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Research Article

A Systems Map of the Challenges of Climate Communication

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Abstract

Over the past sixty years, scientists have been warning about climate change and its impacts on human health, but evidence suggests that many may not be heeding these concerns. This raises the question of whether new communication approaches are needed to overcome the unique challenges of communicating what people can do to slow or reverse climate change. To better elucidate the challenges of communicating about the links between human activity, climate change and its effects, and identify potential solutions, we developed a systems map of the factors and processes involved based on systems mapping sessions with climate change and communication experts. The systems map revealed 27 communication challenges such as “Limited information on how individual actions contribute to collective human activity,” “Limited information on how present activity leads to long-term effects,” and “Difficult to represent and communicate complex relationships.” The systems map also revealed several themes among the identified challenges that exist in communicating about climate change, including a lack of available data and integrated databases, climate change disciplines working in silos, a need for a lexicon that is easily understood by the public, and the need for new communication strategies to describe processes that take time to manifest.

Over the past sixty years (Bell, Citation2021), scientists have been warning about climate change and its impacts on human health, but evidence suggests that many may not be heeding these concerns in the absence of substantial shifts to public opinion, policy, and human activity. For example, the United Nations (UN), Environmental Defense Fund (EDF), and Greenpeace have issued warnings and calls to action for governments and businesses to do more about climate change (Greenpeace, Citation2024; Kallhauge, Citation2023; United Nations, Citationn.d.). Yet various polls have shown that many people are not willing to make changes that may help mitigate climate change and its impacts. For example, only 31% of Americans support a transition to fully renewable energy sources, and 14% do not even believe that climate change exists (Pasquini et al., Citation2023; Tyson et al., Citation2023; Weise, Citation2023). Global surveys demonstrate that climate change is widely perceived as an urgent issue, but also suggest that the expectation of collective responsibility (e.g., most countries adopt policies to combat climate change) may inhibit public demand for local actions (Dabla-Norris et al., Citation2023). This raises the question of whether new communication approaches are needed to overcome the unique challenges of communicating the impacts of climate change.

A major hurdle is that the processes involved in how human activity leads to climate change and how climate change then leads to changes in the environment and atmosphere and subsequent effects on human health comprise a complex system. Systems mapping is an established method to help people better understand complex systems (Barbrook-Johnson & Penn, Citation2021; Cox et al., Citation2021; Mabry et al., Citation2010; Pronk et al., Citation2023; Scott et al., Citation2016; van den Akker et al., Citation2023). Participatory systems mapping involves bringing stakeholders with different expertise together to collectively construct a “mental map” of a system, where they are asked to apply their knowledge of the mechanisms and relationships of the wider system to build the map together, working to uncover the “why” and “how” different events and processes come about (Ackermann & Alexander, Citation2016). This visual representation of the system elicits a richer, more nuanced, and holistic understanding of its complexity, including where feedback loops and leverage points may exist, and what may be needed to intervene in the system. This also helps build a narrative and generate new questions for a particular issue (Barbrook-Johnson & Penn, Citation2021). For example, one systems map shows the steps involved in vaccination and its associated costs and health benefits in order to identify the mechanisms that, when interrupted or delayed, may make getting vaccinated more difficult for hard-to-reach populations. This systems map helped to better elucidate where weak points may exist in the vaccination process, identify gaps in our understanding of the economics of vaccination, and help inform targeted interventions and policies to increase vaccination coverage in such populations (Cox et al., Citation2021). Therefore, we developed a systems map in order to better elucidate the challenges of communicating about the links between human activity, climate change and its effects, and identify potential solutions.

Methods

What Is a Systems Map?

A systems map is a diagram that visually represents all the components of a system and how they may interact with and affect one another (Mabry et al., Citation2022). Systems maps have been used to elucidate the systems involved with obesity, vaccination, and a number of other health and public health related issues (Barbrook-Johnson & Penn, Citation2021; Cox et al., Citation2021; Lee, Bartsch, et al., Citation2017; Mabry et al., Citation2010; Pronk et al., Citation2023; Scott et al., Citation2016; van den Akker et al., Citation2023). Participatory systems mapping is used when the emphasis is on stakeholder engagement and ownership, and the purpose is to include as much complexity as possible to fully capture the systems of interest (Barbrook-Johnson & Penn, Citation2021). Such an approach can be easy to use, practical, and flexible, while at the same time, can also provide rich insights accounting for the complexity of the system (Barbrook-Johnson & Penn, Citation2021; Bertscher et al., Citation2024). Since we aimed to be stakeholder-driven and generate an array of insights, we developed a systems map rather than using other methods such as focus groups, which can be less interactive and would not result in a diagram, as focus groups typically do not generate an outcome together (Stickdorn et al., Citation2018).

