Katherine Nicole Canfield
Kate Mulvaney
Nathaniel Merrill- Atlantic Coastal Environmental Sciences Division, U.S. Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling, Narragansett, RI, United States
Building publics’ understanding about human-environmental causes and impacts of nutrient pollution is difficult due to the diverse sources and, at times, extended timescales of increasing inputs, consequences to ecosystems, and recovery after remediation. Communicating environmental problems with “slow impacts” has long been a challenge for scientists, public health officials, and science communicators, as the time delay for subsequent consequences to become evident dilutes the sense of urgency to act. Fortunately, scientific research and practice in the field of climate change communication has begun to identify best practices to address these challenges. Climate change demonstrates a delay between environmental stressor and impact, and recommended practices for climate change communication illustrate how to explain and motivate action around this complex environmental problem. Climate change communication research provides scientific understanding of how people evaluate risk and scientific information about climate change. We used a qualitative coding approach to review the science communication and climate change communication literature to identify approaches that could be used for nutrients and how they could be applied. Recognizing the differences between climate change and impacts of nutrient pollution, we also explore how environmental problems with delayed impacts demand nuanced strategies for effective communication and public engagement. Applying generalizable approaches to successfully communicate the slow impacts related to nutrient pollution across geographic contexts will help build publics’ understanding and urgency to act on comprehensive management of nutrient pollution, thereby increasing protection of coastal and marine environments.
Introduction
There is a large disparity between the scientific and public understanding of the consequences of nutrient pollution. Intentional engagement with localized publics on the significance of the problems created by nutrient pollution and the need for collective behavioral change is essential for achieving management goals. To date, national, regional, and local policies to manage nutrients are a start in translating science for public benefit, but current policies and public engagement do not match the scale of the nutrient pollution challenge. Given the scarcity of this engagement, there is a need for more effective science communication about nutrient pollution and its impacts. We use “nutrient communication” to refer to this needed increase in translation of science and engagement with publics to address nutrient pollution.
Nutrient pollution is increasingly understood in terms of ecological and social impacts, alongside the identification of sources and potential management actions. The primary nutrients of concern are reactive nitrogen and phosphorus. These nutrients occur naturally throughout the biosphere, but the levels of both have been increased significantly through various human activities to the point of polluting our environment. The fact that healthy ecosystems require these nutrients in certain quantities, but they become pollutants at higher levels, makes it difficult to determine and communicate the point at which these nutrients become pollutants (Nixon, 1993; Merrill et al., 2018). Additionally, the combination of point sources, such as concentrated animal feeding operations, and nonpoint sources, such as septic systems and fertilizer run-off from row-crop agriculture, make nutrient pollution difficult to manage. Nonpoint sources are the extensive inputs of nutrients without a single “point” of origin. This nonpoint nature makes nutrients more difficult to manage, as all the diffuse small sources must be managed among many individual actors, often without legal mandate, rather than addressing a singular potent polluting site (EPA, 2020b). The U.S. EPA (2020b) reports that nonpoint source pollution is the main remaining cause of impaired water quality. While addressing nutrient pollution across the range of sources and impaired waterbodies is important, this article focuses specifically on communicating the impacts of nonpoint source nutrient pollution on coastal water quality.
In most coastal waters, availability of reactive nitrogen is most important because it limits primary production more than phosphorus does (Howarth and Marino, 2006). Excess reactive nitrogen can cause heightened algal production and biomass, harmful algal blooms, accelerated coral reef decline (Zaneveld et al., 2016), seagrass loss due to shading, and degradation of fish and other aquatic communities due to low oxygen. Point sources of nutrients include wastewater treatment facilities, stormwater outfalls, and concentrated animal feeding operations (Carpenter et al., 1998). These sources are managed as identifiable “points” of nutrient input, with certain amounts of nutrient inputs permitted. Important nonpoint nitrogen inputs include septic systems (EPA, 1996), agricultural runoff (Van Meter et al., 2016) and atmospheric deposition (Carpenter et al., 1998). An added difficulty in nutrient management is that impacts may occur far downstream from sources, may take an extended period of time to fully manifest, and may persist long after sources have been eliminated (Van Meter et al., 2016; Merrill et al., 2020). Transit time for nutrients from sources to receiving waters can vary from hours to decades, in the latter case usually when transport via groundwater is involved (Van Meter et al., 2018). Additionally, even once reaching a larger waterbody, the impact of the nutrients on the ecology of the system takes time and can be cumulative (Verdonschot et al., 2013). In these cases of delayed impact, the nutrient levels in waterbodies and consequential eutrophication (Pérez-Ruzafa et al., 2019) can reflect nutrient inputs that preceded implementation of nutrient management, delaying recovery of ecosystem functioning (Carstensen et al., 2011). This legacy impact makes it difficult to understand effects of nutrient management interventions and to communicate the importance of such interventions. To address the challenges of aquatic nutrient pollution, research has found that the most effective management plans comprehensively address all nutrient sources (Gross and Hagy, 2017) and integrate multiple scales of decision makers (Greening and Elfring, 2002). Building such management plans requires effective communication to build publics’ awareness about the complexities of aquatic nutrient pollution.
Despite the difficulty (Boesch, 2006) and limited success in building awareness around nutrient pollution (Osmond et al., 2010; Greening et al., 2014; Perry et al., 2020), we argue that the extensive research in communicating climate change can provide insight into effective communication strategies that can motivate public action. Climate change and nutrient pollution have historically progressed slowly, resulting in “shifting baselines” (Pauly 1995) of system status. Originally used to refer to changing fish biomass (Pauly, 1995), shifting baselines for nutrients (Duarte et al., 2009) and climate (Moore et al., 2019) reflect that systems have changed such that the reference baseline level today is different than it was in the past. Additionally, climate change and nutrient drivers are similar in having both major point and nonpoint sources, while impacts are similar in being both localized and widespread. While impacts of nutrient pollution are generally localized, the larger scale of the Haber-Bosch process for industrial production of reactive nitrogen for agricultural use has lowered costs, enabling broader application and thereby expanded the spatial scale of nutrient pollution (Fowler et al., 2013). Higher availability and more widespread use of reactive nitrogen leads predictably to increased losses to surface waters. We argue that the similar challenges in communication for climate change and nutrient pollution of the slow impact, shifting baselines, and diversity of sources create an opportunity for nutrient communication to learn from climate change communication and apply best practices.
Along with the many similarities between nutrients and climate change, there are also notable differences. Although both are “slow” the timescale is meaningfully different for the two issues (Figure 1). With nutrients, the entire transition from pristine, to polluted, to recovered could potentially occur within a person’s lifetime (Pérez-Ruzafa et al., 2019). In contrast, many of climate change’s most severe impacts are occurring across generations and the possible time to recovery is unknowable. A further difference is that nutrients generally result in more localized impacts in coastal waterbodies and climate change has less bounded environmental consequences. An additional relevant difference is that there has been extensive interdisciplinary effort to mobilize publics around the globe to act against climate change. We present these examples here to clarify that lessons from climate change are applicable, with tailoring to the nuanced differences of these stressors.
FIGURE 1. Venn Diagram of similarities and differences between environmental issues of nutrient pollution and climate change.
In this paper we respond to the current lack of scientific research on effective science communication on nutrients and management and address the need for researched recommended communication practices. We explain how climate change communication applies lessons of effective science communication within the difficult bounds of motivating action to respond to slow impacts. We then present our analytical approach, which uses qualitatively coding of peer-reviewed and grey literature. In the results section we discuss the findings of our literature review of climate change communication and the ways nutrients science communication may differ from climate change communication in its barriers to effective practice. We then present the best practices drawn from climate change communication that arose as themes from this literature review and integrate applications to nutrient communication in coastal environments. We rely heavily on climate change communication throughout because there is minimal research (Boesch et al., 2001; Boesch, 2006; Osmond et al., 2010; Perry et al., 2020; Reddy et al., 2020) on best practices for nutrient communication. We conclude by reiterating key points about the value of connecting these environmental communication topics that are salient for nutrient scientists and communicators.
Literature Review
The “science of science communication” refers to the study of the state of science communication and public engagement with science (Fischhoff and Scheufele, 2013). Among other areas of research, past science communication work includes how various social identities are or are not actively included in various science learning environments (Dawson, 2014; Massarani and Merzagora, 2014; Streicher et al., 2014; Canfield et al., 2020), efforts at broadening participation in science (Bevan et al., 2018), ways of knowing in science (Eveland and Cooper, 2013; Medin and Bang, 2014), analyzing how various publics process scientific information and apply it to decisions (Dilling and Lemos, 2011; von Winterfeldt, 2013), assessing the structural limitations to scientists producing useful communications (Anderegg, 2010; Scheufele, 2013), and climate change communication (van der Linden et al., 2015; additional sources below).
As an introduction to the critical approach of the science of science communication, we present potential misconceptions in use of the phrase “public understanding of science.” An initial nuance of communicating science is that rather than there being a monolithic “public” with a shared understanding of science, there are instead a variety of publics. These publics have differing education, experiences, and beliefs that lead to different understandings of science (Kisiel and Anderson, 2010). As an example, the terminology, objectives, and assumptions associated with the knowledge needed to communicate with an audience of elementary school children are different than for a room full of policymakers (Burks and Menezes, 2018).
This conceptualization of “public understanding of science” reveals a rhetorical distance between scientists and non-scientists that complicates building a community or societal understanding of science outside of research institutions. The widely debunked “deficit model” (Wynne, 1992; Nerlich et al., 2010) refers to a one-way transfer of knowledge from experts to lay people, which assumes people who are not in traditional scientific research roles have no scientific understanding, just beliefs based on experiences (Wynne, 1992). This model exemplifies a false dichotomy in scientific understanding. Scholars of the science of science communication point out there are both formal and informal ways people know and are exposed to science (Stocklmayer et al., 2010), including formal education (DeBoer, 2000), informal learning (Reich et al., 2010; Dawson, 2019), and traditional and indigenous ways of knowing (Johnson et al., 2014; Lemus et al., 2014). Differing ways of knowing and beliefs (e.g., political affiliation and religion) result in differential trust in scientific research, especially as related to climate change (Brossard and Scheufele, 2013; Eveland and Cooper, 2013; Wang et al., 2018). Notably, distrust in science also arises based on identity, especially social constructions of race, due to historic and continued exploitation (e.g. HeLa cells and the Tuskegee Study) of people with marginalized identities (Suite et al., 2007; Scharff et al., 2010). How information is accessed and assimilated leads to various communities of understanding and acceptance of science that are the product of more, or less, effective science communication efforts in conversation with historic injustices, social norms, and individual values. With the case of climate change, we present some theories of how these communities of understanding develop, and we describe efforts to conduct science communication that positively impact publics’ understanding.
One of the largest subfields within the field of the science of science communication is specifically focused on climate change communication. This subfield investigates how people process and apply the science of climate change in their daily lives and how communicators can design communications that motivate communal action on climate change. Several failed attempts to communicate and motivate action around climate change have led to extensive research to understand why this specific area of science communication is so difficult. Two important difficulties are 1) conveying the risks associated with a changing climate to people with different ways of thinking and 2) explaining the urgency of action, which we focus on in our results.
