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Author: Paul J. Culhane Publisher: CRC Press ISBN: 0429709315 Category : Science Languages : en Pages : 258
Book Description
This book evaluates the predictive accuracy of the forecasts in a sample of federal environmental impact statements. It examines a major federal attempt to impose rationalistic reforms on government decision makers and the first view of National Environmental Policy Act reforms.
Author: Paul J. Culhane Publisher: CRC Press ISBN: 0429709315 Category : Science Languages : en Pages : 258
Book Description
This book evaluates the predictive accuracy of the forecasts in a sample of federal environmental impact statements. It examines a major federal attempt to impose rationalistic reforms on government decision makers and the first view of National Environmental Policy Act reforms.
Author: National Research Council Publisher: National Academies Press ISBN: 0309095409 Category : Science Languages : en Pages : 297
Book Description
With the growing number, complexity, and importance of environmental problems come demands to include a full range of intellectual disciplines and scholarly traditions to help define and eventually manage such problems more effectively. Decision Making for the Environment: Social and Behavioral Science Research Priorities is the result of a 2-year effort by 12 social and behavioral scientists, scholars, and practitioners. The report sets research priorities for the social and behavioral sciences as they relate to several different kinds of environmental problems.
Author: Virginia H. Dale Publisher: Springer ISBN: 1461214181 Category : Technology & Engineering Languages : en Pages : 357
Book Description
This book is unique in identifying and presenting tools to environmental decision-makers to help them improve the quality and clarity of their work. These tools range from software to policy approaches, and from environmental databases to focus groups. Equally of value to environmental managers, and students in environmental risk, policy, economics and law.
Author: J. Scott Armstrong Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
This chapter has described tools to improve forecasting of trends and of the effects of interventions. Among these methods, role playing and rule-based forecasting have seldom been used lot environmental forecasting. Role playing is appropriate when forecasting the outcome of a situation involving conflict among various parties. Rule-based forecasting is relevant when the forecasters have time-series data and relevant domain knowledge, and it is especially useful when recent trends conflict with expectations. A key theme running throughout these procedures is objectivity. The attainment of objectivity is critical in the use of judgment. The route to objectivity is through structure, and it is enhanced by using quantitative methods, using structured judgment as an input to these quantitative methods, providing full disclosure, and employing auditing procedures, such as review panels.
Author: Michael C. Dietze Publisher: Princeton University Press ISBN: 1400885450 Category : Science Languages : en Pages : 285
Book Description
An authoritative and accessible introduction to the concepts and tools needed to make ecology a more predictive science Ecologists are being asked to respond to unprecedented environmental challenges. How can they provide the best available scientific information about what will happen in the future? Ecological Forecasting is the first book to bring together the concepts and tools needed to make ecology a more predictive science. Ecological Forecasting presents a new way of doing ecology. A closer connection between data and models can help us to project our current understanding of ecological processes into new places and times. This accessible and comprehensive book covers a wealth of topics, including Bayesian calibration and the complexities of real-world data; uncertainty quantification, partitioning, propagation, and analysis; feedbacks from models to measurements; state-space models and data fusion; iterative forecasting and the forecast cycle; and decision support. Features case studies that highlight the advances and opportunities in forecasting across a range of ecological subdisciplines, such as epidemiology, fisheries, endangered species, biodiversity, and the carbon cycle Presents a probabilistic approach to prediction and iteratively updating forecasts based on new data Describes statistical and informatics tools for bringing models and data together, with emphasis on: Quantifying and partitioning uncertainties Dealing with the complexities of real-world data Feedbacks to identifying data needs, improving models, and decision support Numerous hands-on activities in R available online
Author: Daniel R. Sarewitz Publisher: ISBN: Category : Education Languages : en Pages : 434
Book Description
Based upon ten case studies, Prediction explores how science-based predictions guide policy making and what this means in terms of global warming, biogenetically modifying organisms and polluting the environment with chemicals.
Author: Institute of Medicine Publisher: National Academies Press ISBN: 0309290236 Category : Political Science Languages : en Pages : 280
Book Description
The U.S. Environmental Protection Agency (EPA) is one of several federal agencies responsible for protecting Americans against significant risks to human health and the environment. As part of that mission, EPA estimates the nature, magnitude, and likelihood of risks to human health and the environment; identifies the potential regulatory actions that will mitigate those risks and protect public health1 and the environment; and uses that information to decide on appropriate regulatory action. Uncertainties, both qualitative and quantitative, in the data and analyses on which these decisions are based enter into the process at each step. As a result, the informed identification and use of the uncertainties inherent in the process is an essential feature of environmental decision making. EPA requested that the Institute of Medicine (IOM) convene a committee to provide guidance to its decision makers and their partners in states and localities on approaches to managing risk in different contexts when uncertainty is present. It also sought guidance on how information on uncertainty should be presented to help risk managers make sound decisions and to increase transparency in its communications with the public about those decisions. Given that its charge is not limited to human health risk assessment and includes broad questions about managing risks and decision making, in this report the committee examines the analysis of uncertainty in those other areas in addition to human health risks. Environmental Decisions in the Face of Uncertainty explains the statement of task and summarizes the findings of the committee.
Author: National Research Council Publisher: National Academies Press ISBN: 0309180538 Category : Science Languages : en Pages : 124
Book Description
Uncertainty is a fundamental characteristic of weather, seasonal climate, and hydrological prediction, and no forecast is complete without a description of its uncertainty. Effective communication of uncertainty helps people better understand the likelihood of a particular event and improves their ability to make decisions based on the forecast. Nonetheless, for decades, users of these forecasts have been conditioned to receive incomplete information about uncertainty. They have become used to single-valued (deterministic) forecasts (e.g., "the high temperature will be 70 degrees Farenheit 9 days from now") and applied their own experience in determining how much confidence to place in the forecast. Most forecast products from the public and private sectors, including those from the National Oceanographic and Atmospheric Administration's National Weather Service, continue this deterministic legacy. Fortunately, the National Weather Service and others in the prediction community have recognized the need to view uncertainty as a fundamental part of forecasts. By partnering with other segments of the community to understand user needs, generate relevant and rich informational products, and utilize effective communication vehicles, the National Weather Service can take a leading role in the transition to widespread, effective incorporation of uncertainty information into predictions. "Completing the Forecast" makes recommendations to the National Weather Service and the broader prediction community on how to make this transition.
Author: Paul J. Culhane
Author: Paul J. Culhane
Author: Paul J. Culhane
Author: National Research Council
Author: Virginia H. Dale
Author: J. Scott Armstrong
Author: Michael C. Dietze
Author: Daniel R. Sarewitz
Author: Institute of Medicine
Author: National Research Council
Author: David William Pearce