Adds three new chapters (constructed wetlands, stream sediments, and rice production systems) and is updated throughout Examines the adaptation of wetland plants to varying anaerobic soil conditions Provides the basic concepts involved in biogeochemical cycling of nutrients and contaminants in wetlands as related to environmental significance and ecological functions Examines the role of microbial processes in sulfate reduction, denitrification, and methane production Provides case studies for key biogeochemical processes governing wetland function in freshwater wetlands

Phosphorus is one of the major nutrients limiting the productivity of terrestrial, wetland and aquatic ecosystems. Over the last decade several research projects were conducted on Florida's ecosystems from state and federal agencies and private industry to address water quality issues, and to develop management practices to control nutrient loads.
Phosphorus Biogeochemistry in Sub-Tropical Ecosystems is the first thorough study of the role of phosphorus in ecological health and water quality ever published. Because of its vast and extensively studied ecosystems, Florida has often served as a national laboratory on current and future trends in ecosystem management. The reader will find studies at all levels of biological organization, from the cellular to entire ecological communities. The book is a definitive study of the role and behavior of phosphorus deposition in the upland/wetland/aquatic environment.
The papers presented in this book are organized in specific groups: ecological analysis and global issues, biogeochemical transformations, biogeochemical responses, transport processes, phosphorus management, and synthesis. Although Florida's ecosystems are used as a case study, the results presented have global applications.

A straightforward introduction to basic concepts and methodologies for digital photoelasticity, providing a foundation on which future researchers and students can develop their own ideas. The book thus promotes research into the formulation of problems in digital photoelasticity and the application of these techniques to industries. In one volume it provides data acquisition by DIP techniques, its analysis by statistical techniques, and its presentation by computer graphics plus the use of rapid prototyping technologies to speed up the entire process. The book not only presents the various techniques but also provides the relevant time-tested software codes. Exercises designed to support and extend the treatment are found at the end of each chapter.

This project work deals with reality mining and decision tree. Reality mining is the collection and analysis of data where human social behavior is analyzed through machine-sensed environment, with the goal of identifying predictable patterns of behavior. Classification is the process of finding a model that describe and distinguishes data classes, with the purpose of using model to predict the class of objects whose class label is unknown. A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. ID3 is mathematical algorithm for building the decision tree. It builds the tree from the top down recursive divide-and-conquer manner, with no backtracking. Advantages of ID3 are it build fast and short tree. Disadvantage is data may be over fitted and over classified if a small sample is tested. Only one attribute at a time is tested for making decision. This project work: - To study the drawback of existing decision tree algorithms. To compare the decision tree with R using existing implementation. To apply and study the decision tree with reality mining