Methods
In order to identify key themes for communication, we used qualitative coding of peer-reviewed literature. Papers were collated based on the topics of the science of science communication, public engagement with and communication about climate change, and to a lesser degree nutrient science and communication. Papers were identified using Google Scholar, searching keywords and keyword phrases (Mase and Prokopy, 2014). The keyword phrases included “science of science communication,” “climate change communication,” “public engagement with science,” “recommended practices” + “climate change communication,” and “psychology of climate change communication.” Google Scholar was used rather than a specialized academic database due to the interdisciplinarity of the topics of interest and Google Scholar’s ability to support a more inclusive search of relevant scholarly work. Google Scholar has been identified as the most comprehensive academic search engine (Gusenbauer, 2019), and has addressed past concerns over transparency and vetting of articles as the search tool has matured (Halevi et al., 2017; Martín-Martín et al., 2018). When our selected keyword phrases were searched in Web of Science, only climate change communication produced similar results. During review of those papers identified from the initial search, additional relevant papers were identified from the literature cited and were also coded. A keyword search to identify relevant articles on nutrient communication included searching “nutrient communication,” eutrophication + communication, nutrients + communication, and “science communication” + “nutrients,” with only five relevant articles discussing communicating about nutrients (Boesch et al., 2001; Boesch, 2006; Osmond et al., 2010; Perry et al., 2020; Reddy et al., 2020). Articles that took an applied social science approach that presented the state of understanding of the fields and research-informed recommended approaches to science communication, climate change communication, and nutrient communication were included from these searches. Based on the articles identified from keyword searches, a total of 66 articles were coded (see supplementary materials for citations), with additional articles reviewed but not coded when found to be irrelevant.
Qualitative coding is a method that can be applied in multiple ways (Elliott, 2018). The method allows for sifting through dense data such as text or interviews (Creswell, 2015). It can be applied using a systematic approach (Khan et al., 2003), and can also be used to identify emergent themes inductively (Mase and Prokopy, 2014). We used the NVivo 12 qualitative analysis software to inductively identify codes in the selected papers. Emergent themes were identified based on the analytical focus of recommended practices for effectively communicating science, and specifically communicating climate change, leading to nested codes including best practices for science and climate change communication, and academic limitations to effective communication. One researcher was responsible for all coding to ensure reliable and consistent identification and application of codes across papers. A total of 70 codes were identified using a tiered system wherein the first-level category was more general, and within this first tier was a second tier of the related codes that were more pointed or conceptual aspects within the general category (Creswell, 2013; Elliott, 2018). For example, a first tier (relatively general) category was “public risk assessment” in which general comments on public risk assessment were coded. The second-tier codes within this category specify different analyses and topics that affect how publics assess risk as relevant to science: climate change, cultural cognition thesis, emotion, uncertainty, valuation and values, visibility (Figure 2). Recommended practices for climate change communication and nutrient communication were chosen based on the codes that were consistently identified across the literature as best or recommended practice.
FIGURE 2. Screenshot of NVivo 12 showing coded articles related to public risk assessment. Public risk assessment is the first tier category, and those listed below it were the codes identified as existing within the larger category.
Results
Effective science communication for reducing nutrient pollution is important, but best practices remain greatly understudied, with only five papers found that review nutrient communications. The review of the much broader literature on science and climate change communication therefore provides lessons on the theory and use of science communication for climate change that can then be applied to communicating nutrient pollution. First, we present the findings related to the theory of how people think about climate change and what makes it difficult to convey the urgency to act, followed by explanation of the differences between nutrient and climate change communication. We then describe our thematic findings on the effective practices of climate change communication and their application to nutrients.
How People Think About Climate Change
Explaining the risks of climate change demands appealing to the different ways people assimilate scientific information through their mental models (Bruine de Bruin and Bostrom, 2013). Mental models refer to how people reconcile scientific information with their beliefs (Einsiedel, 1994; Scheufele, 2013). Mental models are constructed from values that are the sum of lived experiences, education, and beliefs that become tacitly accepted knowledge frames for decision making, risk assessment, and evaluation of scientific information (Fischhoff and Scheufele, 2013). These models have been found to be particularly helpful in predicting people’s behavior in relation to environmental issues, such as climate change, that allow them to dissociate their implication in the problem (Paolisso, 2011). Many people have mental models that allow for accurate interpretation of scientific information (Fischhoff and Scheufele, 2013). These models may have critical gaps in scientific understanding of environmental issues such as climate change, however, due to communication failures such as lack of appeal to emotion and effort to convey complex science (Fischhoff and Scheufele, 2013).
Mental models incorporate two information processing systems: the emotional and the analytical (Slovic et al., 2004; Marx et al., 2007; Roeser, 2012). The emotional system is based on experiences and responds quickly, whereas the analytical system is more deliberate and based on understanding (Marx et al., 2007; van der Linden, 2015). While both of these systems are always used in decision making, some scientists argue that the role analytical processing plays in assessing climate change risk has been overestimated, ignoring the role that emotions play (Slovic et al., 2004; Marx et al., 2007). The role of emotion in risk assessment is known as the “affect heuristic,” or “risk as feeling” (Alhakami and Slovic, 1994; Loewenstein et al., 2001; Leiserowitz, 2006; Roeser, 2012). Slovic et al. (2004) and Marx et al. (2007) argue for increased appeal to risk as feeling, such as personal experience, to address a general underassessment of risk relative to that identified by scientific research. Appealing to emotions provides an alternative to presenting complex climate models and statistics that do not align with people’s existing mental models and may therefore not be accepted or understood (Marx et al., 2007; Fischhoff and Scheufele, 2013). This appeal to the effectiveness of emotion for communication emphasizes that science communication, and specifically (climate) risk communication is not just about accurate science, but the way that science is conveyed to different publics (Hertwig et al., 2004; Weber et al., 2004).
In agriculture, mental models have been used to understand the varied values of farmers and how they make decisions (Eckert and Bell, 2005; Prager and Curfs, 2016). This research helps scholars understanding farming choices (Eckert and Bell, 2005; van Hulst et al., 2020), and can be informative for extension educators (Eckert and Bell, 2005) and policymakers (Prager and Curfs, 2016). To date, this work appears to have not focused on nutrient management or pollution, nor specifically on the communication implications, as reflected by the lack of articles on nutrients and mental models in our literature search.
The cultural cognition thesis supposes that belonging to religious, political, or other social groups can explain the different ways people process information (Kahan et al., 2011; Kahan, 2015) and, like mental models, provides an explanation for how social group membership can impact risk assessment. The argument behind cultural cognition is that people are “cognitive misers” and tend to minimize the amount of thinking they have to do that complicates their existing beliefs, and thus rely on their cultural beliefs to simplify processing of new information (DiMaggio, 1997; Eveland and Cooper, 2013). With this desire to minimize processing of excess information, the thesis explains that people more willingly accept information that aligns with their group affinities rather than considering all information presented as having equal potential to be true. In the case of climate change in the United States, Kahan (2015) found that political affiliation predicts acceptance of climate change as scientific fact better than education level. Cultural cognition explains that belonging to a certain religious (Nisbet and Scheufele, 2009; Kahan, 2015) or political groups (Gauchat, 2012) is associated with amount of trust in science, which affects beliefs about climate change. To avoid overstating the power of this thesis to fully explain multidimensional social issues, we note that political ideology is but one characteristic of an individual, and that work on cultural cognition has been focused largely around the case of differing American views on controversial societal issues (van der Linden, 2016). Thus, we acknowledge that this thesis is a useful example of how group membership impacts interpretation of contentious scientific and societal issues within the U.S. context, but should be carefully applied in other circumstances.
Conveying Urgency to Act
One climate concept that demands better communication is the urgency of action around climate change (Leiserowitz, 2005; Lorenzoni and Pidgeon, 2006). Compared to the 2014 assessment, the 2018 National Climate Assessment shows increased action among businesses, communities, and governments to reduce the risks of climate change, although current actions were not found to address the full risks of climate change (USGCRP, 2018). The insufficiency of current actions points to the continued gap between the statistical risk of climate change and interpretation of that risk relative to other factors considered by community leaders and decision-makers. Researchers have identified the perceived “remoteness” (Hoijer, 2010) and abstraction of climate change (Leiserowitz, 2005; Spence et al., 2012; Nurmis, 2016; Wang et al., 2018), along with reliance on analytics and statistics (Marx et al., 2007) in communications as causes of such a disconnect between statistical and perceived risk. Whereas the general population does not perceive imminent risk due to climate change, perception of risk increases when the consequences are visible, immediate, and nearby. This difference has been highlighted in 2020, as publics contrasted how the urgency with which the media presented the crisis of, and potential solutions to, the COVID-19 pandemic and the lower urgency associated with climate change, which has made it much less prominent in the major news cycle (Peters, 2020; Regan, 2020; Roth, 2020). Further confusing the perceived sense of urgency around climate change is misinformation on the scientific consensus behind climate change (Cook, 2019), which encourages a dismissal of the threat.
The distancing of oneself from climate change aligns with the understanding that humans tend to prefer immediate over future benefits (Maibach et al., 2008) and, similarly, deferred expenses over immediate sacrifices (Meyer, 2013). Since the benefits of acting on climate change often are at a scale that is difficult for humans to comprehend, there is a lack of motivation to understand the risk or act with urgency. Another potential explanation for the lack of extensive perceived risk of climate change is deemed the “finite pool of worry” (Linville and Fischer, 1991; Madhavan, 2011). As people become more concerned about one given risk, their concern for other risks decreases (Hansen et al., 2004; Marx et al., 2007). For example, when the concerns of Argentinian farmers increased in relation to climate change, their concern about local politics decreased, even though the political dynamics in the community had not changed (Linville and Fischer, 1991). Taken together, abstraction of climate change, a finite pool of worry, and people’s mental models provide a psychological explanation of why climate change risk is rarely acted on, or addressed by, publics at a scale commensurate with the projected impacts.
Social marketing is one approach that has been touted as having great potential to create an urgency to act. Social marketing refers to the systematic use of marketing techniques over the long-term to achieve specific behavioral goals for social good (Lazer and Kelley, 1973). This differs from other kinds of marketing where changing behavior for commercial reasons is the goal (Wiebe, 1952; Maibach et al., 2008). The social marketing approach has become renowned as an effective strategy to go beyond the “pamphlet approach” of providing people information on a subject (Corner and Randall, 2011:1007), and focuses on creating long-term change in specific publics’ behaviors for social good (Fox and Kotler, 1980; Peattie and Peattie, 2009). Building an effective campaign relies on researching consumers values and segmenting the audience of the campaign based on these values to create efforts targeted to different values. A review of ocean sustainability social marketing campaigns found that preliminary research on audience knowledge, identities, and values is essential to achieving the desired campaign outcome and understanding campaign leaders’ choices (Bates, 2010).
Critiques of social marketing as a strategy for climate change communication and engagement point out that these efforts are largely aimed at changing individuals’ behaviors rather than creating community-level, policy, or systemic shifts in practice (Maibach et al., 2008; Corner and Randall, 2011). Additionally, while it has proven advantageous to tailor messaging on behavior change towards the specific intrinsic values of a group (or a specific mental model) (Bolderdijk et al., 2013; van der Linden, 2015), such efforts are not worthwhile if promotion interferes with pursuing the longer-term goal (Corner and Randall, 2011; Corner et al., 2014). In the case of climate change, the larger goal of a societal commitment of addressing fossil fuel emissions requires people to adopt behaviors in line with self-transcendent and pro-environmental values and conservation. However, these goals are incongruent with an audience segment of a social marketing campaign known to have highly materialistic values. Highlighting the monetary benefits of energy efficient light bulbs may appeal to this segment’s self-enhancement values. Ignoring the centrality of environmental sustainability in catering this message, however, will lead to a failure to achieve the larger behavioral change towards conservation-minded and sustainable consumption (Deci et al., 1999). Additionally, one principle of social marketing is the “exchange” of the benefit and cost of behavior change (National Social Marketing Centre, 2006; Corner and Randall, 2011). If the exchange requires an incentive to motivate a behavior change that is contrary to a person’s beliefs, research has found that as soon as the incentive is removed, individuals revert to past practices (Crompton, 2010; Corner and Randall, 2011; Corner et al., 2014). One of the few articles that mentioned effective communication on nutrients noted that incentives need to be associated with education and regulations to create lasting behavior change (Osmond et al., 2010). A final critique notes that communication approaches that “sell” issues to promote public engagement foster caution and cynicism rather than community support (Walls et al., 2005; Doubleday, 2007; Corner and Randall, 2011). Evidence shows that when it comes to publics with pro-environmental values, social marketing promotes positive behavior changes, suggesting how key these values are in behavior change and scientific communication (Maibach et al., 2008; Corner and Randall, 2011). Thus, using social marketing along with other tools from the climate change communication strategy toolbox can help balance the associated benefits and risks.