shows the conventions [derived from the Unified Modeling Language (UML) (Lucidchart, Citationn.d.-a, Citationn.d.-b)] that we used to develop this systems map. UML was used in the absence of other standard systems mapping conventions, as this has been used to describe processes and workflows in other fields such as business and healthcare (Kumarapeli et al., Citation2007; Luzi et al., Citation2019; Mincarone et al., Citation2018; Pecoraro & Luzi, Citation2022; Vasilakis et al., Citation2008). The convention consists of shapes that represent different components of the system (e.g., causes, effects, and factors that affect each) and arrows showing relationships and the direction of the cause and effects between these components. Additionally, we intentionally used reader-friendly language, rather than more technical systems modeling language, throughout the map so that it could be readily interpreted by a variety of audiences. This is especially important as climate change spans various disciplines and audiences (e.g., communications, climate scientists, researchers, general public).

Table 1. Systems mapping convention

The Systems Mapping Process

We used participatory systems mapping methods to develop the systems map (Barbrook-Johnson & Penn, Citation2022). We first decided on the aim of the map and then defined the system’s boundaries. This began with identifying the question of interest, “What are the unique challenges in communicating to the public about the causes and effects of climate change, including the impacts to human health?” To answer this question, we decided to develop a systems map to better understand the complex relationships between the causes and effects of climate change, impacts to human health, and communication challenges that arise from these factors. We collectively agreed to bound the systems map by focusing on developing a general representation of the processes of climate change, and then mapping the communication challenges that arise from communicating about these processes. Next, we used our academic and professional networks to identify climate change and climate communication experts and then contacted each expert via e-mail to request their participation in the systems mapping process. We chose the experts based on their demonstrated knowledge, experience and relevant research in the areas of climate change, environmental health, climate change communication, and public health communication, which we identified as critical perspectives for developing the map. For example, one participant had expertise in pollution and human health, including the role of climate change, which was an important perspective for representing the core causes and effects of climate change in the map. Another participant had expertise in health emergency preparedness and response and how to engage the public during public health emergencies, including climate change, which was a critical perspective needed to add communication challenges to the map. The other two participants had expertise in how individual characteristics and media habits influence how people respond to risks and challenges related to climate change as well as environmental health and environmental disease prevention with a focus on policy, research, risk assessment, and communication, respectively, which added additional perspectives important for identifying the various challenges that arise from communicating the processes and impacts of climate change. We then conducted one-on-one virtual sessions over Zoom with each of the four experts that agreed to participate to collect their feedback and collaboratively build the map in two portions. We conducted one-on-one sessions given restricted schedules among the experts and to avoid “group-think.” Multiple one-on-one sessions with various experts led to rich conversations and the map developing iteratively over time. First, we focused on the processes involved in climate change and its impacts on human health. Then, we identified the challenges faced when communicating with the public about these different processes involved in climate change and its impacts on human health.

The Processes of Climate Change Portion of the Systems Map

We first sought to establish a very general representation of the processes and components involved in climate change, starting with individual and collective human activity that contributes to climate change that impacts different parts of the environment and ending with the human health, societal, and economic effects that accrue as a result. The goal was not to represent every single mechanism in significant detail, but instead to create a framework visualizing the major causes and effects of climate change. This framework serves as a base to then identify the unique challenges that make communicating the causes and effects of climate change difficult, as well as the impact these challenges have on individual behavior and decision making related to climate change.

Our team developed an initial version of The Processes of Climate Change portion of the map and then held systems mapping sessions with experts to collect their feedback and refine this version. We began each systems mapping session with a brief explanation of the goal of our map and a walkthrough of the initial map. We prompted feedback on this portion by asking guided questions about the overall system of the major causes and effects of climate change that result in human health effects. Examples of such questions include:

  1. “Are the impacts of human activity on climate change clear and relevant, and are we missing any key ones?”

  2. “Are the direct environmental impacts of climate change clear and relevant, and are we missing any major ones?”

  3. “Are there any intermediary steps that we have not accounted for?”

