Uncertainty can take many forms, can be represented in many ways, and can have important implications in decision-making and policy development. This book provides a rigorous scientific framework for dealing with uncertainty in real-world situations, and provides a comprehensive study of concepts, measurements, and applications of uncertainty in ecological modeling and natural resource management. The focus of this book is on the kinds and implications of uncertainty in environmental modeling and management, with practical guidelines and examples for successful modeling and risk analysis in the face of uncertain conditions and incomplete information. Provided is a clear classification of uncertainty; methods for measuring, modeling, and communicating uncertainty; practical guidelines for capturing and representing expert knowledge and judgment; explanations of the role of uncertainty in decision-making; a guideline to avoiding logical fallacies when dealing with uncertainty; and several example cases of real-world ecological modeling and risk analysis to illustrate the concepts and approaches. Case topics provide examples of structured decision-making, statistical modeling, and related topics. A summary provides practical next steps that the reader can take in analyzing and interpreting uncertainty in real-world situations. Also provided is a glossary and a suite of references.

Uncertainty can take many forms, can be represented in many ways, and can have important implications in decision-making and policy development. This book provides a rigorous scientific framework for dealing with uncertainty in real-world situations, and provides a comprehensive study of concepts, measurements, and applications of uncertainty in ecological modeling and natural resource management. The focus of this book is on the kinds and implications of uncertainty in environmental modeling and management, with practical guidelines and examples for successful modeling and risk analysis in the face of uncertain conditions and incomplete information. Provided is a clear classification of uncertainty; methods for measuring, modeling, and communicating uncertainty; practical guidelines for capturing and representing expert knowledge and judgment; explanations of the role of uncertainty in decision-making; a guideline to avoiding logical fallacies when dealing with uncertainty; and several example cases of real-world ecological modeling and risk analysis to illustrate the concepts and approaches. Case topics provide examples of structured decision-making, statistical modeling, and related topics. A summary provides practical next steps that the reader can take in analyzing and interpreting uncertainty in real-world situations. Also provided is a glossary and a suite of references.

A look at how wildlife professionals can modernize their approaches to habitat and population management with a fresh take on animal ecology. How can we maximize the probability that a species of wild animal will persist into the future? This audacious book proposes that advancing animal ecology-and conservation itself-demands that we reenvision our basic understanding of how animals interact with their environments and with each other. Synthesizing where we are and where we need to go with our studies of animals and their environs, Foundations for Advancing Animal Ecology asserts that studies of animal ecology should begin with a focus on the behaviors and characteristics of individual organisms. The book examines * the limitations of classic approaches to the study of animal ecology * how organisms organize into collections, such as breeding pairs, flocks, and herds * how the broader biotic and abiotic environment shapes animal populations, communities, and ecosystems * factors underlying the distribution and abundance of species through space and time * the links between habitat and population * why communication between researchers and managers is key * specific strategies for managing wild animal populations and habitats in an evolutionary and ecosystem context Throughout, the authors stress the importance of speaking a common and well-defined language. Avoiding vague and misleading terminology, they argue, will help ecologists translate science into meaningful and lasting actions in the environment. Taking the perspective of the organism of interest in developing concepts and applications, the authors always keep the potentially biased human perspective in focus. A major advancement in understanding the factors underlying wildlife-habitat relationships, Foundations for Advancing Animal Ecology will be an invaluable resource to professionals and practitioners in natural resource management in public and private sectors, including state and federal agencies, non-governmental organizations, and environmental consultants.