Differences Between Climate Change and Nutrient Communication
As demonstrated above, climate change communication has an extensive library of scholarship. Contrarily, five articles were identified as discussing nutrient communication, which presented important lessons learned (Boesch, 2006; Osmond et al., 2010; Boesch, 2019; Perry et al., 2020). Three of these focused on evidence-backed recommendations for communication moving forward (Osmond et al., 2010; Perry et al. 2020; Reddy et al., 2020). Significant space remains for building a more expansive body of literature of evidence-backed practices for nutrient communication. Until then, finding connections to existing bodies of literature can provide valuable support to inform nutrient communication practices.
While there are many similarities in communicating about climate change and nutrient pollution, there are also important differences to be aware of in comparing communication approaches. As already highlighted, the “slowness” of the impacts of climate change and nutrient pollution occur across different timescales. This requires adjusting communications to reflect that climate change impacts are largely intergenerational while nutrient pollution impacts are felt within a generation. Failure to make such adjustment in conveying the impacts of nutrient pollution would inaccurately represent the issue, response rate of the system, and potentially further confuse recipients of such communication. Additional differences we identified were the spatial scale of the environmental challenge, the end goal of publics’ engagement, and the politicization of the challenge in the United States. In addressing these differences, we reiterate the call to adjust the approach as the context changes.
The context of addressing climate change is different than nutrient pollution given the scale of climate change is explicitly global while nutrient pollution impacts are often relatively local in scale. Climate change does have localized impacts, such as coastal flooding from rising sea levels, but these impacts are the result of both local climate change preparedness and global scale management of climate due to the connected nature of the system. Compared to climate change, nutrient pollution results from more localized actions and management (i.e., watershed scale). As a result, its consequences are experienced most directly by humans in the watershed, noting that major rivers can also cross political boundaries and impact downstream users separated from sources, and atmospheric nitrogen pollution is usually regional or national. While those communicating climate change and nutrient pollution need to localize the issue to the scale of the system, the spatial disconnect is often not as extreme for nutrients. This makes localizing the cause and effect for relevant publics more straightforward, as the problem is generally most effectively managed at the local watershed scale (Gross and Hagy, 2017). With climate change, communicators are challenged with identifying relevant local impacts or proxies of a global issue that will be meaningful to the various communities that they work to mobilize (Linville and Fischer, 1991; Marx et al., 2007). As communicators are contending with an issue with both point and nonpoint sources, they must overcome the ease with which people can distance themselves from localized contributions, and the challenge of whose responsibility it is to manage the problem.
Nutrient pollution also differs from climate change in the end goal of public engagement. With climate change, the goal is often to mitigate impacts, adapt to new environments, and build resilient societies rather than to return to a historic environment. In nutrient management, the goal is often to recover the functioning of ecosystems, lakes, or estuaries (Duarte et al., 2009; Verdonschot et al., 2013; Gross and Hagy, 2017). This recovery is often to a different state than the system before becoming polluted (Duarte et al., 2009), but still is a restoration of or return to (Duarte et al., 2015) a functioning system (Carstensen et al., 2011; Pérez-Ruzafa et al., 2019). The full removal of nutrients from a system is not always possible (Palumbi et al., 2008), and past work has called for the need to have realistic goals in nutrient management (Weinstein, 2008). However, the possibility of such restoration of ecosystem functions provides a visually compelling message to motivate publics’ participation in calls for management. Significant improvements in ecosystem functioning are possible within five years of addressing point source pollution (Taylor, 2006), though full recovery in managing larger nonpoint source nutrients takes longer (Lefcheck et al., 2018). While recovery in nutrient pollution cases, such as when nutrient flows have been reduced quickly with sewage treatment plants (Taylor, 2006; Greening et al., 2014), has been observed, rapid shutoff of greenhouse gas emissions to know what recovery from climate change could look like has not been done.
Another difference impacting public engagement is the different severity of risks posed for these two environmental challenges. Nutrient pollution presents important concerns of impaired water quality and in most cases incremental loss of benefits from coastal ecosystems. In contrast, climate change presents impacts that may be extremely severe and have the potential to profoundly change human society. Climate change requires localizing and concretizing an issue that has potential impacts that are yet to be fully realized, whereas eutrophication from nutrient pollution has numerous examples to which communicators can point (Nixon, 1995; Paerl, 1997). The relatively well-defined impacts of nutrient pollution are at a significantly different scale, and are usually less hazardous, compared to the wide-sweeping impacts anticipated from climate change (IPCC, 2014).
Finally, the politicization of climate change in the United States makes communication more difficult than that on nutrients. This necessitates a highly nuanced practice in communicating climate change to people whose political beliefs have become increasingly associated with disbelief in the phenomenon (Anderegg, 2010; Kahan et al., 2012) or those dismissive of critiques of climate science (Van Rensburg and Head, 2017). Nutrients are not free of politicization. During in the 1960s and 1970s the link between phosphates in detergents and water pollution, especially around the Great Lakes was highly politicized. Environmentalists and residents mobilized to call for government action to address water quality. While they were at first at odds with politicians and businesses that claimed detergent companies could self-manage, eventually phosphates were banned from detergents (Kehoe, 1992). While still not an apolitical issue today, nutrient management does not currently face the same national political polarization as climate change and other issues such as genetically modified foods and stem cell research (Kahan, 2015; Kahan et al., 2015). This could be because while there are whole centers focused on identifying how people think about and communicate climate change in the United States (Maibach et al., 2009), centers explicitly focused on understanding how people think about nutrient pollution and science are lacking. While nutrient pollution communicators and scientists may still currently face issues with distrust in science (Bauer, 2006; Scheufele, 2013), they do not have to overcome mass media disproportionally presenting conflicting views (Eveland and Cooper, 2013; Petersen et al., 2019) of the causes and impacts of excess nutrients.
One notable shared difficulty in communicating nutrient pollution and climate change is the lack of clarity in the messaging distinguishing between the overall processes and individual consequences of these challenges. The changing framing within research areas and between disciplines creates different vocabularies to describe issues with the same, or extremely similar sources (see Table 1 for some examples). This creates muddled messages for publics not versed in connecting the processes of climate change or excess nutrients with their consequences. For example, in the literature, climate change is consistently used to refer to the societal scale, abstract result of increased greenhouse gas pollution, while some speak specifically about sea level rise and others create a distinct discourse about ocean acidification. With nutrients, the framing is often nutrient pollution, but terminology of excess nutrients, or the impacts of harmful algal blooms and eutrophication are also used to refer to the same problem. When choosing terminology, communicators need to present clear messaging of which terms describe the environmental processes, impacts, and their relationships to improve message effectiveness. Additionally, the framing of the terms eutrophication, algal blooms, climate change, and sea level rise is all based on the impacts of nutrients and greenhouse gas pollution rather than on the sources or inputs. This provides another way for people to distance themselves from their responsibility in contributing to these challenges. Addressing these variations in framing consequences of environmental processes within the community of scientists working on issues related to climate change and nutrient pollution could streamline communication and build collaborative networks of scientists (Anila, 2017). Building a more explicitly defined and agreed upon vocabulary of terms within fields would also make the science more accessible to publics outside of these disciplines, as it would demand scientists clearly define the meanings and bounds of the terms they use.
TABLE 1. Different terminology used in framing environmental challenges around either the source or the outcome, with a couple of papers as examples of each. Note that these citations often used more than one of the terms in their issue category.
Key Themes of Climate Change Communication Practices for Application to Nutrients Communication
The key findings related to practice of climate change communication fit under the themes of the importance of training and the importance of framing. Training refers to preparing scientists and communicators to share their messages or motivate publics. The theme of framing contains topics and analyses on the content and approach for sharing climate change messages with diverse publics. Together, these themes identify both the past shortcomings in climate change communication and recommended approaches for increasing publics’ awareness and action to address climate change.
Training
Scientific researchers may struggle to produce science communication materials that are useful for their intended audience or users due to a lack of training in, or anticipated reward for, production of such materials (Jacobson et al., 2004; Nisbet and Scheufele, 2009). Some scientists may not know who the relevant or target audience of their work is, due to a belief that science is for knowledge production alone (Dilling and Lemos, 2011) or due to a lack of training and subsequent experience in the identification of relevant users of their science and their needs (Fischhoff and Scheufele, 2013; Nerlich et al., 2010; von Winterfeldt, 2013). An inability to identify end users can result in a tendency to focus communications on what researchers find interesting and important (Bruine de Bruin and Bostrom, 2013; Scheufele, 2013). Not tailoring information for use by publics other than scientists can result in available science being largely comprehensible and accessible for other researchers in a similar research area (Marx et al., 2007; Dilling and Lemos, 2011; Bruine de Bruin and Bostrom, 2013; Scheufele, 2013). Others may want to use science to influence policy, but lack understanding of how to do so (Hetherington and Phillips, 2020). While it is too simplistic to claim that scientists are totally responsible for all scientific communication, the science of science communication emphasizes the need to break down the strict boundaries of categorizing people as scientists or nonscientists in order to produce more useful science communication products.
Lack of training in science communication (Anderegg, 2010; Dilling and Lemos, 2011; Fischhoff and Scheufele, 2013; Scheufele, 2013) highlights whether academic research systems are designed to prioritize effective science communication by researchers (Jacobson et al., 2004), or if that is even a researcher’s role. In the case of universities with extension offices, researchers argue these offices are to serve as information brokers that translate and communicate science to relevant stakeholders (Prokopy et al., 2015). Alternatively, researchers might work with nongovernmental organizations or news media to produce science communication products (Boesch, 2019). However, this still assumes that scientists have the intrinsic motivation, time, and/or skills to work closely with people outside of academia to produce materials for publics outside of their area of expertise. This is not a critique of scientists’ values, but rather a questioning of whether research systems as designed have provided the support for researchers to do science communication beyond academic conferences and papers. The lack of academic rewards for engaging with publics on science (Anderegg, 2010; Dilling and Lemos, 2011; Singh et al., 2014) might explain why researchers may not claim ownership of the task of communicating their science (Dilling and Lemos, 2011). The literature reveals that within the theme of training, there are subthemes, including lack of preparation of scientists in communication, the understanding that scientists are not necessarily science communicators, and a lack of professional recognition for communication work.
Framing
Framing arose as a theme based on the consistent emphasis across the literature on building messages that are designed for the various ways people assimilate and apply scientific knowledge (Scheufele, 2013). The five topics that emerged as essential for framing are:
1. concrete vs. abstract examples (Marx et al., 2007; van der Linden et al., 2015).
2. mental models (Nerlich et al., 2010; Dilling and Lemos, 2011; Bruine de Bruin and Bostrom, 2013).
3. imagery (Corner et al. 2014; Nerlich and Jaspal, 2014; Metag et al., 2016; Eskjær, 2017; Wang et al., 2018).
