Peter D. Howe

Mapping the shadow of experience of extreme weather events

Climate change will increase the frequency and/or intensity of certain extreme weather events, and perceived experience with extreme weather may influence climate change beliefs, attitudes, and behaviors. However, the aspects of extreme events that influence whether or not people perceive that they have personally experienced them remain unclear. We investigate (1) the correspondence of reported experience of extreme weather events with documented events, and (2) how characteristics of different extreme events shape the geographic area within which people are likely to report they have experienced it—the event’s perceived “shadow of experience.” We overlay geocoded survey responses indicating personal experience with hurricanes, tornadoes, and drought—from a 2012 nationally representative survey (N = 1,008) of U.S. residents—on maps of recorded event impacts. We find that reported experiences correspond well with recorded event impacts, particularly for hurricanes and tornadoes. Reported experiences were related to event type, proximity, magnitude and duration. The results suggest locations where disaster preparedness efforts and climate change education campaigns could be most effective after an extreme weather event.

The Participatory Vulnerability Scoping Diagram: Deliberative Risk Ranking for Community Water Systems

Natural hazards and climate change present growing challenges to community water system (CWS) managers, who are increasingly turning to vulnerability assessments to identify, prioritize, and adapt to risks. Effectively assessing CWS vulnerability requires information and participation from various sources, one of which is stakeholders. In this article, we present a deliberative risk-ranking methodology, the participatory vulnerability scoping diagram (P-VSD), which allows rapid assessment and integration of multiple stakeholder perspectives of vulnerability. This technique is based on methods of deliberative risk evaluation and the vulnerability scoping diagram. The goal of the methodology is to engage CWS managers and stakeholders collectively to provide qualitative contextual risk rankings as a first step in a vulnerability assessment. We conduct an initial assessment using a case study of CWS in two U.S. counties, sites with broadly similar exposures but differences in population, land use, and other social sensitivity factors. Results demonstrate that CWS managers and stakeholders in the two case study communities all share the belief that their CWS are vulnerable to hazards but differ in how this vulnerability manifests itself in terms of the exposure, sensitivity, and adaptive capacity of the system.

Public perceptions of rainfall change in India

People’s perceptions of changes in local weather patterns are an important precursor to proactive adaptation to climate change. In this paper, we consider public perceptions of changes in average rainfall in India, analyzing the relationship between perceptions and the instrumental record. Using data from a national sample survey, we find that local instrumental records of precipitation are a strong predictor of perceived declines in rainfall. Perceptions of decreasing rainfall were also associated with perceptions of changes in extreme weather events, such as decreasing frequency of floods and severe storms, increasing frequency of droughts, and decreasing predictability of the monsoon. Higher social vulnerability—including low perceived adaptive capacity and greater food and livelihood dependence on local weather—was also associated with perceptions of decreasing rainfall. While both urban and rural respondents were likely to perceive local changes in precipitation, we show that rural respondents in general were more sensitive to actual changes in precipitation. Individual perceptions of changes in local climate may play an important role in shaping vulnerability to global climate change, adaptive behavior, and support for adaptation and mitigation policies. Awareness of local climate change is therefore particularly important in regions where much of the population is highly exposed and sensitive to the impacts of climate change.

A support system for assessing local vulnerability to weather and climate

The changing number and nature of weather- and climate-related natural hazards is causing more communities to need to assess their vulnerabilities. Vulnerability assessments, however, often require considerable expertise and resources that are not available or too expensive for many communities. To meet the need for an easy-to-use, cost-effective vulnerability assessment tool for communities, a prototype online vulnerability assessment support system was built and tested. This prototype tool guides users through a stakeholder-based vulnerability assessment that breaks the process into four easy-to-implement steps. Data sources are integrated in the online environment so that perceived risks—defined and prioritized qualitatively by users—can be compared and discussed against the impacts that past events have had on the community. The support system is limited in scope, and the locations of the case studies do not provide a sufficiently broad range of sample cases. The addition of more publically available hazard databases combined with future improvements in the support system architecture and software will expand opportunities for testing and fully implementing the support system.

The Distribution of Climate Change Public Opinion in Canada

While climate scientists have developed high resolution data sets on the distribution of climate risks, we still lack comparable data on the local distribution of public climate change opinions. This paper provides the first effort to estimate local climate and energy opinion variability outside the United States. Using a multi-level regression and post-stratification (MRP) approach, we estimate opinion in federal electoral districts and provinces. We demonstrate that a majority of the Canadian public consistently believes that climate change is happening. Belief in climate change’s causes varies geographically, with more people attributing it to human activity in urban as opposed to rural areas. Most prominently, we find majority support for carbon cap and trade policy in every province and district. By contrast, support for carbon taxation is more heterogeneous. Compared to the distribution of US climate opinions, Canadians believe climate change is happening at higher levels. This new opinion data set will support climate policy analysis and climate policy decision making at national, provincial and local levels.