  4. “Should we include specific health conditions (e.g., respiratory, weight-related) to represent human health effects (while avoiding drawing connections that are not definitive)?”

During the sessions, one team member led the discussion, another screenshared the map and made real-time edits based on the expert feedback, and a third took notes of the discussion. With real-time edits, experts were able to review the changes to ensure their input was correctly incorporated and provided a chance to further refine. When the expert was unable to schedule a virtual session, we accepted written feedback and responses to the guided questions via e-mail.

The Challenges of Climate Change Communication Portion of the Systems Map

Using The Processes of Climate Change part of the map as a base, we then sought to identify the specific elements that make it challenging to communicate each factor/process involved in climate change. The objective was not to represent the quality of the climate information itself or people’s biases that may impact their acceptance of the information, but rather to represent the challenges of communicating the factors/processes that lead to climate change and its ultimate impacts on the environment/atmosphere and human health.

We conducted subsequent feedback sessions with the experts on this portion of the map by prompting feedback with guided questions about what makes communicating each factor/process and their relationships in The Processes of Climate Change portion of the map challenging. Examples of such questions include:

  1. “In what ways is communicating the link between human activity and climate change difficult?”

  2. “Where do you see people most often not understanding climate information, and why do you think that is the case?”

  3. “What impacts of climate change seem unclear to people and why?”

Similar to the mapping sessions described above, we made real-time edits. Additionally, after each mapping session, we incorporated feedback into the systems map. We also applied the mapping convention shapes to each portion of the map and condensed the text within the shapes to be more concrete. While there were initial challenges among experts understanding the adapted UML convention, we reviewed the mapping convention () with each of the experts during sessions to ensure clarity, and adjusted the definitions as needed to foster a common understanding as we progressed with the mapping process.

Throughout this process, we consulted session notes to confirm that our edits between mapping sessions did not alter the intended meaning. We also consulted notes when there were discrepancies/inconsistencies among experts’ feedback. Our team collectively discussed how to reconcile these differences in terms of the relevance of the input to the scope of our map (e.g., we agreed to leave out factors beyond the scope such as potential solutions to overcome challenges and ways to mitigate climate change) and its applicability in communicating about climate change (e.g., we excluded inputs that pertained to climate change broadly, including attitudes toward climate change). We then discussed discrepancies with each expert during subsequent mapping sessions, reviewing the changes and rationale to collectively come to consensus on whether to keep/edit the inputs.

As part of this iterative process, we circulated each updated version of the systems map to the experts for them to review and send feedback to further refine the map (both prior to and after each session). The iterative process continued until our team reached a consensus with the experts that the systems map sufficiently represented the processes involved in climate change and its associated communication challenges.

Results

Map Overview

shows the resulting map. In the middle of the map, represented by gray and black shapes connected by solid arrows, is The Processes of Climate Change portion of the map, which depicts the major steps/processes linking human activity to climate to the resulting effects on the environment/atmosphere and human health. In The Challenges of Climate Change Communication portion of the systems map, emanating from each of these steps/processes (white shapes connected by dotted arrows) are challenges/issues in capturing and communicating information about each of these steps/processes (gray shapes) and how such challenges/issues then affect or result in human behaviors/decision-making (in diamond shapes) in ways that may prevent proper action. lists the 27 different climate communication challenges identified by the map, and elaborates further on what each one represents with a description and example for each.

Figure 1. Systems map of the unique challenges to communicating climate-related information.

Figure 1. Systems map of the unique challenges to communicating climate-related information.

Table 2. Climate communication challenges and their potential effects on human behavior and decision-making

Themes Identified in the Systems Map

Our map revealed seven major themes related to the challenges of communicating about climate change: (1) lack of data that quantifies relationships within the climate change process; (2) lack of integrated databases across multiple sectors; (3) difficulty communicating about processes that take time to evolve, emerge, and manifest; (4) lack of readily relatable and understandable climate lexicon; (5) the need to introduce climate-related concepts and language earlier in people’s lives and in the education system; (6) different disciplines that cover climate change-related processes work in silos; and (7) the need for new methodologies to describe the climate change process.

