The relevance of case studies in climate change research: a review of policy recommendations

Abstract

In the age of big data, case studies build the foundation for the large-scale models that are increasingly being used for decision and policymaking. In this systematic literature review, we investigated the geographic, methodological, and conceptual characteristics of case studies in climate change science to evaluate the extent they provide policy recommendations to answer the questions: how can researchers best gather and report policy-relevant information for climate change adaptation, resilience, and/or recovery? What are the current themes within the literature, and how can these areas best advance as policy-relevant fields within climate change science? Findings highlight that policy recommendations were more robust, and significantly more likely, in case studies that employ participatory research methods; and geographic characteristics and use of theoretical frameworks are associated with providing policy recommendations. On the other hand, studies that focus on biophysical parameters of climate change offered weak or no policy recommendations. Thus, we conclude that local-level case study research can serve as validation and calibration data for large-scale models as long as they accurately represent the local values and perceptions of the people in the study area. We elaborate on the opportunities that exist in non-human, biophysical, research for communicating findings to policy-friendly audiences.