Linking models of human behaviour and climate alters projected climate change

Although not considered in climate models, perceived risk stemming from extreme climate events may induce behavioural changes that alter greenhouse gas emissions. Here, we link the C-ROADS climate model to a social model of behavioural change to examine how interactions between perceived risk and emissions behaviour influence projected climate change. Our coupled climate and social model resulted in a global temperature change ranging from 3.4–6.2 °C by 2100 compared with 4.9 °C for the C-ROADS model alone, and led to behavioural uncertainty that was of a similar magnitude to physical uncertainty (2.8 °C versus 3.5 °C). Model components with the largest influence on temperature were the functional form of response to extreme events, interaction of perceived behavioural control with perceived social norms, and behaviours leading to sustained emissions reductions. Our results suggest that policies emphasizing the appropriate attribution of extreme events to climate change and infrastructural mitigation may reduce climate change the most.Human behaviour is an important driver of emissions. A system-dynamics model that couples a psychological model of behaviour with a model of emissions and climate change shows that behaviour can influence global temperature in the year 2100 by up to 1.5 °C.

Spatial heterogeneity of climate change as an experiential basis for skepticism

Significance We develop a simple heuristic to measure local changes in climate based on the timing of record high and low temperatures. The metric shows local cooling and warming in the United States and captures two aspects of experiential learning that influence how the public perceives a change in climate: recency weighting and an emphasis on extreme events. We find that skepticism about whether the Earth is warming is greater in areas exhibiting cooling relative to areas that have warmed and that recent cooling can offset historical warming. This experiential basis for skepticism of climate change identifies obstacles to communicating ongoing changes in climate to the public and how these communications might be improved. We postulate that skepticism about climate change is partially caused by the spatial heterogeneity of climate change, which exposes experiential learners to climate heuristics that differ from the global average. This hypothesis is tested by formalizing an index that measures local changes in climate using station data and comparing this index with survey-based model estimates of county-level opinion about whether global warming is happening. Results indicate that more stations exhibit cooling and warming than predicted by random chance and that spatial variations in these changes can account for spatial variations in the percentage of the population that believes that “global warming is happening.” This effect is diminished in areas that have experienced more record low temperatures than record highs since 2005. Together, these results suggest that skepticism about climate change is driven partially by personal experiences; an accurate heuristic for local changes in climate identifies obstacles to communicating ongoing changes in climate to the public and how these communications might be improved.

The spatial distribution of Republican and Democratic climate opinions at state and local scales

Even as US partisan polarization shapes climate and energy attitudes, substantial heterogeneity in climate opinions still exists among both Republicans and Democrats. To date, our understanding of this partisan heterogeneity has been limited to analysis of national- or, less commonly, state-level opinion poll subsamples. However, the dynamics of political representation and issue commitments play out over more finely resolved state and local scales. Here we use previously validated multilevel regression and post-stratification (MRP) models (Howe et al., Nat Clim Chang 5(6):596–603 2015; Mildenberger et al., PLoS One 11(8):e0159774 2016) combined with a novel approach to measuring the distribution of party members to model, for the first time, the spatial distribution of partisan climate and energy opinions. We find substantial geographic variation in Republican climate opinions across states and congressional districts. While Democratic party members consistently think human-caused global warming is happening and support climate policy reforms, the intensity of their climate beliefs also varies spatially at state and local scales. These results have policy-relevant implications for the trajectory of US climate policy reforms.

The Role of Collective Efficacy in Climate Change Adaptation in India

AbstractResearch on adaptive capacity often focuses on economics and technology, despite evidence from the social sciences finding that socially shared beliefs, norms, and networks are critical in increasing individuals’ and communities’ adaptive capacity. Drawing upon social cognitive theory, this paper builds on the first author’s Ph.D. dissertation and examines the role of collective efficacy—people’s shared beliefs about their group’s capabilities to accomplish collective tasks—in influencing Indians’ capacity to adapt to drinking water scarcity, a condition likely to be exacerbated by future climate change. Using data from a national survey (N = 4031), individuals with robust collective efficacy beliefs were found to be more likely to participate in community activities intended to ensure the adequacy of water supplies, and this relationship was found to be stronger in communities with high levels of community collective efficacy compared to communities with low levels of community collective efficac...

Detecting local environmental change: the role of experience in shaping risk judgments about global warming

Abstract Anthropogenic climate change is increasing the frequency and severity of extreme weather events (e.g. flooding, heat waves, and wildfires). As a result, it is often reasoned that as more individuals experience unusual weather patterns that are consistent with changing climate conditions, the more their concern about global warming will increase, and the more motivated they will become to respond and address the problem effectively. Social science research evaluating the relationships between personal experiences with and risk perceptions of climate change, however, show mixed results. Here, we analyze a representative statewide survey of Floridians and compare their risk perceptions of five-year trends in climate change with local weather station data from the five years preceding the survey. The results show that Floridians are unable to detect five-year increases in temperature, but some can detect changes in precipitation. Despite an inability to detect the correct direction of change, respondents were significantly more likely than not to correctly identify the season in which most change occurred. Nevertheless, compared to local experience, risk perceptions of climate change were more strongly predicted by subjective experiences of environmental change, personal beliefs about climate change, and political ideology. Results from the study suggest that long-term changes in climate patterns and extreme weather events need to be interpreted by weather and climate experts within the context of climate change; individuals cannot be expected to detect or comprehend such complex linkages directly.