17 pages., via online journal, By analyzing interview and survey data from U.S. Forest Service
employees, we examined the strategies used for communicating about
climate change within the agency and their effectiveness from the
perspective of agency employees. We found a limited awareness among
employees regarding climate policy. We found that horizontal information
flow through informal social networks was an important way in which
climate-change information was communicated. We also found a lack of
confidence among employees in their ability to provide feedback to
agency leadership. Our results suggest that (1) agency leadership’s ability
to set priorities and deliver positive vision is important for increasing
employee awareness and inspiring actions, (2) the agency could play a
role in facilitating formal and informal networking among employees, and
(3) using advanced information technologies may contribute to information flow horizontally and vertically, formally and informally.
16 pages., via online journal., While previous research into understandings of climate change has usually examined general public perceptions, this study offers an audience-specific departure point. This article analyses how Swedish farmers perceive climate change and how they jointly shape their understandings. The agricultural sector is of special interest because it both contributes to and is directly affected by climate change. Through focus group discussions with Swedish farmers, this study finds that (1) farmers relate to and understand climate change through their own experiences, (2) climate change is understood either as a natural process subject to little or no human influence or as anthropogenic and (3) various communication tools contribute to the formation of natural and anthropogenic climate change frames. The article ends by discussing frame resonance and frame clash in public understanding of climate change and by comparing potential similarities and differences in how various segments of the public make sense of climate change.
14 pages., via online journal., This research aims to identify and communicate water-related vulnerabilities in transport infrastructure, specifically flood risk of road/rail-stream intersections, based on watershed characteristics. This was done using flooding in Värmland and Västra Götaland, Sweden in August 2014 as case studies on which risk models are built. Three different statistical modelling approaches were considered: a partial least square regression, a binomial logistic regression, and artificial neural networks. Using the results of the different modelling approaches together in an ensemble makes it possible to cross-validate their results. To help visualize this and provide a tool for communication with stakeholders (e.g., the Swedish Transport Administration - Trafikverket), a flood ‘thermometer’ indicating the level of flooding risk at a given point was developed. This tool improved stakeholder interaction and helped highlight the need for better data collection in order to increase the accuracy and generalizability of modelling approaches.
