This book explores the theory and methods of systems analysis and computer modeling as applied to problems in ecology and natural resource management. It reflects the problems and conflicts between competing uses of limited space and the need for quantitative predictors of the outcome of various management strategies.

Systems Analysis and Simulation in Ecology, Volume II, concludes the original concept for Systems Analysis and Simulation in Ecology, and at the same time initiates a continuing series under the same title. The original idea, in 1968, was to draw together a collection of systems ecology articles as a convenient benchmark to the state of this emerging new field and as a stimulus to broader interest. These purposes will continue to motivate the series in highlighting, from time to time, accomplishments, trends, and prospects. The present volume is organized into four parts. Part I outlines for ecologists the concepts upon which systems science as a discipline is built. Part II presents example applications of systems analysis methods to ecosystems. Part III is devoted to new theory, including an investigation into the feasibility of several nonlinear formulations for use in compartment modeling of ecosystems; and the important topic of connectivity in systems. Part IV presents a sampling of systems ecology applications. It provides a reasonably balanced and accurate picture of the practical capability of ecological systems analysis and simulation. Performance does not come up to publicity, but prospects for rapid improvement are good given a willingness to let pragmatism guide sound scientific development without demanding unrealistic short-term successes.

"This is a book of ecology in transition form a "soft" science, synecology, to a "hard" science, systems ecology" -- Preface.

This book presents an overview of modeling and simulation of environmental systems via diverse research problems and pertinent case studies. It is divided into four parts covering sustainable water resources modeling, air pollution modeling, Internet of Things (IoT) based applications in environmental systems, and future algorithms and conceptual frameworks in environmental systems. Each of the chapters demonstrate how the models, indicators, and ecological processes could be applied directly in the environmental sub-disciplines. It includes range of concepts and case studies focusing on a holistic management approach at the global level for environmental practitioners. Features: Covers computational approaches as applied to problems of air and water pollution domain. Delivers generic methods of modeling with spatio-temporal analyses using soft computation and programming paradigms. Includes theoretical aspects of environmental processes with their complexity and programmable mathematical approaches. Adopts a realistic approach involving formulas, algorithms, and techniques to establish mathematical models/computations. Provides a pathway for real-time implementation of complex modeling problem formulations including case studies. This book is aimed at researchers, professionals and graduate students in Environmental Engineering, Computational Engineering/Computer Science, Modeling/Simulation, Environmental Management, Environmental Modeling and Operations Research.

Given the importance of interdisciplinary work in sustainability, Simulation of Ecological and Environmental Models introduces the theory and practice of modeling and simulation as applied in a variety of disciplines that deal with earth systems, the environment, ecology, and human-nature interactions. Based on the author's many years of teaching g