Discussion

As indicated earlier, there is substantial evidence that current approaches to communicating the causes and effects of climate change have not been working. Determining how to change and improve such communication can be difficult due to the complexity involved. A systems map can help visualize and better understand and address such complexities and provide decision makers with a tool to use to address the challenges of climate change communication. For example, decision makers can use this systems map to understand where gaps in communication may exist, which communication approaches may be more impactful (e.g., are linked to multiple challenges), which should be prioritized, where more data collection may be most helpful, and how different communication challenges may have reverberating or indirect effects on the rest of the system. Ultimately, such a map can serve as a blueprint for systems models which can then be used to better design tailored and proactive communications about climate change (Lee et al., Citation2023; Lee, Bartsch, et al., Citation2017; Lee, Mueller, et al., Citation2017; Mabry et al., Citation2022). Further, our systems map helped identify many of the challenges in communication and revealed seven recurring themes.

One recurring theme is the lack of adequate data to characterize and quantify many of the key factors and processes. Thus, a priority would be to substantially increase the amount and type of data collected and improve its availability and presentation to the general public, the media, and other communication professionals. This would take more resources and greater investment (Rössler et al., Citation2019). One challenge is the data needed crosses multiple scales and scientific disciplines, which calls for greater collaboration across sectors and funding sources. It should be noted, however, that providing individuals with more knowledge alone does not necessarily lead to behavior change (Moser, Citation2010, Citation2016). Thus, targeted communication strategies will also be needed to impact behavior change.

A second recurring theme is the lack of databases that are integrated and shared across sectors, populations, and geographic locations (Gupta, Citation2007; Kirton & Warren, Citation2021). Since the processes involved in climate change cut across many different areas (Khanal et al., Citation2024), the lack of such databases prevents a more holistic, broader picture of what is happening and how different parts of the systems involved affect each other.

A third recurring theme is the difficulty in communicating about processes that take time to evolve, emerge, and manifest. Communication would have to overcome the tendency of people to focus much more on short-term, more immediate effects even when longer-term effects may ultimately have greater impact. An example is the news cycle that highlights a current event for a limited amount of time before it is supplanted by another current event (Jones, Citation2014). This is complicated by the fact that brief “breaking news” snippets have been replacing longer form and evergreen journalism on a number of media platforms. New emerging technologies and multimedia (Roosen et al., Citation2018) should be leveraged for a shift to a new paradigm where the media informs the public on the longer-term effects from climate change, not just acute, one-off events.

A fourth recurring issue is the dearth of lexicon/language that is more readily relatable to and understandable by the general public (Degeling & Koolen, Citation2022; Fenton, Citation2022; Moser, Citation2010). Many terms such as “100 Year Storm” may sound too technical, and at this point, is not an accurate description, and terms such as “global warming” may belie the dire effects of climate change for humans. This challenge is compounded by socio-cultural differences in how risk and information is perceived and acted upon (Adams, Citation2021; Marshall et al., Citation2019). A closer look at the psychological and sociological effects of different terms and developing a new lexicon that’s applicable across broader society can better facilitate communication (Appelgren & Jönsson, Citation2021; Harker-Schuch, Citation2019).

This raises a fifth recurring theme: the need to introduce the climate-change related concepts and language earlier in people’s lives and progression through the education system so that people are more familiar with them (Harker-Schuch, Citation2019). People may be more familiar with science fiction films’ portrayal of earth and the language used in their dialogs to describe earth’s systems rather than the concepts and terms used in climate science. For example, terms like industrial rain referenced in the popular sci-fi movie, Blade Runner, may be more familiar to the general public than climate science terms like ocean circulation, ocean acidification, and climate mitigation, even though these terms and concepts have greater relevance and real-world application.

A sixth recurring theme from the systems map is the siloing of different disciplines that cover climate change-related processes. As the map shows, these processes span many different areas ranging from meteorology to agriculture to different parts of the media (e.g., publications can arbitrarily separate journalists who cover flooding from those who cover the spread of infectious disease). Each can have a different entrenched culture, language, and approach to problem solving with potentially limited interactions due to historical rather than scientific reasons (Machalaba et al., Citation2015). This in turn can hinder collaboration and communication. Increased interaction, more shared language, and the emergence of hybrid individuals who cross disciplines and sectors can help break down such siloes.

