Systems Analysis in Ecology surveys the problems and techniques of systems analysis in ecology. The opening and closing chapters were written by the editor, the first to explain why systems analysis is needed in ecology and what is meant by the term, and the last to point out the implications of this new approach for the future development of ecology. The book opens with a discussion of the nature of systems analysis. This is followed by separate chapters on the complexity of ecological systems and problems in their study and management; the organization and analytical procedures required by a large ecological systems study; telemetry and automatic data acquisition systems; and surveillance of the activities of small mammals. Subsequent chapters deal with the analysis of bird navigation experiments; the analysis of determination in population systems; building models of complex ecological systems; mathematical tools for the design of better salmon fishery management systems; and the evolution of ecological research programs.

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.

Systems Analysis and Simulation in Ecology, Volume I, is a book of ecology in transition from a ""soft"" science, synecology, to a ""hard"" science, systems ecology. It is an enthusiastic and optimistic statement about the fundamental adaptability of the scientific mechanism to newly appreciated truths of existence. It documents, in ecological science, a move away from the explanatory or cognitive criterion toward the predictive criterion, a hard one with the potential of leading ultimately to optimal design and control of ecosystems. The book is organized into three parts. Part I is an overview of some of the methods and rationales for ecological systems modeling for the purposes of simulation and systems analysis. It provides an elementary introduction to the use of analog and digital computers for simulation and a rationale for ecological model-building. Part II illustrates three different approaches to population modeling. These include a mathematical analysis of microbial (Chlorella, Selenastrum) dynamics in both continuous and batch cultures; and a bioenergetics study of the terrestrial isopod Armadillidium, utilizing concepts from control theory and the transfer function technique of classical dynamic analysis. Part III brings together a group of papers describing various aspects and philosophies of ecological simulation. These include common problems in ecosystem simulation and the question whether or not some of the newer methods of systems ecology might not be used in connection with some of the older data and observations of traditional synecology.

Can we coexist with the other life forms that have evolved on this planet? Are there realistic alternatives to fossil fuels that would sustainably provide for human society's energy needs and have fewer harmful effects? How do we deal with threats such as emergent diseases? Mathematical models—equations of various sorts capturing relationships between variables involved in a complex situation—are fundamental for understanding the potential consequences of choices we make. Extracting insights from the vast amounts of data we are able to collect requires analysis methods and statistical reasoning. This book on elementary topics in mathematical modeling and data analysis is intended for an undergraduate “liberal arts mathematics”-type course but with a specific focus on environmental applications. It is suitable for introductory courses with no prerequisites beyond high school mathematics. A great variety of exercises extends the discussions of the main text to new situations and/or introduces new real-world examples. Every chapter ends with a section of problems, as well as with an extended chapter project which often involves substantial computing work either in spreadsheet software or in the R statistical package.

Systems Analysis and Simulation in Ecology, Volume III, and its companion, Volume IV, grew out of a symposium, Modeling and Analysis of Ecosystems, held at the University of Georgia, 1-3 March 1973. The purposes of the meeting were to (i) review the status of ecosystem modeling, simulation, and analysis; (ii) provide a forum for interaction between U.S. International Biological Program (IBP) Biome modeling programs and selected non-IBP investigations involving systems approaches to ecosystem analysis; and (iii) identify and promote dialogue on key issues in macrosystem modeling. The volume is organized into two parts. Part I treats ecosystem modeling in the U.S. IBP. The introductory chapter is followed by five chapters describing grassland, deciduous forest, desert, tundra, and coniferous forest biome modeling. The concluding chapter is one of critique and evaluation. Part II is devoted mainly to freshwater ecosystems, grading into the estuarine system in the last chapter. The five chapters of this section encompass a simple thermal ecosystem, small woodland streams, a reservoir, one of the Great Lakes, a lake reclaimed from eutrophication, and a major estuary under stress of human impact.

Gordon Dickinson and Kevin Murphy introduce the basic concepts and processes in the ecosystem, and explore its role in solving environmental problems.