4. positive vs. negative messaging (Nerlich et al., 2010; Gifford and Comeau, 2011), and
5. social norms (Corner and Randall, 2011; Gifford and Comeau, 2011; van der Linden et al., 2015; Wang et al., 2018).
Both designing messages with a focus on the concrete rather than abstract and being aware of peoples’ mental models were discussed across the other three topics. Concrete examples based on real weather events (Marx et al., 2007; Bloodhart et al., 2015) and localized experiences (Nicholson-Cole, 2005; Wang et al., 2018; Monroe et al., 2019) have been found to mobilize communities more than relying on abstract ideas or projected models of extreme weather or esoteric statistics (Marx et al., 2007).
Regarding imagery, the literature noted that there is a persistent abstraction in much climate change imagery (Wang et al., 2018). The image of the polar bear, which has become associated with climate change (Doyle, 2007; Leviston et al., 2014; Swim and Bloodhart, 2014), is an abstraction because most humans never interact with a wild polar bear. Other examples of abstractions include use of politicians (Rebich-Hespanha et al., 2014), public figures and protestors (Smith and Joffe, 2009; O’Neill and Smith, 2013), and scientists (Leon and Erviti, 2013). Non-abstract images of climate change could include narratives that outline the impacts of climate change on “ordinary” humans or other stories including humans (Corner et al., 2015) and emotion (Marx et al., 2007; Meldrum et al., 2012) in visualizations. Such visualizations have been found to reduce the psychological distance perceived with climate change (Swim and Bloodhart, 2014; Wang et al., 2018). Specifically, appealing to positive emotions rather than fear has been an important topic in framing climate change messages and imagery (Leviston et al., 2014). Apocalyptic visualizations of climate futures may aim to stand out against the imagery of daily life (O’Neill and Nicholson-Cole, 2009) but instead serve to further distance people from the desired engagement (O’Neill and Nicholson-Cole, 2009; O’Neill and Smith, 2013). As was previously noted, people have a finite capacity for worry at any given time (Linville and Fischer, 1991; Madhavan, 2011). Evidence suggests that to mobilize people around climate change, appealing to motivation is more effective than stoking fear and calling for sacrifice (Nerlich et al., 2010; Gifford and Comeau, 2011).
Activating social norms is another topic relevant to framing and mental models. Activating social norms involves framing climate change as a “social reality” that affects people’s ways of living (Rowson, 2013; Corner and Clarke, 2016; Pearson et al., 2016; Wang et al., 2018). As people are social beings, if family and friends begin to talk about climate change and mobilize to address climate change, individuals will increase their perception of risk and actions to minimize the risk (Renn, 2010; van der Linden, 2014). Rather than trying to frame messages to shift behavior at an individual scale, appealing to social norms activates and leverages community behavior to create larger-scale mobilization to address climate change (Corner and Randall, 2011; Gifford and Comeau, 2011; van der Linden et al., 2015; Wang et al., 2018).
While adjusting climate change frames did not predict behavior regarding a specific farming intervention (Singh et al., 2020), intentional climate change framing effectively increased support for climate policy (Walker et al., 2018). Acknowledging the role of climate change in natural disasters can have negative effects on the processing of scientific facts for climate change skeptics (Dixon et al., 2019), pointing to the importance of considering the mental models the audience in preparing climate change communications. Though these examples do not argue in favor of one specific method of framing, together, these studies exemplify that the actors and audiences to which information is communicated foundationally affect the effectiveness of a message (Reddy et al., 2020). The recommended practices based on these themes that follow emphasize the importance of context in communication.
Recommended Practices
Our literature review and qualitative coding analysis identified five recommended practices for climate change communication that would also apply to nutrient pollution communication:
1. prioritize two-way communication between publics and communicators,
2. relate to human experience rather than abstract analysis,
3. emphasize local impacts and immediate actions to be taken,
4. define and activate social norms around the problem and urgency of action, and
5. build interdisciplinary collaborations to address science communication training and reward gaps.
Addressing climate change and nutrient pollution with similar communication strategies relies on the similar ease with which publics psychologically distance themselves from their role as causal agents and associated slow and spatially distant impacts. While the principles are transferable, the differences noted above in these challenges necessitate tailoring the principles to the specifics of each stressor and/or situation. Despite the differences between nutrient pollution and climate change, there are similarities in the difficulties of past communication efforts that allow us to learn from scholars of climate change communication. While both the temporal and the spatial disconnect may not be as great for nutrients as with climate change, the shared slow impacts make lessons from climate change communications useful in building motivated publics across sectors to tackle this environmental problem. The five recommended practices for climate change provide an evidence-based starting point to improve communications on nutrient pollution, which we demonstrate with example applications of each of these practices. These examples focus on building publics’ understanding of how nutrients enter and pollute water bodies and actions that communities and individuals can take to reduce nutrient loading.
In all science communication, materials that allow give and take among the audience and those preparing such materials ensures that the right questions are answered (Moser, 2010; Dilling and Lemos, 2011; Corner et al., 2014) and that local knowledge and context is addressed (Collins and Evans, 2007; Nerlich et al., 2010). This first practice for climate change communication aims to ensure the science that is shared is relevant and useful to the intended audience (Bruine de Bruin and Bostrom, 2013; Fischhoff and Scheufele, 2013). The need to prioritize two-way communication builds on the shortcomings and failed efforts documented in the climate change communication literature. Recommended practices 2 through 4 further emphasize the need to include local implications of climate change in communications. These three practices reduce the psychological distance of the response (Swim and Bloodhart, 2014; van der Linden et al., 2015; Wang et al., 2018).
In practice, two-way communication on nutrients can include holding public hearings and other forms of consistent meetings on policy and planned management strategies that allow for public comment, that is then meaningfully incorporated into planning documents. Implementing two-way communication requires recognizing the varied priorities and ways of assimilating scientific information that exist across residents, policymakers, scientists, environmental activists, and other groups of people to ensure communications respond to groups’ values and needs. Further, consistent interaction with people across the various publics via meetings (in-person or virtual) will ensure that management strategies address the needs of local residents and incorporate the historical knowledge residents have of their communities. To be most inclusive, this communication will need to recognize the expertise that comes from lived experiences as well as that from formal education or official status (Ottinger, 2013). Recognizing lived expertise minimizes the risk of a deficit approach of “talking at” (Lewenstein, 2003; Smallman, 2016) or “selling” (Corner and Randall, 2011) nutrient science to publics, so that communicators instead engage in a constructive dialogue (Nisbet and Scheufele, 2009; Smallman, 2016; Monroe et al., 2019).
Explaining the science in relation to ecosystem services and activities that people are familiar with is helpful to reduce the psychological detachment of nutrient management. This is applicable both to recommended practices 2 and 3. Addressing the local slow impacts and spatial disconnect between inputs of nutrients and their impacts requires finding frames for communications that will motivate engagement. Framing the issue considering something important to local identity, such as beach access in coastal towns or the importance of productive farming in agricultural areas, is one transferable tool to concretize the challenge (Mexico Hypoxia Assessment, 2017). Local residents that define themselves based on where they live will most readily accept an appeal to the value of the environment and natural resources to motivate action (Madhavan, 2011).
One example of making nutrient management less abstract is preparation of an infographic that describes the impacts of nutrient pollution on beach and water quality and beach access and closures. In conjunction with an infographic explaining the science and impacts, localizing the actions that can be taken at the individual, town, county, and state scale to mitigate impacts is also important (Greening and Elfring, 2002). Social marketing could be a useful tool in framing the need to build support for these communal actions that protect natural resources for the good of the local economy and environment among those who already display passion for conservation. However, the power of social marketing and message framing to change conservation behaviors should not be overstated. A recent study on nutrient communication strategies found that in the case of farmers not already engaging in conservation behaviors, message framing towards economic and environmental values was less effective at encouraging conservation than just presenting information on the practice (Reddy et al., 2020). Based on the past work on climate change communicators (Marx et al., 2007) and effective nutrient management (Gross and Hagy, 2017), localizing the problem and benefits is essential to community participation.
To create urgency to change behaviors in a lasting way to address nutrient pollution in coastal waters, the relevant social groups that need to be engaged are likely at both the neighborhood and watershed scale. This is in accordance with the literature arguing for mobilizing publics via social norms rather than targeting individuals. These publics include both people who live in these communities and contribute to the nonpoint nutrient loading and those decision makers responsible for the waterbody. Research has found that targeting normative beliefs, that is, what people believe about the behavior of others, is effective for creating behavior change (Maibach et al., 2008; Paolisso, 2011). This suggests that appealing to a community sense of pride in a less impacted environment, regarding nutrients at least, can be effective for mobilizing resident publics. One application of this could consist of informing residents of the severity of water quality impairments to a watershed, and then building campaigns focused on mobilizing the community at different scales to protect the watershed. It is essential to build and appeal to a shared sense of community up to the watershed scale to ensure communal mobilization to address shared problems at a scale that will have a meaningful impact for the impacted waterbody (Boesch, 2006; Merrill et al., 2018). As people within these communities will likely have slightly different mental models, mobilizing around a shared identity will build a sense of connection and responsibility to protect their community. As a past nutrient communication effort found, increasing understanding of the issue alone has not proven effective in overall nutrient reduction; policy and clear actions at multiple scales are needed to encourage actions with urgency (Boesch et al., 2001; Greening and Elfring, 2002; Boesch, 2006; Osmond et al., 2010).
This brings attention to the important point that while behavior change is an important component of nutrient management, it is the responsibility of coordinated efforts across local, regional, and national government agencies to institute plans and policies for nutrient management (Greening and Elfring, 2002). Past work has emphasized the connection between communication and management. One study found that the most common community motivator to call for nutrient management was when publics became aware of an ecological crisis, media attention further increased awareness, and then publics mobilized to demand government action (Gross and Hagy, 2017). For this call to be successful, Gross and Hagy (2017) found that there needed to be a specific ecological goal, such as restoring seagrass habitats (Greening et al., 2014), reconfirming the need for public mobilization around a concrete issue and action. A recent study further emphasized that to address eutrophication effectively requires sustained engagement of various levels of government in concert with publics, as aware constituents can hold officials accountable to meet identified goals (Boesch, 2019).
The final recommended practice for climate change communication that can translate to nutrient communication is the result of the theme of training and the disconnect between research scientists and the public. Changes in training could build partnerships across interested and relevant organizations such that all necessary skillsets are represented. This aims to overcome the reality that no one organization or individual can have training and expertise across all the disciplines or topics, and thus should not be expected to lead in areas in which they have limited or no training. Relevant experts to connect climate scientists with include social scientists, communication scholars (Anderegg, 2010), extension officers (Prokopy et al., 2015), and science communication practitioners (Fischhoff and Scheufele, 2013) or “information brokers” (Dilling and Lemos, 2011). The objective of science communication is to ensure science is accessible and useful for publics. For this to be the case, science communicators have a mediating role of providing clear translation of scientific information to publics, and to ensure scientists understand what scientific questions are of interest to publics. One of the few articles located that discussed communication on nutrient pollution also emphasized the importance of “boundary organizations” that specialize in science communication and can provide necessary support in translating policy and scientific research into useful information that is relevant to community concerns (Boesch, 2006).
The bookend practices of 1 and 5 together emphasize the need to work with individuals across disciplines or official capacities. This is an asset-based approach (Burks and Menezes, 2018) that aims to incorporate into communications the expertise, or assets, of individuals across diverse backgrounds (Banks et al., 2007; Jensen and Holliman, 2015). Taken together, these five practices are evidence-backed ways to improve sharing of information about climate change, nutrient communication, and increasing public engagement. They are practices that science communicators can use to produce useful communications that support and increase publics’ awareness about nutrients and the consequences of pollution, and publics’ understanding of management needs. While management plans require looking at a larger scale of the watershed, communications require relating to specific audiences within that watershed, and humanizing complex science for these audiences. In sum, communications serve to support and advocate for nutrient management via communities’ increased ability to discuss and identify the problem and potential impacts.
