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This study examines support for climate adaptation planning and the role of perceived risk, uncertainty, and trust on adaptation of U.S. coastal communities. This assessment is based on the analysis of web-based questionnaires (n = 137) among state, local, and non-government organization (NGO) planners in Alaska, Florida, and Maryland. Ordinal regression and correlation analysis were used to assess which factors are related to support for adaptation during two planning stages. Findings from this study suggest the influence of perceived risk, uncertainty, and trust on support for climate change adaptation (CCA) varies across two stages of adaptation planning (support for the development of plans and willingness to allocate human and financial resources to implement plans). The disaggregation of planning entities into different study areas and levels of management revealed significant differences in the relationship between perceived risk, uncertainty, and trust and support for CCA planning. These findings have implications for the design of communication and engagement strategies.

This paper analyzes the information dissemination pathways that support climate-sensitive decisions in North and South Carolina. The study draws from over 100 online questionnaires and follow-up interviews with leaders in the forestry, natural resources management, planning and preparedness, tourism and recreation, and water supply management sectors. Participants represented subregions within each state, different types of organizations, and organizations working at different geographic scales. The cross-sector comparison demonstrates diverse information uses across multiple time horizons and a wide range of sector-specific needs and factors that influence how and where decision makers obtain climate information. It builds upon previous research regarding climate decision making by providing a comprehensive view of the patterns of information exchange within a given region. Although all sectors draw from a common pool of federal agencies for historical and current climate data, participants consider sector-specific and local sources to be their key climate information providers. Information obtained through these sources is more likely to be trusted, accessible, and relevant for decision making. Furthermore, information sharing is largely facilitated via subregional networks, and accessing relationships with colleagues and local agency personnel is a critical component of this process. This study provides a more nuanced understanding of how climate information use varies across sectors and time frames and the decentralized nature of existing networks. These findings have important implications for future efforts to provide climate decision support to state- and local-level decision makers and highlight the need for networks and processes that meet diverse regional and sector concerns and contexts.