• Energy Research

California's wine grape growers will face increasing challenges under a changing climate as most production occurs near the boundaries of current varieties' climatic thresholds. As part of this study, we developed a method for transforming downscaled climate information from the publicly available Cal-Adapt database into useful and useable climate projections for vineyard managers and advisors in the Paso Robles American Viticultural Area. We shared vineyard-specific projections during interviews of 20 managers and advisors. Overall, interviewees expressed trust in the projections and found them helpful in reducing their psychological distance from climate change. The projections prompted consideration of strategies for managing future climate risk and planning adaptation, with the majority of adaptations associated with long-term decisions such as row orientation, variety selection, dry farming, crop diversification and relocation. Agri-climatic decision support tools such as the one prototyped here may prove especially helpful for incorporating climate adaptation into the long-term business planning and vineyard redevelopment decisions facing managers and advisors in the near future. This approach could be extended to other California wine grape regions or to other perennial crops with expected vulnerabilities to climate change.

Agricultural decision support tools (DSTs) with weather or climate information can provide useful information to help stakeholders make operational farming decisions and adapt to increasingly variable weather or climate in the context of climate change. However, many of these DSTs are still not fully utilized. Understanding the use of DSTs can help identify strategies to promote their usage to more end-users. This study surveyed farmers (n = 2,633) and advisors (n = 2,719) across 12 states in the Midwest to draw comparisons on their usage of DSTs and factors influencing the usage. The advisors are more likely to take advantage of free and publicly available sources than farmers. Advisors are also more likely to agree on the usefulness of DSTs, feel social pressure to use DSTs, be concerned and perceive risks from variable weather, believe in climate change, and show positive attitudes towards climate change adaptation than farmers. Concerns about weather or climate, descriptive social norms, greater farm size, and general propensity to adopt a new technology are positively associated with higher adoption rate of DSTs for both farmers and advisors. Higher level of perceived behavioral control to deal with weather-related risks, injunctive social norms, gender (male), and age are positively associated with higher adoption rate of DSTs for only advisors. Positive adaptation attitude towards climate change and higher education level are positively associated with higher adoption rate of DSTs for only farmers. Unlike advisors, age is negatively associated with higher adoption rate of DSTs for farmers. Implications of our findings include DST educators leveraging social networks and reinforcing social norms to promote usage among current non-users, building up both farmers' and advisors' confidence and knowledge in using DSTs, understanding the role of advisors as "change agents" to promote DST usage among farmers, and connecting networks of "innovators" and "early adopters." With more and more DSTs developed, future scholarship can draw upon our findings to understand how to encourage DSTs adoption among current non-users and extend to other regions.