Discussion
The lessons gleaned from the science of climate change communication provide a backbone to improve efforts to communicate about nutrient pollution. A survey at the end of a two-year communication campaign about watershed-scale management of water pollution on Cape Cod, Massachusetts, revealed minimal improvement in communities’ awareness of both the local water quality problem and possible solutions (Perry et al., 2020). This has the potential to be a major problem for this tourism-dependent community, as impaired water quality is associated with reduced recreational value (Merrill et al., 2018). In the Neuse River Basin, North Carolina, agricultural runoff is responsible for over half of the nitrogen loading to the estuary and resulted in algal blooms and fish kills for decades. To address this problem, cooperative extension specialists led a nutrient management training program for farmers that increased awareness of nutrient pollution, which both emphasized having a dialogue and preparing education materials (Monroe et al., 2019). At the conclusion of the training, however, a field survey showed the training did not change farmer practices or nutrient loading to the estuary (Osmond et al., 2010). This exemplifies the need for an approach that goes beyond simply sharing information. The challenges faced in changing behavior in both these efforts show that a strategic communication approach (Besley et al., 2019) is essential, and that communications are not a standalone solution to a systemic problem. Continuing efforts to build publics’ and policymakers’ understanding and buy-in to nutrient management is essential (Druschke, 2013). This must be done in conjunction with management strategies that further encourage and enforce behavior change. Finally, while these efforts leave space for improvement, they also demonstrate a focus on localized impacts and examples that climate change communication could benefit from adopting in concretizing messages.
Throughout this paper, we have strived to show the transferability of communication practices between climate change and nutrient pollution. This has been primarily based on the slow impacts and spatially detached drivers and impacts, but the transferability is also due to the interconnected and widespread nature of these issues. As the climate changes, eutrophication that already impacts most U.S. estuaries (Howarth et al., 2000) is expected to worsen in global waterways (Howarth et al., 2000; Alam and Dutta, 2013). Additionally, improved nutrient management is an important part of mitigating climate change due to gaseous nutrient pollution. When comparing the ability of greenhouse gases to warm the atmosphere, nutrient pollution in air as nitrous oxide is 300x as potent as carbon dioxide (Forster et al., 2007; EPA, 2020a). As these issues are intertwined, communications that encourage behavior and policy that improves environmental quality for one of these issues indirectly benefits the other (Russell et al., 2009). The recommended communications strategies are most definitely applicable in building awareness and presenting behaviors for improved environmental quality for both environmental challenges.
Based on the literature review and qualitative coding of the research, five recommended practices for climate change communication were identified that are easily transferred to nutrient communication. The communication practices we identified share an underlying emphasis on relating communication to the societal and environmental context and recognition of the assets that all relevant publics and individuals have to address the environmental challenge. These practices address the need to communicate intentionally between scientists and communities impacted by nutrient pollution such that communications effectively convey urgency across different audiences. They can be applied in navigating communicating slow impacts in a diversity of settings, including across government agencies. Rather than providing a template, the lessons here are of the transferable communications framing, and the need for a multipronged approach to achieve improvements in environmental quality (Osmond et al., 2010). The recommended approach to nutrient communication demands that communicators localize, don’t catastrophize; continue to learn from existing efforts; and provide action items specific to different publics’ expertise, social groups, and policy power.
As nutrient pollution continues to impact marine waters in the United States and globally and impacts worsen, the need for effective nutrient communication is increasing. The findings from the field of climate change communication provide an important set of evidence-backed practices that can be applied toward improving nutrient communication to mitigate impacts.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Author Contributions
KC, KM, and NM all contributed to ideation, research, writing, and revision.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
The views expressed in this article are those of the authors and do not necessarily represent the views or policies of the U.S. Environmental Protection Agency. This contribution is identified by tracking number ORD-036564 of the Atlantic Coastal Environmental Sciences Division, Center for Environmental Measurement and Modeling, Office of Research and Development, U.S. Environmental Protection Agency. Special thanks to Jim Hagy, Jim Latimer, Jessica Daniel, and Tim Gleason for helpful comments on early versions of the manuscript.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fenvs.2021.619606/full#supplementary-material.
References
Alam, M. J., and Dutta, D. (2013). Predicting climate change impact on nutrient pollution in waterways: a case study in the upper catchment of the Latrobe River, Australia. Ecohydrology 6, 73–82. doi:10.1002/eco.282
Alhakami, A. S., and Slovic, P. (1994). A psychological study of the inverse relationship between perceived risk and perceived benefit. Risk Anal 14, 1085–1096. doi:10.1111/j.1539-6924.1994.tb00080.x
Anderegg, W. R. L. (2010). The Ivory Lighthouse: communicating climate change more effectively. Climatic Change 101, 655–662. doi:10.1007/s10584-010-9929-z
Anila, S. (2017). Inclusion requires fracturing. J. Mus. Ed. 42, 108–119. doi:10.1080/10598650.2017.1306996
Banks, J. A., Au, K. H., Ball, A. F., Bell, P., Gordon, E. W., Gutiérrez, K. D., et al. (2007). “Learning in and out of school in diverse environments,” in The LIFE Center and Center for Multicultural Education Seattle, WA: University of Washington, 36.
Bates, C. H. (2010). Use of social marketing concepts to evaluate ocean sustainability campaigns. Social Marketing Q. 16 (1), 71–96. doi:10.1080/15245000903528357
Bauer, M. W. (2006). “Survey research on public understanding of science,” in Handbook of public communication of science and technology, Editors M. Bucchi, and B. Trench (Routledge, New York), 111–129.
Beck, M. W., and Hagy, J. D. (2015). Adaptation of a weighted regression approach to evaluate water quality trends in an estuary. Environ. Model. Assess. 20, 637–655. doi:10.1007/s10666-015-9452-8
Besley, J., O'Hara, K., and Dudo, A. (2019). Strategic science communication as planned behavior: understanding scientists' willingness to choose specific tactics. PLoS One 14 (10), e0224039. doi:10.1371/journal.pone.0224039
Bevan, B., Calabrese Barton, A., and Garibay, C. (2018). Broadening Perspectives on Broadening Participation in STEM. Washington, D.C: CAISE.
Bloodhart, B., Maibach, E., Myers, T., and Zhao, X. (2015). Local climate experts: the influence of local TV weather information on climate change perceptions. PLoS One 10 (11), e0141526. doi:10.1371/journal.pone.0141526
Boesch, D. F., Brinsfield, R. B., and Magnien, R. E. (2001). Chesapeake bay eutrophication: scientific understanding, ecosystem restoration, and challenges for agriculture. J. Environ. Qual. 30, 303–320. doi:10.2134/jeq2001.302303x
Boesch, D. F. (2006). Scientific requirements for ecosystem-based management in the restoration of Chesapeake Bay and coastal Louisiana. Ecol. Eng. 26, 6–26. doi:10.1016/j.ecoleng.2005.09.004
Boesch, D. F. (2019). Barriers and bridges in abating coastal eutrophication. Front. Mar. Sci. 6, 123. doi:10.3389/fmars.2019.00123
Bolderdijk, J. W., Steg, L., Geller, E. S., Lehman, P. K., and Postmes, T. (2013). Comparing the effectiveness of monetary versus moral motives in environmental campaigning. Nat. Clim. Change 3, 413–416. doi:10.1038/nclimate1767
Brossard, D., and Scheufele, D. A. (2013). Social science. Science, new media, and the public. Science 339, 40–41. doi:10.1126/science.1232329
Bruine de Bruin, W., and Bostrom, A. (2013). Assessing what to address in science communication. Proc. Natl. Acad. Sci. USA 110 (Suppl. 3), 14062–14068. doi:10.1073/pnas.1212729110
Burks, R., and Menezes, M. (2018). “What Does Asset-Based STEM Learning Look Like?” Washington, DC: Center for Advancement of Informal Science Education.
Canfield, K. N., Menezes, S., Matsuda, S. B., Moore, A., Mosley Austin, A. N., Dewsbury, B. M., et al. (2020). Science communication demands a critical approach that centers inclusion, equity, and intersectionality. Front. Commun. 5, 2. doi:10.3389/fcomm.2020.00002
Carpenter, S. R., Caraco, N. F., Correll, D. L., Howarth, R. W., Sharpley, A. N., and Smith, V. H. (1998). Nonpoint Pollution of Surface waters with phosphorus and nitrogen. Ecological Applications 8, 559–568. doi:10.1890/1051-0761(1998)008[0559:NPOSWW]2.0.CO;2
Carstensen, J., Sánchez-Camacho, M., Duarte, CM., Krause-Jensen, D., and Marbà, N. (2011). Connecting the dots: responses of coastal ecosystems to changing nutrient concentrations. Environ. Sci. Technol., 45: 9122–9132. doi:10.1021/es202351y
Church, J. A., and White, N. J. (2006). A 20th century acceleration in global sea‐level rise, Geophys. Res. Lett. 33, L01602. doi:10.1029/2005GL024826
Cloern, J. E. (2001). Our evolving conceptual model of the coastal eutrophication problem. Mar. Ecol. Prog. Ser. 210, 223–253. doi:10.3354/meps210223
Cook, J. (2019). “Understanding and countering misinformation about climate change,” in Handbook of research on Deception, fake news, and misinformation online Editors I. Chiluwa, and S. Samoilenko, Hershey, PA: IGI-Global, 281–306.
Corner, A., and Clarke, J. (2016). Talking Climate: From Research to Practice in Public Engagement. Cham, Switzerland: Springer.
Corner, A., Markowitz, E., and Pidgeon, N. (2014). Public engagement with climate change: the role of human values. Wires Clim. Change 5, 411–422. doi:10.1002/wcc.269
Corner, A., and Randall, A. (2011). Selling climate change? The limitations of social marketing as a strategy for climate change public engagement. Glob. Environ. Change 21, 1005–1014. doi:10.1016/j.gloenvcha.2011.05.002
Corner, A., Webster, R., and Teriete, C. (2015). Climate visuals: seven principles for visual climate change communication. Oxford: Climate Outreach.
Creswell, J. (2013). Qualitative inquiry and research design: Choosing among five approaches. Los Angeles, CA: SAGE.
Davidson, E., David, M., Galloway, J., Goodale, C., Haeuber, R., Harrison, J., et al. (2012). Excess nitrogen in the U.S. Environment: trends, risks, and solutions. ESA Issues Ecol. 15, 1–16.
Dawson, E. (2014). Not designed for Us": how science museums and science centers socially exclude low-income, minority ethnic groups. Sci. Educ. 98, 981–1008. doi:10.1002/sce.21133
Dawson, E. (2019). Equity, Exclusion and Everyday Science Learning: The Experiences of Minoritised Groups. 1st Edn. Oxon, OX; New York, NY: Routledge. doi:10.4324/9781315266763
DeBoer, G. E. (2000). Scientific literacy: another look at its historical and contemporary meanings and its relationship to science education reform. J. Res. Sci. Teach. 37, 582–601. doi:10.1002/1098-2736(200008)37:63.0.CO;2-L
Deci, EL., Koestner, R., and Ryan, RM. (1999). A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychol. Bull 125, 627–700. doi:10.1037/0033-2909.125.6.627
Dilling, L., and Lemos, M. C. (2011). Creating usable science: opportunities and constraints for climate knowledge use and their implications for science policy. Glob. Environ. Change-human Policy Dimensions 21, 680–689.
