Who remembers a hot summer or a cold winter? The asymmetric effect of beliefs about global warming on perceptions of local climate conditions in the U.S.
Introduction
Thus far, global warming has manifested gradually over many decades and at spatial scales well beyond the direct perceptual capabilities of any individual human being (e.g. the global or continental scale). Local weather conditions, on the other hand, are a readily available source of information that, when aggregated over time, may enable people to detect long-term climate trends at the local scale (Howe et al., 2013, Orlove et al., 2010). The translation of personal experience of changes in local weather conditions to perceptions of climate variability and change is an important component of individual and community adaptation (Adger et al., 2007). Research on local climate knowledge has found that people are able to detect and respond to changes in climate (Strauss and Orlove, 2003), but the characteristics of local manifestations of climate change that are perceived have been hypothesized to be dependent on a variety of individual and contextual factors. These factors include the importance of specific climatic conditions to individual livelihoods (Meze-Hausken, 2004, Osbahr et al., 2011, Roncoli et al., 2002), the spatial scale of changes (Howe et al., 2013, Ruddell et al., 2012), and the reference periods over which individuals establish representations of a normal climate (Hulme et al., 2009, Sánchez-Cortés and Chavero, 2011). Perceptions of change in local climate, as with other individual judgments, may be subject to systematic cognitive biases that favor experiential over descriptive learning (Marx et al., 2007). However, there has been little attention to the possibility of biased perceptions of climate change at the local scale due to pre-existing beliefs about climate change at the global scale. The existence of strongly held beliefs about the direction of change in the global climate may bias judgments about local climate in the direction predicted by one's prior beliefs about the global climate. Such biases in local climate perceptions, if present, may act as a barrier to accurate detection of local climate change and an impediment to effective climate change adaptation.
Recent research has shown that perceived personal experience with global warming leads to heightened global warming risk perceptions and greater certainty in the belief that global warming is happening (Akerlof et al., 2013, Myers et al., 2012, Spence et al., 2011). More specifically, perceived experience appears to lead to greater certainty that global warming is happening only among those who have weakly held beliefs about global warming, while motivated reasoning affects perceived personal experience among those who have strongly held beliefs about global warming (Myers et al., 2012). Motivated reasoning is the tendency to interpret information to fit pre-existing beliefs (Kunda, 1990). In this paper, we extend previous findings by exploring the effect of motivated reasoning on perceptions of local seasonal climate while controlling for actual local climate conditions. Drawing from a nationally representative survey of the U.S. population, we first characterize the relationship between instrumental climate data and perceptions of local seasonal climate. We subsequently examine the relationship between sets of beliefs about global warming and perceptions of local climate conditions.
The relationship between personal experience and beliefs about global warming is of considerable interest as changes in local weather and climate conditions continue to be consistent with scientific projections of global warming. For example, between January 2000 and September 2009 maximum temperature records were broken more than twice as frequently as minimum temperature records in the contiguous U.S. (Meehl et al., 2009), and extreme events such as the 2011 Texas heat wave and drought have become much more likely (Peterson et al., 2012). While direct attribution of any single weather event to long-term processes like global warming is not possible, the accumulation of weather events that fall outside the range of previous experience does provide evidence that the climate is changing, since local extreme events become more likely as the world warms (Hansen et al., 2012, Meehl and Tebaldi, 2004, Rahmstorf and Coumou, 2011). But can individuals, drawing upon their personal experience, accurately detect the extent to which recent conditions have changed relative to the past? It is therefore important to understand how people subjectively experience their local climate, and what factors influence their judgments about whether local climates are changing. Previous broad-scale survey research suggests that changes in local climate conditions can influence public perceptions of local warming trends (Howe et al., 2013). While there is some evidence that recent experience with short-term ambient temperatures may influence global warming beliefs (Akerlof et al., 2013, Borick and Rabe, 2010, Egan and Mullin, 2012, Goebbert et al., 2012, Hamilton and Stampone, 2013, Joireman et al., 2010, Li et al., 2011, Risen and Critcher, 2011), there has been little attention to the possibility that subjective experiences of local climate may also be influenced by pre-existing beliefs and attitudes about global warming, which could affect the ability to recognize local climate change.
Section snippets
Background
Research in communities around the world has documented many cases of people using personal experience to detect changes in their local climate; such changes include altered plant and animal phenology, new distributions of species, shorter or longer growing seasons, and the changing frequency of extreme weather events (Deressa et al., 2011, Orlove et al., 2000, Roncoli et al., 2002, Smit et al., 1997, Thomas et al., 2007, Tschakert et al., 2010, Weatherhead et al., 2010, West et al., 2008).
Methods
This study is based on data from a nationally representative survey of the United States in April and May 2011, conducted by Knowledge Networks using a probability-based online panel. Survey respondents were randomly sampled from a panel of over 50,000 members originally recruited using random-digit dialing and address-based sampling. To ensure that the panel is nationally representative, members without internet access receive a netbook and internet service. The survey was fielded from April
Descriptive survey results
Between 969 and 977 respondents in the contiguous U.S. completed each of the four seasonal climate items (Table 1). The majority of respondents reported that the previous winter had been colder than normal (58%) and brought more rain and snow than normal (59%). For the previous summer, the largest portion (43%) of respondents reported that the season had been warmer than normal, while nearly as many (42%) reported that the summer had been no different from normal. A similar number (47%)
Discussion
The results provide support for our first hypothesis that the spatial distribution of seasonal climate perceptions would coincide with the spatial distribution of temperature and precipitation anomalies. Spatial analysis of responses indicated that the distribution of seasonal climate perceptions was non-random, and analysis of local clusters found broad agreement between the patterns of seasonal climate perceptions and patterns of local climate anomalies. For instance, the extreme heat wave of
Conclusions
This study investigated how people perceive seasonal climate at the local scale and how beliefs about global warming may influence subjective experiences of local climate conditions. To address these questions, we compared judgments about two seasons in the U.S. that had opposite extremes in temperature and varying patterns of precipitation across much of the country. Although previous research shows that populations with livelihoods directly reliant on local weather are able to perceive and
Acknowledgements
This research was supported in part by the National Science Foundation (Doctoral Dissertation Research Improvement Grant 1102785) and the Association of American Geographers. Survey data collection was funded by the Surdna Foundation, the 11th Hour Project, and the Grantham Foundation for the Protection of the Environment. The authors acknowledge the contributions of Brent Yarnal, Karl Zimmerer, Janet Swim, Frank Hardisty, Connie Roser-Renouf, and Edward Maibach.
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