Finally, the seventh theme identified is that there is a need for new methodologies to be used to describe and analyze the connections between human activity, climate change, and the impact on humanity as traditional methods alone have fallen short (Moser, Citation2010). Systems approaches can help public health decision makers, climate scientists, and climate change communication experts better understand the complex system that comprises communicating about climate change, including its global scope, heterogeneous patterns, complex causes, and wide-ranging impacts, and address these systems at many levels, ranging from the individual to the societal scale (Cox et al., Citation2021; Lee et al., Citation2023; Lee, Bartsch, et al., Citation2017; Mabry et al., Citation2022). Systems modeling has been used to study effective communication in other fields (Bruckmann, Citation1978; Fahey et al., Citation2003; Gillard & Johansen, Citation2004; Mekala et al., Citation2022), and these model frameworks may be adapted to climate change. One such example is the En-ROADS simulator (Climate Interactive, Citationn.d..), which simulates the impact of various climate change policies on climate change and its factors/outcomes (e.g., energy prices, temperature, air quality, sea level rise).

Some of the root causes of these themes and challenges have been noted in previous work, such as climate change’s impacts spanning geographical locations and populations and difficulty communicating complexity (Leal Filho et al., Citation2019; Moser, Citation2010). However, our map provides a visualization of causal pathways and how they are related to each other in the system as a whole.

During the mapping process and subsequent interactions, the experts expressed that this method was new to them and they found its iterative process interesting, insightful, and engaging. They also noted that through interactive conversations they became more familiar with the method and could progressively see their feedback reflected in the map as it became more and more complex across sessions. Experts also expressed that this allowed for a process-driven training in systems mapping and more effective engagement between the team and the experts.

Limitations

A systems map, like any conceptual model, is a simplification of real life and thus may not capture all factors/processes, effects, and elements. While our map attempts to identify most of the important factors involved in how climate change arises and impacts human health, some factors may have been missed. For example, we did not include feedback loops that may exist (e.g., changes in temperature/precipitation may change individual action), which are often present in complex systems and may offer potential intervention points in the system. Future iterations of the map could add such feedback loops. This map does not attempt to identify which links or relationships within the map may be more important than others, as they are all assigned equal weight. Also, our map intentionally aims to be generalizable across multiple populations, but contextual factors could influence the prioritization of factors/processes and their relationships in the map. Further, our map captures discussions with a limited number of climate change communication experts and may not capture all opinions on the topic. Since participatory systems mapping brings together the ideas of different experts, the resulting systems map may look different had different experts participated. It may have also looked different if it had been created in group sessions as discussions may lead to collective understanding and new ideas; however, multiple iterations meant experts saw the feedback/inputs from others and they were able to build upon and provide further input/feedback. Further, our systems mapping sessions did not include input from non-experts or the general public, thus it may be missing some perspectives. Future iterations of the map can include other experts and non-experts to account for additional perspectives. Lastly, there were certain theoretical ideas related to how communicating climate change is difficult (e.g., the politicization of climate change, climate fatalism leading to inaction) that arose in discussions with climate change communication experts. While these are important overarching challenges to communicating climate-related information, we focused the map on concrete communication challenges related to the specific processes involved in the causes and effects of climate change.

Conclusion

Current approaches to communicating about climate change and its impacts on human health may be overlooking unique challenges. Through systems mapping, we can elucidate the factors and processes involved in climate communication, identify the different communication challenges, and develop enhanced approaches that more effectively communicate climate-related information. Such systems approaches are, in fact, essential to understanding and improving climate communication, otherwise new strategies may continue to overlook these challenges.

Acknowledgments

This work was supported by the Agency for Healthcare Research and Quality (AHRQ) via grant 1R01HS028165-01, the National Science Foundation proposal number 2054858, the National Institute of General Medical Sciences as part of the Models of Infectious Disease Agent Study network under grants R01GM127512 and 3R01GM127512-01A1S1, NIH Common Fund’s Nutrition for Precision Health, powered by the All of Us Research Program and the National Center for Advancing Translational Sciences of the NIH through Award Number U54TR004279, and by the City University of New York (CUNY) in support of the Pandemic Response Institute (PRI). Statements in the manuscript do not necessarily represent the official views of, or imply endorsement by, the National Institute of Health, AHRQ, the US Department of Health and Human Services, CUNY, or the PRI.

Disclosure Statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The work was supported by the Agency for Healthcare Research and Quality [1R01HS028165-01]; National Center for Advancing Translational Sciences [U54TR004279]; National Institute of General Medical Sciences [R01GM127512, 3R01GM127512-01A1S1]; National Science Foundation [2054858]; CUNY in support of the Pandemic Respsonse Institute (PRI).

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