Dixon, G., Bullock, O., and Adams, D. (2019). Unintended effects of emphasizing the role of climate change in recent natural disasters, Environ. Commun. 13 (2), 135–143. doi:10.1080/17524032.2018.1546202
Doney, S. C., Fabry, V. J., Feely, R. A., Kleypas, J. A., and Kleypas, J. A. (2009). Ocean acidification: the other CO2 problem. Ann. Rev. Mar. Sci. 1 (1), 169–192. doi:10.1146/annurev.marine.010908.163834
Doubleday, R. (2007). Risk, public engagement and reflexivity: alternative framings of the public dimensions of nanotechnology. Health Risk Soc. 9 (2), 211–227. doi:10.1080/13698570701306930
Doyle, J. (2007). Picturing the clima(c)tic: greenpeace and the representational politics of climate change communication. Sci. as Cult. 16 (2), 129–150. doi:10.1080/09505430701368938
Druschke, C. G. (2013). Watershed as common-place: communicating for conservation at the watershed scale. Environ. Commun. A J. Nat. Cult. 7 (1), 80–96. doi:10.1080/17524032.2012.749295
Duarte, C. M., Borja, A., Carstensen, J., Elliott, M., Krause-Jensen, D., and Marba, N. (2015). Paradigms in the recovery of estuarine and coastal ecosystems. Estuaries and Coasts 38, 1202–1212. doi:10.1007/s12237-013-9750-9
Duarte, C. M., Conley, D. J., Carstensen, J., and Sánchez-Camacho, M. (2009). Return to Neverland: shifting baselines affect eutrophication restoration targets. Estuaries Coasts 32, 29–36. doi:10.1007/s12237-008-9111-2
Eckert, E., and Bell, A. (2005). Invisible force: farmers’ mental models and how they influence learning and actions. J. Extension 43 (3), 1077–5315.
Einsiedel, E. F. (1994). Mental maps of science: knowledge and attitudes among Canadian adults. Int. J. Public Opin. Res. 6 (1), 35–44. doi:10.1093/ijpor/6.1.35
Elliott, V. (2018). Thinking about the coding process in qualitative data analysis. Qual. Rep. 23 (11), 2850–2861.
EPA (1996). Protecting Coastal Waters from Nonpoint Source Pollution. Available at: https://nepis.epa.gov/Exe/ZyPDF.cgi/20004PZO.PDF?Dockey=20004PZO.PDF
EPA (2020a). Overview of Greenhouse Gases: Nitrous Oxide Emissions. Available at: https://www.epa.gov/ghgemissions/overview-greenhouse-gases#N2O-references
EPA (2020b). Basic Information about Nonpoint Source (NPS) Pollution. Available at: https://www.epa.gov/nps/basic-information-about-nonpoint-source-nps-pollution
Eskjær, M. F. (2017). “Climate change communication in Denmark,” in Oxford Research Encyclopedia of Climate Science Oxford, United Kingdom: Oxford University Press. doi:10.1093/acrefore/9780190228620.013.452
Eveland, W. P., and Cooper, K. E. (2013). An integrated model of communication influence on beliefs. Proc. Natl. Acad. Sci. USA 110 (Suppl. 3), 14088–14095. doi:10.1073/pnas.1212742110
Fischhoff, B., and Scheufele, D. A. (2013). The science of science communication. Introduction. Proc. Natl. Acad. Sci. USA.110 (Suppl. 3), 14031–14032. doi:10.1073/pnas.1312080110
Forster, P., Ramaswamy, V., Artaxo, P., Berntsen, T., Betts, R., Fahey, D. W., et al. (2007). “Changes in atmospheric constituents and in radiative forcing,” in Climate change 2007: the Physical science Basis. Contribution of working group I to the fourth assessment report of the intergovernmental Panel on climate change Editors S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averytet al. Cambridge, United Kingdom and New York, NY, United Sttaes: Cambridge University Press.
Fowler, D., Coyle, M., Skiba, U., Sutton, M. A., Cape, J. N., Reis, S., et al. (2013). The global nitrogen cycle in the twenty-first century. Philos. Trans. R. Soc. Lond. B, Biol. Sci. 368 (1621), 20130164. doi:10.1098/rstb.2013.0164
Fox, K., and Kotler, P. (1980). The marketing of social causes: the first 10 years. J. Mark 44 (4), 24–33. doi:10.2307/1251226
Gauchat, G. (2012). Politicization of science in the public sphere. Am. Sociological Rev. 77 (2), 167–187. doi:10.1177/0003122412438225
Gifford, R., and Comeau, L. (2011). Message framing influences perceived climate change competence, engagement, and behavioral intentions. Glob. Environ. Change 21, 1301–1307. doi:10.1016/j.gloenvcha.2011.06.004
Glibert, P. M., Hinkle, D. C., Sturgis, B., and Jesien, R. V. (2013). Eutrophication of a Maryland/Virginia coastal lagoon: a tipping point, ecosystem changes, and potential causes. Estuaries and Coasts 37, 128–146. doi:10.1007/s12237-013-9630-3
Glibert, P. M., and Pitcher, G. (2001). Global Ecology and Oceanography of Harmful Algal Blooms (GEOHAB): Science plan. SCOR and UNESCO.
Greening, H., and Elfring, C. (2002). Local, state, regional, and federal roles in coastal nutrient management. Estuaries 25, 838–847. doi:10.1007/BF02804909
Greening, H., Janicki, A., Sherwood, E. T., Pribble, R., and Johansson, J. O. R. (2014). Ecosystem responses to long-term nutrient management in an urban estuary: tampa Bay, Florida, USA. Estuarine, Coastal Shelf Sci. 151, A1–A16. doi:10.1016/j.ecss.2014.10.003
Gross, C., and Hagy, J. (2017). Attributes of successful actions to restore lakes and estuaries degraded by nutrient pollution. J. Environ. Manage 187, 122–136. doi:10.1016/j.jenvman.2016.11.018
Gusenbauer, M. (2019). Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases. Scientometrics 118, 177–214. doi:10.1007/s11192-018-2958-5
Halevi, G., Moed, H., and Bar-Ilan, J. (2017). Suitability of Google Scholar as a source of scientific information and as a source of data for scientific evaluation-Review of the Literature. J. Inform. 11, 823–834. doi:10.1016/j.joi.2017.06.005
Hansen, J., Marx, S., and Weber, E. U. (2004). The Role of climate perceptions, expectations, and forecasts in farmer decision making: the Argentine Pampas and South Florida. Palisades, NY: International Research Institute for Climate Prediction. IRI Technical Report 04-01.
Hertwig, R., Barron, G., Weber, EU., and Erev, I. (2004). Decisions from experience and the effect of rare events in risky choice. Psychol. Sci. 15, 534–539. doi:10.1111/j.0956-7976.2004.00715.x
Hetherington, E. D., and Phillips, A. A. (2020). A scientist’s guide for engaging in policy in the United States. Front. Mar. Sci. 7, 409. doi:10.3389/fmars.2020.00409
Hoijer, B. (2010). Emotional anchoring and objectification in the media reporting on climate change. Public Underst Sci., 19(6): 717–731. doi:10.1177/0963662509348863
Howarth, R., Chan, F., Conley, D. J., Garnier, J., Doney, S. C., Marino, R., et al. (2011). Coupled biogeochemical cycles: eutrophication and hypoxia in temperate estuaries and coastal marine ecosystems. Front. Ecol. Environ. 9, 18–26. doi:10.1890/100008
Howarth, R. W., Anderson, D., Cloern, J., Elfring, C., Hopkinson, C., Lapointe, B., et al. (2000). Nutrient pollution of coastal rivers, bays, and seas. Issues Ecol. 7, 1–15.
Howarth, R. W., and Marino, R. (2006). Nitrogen as the limiting nutrient for eutrophication in coastal marine ecosystems: evolving views over three decades. Limnology and Oceanography 51 (1), 364–376. doi:10.4319/lo.2006.51.1_part_2.0364
IPCC (2014). Climate change 2014: impacts, adaptation, and vulnerability. Part A: global and sectoral aspects. Contribution of working group II to the fifth assessment report of the intergovernmental Panel on climate change. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press, 1132.
Jacobson, N., Butterill, D., and Goering, P. (2004). Organizational factors that influence University-based researchers’ engagement in knowledge transfer activities. Sci. Commun. 25 (3), 246–259. doi:10.1177/1075547003262038
Jensen, E., and Holliman, R. (2015). Norms and values in UK science engagement practice. Int. J. Sci. Educ. B 6, 68–88. doi:10.1080/21548455.2014.995743
Johnson, A. N., Sievert, R., Durglo, Sr., M., Finley, V., Adams, L., and Hofmann, M. H. (2014). Indigenous knowledge and geoscience on the flathead Indian reservation, northwest Montana: implications for place-based and culturally congruent education. J. Geosci. Education 62 (2), 187–202. doi:10.5408/12-393.1
Kahan, D. M., Jenkins-Smith, H., and Braman, D. (2011). Cultural cognition of scientific consensus, J. Risk Res. 14 (2), 147–174. doi:10.1080/13669877.2010.511246
Kahan, D. M., Jenkins-Smith, H., Tarantola, T., Silva, C. L., and Braman, D. (2015). ‘Geoengineering and climate change polarization: testing a two-channel model of science communication. Ann. Am. Acad. Polit. Social Sci. 658, 192–222. doi:10.1177/0002716214559002
Kahan, D. M., Peters, E., Wittlin, M., Slovic, P., Ouellette, L. L., Braman, D., et al. (2012). The polarizing impact of science literacy and numeracy on perceived climate change risks. Nat. Clim. Change 2, 732–735. doi:10.1038/nclimate1547
Kahan, D. M. (2015). ‘What is the “science of science communication”?’ J. Sci. Commun. 14 (3), 1-12. doi:10.2139/ssrn
Kehoe, T. (1992). Merchants of pollution?: The Soap and Detergent Industry and the Fight to Restore Great Lakes Water Quality, 1965-1972. Environ. Hist. Rev. 16 (3), 21–46. doi:10.2307/3984751
Kennedy, C., Steinberger, J., Gasson, B., Hansen, Y., Hillman, T., Havránek, M., et al. (2009). Greenhouse gas emissions from global cities. Environ. Sci. Technol. 43 (19), 7297–7302. doi:10.1021/es900213p
Khan, KS., Kunz, R., Kleijnen, J., and Antes, G. (2003). Five steps to conducting a systematic review. J. R. Soc. Med. 96 (3), 118–121.doi:10.1258/jrsm.96.3.118
Kisiel, J., and Anderson, D. (2010). The challenges of understanding science learning in informal environments. Curator: Mus. J. 53, 181–189. doi:10.1111/j.2151-6952.2010.00018.x
Kroeker, K. J., Kordas, R. L., Crim, R. N., and Singh, G. G. (2010). Meta-analysis reveals negative yet variable effects of ocean acidification on marine organisms. Ecol. Lett. 13, 1419–1434. doi:10.1111/j.1461-0248.2010.01518.x
Lazer, W., and Kelley, E. J. (1973). Social marketing: Perspectives and viewpoints. Ontario, Canada: Irwin-Dorsey.
