This book reflects the results of more than ten years of cooperative research involving Wageningen Agricultural University (y. l AU) in the Netherlands, the Tropical Agricultural Research and Higher Education Center (CATIE; Centro Agron6mico Tropical de lnvestigaci6n y Ensefianza) in Costa Rica and the Costa Rican Ministry of Agriculture and Livestock (MAG; Ministerio de Agricultura y Ganadeda) as part of the Research Program on Sustainability in Agriculture (REPOSA) in the Central American country. The type of cooperation was unusual as it focused on both research and the education of students undertaking either M. Sc. thesis projects or a program of practical training in the various aspects of studying land use. Since funding was provided by W AU, a high degree of scientific autonomy was created that has clearly benefited the independent, scientific rigor of the work. Over the ten-year period, the program has changed from being a patchwork of various insulated specialist projects, into a truly interdisciplinary effort, leading to the development of innovative tools for analyzing land use on a number of geographical scales. These tools are presented in this book. Besides CATIE and MAG, cooperation with other Costa Rican partner institutions has been essential from the beginning, and this process of interaction has also evolved considerably over time.

People are constantly changing the land surface through construction, agriculture, energy production, and other activities. Changes both in how land is used by people (land use) and in the vegetation, rock, buildings, and other physical material that cover the Earth's surface (land cover) can be described and future land change can be projected using land-change models (LCMs). LCMs are a key means for understanding how humans are reshaping the Earth's surface in the past and present, for forecasting future landscape conditions, and for developing policies to manage our use of resources and the environment at scales ranging from an individual parcel of land in a city to vast expanses of forests around the world. Advancing Land Change Modeling: Opportunities and Research Requirements describes various LCM approaches, suggests guidance for their appropriate application, and makes recommendations to improve the integration of observation strategies into the models. This report provides a summary and evaluation of several modeling approaches, and their theoretical and empirical underpinnings, relative to complex land-change dynamics and processes, and identifies several opportunities for further advancing the science, data, and cyberinfrastructure involved in the LCM enterprise. Because of the numerous models available, the report focuses on describing the categories of approaches used along with selected examples, rather than providing a review of specific models. Additionally, because all modeling approaches have relative strengths and weaknesses, the report compares these relative to different purposes. Advancing Land Change Modeling's recommendations for assessment of future data and research needs will enable model outputs to better assist the science, policy, and decisionsupport communities.

Linking People, Place, and Policy: A GIScience Approach describes a breadth of research associated with the study of human-environment interactions, with particular emphasis on land use and land cover dynamics. This book examines the social, biophysical, and geographical drivers of land use and land cover patterns and their dynamics, which are interpreted within a policy-relevant context. Concepts, tools, and techniques within Geographic Information Science serve as the unifying methodological framework in which landscapes in Thailand, Ecuador, Kenya, Cambodia, China, Brazil, Nepal, and the United States are examined through analyses conducted using quantitative, qualitative, and image-based techniques. Linking People, Place, and Policy: A GIScience Approach addresses a need for a comprehensive and rigorous treatment of GIScience for research and study within the context of human-environment interactions. The human dimensions research community, land use and land cover change programs, and human and landscape ecology communities, among others, are collectively viewing the landscape within a spatially-explicit perspective, where people are viewed as agents of landscape change that shape and are shaped by the landscape, and where landscape form and function are assessed within a space-time context. This book articulates some of these challenges and opportunities.

This book provides an overview of quantitative approaches to analyse the effects of economic policy reforms on sustainable land use in less developed countries (LDCs). Its purpose is to assess recent advances in modelling approaches, to identify key issues in quantifying the relationships, and to formulate recommendations on future research directions that may add to further improve our understanding of the potential effects of economic policy instruments on soil quality changes in LDCs. Special attention is paid to modelling the responses of farm households to policy incentives.

As scientists and policymakers try to come to grips with problems such as climate change and risks to biodiversity, they turn more and more frequently to the method of scenario analysis to better understand the future of these problems. Over the last few years scenario analysis has become one of the key tools for bridging environmental science and policy. This is the first book to sum up the current practice of environmental scenario analysis and to propose directions for improving its quality and effectiveness. Chapters are written by an international group of distinguished scenario experts and provide an excellent starting basis for first-time scenario practitioners, as well as a collection of new ideas on improving scenario practice for experienced scenario analysts.* Comprehensive coverage and overview on environmental scenario analysis from a team of international experts* First book to address key contemporary issues involved with environmental scenario analysis* Gives guidelines for best practicesBenefits:* Excellent starting base for first-time scenario practitioners* Helps the reader to interpret scenarios and to place them into the correct context