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This volume brings together, in a central text, chapters written by leading scholars working at the intersection of modeling, the natural and social sciences, and public participation. This book presents the current state of knowledge regarding the theory and practice of engaging stakeholders in environmental modeling for decision-making, and includes basic theoretical considerations, an overview of methods and tools available, and case study examples of these principles and methods in practice. Although there has been a significant increase in research and development regarding participatory modeling, a unifying text that provides an overview of the different methodologies available to scholars and a systematic review of case study applications has been largely unavailable. This edited volume seeks to address a gap in the literature and provide a primer that addresses the growing demand to adopt and apply a range of modeling methods that includes the public in environmental assessment and management. The book is divided into two main sections. The first part of the book covers basic considerations for including stakeholders in the modeling process and its intersection with the theory and practice of public participation in environmental decision-making. The second part of the book is devoted to specific applications and products of the various methods available through case study examination. This second part of the book also provides insight from several international experts currently working in the field about their approaches, types of interactions with stakeholders, models produced, and the challenges they perceived based on their practical experiences.
Many regulations issued by the U.S. Environmental Protection Agency (EPA) are based on the results of computer models. Models help EPA explain environmental phenomena in settings where direct observations are limited or unavailable, and anticipate the effects of agency policies on the environment, human health and the economy. Given the critical role played by models, the EPA asked the National Research Council to assess scientific issues related to the agency's selection and use of models in its decisions. The book recommends a series of guidelines and principles for improving agency models and decision-making processes. The centerpiece of the book's recommended vision is a life-cycle approach to model evaluation which includes peer review, corroboration of results, and other activities. This will enhance the agency's ability to respond to requirements from a 2001 law on information quality and improve policy development and implementation.
Publication of the Handbook of Group Decision and Negotiation marks a milestone in the evolution of the group decision and negotiation (GDN) eld. On this occasion, editors Colin Eden and Marc Kilgour asked me to write a brief history of the eld to provide background and context for the volume. They said that I am in a good position to do so: Actively involved in creating the GDN Section and serving as its chair; founding and leading the GDN journal, Group Decision and Negotiation as editor-in-chief, and the book series, “Advances in Group Decision and Negotiation” as editor; and serving as general chair of the GDN annual meetings. I accepted their invitation to write a brief history. In 1989 what is now the Institute for Operations Research and the Management Sciences (INFORMS) established its Section on Group Decision and Negotiation. The journal Group Decision and Negotiation was founded in 1992, published by Springer in cooperation with INFORMS and the GDN Section. In 2003, as an ext- sion of the journal, the Springer book series, “Advances in Group Decision and Negotiation” was inaugurated.
This book will serve as a readable introduction to ecological modeling for people involved in resource management and will also review models for specific applications of interest to more experienced modelers. Successful uses of ecological models as well as discussions of important issues in modeling are addressed. The authors of this volume hope to close the gap between the state of the art in ecological modeling and the state of the practice in the use of models in management decision making.
This book provides a touchstone in the development of collaborative modeling for decision support, an approach to decision-making where parties negotiate agreements by communicating through a mutually developed and accepted computer simulation model. The approach supports decision-making, promotes group learning, improves dialogue amont technical and political actors, encourages competing interests to identify trade-offs, and encourages negotiations among interests. It helps address the technical complexity and conflicting values often inherent in water resources management.Chapter authors from within and outside government define and describe the approach, offer case studies illustrating its application, and examine challenges and opportunities for improving water resources planning through its use. With its focus on the opportunity that lies at the intersection of scientific/technical advances and procedural/social interchange, the book provides a useful stepping stone in the evolving path of water resources management, illustrating the current state of the field and providing a resource for current and potential practitioners.
Ecological Modeling: An Introduction to the Art and Science of Modeling Ecological Systems, Volume 31, presents the skills needed to appropriately evaluate and use ecological models. Illustrated throughout with practical examples, the book discusses ecological modeling as both an art and a science, balancing the qualitative (artistic) side, with its foundations in common sense and modeling practice, against the quantitative (scientific) aspects of the modeling process. This book draws on the authors’ extensive experience in both teaching and using these techniques to provide readers with a practical, user-friendly guide that supports and encourages the appropriate, effective use of these tools. Provides readers with a commonsense understanding of the systems perspective and its foundations in general system theory Highlights the importance of a solid understanding of the qualitative aspects of the modeling process Facilitates the ability to appropriately evaluate and use ecological models Supports learning with a variety of simple examples to instill the desire and confidence to embark upon the modeling experience
A critical appraisal of why environmental policies fail and succeed, Environmental Policymaking and Stakeholder Collaboration provides policy makers with the keys to navigating complicated environmental issues and stakeholder negotiations. It covers theories in environmental policy making and stakeholder management, compares and contrasts failed an
The discipline of Integrated Environmental Modelling (IEM) has developed in order to solve complex environmental problems, for example understanding the impacts of climate change on the physical environment. IEM provides methods to fuse or link models together, this in turn requires facilities to make models discoverable and also to make the outputs of modelling easily visualized. The vision and challenges for IEM going forward are summarized by leading proponents. Several case studies describe the application of model fusion to a range of real-world problems including integrating groundwater and recharge models within the UK Environment Agency, and the development of ‘catastrophe’ models to predict better the impact of natural hazards. Communicating modelling results to end users who are often not specialist modellers is also an emerging area of research addressed within the volume. Also included are papers that highlight current developments of the technology platforms underpinning model fusion.
This book is a printed edition of the Special Issue "Water Governance, Stakeholder Engagement, and Sustainable Water Resources Management" that was published in Water
This volume is the result of an invited symposium titled "Integrated Land-Use and Environmental Models: A Survey of Current Applications and Research" that was held in October 2000 at Arizona State University. The idea for the symposium arose from a belief held by many academics that we are at the watershed of a new generation of models that are more dynamic, more pragmatic, more interdiscipli nary, and more amenable to collaborative decision making. Several academics and professionals engaged in urban research had long realized that domain-specific knowledge was inadequate for understanding and managing urban growth. While interdisciplinary approaches have become critical in most social research, one general area of knowledge that stands out as having the most wide-ranging impact on current urban modeling efforts is the field comprised of environmental sciences and ecology. The symposium offered a forum for academics and professionals engaged in urban and ecological modeling to exchange ideas and experiences, specifically in areas that overlapped urban and environmental issues. The contri butions to this volume highlight the progress made in the various efforts to build integrated urban and environmental models. More importantly, each chapter shows how ideas have diffused across disciplinary boundaries to create better policy-relevant models. In addition, this book outlines some promising areas of research that could make important contributions to the field of urban and envi ronmental modeling. Integrated thinking about urban and environmental issues has been fundamental to the concept of sustainability.