Environmental applications have long been a core use of GIS. However, the effectiveness of GIS-based methods depends on the decision-making frameworks and contexts within which they are employed. GIS for Environmental Decision-Making takes an interdisciplinary look at the capacities of GIS to integrate, analyze, and display data on which decisions must be based. It provides a broad prospective on the current state of GIS for environmental decision-making and emphasizes the importance of matters related to data, analysis, and modeling tools, as well as stakeholder participation. The book is divided into three sections, which effectively relate to three key aspects of the decision-making process as supported by GIS: data required, tools being developed, and aspects of participation. The first section stresses the ability to integrate data from different sources as a defining characteristic of GIS and illustrates the benefits that this can bring in the context of deriving land-use and other information. The second section discusses a range of issues concerning the use of GIS for suitability mapping and strategic planning exercises, through illustrative examples. The last section of the book focuses on the use of GIS-based techniques to facilitate public participation in decision-making processes. In particular, it provides an overview of developments in this area, concentrating on how GIS, modeling, and 3D landscape visualization techniques are gradually achieving closer integration. Given the complex challenges presented by global environmental change, GIS for Environmental Decision-Making provides a clear illustration of how the use of GIS can make significant contributions totrans-disciplinary initiatives to address environmental problems.

Human well-being depends in many ways on maintaining the stock of natural resources which deliver the services from which human's benefit. However, these resources and flows of services are increasingly threatened by unsustainable and competing land uses. Particular threats exist to those public goods whose values are not well-represented in markets or whose deterioration will only affect future generations. As market forces alone are not sufficient, effective means for local and regional planning are needed in order to safeguard scarce natural resources, coordinate land uses and create sustainable landscape structures. This book argues that a solution to such challenges in Europe can be found by merging the landscape planning tradition with ecosystem services concepts. Landscape planning has strengths in recognition of public benefits and implementation mechanisms, while the ecosystem services approach makes the connection between the status of natural assets and human well-being more explicit. It can also provide an economic perspective, focused on individual preferences and benefits, which helps validate the acceptability of environmental planning goals. Thus linking landscape planning and ecosystem services provides a two-way benefit, creating a usable science to meet the needs of local and regional decision making. The book is structured around the Driving forces-Pressures-States-Impacts-Responses framework, providing an introduction to relevant concepts, methodologies and techniques. It presents a new, ecosystem services-informed, approach to landscape planning that constitutes both a framework and toolbox for students and practitioners to address the environmental and landscape challenges of 21st century Europe.

Environmental applications have long been a core use of GIS. However, the effectiveness of GIS-based methods depends on the decision-making frameworks and contexts within which they are employed. GIS for Environmental Decision-Making takes an interdisciplinary look at the capacities of GIS to integrate, analyze, and display data on which decisions must be based. It provides a broad prospective on the current state of GIS for environmental decision-making and emphasizes the importance of matters related to data, analysis, and modeling tools, as well as stakeholder participation.

The book is divided into three sections, which effectively relate to three key aspects of the decision-making process as supported by GIS: data required, tools being developed, and aspects of participation. The first section stresses the ability to integrate data from different sources as a defining characteristic of GIS and illustrates the benefits that this can bring in the context of deriving land-use and other information. The second section discusses a range of issues concerning the use of GIS for suitability mapping and strategic planning exercises, through illustrative examples. The last section of the book focuses on the use of GIS-based techniques to facilitate public participation in decision-making processes. In particular, it provides an overview of developments in this area, concentrating on how GIS, modeling, and 3D landscape visualization techniques are gradually achieving closer integration.

Given the complex challenges presented by global environmental change, GIS for Environmental Decision-Making provides a clear illustration of how the use of GIS can make significant contributions to trans-disciplinary initiatives to address environmental problems.

Table of Contents

Introduction. Data for Decision-Making. Tools to Support Decision-Making. Participation in Decision-Making.

The complex real-world interactions between the economy and the environment form both the focus of and main barrier to applied research within the field of environmental economics. However, geographical information systems (GIS) allow economists to tackle such complexity head on by directly incorporating diverse datasets into applied research rather than resorting to simplifying and often unrealistic assumptions. This innovative book applies GIS techniques to spatial cost-benefit analysis of a complex and topical land use change problem - the conversion of agricultural land to multipurpose woodland - looking in detail at issues such as opportunity costs, timber yield, recreation, carbon storage, etc., and embracing cost-cutting themes such as the evaluation of environmental preferences and the spatial transfer of benefit functions.