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.

The complex and multidisciplinary nature of environmental problems requires that they are dealt with in an integrated manner. Modeling and software have become key instruments used to promote sustainability and improve environmental decision processes, especially through systematic integration of various knowledge and data and their ability to foster learning and help make predictions. This book presents the current state-of-the-art in environmental modeling and software and identifies the future challenges in the field. State-of-the-art in environmental modeling and software theory and practice for integrated assessment and management serves as a starting point for researchers Identifies the areas of research and practice required for advancing the requisite knowledge base and tools, and their wider usage Best practices of environmental modeling enables the reader to select appropriate software and gives the reader tools to integrate natural system dynamics with human dimensions

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.

Scientific research is key to understanding complex environmental systems and informing decisions about natural resource management in the context of climate change. However, when environmental science research is conducted without active stakeholder engagement, the result is typically development of new knowledge that does not directly serve the needs of individuals, industries and organizations that make decisions about environmental policy and resource management. Recent decades have seen rapidly expanding efforts to conduct environmental science research that directly informs government policies and private decision-makers' management plans, yet significant barriers remain in the pursuit of usable climate science. Strategies for effective collaboration among researchers and stakeholders, who have diverse needs and expertise, are not well developed. Metrics are needed for evaluating approaches to usable climate science production. This research advances understanding of how to foster effective stakeholder engagement for usable climate science outputs, focusing on regional environmental modeling efforts based at universities. By tracking researchers' perceptions about stakeholder engagement over the course of a 5-year project, assessing stakeholders' information needs and perceptions of research and identifying characteristics of effective boundary-spanning organizations, this work suggests strategies for evaluating the effectiveness of efforts to produce usable climate science and identifies strategies for academic scientists to develop their capacity to bridge boundaries between research and decision-making.

The book has two aims: to introduce basic concepts of environmental modelling and to facilitate the application of the concepts using modern numerical tools such as MATLAB. It is targeted at all natural scientists dealing with the environment: process and chemical engineers, physicists, chemists, biologists, biochemists, hydrogeologists, geochemists and ecologists. MATLAB was chosen as the major computer tool for modeling, firstly because it is unique in it's capabilities, and secondly because it is available in most academic institutions, in all universities and in the research departments of many companies. In the 2nd edition many chapters will include updated and extended material. In addition the MATLAB command index will be updated and a new chapter on numerical methods will be added. For the second edition of 'Environmental Modeling' the first edition was completely revised. Text and figures were adapted to the recent MATLAB® version. Several chapters were extended. Correspondingly the index of MATLAB commands was extended considerably, which makes the book even more suitable to be used as a reference work by novices. Finally an introduction into numerical methods was added as a new chapter. “/p>

Participatory Modelling for Resilient Futures: Action for Managing Our Environment from the Bottom-Up, Volume One provides an important contribution to environmental management by introducing an integrative framework for participatory research for better land use and natural resource planning, organized around compelling recent case studies. It is a valuable guide for the increasing number of students looking for solutions in sustainability science and also practitioners who are on the ground working with local communities to improve specific places. The book was developed in response to the need to provide a clear and synthetic account, in accessible and non-technical language, of the way in which innovative integrative research can help solve real world human-environment interaction problems at a range of levels and scales, e.g., participatory modelling to secure a sustainable future for a natural protected area, working with stakeholders to break the deadlock on renewable energy implementation in Europe or tackling social exclusion and reducing food carbon footprint through local agroecology schemes. Makes modeling approaches accessible so environmental and natural resource managers can make more precise decisions, accounting for a positive and negative impacts of ecosystem changes Provides recent real cases to demonstrate implementation of the concepts, allowing the reader to see how to bridge scientific research and societal needs in order to effectively translate knowledge into action Provides an integrated perspective incorporating science, politics and society, as well as a toolbox of methodologies to enhance participation and engagement of key stakeholders

This textbook presents the timeless basic physical and mathematical principles and philosophy of environmental modeling to students who need to be taught how to think in a different way than they would for more narrowly-defined engineering or physics problems. Examples come from a range of hydrologic, atmospheric, and geophysical problems.