Earth is home to an estimated 8 million animal species, 600,000 fungi, 300,000 plants, and an undetermined number of microbial species. Of these animal, fungal, and plant species, an estimated 75% have yet to be identified. Moreover, the interactions between these species and their physical environment are known to an even lesser degree. At the same time, the earth’s biota faces the prospect of climate change, which may manifest slowly or extremely rapidly, as well as a human population set to grow by two billion by 2045 from the current seven billion. Given these major ecological changes, we cannot wait for a complete biota data set before assessing, planning, and acting to preserve the ecological balance of the earth. This book provides comprehensive coverage of the scientific and engineering basis of the systems ecology of the earth in 15 detailed, peer-reviewed entries written for a broad audience of undergraduate and graduate students as well as practicing professionals in government, academia, and industry. The methodology presented aims at identifying key interactions and environmental effects, and enabling a systems-level understanding even with our present state of factual knowledge.

Network thinking and network analysis are rapidly expanding features of ecological research. Network analysis of ecological systems include representations and modelling of the interactions in an ecosystem, in which species or factors are joined by pairwise connections. This book provides an overview of ecological network analysis including generating processes, the relationship between structure and dynamic function, and statistics and models for these networks. Starting with a general introduction to the composition of networks and their characteristics, it includes details on such topics as measures of network complexity, applications of spectral graph theory, how best to include indirect species interactions, and multilayer, multiplex and multilevel networks. Graduate students and researchers who want to develop and understand ecological networks in their research will find this volume inspiring and helpful. Detailed guidance to those already working in network ecology but looking for advice is also included.

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.

The Routledge Handbook of Research Methods for Social-Ecological Systems provides a synthetic guide to the range of methods that can be employed in social-ecological systems (SES) research. The book is primarily targeted at graduate students, lecturers and researchers working on SES, and has been written in a style that is accessible to readers entering the field from a variety of different disciplinary backgrounds. Each chapter discusses the types of SES questions to which the particular methods are suited and the potential resources and skills required for their implementation, and provides practical examples of the application of the methods. In addition, the book contains a conceptual and practical introduction to SES research, a discussion of key gaps and frontiers in SES research methods, and a glossary of key terms in SES research. Contributions from 97 different authors, situated at SES research hubs in 16 countries around the world, including South Africa, Sweden, Germany and Australia, bring a wealth of expertise and experience to this book. The first book to provide a guide and introduction specifically focused on methods for studying SES, this book will be of great interest to students and scholars of sustainability science, environmental management, global environmental change studies and environmental governance. The book will also be of interest to upper-level undergraduates and professionals working at the science–policy interface in the environmental arena.

This open access book reports on a pilot project aiming at collecting information on the socio-ecological risks that could arise in the event of an uncontrolled spread of genetically engineered organisms into the environment. The researchers will, for instance, be taking a closer look at genetically engineered oilseed rape, genetically engineered olive flies as well as plants and animals with so-called gene drives. The book mainly adresses researchers.

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.

Ecological resilience provides a theoretical foundation for understanding how complex systems adapt to and recover from localized disturbances like hurricanes, fires, pest outbreaks, and floods, as well as large-scale perturbations such as climate change. Ecologists have developed resilience theory over the past three decades in an effort to explain surprising and nonlinear dynamics of complex adaptive systems. Resilience theory is especially important to environmental scientists for its role in underpinning adaptive management approaches to ecosystem and resource management. Foundations of Ecological Resilience is a collection of the most important articles on the subject of ecological resilience—those writings that have defined and developed basic concepts in the field and help explain its importance and meaning for scientists and researchers. The book’s three sections cover articles that have shaped or defined the concepts and theories of resilience, including key papers that broke new conceptual ground and contributed novel ideas to the field; examples that demonstrate ecological resilience in a range of ecosystems; and articles that present practical methods for understanding and managing nonlinear ecosystem dynamics. Foundations of Ecological Resilience is an important contribution to our collective understanding of resilience and an invaluable resource for students and scholars in ecology, wildlife ecology, conservation biology, sustainability, environmental science, public policy, and related fields.