A decision inventory approach for improving decision support for climate change impact assessment and adaptation

Assessing and adapting to the impacts of climate change requires balancing social, economic, and environmental factors in the context of an ever-expanding range of objectives, uncertainties, and management options. The term decision support describes a diverse class of resources designed to help manage this complexity and assist decision makers in understanding impacts and evaluating management options. Most climate-related decision support resources implicitly assume that decision making is primarily limited by the quantity and quality of available information. However, a wide variety of evidence suggests that institutional, political, and communication processes are also integral to organizational decision making. Decision support resources designed to address these processes are underrepresented in existing tools. These persistent biases in the design and delivery of decision support may undermine efforts to move decision support from research to practice. The development of new approaches to decision support that consider a wider range of relevant issues is limited by the lack of information about the characteristics, context, and alternatives associated with climate-related decisions. We propose a new approach called a decision assessment and decision inventory that will provide systematic information describing the relevant attributes of climate-related decisions. This information can be used to improve the design of decision support resources, as well as to prioritize research and development investments. Application of this approach will help provide more effective decision support based on a balanced foundation of analytical tools, environmental data, and relevant information about decisions and decision makers.     

Evaluation that counts: A review of climate change adaptation indicators & metrics using lessons from effective evaluation and science-practice interaction

Amid growing effort to move towards implementation of climate change adaptation, serious interest is emerging about how to use indicators and metrics (I&M) to evaluate adaptation success. Cities are among the leading experimenters developing I&M, but many other entities also view I&M as a tool for providing clarity and accountability about the goals and progress of adaptation. The current landscape of this work is scattered: I&M examples, frameworks, and guidance documents reflect motivations, contexts, and approaches as diverse as the field of adaptation itself. This study systematically surveys the “growth industry” of I&M, including a special focus on I&M approaches developed for cities anywhere and by US cities in particular. We classify these I&M efforts into four domains: those developed in academia, by program sponsors, boundary organizations, and on-the-ground implementers. With attention to theory on (program) evaluation and on science-practice interaction, we reveal a broad range of I&M evaluation purposes and collaboration practices. We conclude that evaluation of adaptation progress and effectiveness – if it is to usefully inform the work of cities or other implementers – would benefit from greater attention to the best practices and guidance offered in the related, but largely still separate, fields of evaluation and science-practice interaction.