Lefcheck, J. S., Orth, R. J., Dennison, W. C., Wilcox, D. J., Murphy, R. R., Keisman, J., et al. (2018). Long-term nutrient redutions lead to the unprecedented recovery of a temperate coastal region. Proc. Natl. Acad. Sci. U.S.A. 115, 3658–3662. doi:10.1073/pnas.1715798115
Leiserowitz, A. (2005). American risk perceptions: is climate change dangerous? Risk Anal, 25: 1433–1442. doi:10.1111/j.1540-6261.2005.00690.x
Leiserowitz, A. (2006). Climate change risk perception and policy preferences: the role of affect, imagery, and values. Climatic Change 77, 45–72. doi:10.1007/s10584-006-9059-9
Lemus, J. D., Seraphin, K. D., Coopersmith, A., and Correa, C. K. V. (2014). Infusing traditional knowledge and ways of knowing into science communication courses at the university of Hawai‘i. J. Geosci. Education 62 (1), 5–10. doi:10.5408/12-416.1
León, B., and Erviti, MC. (2013). Science in pictures: visual representation of climate change in Spain's television news. Public Underst Sci. 24 (2), 183–199. doi:10.1177/0963662513500196
Leviston, Z., Price, J., and Bishop, B. (2014). Imagining climate change: the role of implicit associations and affective psychological distancing in climate change responses: implicit associations with climate change. Eur. J. Social Psychol. 44 (5), 441–454. doi:10.1002/ejsp.2050
Lewenstein, B. V. (2003). Models of public communication of science and technology. Public Understanding Sci. 96 (3), 288–293.
Linville, P. W., and Fischer, G. W. (1991). Preferences for separating or combining events. J. Pers Soc. Psychol. 60, 5–23. doi:10.1037//0022-3514.60.1.5
Loewenstein, G., Weber, E. U., Hsee, C. K., and Welch, N. (2001). Risk as feelings. Psychol. Bull 127 (2), 267–286. doi:10.1037/0033-2909.127.2.267
Lorenzoni, I., and Pidgeon, N. F. (2006). Public views on climate change: European and USA. Perspect. Climatic Change 77, 73–95. doi:10.1007/s10584-006-9072-z
Madhavan, P. (2011). The Psychology of Climate Change” in Integrating the Social Sciences into Chesapeake Bay Restoration prepared by Chesapeake Bay Program’s Scientific and Technical Advisory Committee. Edgewater, MD: STAC Publication 11-05.
Maibach, E., Roser-Renouf, C., and Leiserowitz, A. Global Warming's Six Americas 2009 (2009). An audience segmentation analysis Yale project on climate change. New Haven, CT: Yale University and George Mason University, 139.
Maibach, EW., Roser-Renouf, C., and Leiserowitz, A. (2008). Communication and marketing as climate change-intervention assets a public health perspective. Am. J. Prev. Med. 35 (5), 488–500. doi:10.1016/j.amepre.2008.08.016
Martín-Martín, A., Orduna-Malea, E., Thelwall, M., and López-Cózar, E. D. (2018). Google Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories. J. Informetrics 12 (4), 1160–1177. doi:10.1016/j.joi.2018.09.002
Marx, S. M., Weber, E. U., Orlove, B. S., Leiserowitz, A., Krantz, D. H., Roncoli, C., et al. (2007). Communication and mental processes: experiential and analytic processing of uncertain climate information. Glob. Environ. Change 17 (1), 47–58. doi:10.1016/j.gloenvcha.2006.10.004
Mase, A. S., and Prokopy, L. S. (2014). Unrealized potential: a review of perceptions and use of weather and climate information in agricultural decision making. Weather, Clim. Soc. 6, 47–61. doi:10.1175/WCAS-D-12-00062.1
Massarani, L., and Merzagora, M. (2014). Comment: socially inclusive science communication. J. Sci. Commun. 13, C01. doi:10.22323/2.13020301
Medin, D. L., and Bang, M. (2014). The cultural side of science communication. Proc. Natl. Acad. Sci. USA 111 (Suppl 4), 13621–13626. doi:10.1073/pnas.1317510111
Meldrum, H. M., Szymanski, D., Oches, E. A., and Thomson Davis, P. (2012). A picture is worth a thousand tables. Int. J. Social Ecol. Sustainable Development 7 (4), 1–16. doi:10.1007/978-1-4614-5329-1
Merrill, N. H., Mulvaney, K. K., Mulvaney, K. K., Martin, D. M., Chintala, M. M., Berry, W., Gleason, T., et al. (2018). A resilience framework for chronic exposures: water quality and ecosystem services in coastal social-ecological systems. Coast Manage 46 (4), 242–258. doi:10.1080/08920753.2018.1474066
Merrill, N. H., Piscopo, A. N., Balogh, S., Furey, R. P., and Mulvaney, K. K. (2020). When, where and how to intervene? Trade-offs between time and costs in coastal nutrient management JAWRA. 1–16. doi:10.1111/1752-1688.12897
Metag, J., Schäfer, M. S., Füchslin, T., Barsuhn, T., and Kleinen-von Königslöw, K. (2016). Perceptions of climate change imagery: evoked salience and self-efficacy in Germany, Switzerland, and Austria. Sci. Commun. 38 (2), 197–227. doi:10.1177/1075547016635181
Meyer, A. (2013). Estimating discount factors for public and private goods and testing competing discounting hypotheses. J. Risk Uncertainty 46 (2), 133–173. doi:10.1007/s11166-013-9163-y
Mexico Hypoxia Assessment (2017). Report to Congress. (Mississippi River/Gulf of Mexico Watershed Nutrient Task Force, Washington DC. US EPA report. Available at: https://www.epa.gov/sites/production/files/2017-11/documents/hypoxia_task_force_report_to_congress_2017_final.pdf.
Monroe, M. C., Plate, R. R., Oxarart, A., Bowers, A., and Chaves, W. A. (2019). Identifying effective climate change education strategies: a systematic review of the research. Environ. Education Res. 25 (6), 791–812. doi:10.1080/13504622.2017.1360842
Moore, F. C., Obradovich, N., Lehner, F., and Baylis, P. (2019). Rapidly declining remarkability of temperature anomalies may obscure public perception of climate change. Proc. Natl. Acad. Sci. 116 (11), 4905–4910. doi:10.1073/pnas.1816541116
Moser, S. C. (2010). Communicating climate change: history, challenges, process and future directions. WIREs Clim. Change 1, 31–53. doi:10.1002/wcc.11
National Research Council (2000). Clean Coastal Waters: Understanding and Reducing the Effects of Nutrient Pollution. Washington, DC: National Academy Press.
National Social Marketing Centre (2006). It’s Our Health! Realising the Potential of Effective Social Marketing. London, United Kingdom: NSMC.
Nerlich, B., and Jaspal, R. (2014). Images of extreme weather: symbolising human responses to climate change. Sci. as Cult. 23 (2), 253–276. doi:10.1080/09505431.2013.846311
Nerlich, B., Koteyko, N., and Brown, B. (2010). Theory and language of climate change communication. WIREs Clim. Change 1, 97–110. doi:10.1002/wcc.2
Nicholls, R. J., and Cazenave, A. (2010). Sea-level rise and its impact on coastal zones. Science 328 (5985), 1517–1520. doi:10.1126/science.1185782
Nicholson-Cole, S. A. (2005). Representing climate change futures: a critique on the use of images for visual communication. Comput. Environ. Urban Syst. 29 (3), 255–273. doi:10.1016/j.compenvurbsys.2004.05.002
Nisbet, M. C., and Scheufele, D. A. (2009). What's next for science communication? Promising directions and lingering distractions. Am. J. Bot. 96, 1767–1778. doi:10.3732/ajb.0900041
Nixon, S. W. (1995). Coastal marine eutrophication: a definition, social causes, and future concerns. Ophelia 41, 199–219. doi:10.1080/00785236.1995.10422044
Nurmis, J. (2016). Visual climate change art 2005-2015: discourse and practice. Wiley Interdiscip. Rev. Clim. Change 7 (4), 501–516. doi:10.1002/wcc.400
O'Neill, S., and Nicholson-Cole, S. (2009). “Fear won't do it”: promoting positive engagement with climate change through visual and iconic representations. Sci. Commun. 30 (3), 355–379. doi:10.1177/1075547008329201
O’Neill, S. J., and Smith, N. (2013). Climate change and visual imagery. Wiley Interdiscip. Rev. Clim. Change 5 (1), 73–87. doi:10.1002/wcc.249
Osmond, D. L., Nadkarni, N. M., Driscoll, C. T., Andrews, E., Gold, A. J., Allred, S. R. B., et al. (2010). The role of interface organizations in science communication and understanding. Front. Ecol. Environ. 8, 306–313. doi:10.1890/090145
Ottinger, G. (2013). Refining Expertise: How Responsible Engineers Subvert Environmental Justice Challenges. New York; London: NYU Press.
Pérez-Ruzafa, A., Campillo, S., Fernández-Palacios, J. M., García-Lacunza, A., García-Oliva, M., Ibañez, H., et al. (2019). Long-term dynamic in nutrients, chlorophyll a, and water quality parameters in a coastal lagoon during a process of eutrophication for decades, a sudden break and a relatively rapid recovery. Front. Mar. Sci. 6, 26. doi:10.3389/fmars.2019.00026
Paerl, H. W. (1997). Coastal eutrophication and harmful algal blooms: importance of atmospheric deposition and groundwater as “new” nitrogen and other nutrient sources. Limnology and Oceanography 42 (5), 1154–1165. doi:10.4319/lo.1997.42.5_part_2.1154
Palumbi, S. R., McLeod, K. L., and Grunbaum, D. (2008). Ecosystems in action: lessons from marine ecology about recovery, resistance, and reversibility. BioScience 58 (1), 33–42. doi:10.1641/B580108
Paolisso, M. (2011). Why Culture Is Important to Environmental Behavior” in Integrating the Social Sciences into Chesapeake Bay Restoration prepared by Chesapeake Bay Program’s Scientific and Technical Advisory Committee (Edgewater, MD: STAC Publication 11-05).
Pauly, D. (1995). Anecdotes and the shifting baseline syndrome of fisheries. Trends Ecol. Evol. (Amst) 10 (10), 430. doi:10.1016/s0169-5347(00)89171-5
Pearson, A. R., Schuldt, J. P., and Romero-Canyas, R. (2016). Social climate science. Perspectives on psychological science. A J. Assoc. Psychol. Sci. 11 (5), 632–650. doi:10.1177/1745691616639726
Peattie, K., and Peattie, S. (2009). Social marketing: a pathway to consumption reduction?. J. Business Res. 62 (2), 260–268. doi:10.1016/j.jbusres.2008.01.033
Perry, E. S., Smith, S. N., and Mulvaney, K. K. (2020). Designing solutions for clean water on Cape Cod: engaging communities to improve decision making. Ocean Coastal Management 183, 104998. doi:10.1016/J.ocecoaman.2019.104998
Peters, A. (2020). “What would happen if the world reacted to climate change like it’s reacting to the coronavirus?”. Fast Company, March 10, 2020. Availble at: https://www.fastcompany.com/90473758/what-would-happen-if-the-world-reacted-to-climate-change-like-its-reacting-to-the-coronavirus.
Petersen, A. M., Vincent, E. M., and Westerling, A. L. (2019). Discrepancy in scientific authority and media visibility of climate change scientists and contrarians. Nat. Commun. 10 (1), 3502. doi:10.1038/s41467-019-09959-4
Prager, K., and Curfs, M. (2016). Using mental models to understand soil management. Soil Use Management 32, 36–44. doi:10.1111/sum.12244
Prokopy, L. S., Carlton, J. S., Arbuckle, J. G., Haigh, T., Lemos, M., Mase, A. S., et al. (2015). Extension′s role in disseminating information about climate change to agricultural stakeholders in the United States. Climatic Change 130, 261–272. doi:10.1007/s10584-015-1339-9
Rebich-Hespanha, S., Rice, R. E., Montello, D. R., Retzloff, S., Tien, S., and Hespanha, J. P. (2014). Image themes and frames in US print news stories about climate change. Environ. Commun. 9 (4), 491–519. doi:10.1080/17524032.2014.983534
Reddy, S. M., Wardropper, C., Weigel, C., Masuda, Y. J., Seth Harden, M. P. A., Pranay Ranjan, P., et al. (2020). Conservation behavior and effects of economic and environmental message frames. Conservation Lett. 13, e12750. 10.1111/conl.12750
Regan, H. (2020). “The world is coming together to fight coronavirus. It can do the same for the climate crisis” CNN, April 8, 2020. Available at: https://www.cnn.com/2020/03/18/world/coronavirus-and-climate-crisis-response-intl-hnk/index.html.
