First Published in 2011. This book describes the application of an advanced analytical technique, simulation modeling, (WUSM) to a significant problem in resources management. It includes ideas which have grown out of practical resource management problems that have progressed through conceptual models to operational tools and finally to application in actual public land management settings. It is similarly rewarding to see the work being adapted for use by the National Park Service and other agencies at home and abroad.
First Published in 2011. This book describes the application of an advanced analytical technique, simulation modeling, (WUSM) to a significant problem in resources management. It includes ideas which have grown out of practical resource management problems that have progressed through conceptual models to operational tools and finally to application in actual public land management settings. It is similarly rewarding to see the work being adapted for use by the National Park Service and other agencies at home and abroad.
Our national parks are more than mere recreational destinations. They are repositories of the nation's biological diversity and contain some of the last ecosystem remnants needed as standards to set reasonable goals for sustainable development throughout the land. Nevertheless, public pressure for recreation has largely precluded adequate research and resource monitoring in national parks, and ignorance of ecosystem structure and function in parks has led to costly mistakes--such as predator control and fire suppression--that continue to threaten parks today. This volume demonstrates the value of ecological knowledge in protecting parks and shows how modest investments in knowledge of park ecosystems can pay handsome dividends. Science and Ecosystem Management in the National Parks presents twelve case studies of long-term research conducted in and around national parks that address major natural resource issues. These cases demonstrate how the use of longer time scales strongly influence our understanding of ecosystems and how interpretations of short-term patterns in nature often change when viewed in the context of long-term data sets. Most importantly, they show conclusively that scientific research significantly reduces uncertainty and improves resource management decisions. Chosen by scientists and senior park managers, the cases offer a broad range of topics, including: air quality at Grand Canyon; interaction between moose and wolf populations on Isle Royale; control of exotic species in Hawaiian parks; simulation of natural fire in the parks of the Sierra Nevada; and the impact of urban expansion on Saguaro National Monument. Because national parks are increasingly beset with conflicting views of their management, the need for knowledge of park ecosystems becomes even more critical--not only for the parks themselves, but for what they can tell us about survival in the rest of our world. This book demonstrates to policymakers and managers that decisions based on knowledge of ecosystems are more enduring and cost effective than decisions derived from uninformed consensus. It also provides scientists with models for designing research to meet threats to our most precious natural resources. "If we can learn to save the parks," observe Halvorson and Davis, "perhaps we can learn to save the world."
This fully updated second edition presents a conceptual framework of outdoor recreation management in the form of a series of management matrices. It then illustrates this framework through new and updated case studies in the US national parks, and concludes with the principles of outdoor recreation management. Managing Outdoor Recreation, 2nd Edition is an essential resource for undergraduate and graduate students of parks, outdoor recreation and related subjects, as well as a helpful tool for practitioners.
For those addressing ecological and natural resource management problems this volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modeling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors and also the success in applying such algorithms have not been adequately represented in the present literature. This book fills that gap and provides much needed information on applications for the research community as well as those in the management of natural resources.
