and Service Reliability, by Michel J G Van Eeten and Emery Roe, is reviewed.

Many ecological phenomena may be modelled using apparently random processes involving space (and possibly time). Such phenomena are classified as spatial in their nature and include all aspects of pollution. This book addresses the problem of modelling spatial effects in ecology and population dynamics using reaction-diffusion models

Although many theoretical developments have been achieved in recent years, the progress both in understanding and application of risk and reliability analysis in water resources and environmental engineering remains slow. One of the reasons seems to be the lack of training of engineers with phenomena of statistical nature, including optimum cost and benefit decisions under uncertainty. This book presents, in a unified and comprehensive framework, the various aspects of risk and reliability in bothwater quantity and quality problems. The topics covered include uncertainty analysis of water quantity and quality data, stochastic simulation of hydrosystems, decision theory under uncertaintyand case studies. Methods for risk analysis of extremes in hydrology, groundwater clean-up, river and coastal pollution as well as total risk management are presented

Ecological modelling has developed rapidly in recent decades, with the focus primarily on the restoration of lakes and wetlands. Ecological Modelling and Engineering in Lakes and Wetlands presents the progress being made in modelling for a wealth of applications. It covers the older biogeochemical models still in use today, structurally dynamic models, 3D models, biophysical models, entire watershed models, and ecotoxicological models, as well as the expansion of modeling to the Arctic and Antarctic climate-zones. The book also addresses modelling the effect of climate change, including the development of ecological models for addressing storm water pond issues, which are increasingly important in urban regions where more concentrated rainfalls are a consequence of climate change. The ecological engineering topics covered in the book also emphasize the advancements being made in applying ecological engineering regimes for better environmental management of lakes and wetlands. Examines recent progress towards a better understanding of these two important ecosystems Presents new results and approaches that can be used to develop better models Discusses how to increase the synergistic effect between ecosystems engineering and modelling.

Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construction of association matrices, then addresses three families of methods: clustering, unconstrained and canonical ordination, and spatial analysis. All the necessary data files, the scripts used in the chapters, as well as the extra R functions and packages written by the authors, can be downloaded from a web page accessible through the Springer web site (http://www.bio.umontreal.ca/numecolR/). This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. The three authors teach numerical ecology, both theoretical and practical, to a wide array of audiences, in regular courses in their Universities and in short courses given around the world. Daniel Borcard is lecturer of Biostatistics and Ecology and researcher in Numerical Ecology at Université de Montréal, Québec, Canada. François Gillet is professor of Community Ecology and Ecological Modelling at Université de Franche-Comté, Besançon, France. Pierre Legendre is professor of Quantitative Biology and Ecology at Université de Montréal, Fellow of the Royal Society of Canada, and ISI Highly Cited Researcher in Ecology/Environment.

Methods in Comparative Plant Ecology: A laboratory manual is a sister book to the widely acclaimed Comparative Plant Ecology by Grime, Hodgson and Hunt. It contains details on some 90 critical concise diagnostic techniques by over 40 expert contributors. In one volume it provides an authoritative bench-top guide to diagnostic techniques in experimental plant ecology

Most work on industrial ecology continues to emphasize its roots in engineering and the technological sciences. This book differs in that it explores the social context of industrial ecology and presents empirical work addressing how cognitive, cultural, political and structural mechanisms condition the emergence and operation of industrial ecology. The empirical chapters are written from various social science perspectives and the editors have also invited reflective commentaries by authors with cross-disciplinary experiences