Reich, C., Price, J., Rubin, E., and Steiner, M. (2010). Inclusion, Disabilities, and Informal Science Learning. A CAISE Inquiry Group Report. Washington, DC: Center for Advancement of Informal Science Education (CAISE).
Renn, O. (2010). The social amplification/attenuation of risk framework: application to climate change. WIREs Clim. Change 2, 154–169. doi:10.1002/wcc.99
Riahi, K., Rao, S., Krey, V., Krey, V., Cho, C., Chirkov, V., et al. (2011). RCP 8.5—a scenario of comparatively high greenhouse gas emissions. Climatic Change 109 (33), 33–57. doi:10.1007/s10584-011-0149-y
Roeser, S. (2012). Risk communication, public engagement, and climate change: a role for emotions. Risk Anal 32 (6), 1033–1040. doi:10.1111/j.1539-6924.2012.01812.x
Root, T., Price, J., Hall, K., Schneider, S. H., Rosenzweig, C., and Pounds, J. A. (2003). Fingerprints of global warming on wild animals and plants. Nature 421, 57–60. doi:10.1038/nature01333
Rosenzweig, C., Karoly, D., Vicarelli, M., Neofotis, P., Neofotis, P., Wu, Q., et al. (2008). Attributing physical and biological impacts to anthropogenic climate change. Nature 453, 353–357. doi:10.1038/nature06937
Roth, S. (2020). “Here’s what a coronavirus-like response to the climate crisis would look like.” Los Angeles Times, March 24, 2020. Available at: https://www.latimes.com/environment/story/2020-03-24/what-coronavirus-like-response-to-climate-crisis-would-look-like.
Rowson, J. (2013). A new agenda on climate change: Facing up to stealth denial and winding down on fossil fuels. London, UK: RSA: The Royal Society for Encouragement of Arts.
Russell, B. D., Thompson, J.‐A. I., Falkenberg, L. J., and Connell, S. D. (2009). Synergistic effects of climate change and local stressors: CO2 and nutrient‐driven change in subtidal rocky habitats. Glob. Change Biol. 15, 2153–2162. doi:10.1111/j.1365-2486.2009.01886.x
Scharff, D. P., Mathews, K. J., Jackson, P., Hoffsuemmer, J., Martin, E., and Edwards, D. (2010). More than Tuskegee: understanding mistrust about research participation. J. Health Care Poor Underserved 21 (3), 879–897. doi:10.1353/hpu.0.0323
Scheufele, D. A. (2013). Communicating science in social settings. Proc. Natl. Acad. Sci. USA, 110 (Suppl. 3), 14040–14047. doi:10.1073/pnas.1213275110
Singh, A. S., Church, S. P., Dang, L., Hennes, E. P., and Prokopy, L. S. (2020). Does climate change framing matter? Evidence from an experiment of crop advisors in the Midwestern United States. Climatic Change 162 (1), e8. doi:10.1007/s10584-020-02703-8
Singh, G. G., Tam, J., Sisk, T. D., Klain, S. C., Mach, M. E., Martone, R. G., et al. (2014). A more social science: barriers and incentives for scientists engaging in policy. Front. Ecol. Environ. 12, 161–166. doi:10.1890/130011
Slovic, P., Finucane, M. L., Peters, E., and MacGregor, D. G. (2004). Risk as analysis and risk as feelings: some thoughts about affect, reason, risk, and rationality. Risk Anal 24, 311–322. doi:10.1111/j.0272-4332.2004.00433.x
Smallman, M. (2016). Public Understanding of Science in turbulent times III: deficit to dialogue, champions to critics. Public Underst Sci. 25 (2), 186–197. doi:10.1177/0963662514549141
Smith, N. W., and Joffe, H. (2009). Climate change in the British press: the role of the visual. J. Risk Res., 12 (5), 647–663. doi:10.1080/13669870802586512
Smith, V. H., Tilman, G. D., Tilman, G. D., and Nekola, J. C. (1999). Eutrophication: impacts of excess nutrient inputs on freshwater, marine, and terrestrial ecosystems. Environ. Pollut. 100, 179–196. doi:10.1016/S0269-7491(99)00091-3
Spence, A., Poortinga, W., and Pidgeon, N. (2012). The psychological distance of climate change. Risk Anal, 32, 957–972. doi:10.1111/j.1539-6924.2011.01695.x
Stocklmayer, S. M., Rennie, L. J., and Gilbert, J. K. (2010). The roles of the formal and informal sectors in the provision of effective science education. Stud. Sci. Education 46 (1), 1–44. doi:10.1080/03057260903562284
Streicher, B., Unterleitner, K., and Schulze, H. (2014). Knowledge rooms—science communication in local, welcoming spaces to foster social inclusion. J. Sci. Commun. 13, C02. doi:10.22323/2.13020303
Suite, D. H., La Bril, R., Primm, A., and Harrison-Ross, P. (2007). Beyond misdiagnosis, misunderstanding and mistrust: relevance of the historical perspective in the medical and mental health treatment of people of color. J. Natl. Med. Assoc., 99 (8), 879–885.
Sutula, M., Kudela, R., Hagy, J. D., Harding, L. W., Senn, D., Cloern, J. E., et al. (2017). Novel analyses of long-term data provide a scientific basis for chlorophyll-a thresholds in San Francisco Bay. Estuar. Coast. Shelf Sci. 197, 107–118. doi:10.1016/j.ecss.2017.07.009
Swim, J. K., and Bloodhart, B. (2014). Portraying the perils to polar bears: the role of empathic and objective perspective-taking toward animals in climate change communication. Environ. Commun. 9 (4), 446–468. doi:10.1080/17524032.2014.987304?journalCode=renc20#.VPDO6fnF-Bp
Taylor, D. I. (2006). 5 years after transfer of Deer Island flows offshore: an update of water-quality improvements in Boston Harbor. Boston: Massachusetts Water Resources Authority, 77.
USGCRP (2018). Impacts, risks, and Adaptation in the United States: fourth national climate assessment, volume II. Washington DC, USA: U.S. Global Change Research Program, 1515. doi:10.7930/NCA4.2018
van der Linden, S. (2015). Intrinsic motivation and pro-environmental behaviour. Nat. Clim. Change 5, 612–613. doi:10.1038/nclimate2669
van der Linden, S. (2016). A conceptual critique of the cultural cognition thesis. Sci. Commun. 38 (1), 128–138. doi:10.1177/1075547015614970
van der Linden, S., Maibach, E., and Leiserowitz, A. (2015). Improving public engagement with climate change: five “best practice” insights from psychological science. Perspect. Psychol. Sci. 10 (6), 758–763. doi:10.1177/1745691615598516
van der Linden, S. L. (2014). The social-psychological determinants of climate change risk perceptions: towards a comprehensive model. J. Environ. Psychol. 41, 112–124. doi:10.1016/j.jenvp.2014.11.012
van Hulst, F., Ellis, R., Prager, K., and Msika, J. (2020). Using co-constructed mental models to understand stakeholder perspectives on agro-ecology, Int. J. Agric. Sustainability 18 (2), 172–195. doi:10.1080/14735903.2020.1743553
Van Meter, K. J., Basu, N. B., Veenstra, J. J., and Burras, C. L. (2016). The nitrogen legacy: emerging evidence of nitrogen accumulation in anthropogenic landscapes. Environ. Res. Lett. 11, 035014. doi:10.1088/1748-9326/11/3/035014
Van Meter, K. J., Van Cappellen, P., and Basu, N. B. (2018). Legacy nitrogen may prevent achievement of water quality goals in the Gulf of Mexico. Science 360, 427–430. doi:10.1126/science.aar4462
Van Rensburg, W., and Head, B. W. (2017). Climate change scepticism: reconsidering how to respond to core criticisms of climate science and policy. Sage Open 7 (4), 1–11. doi:10.1177/2158244017748983
Verdonschot, P. F. M., Spears, B. M., Feld, C. K., Brucet, S., Keizer-Vlek, H., Borja, A., et al. (2013). A comparative review of recovery processes in rivers, lakes, estuarine and coastal waters. Hydrobiologia 704 (1), 453–474. doi:10.1007/s10750-012-1294-7
von Winterfeldt, D. (2013). Bridging the gap between science and decision making. Proc. Natl. Acad. Sci. USA 110 (Suppl 3), 14055–14061. doi:10.1073/pnas.1213532110
Walker, B. J. A., Kurz, T., and Russel, D. (2018). Towards an understanding of when non-climate frames can generate public support for climate change policy. Environ. Behav. 50, 781–806. doi:10.1177/0013916517713299
Walls, J., Rogers-Hayden, T., Mohr, A., and O’Riordan, T. (2005). Seeking citizens’ views on GM crops – experiences from the United Kingdom, Australia, and New Zealand. Environment 47 (7), 22–37. doi:10.3200/ENVT.47.7.22-37
Wang, S., Corner, A., Chapman, D., and Markowitz, E. (2018). Public engagement with climate imagery in a changing digital landscape. WIREs Clim. Change 9, e509. doi:10.1002/wcc.509
Weber, E. U., Sahfir, S., and Blais, A. R. (2004). Predicting risk sensitivity in humans and lower animals: risk as variance or coefficient of variationficient of variation. Psychol. Rev. 111, 430–445. doi:10.1037/0033-295X.111.2.430
Weinstein, M. P. (2008). Ecological restoration and estuarine management: placing people in the coastal landscape. J. Appl. Ecol. 45, 296–304. doi:10.1111/j.1365-2664.2007.01355.x
Wiebe, G. D. (1952). Merchandising commodities and citizenship on television. Public Opin. Q. 15, 679–691. doi:10.1086/266353
Wynne, B. (1992). Misunderstood misunderstanding: social identities and public uptake of science. Public Understanding Sci. 1, 281–304. doi:10.1088/0963-6625/1/3/004
Zaneveld, J., Burkepile, D., Shantz, A., Prtichard, C. E., Pritchard, CE., McMinds, R., Payet, JP., et al. (2016). Overfishing and nutrient pollution interact with temperature to disrupt coral reefs down to microbial scales. Nat. Commun. 7, 11833. doi:10.1038/ncomms11833
Keywords: climate change communication, nutrient management, science communication, nutrient communication, science of science communication
Citation: Canfield KN, Mulvaney K and Merrill N (2021) Messaging on Slow Impacts: Applying Lessons Learned from Climate Change Communication to Catalyze and Improve Marine Nutrient Communication. Front. Environ. Sci. 9:619606. doi: 10.3389/fenvs.2021.619606
Received: 20 October 2020; Accepted: 21 January 2021;
Published: 10 March 2021.
Edited by:
Karen Evans, Commonwealth Scientific and Industrial Research Organisation (CSIRO), AustraliaReviewed by:
Bruno Takahashi, Michigan State University, United StatesSibo Chen, Ryerson University, Canada
Copyright © 2021 Canfield, Mulvaney and Merrill. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Katherine Nicole Canfield, Y2FuZmllbGQua2F0aGVyaW5lQGVwYS5nb3Y=