Low factual understanding and high anxiety about climate warming impedes university students to become sustainability stewards: An Australian case study

Sebastian Pfautsch (Hawkesbury Institute for the Environment and School of Social Science and Psychology, Western Sydney University, Penrith, Australia)
Tonia Gray (Centre for Educational Research, Western Sydney University, Penrith, Australia)

International Journal of Sustainability in Higher Education

ISSN: 1467-6370

Article publication date: 6 November 2017

4749

Abstract

Purpose

This study, from Western Sydney University, aims to assess the disposition of students towards climate warming (CW) – a key component of sustainability. CW is a global reality. Any human born after February 1985 has never lived in a world that was not constantly warming, yet little is known about how higher education students perceive their future in a warming world.

Design/methodology/approach

An online survey, split into three parts, was used to deliver benchmark data on (I) personal information, (II) factual knowledge and (III) sentiments related to CW.

Findings

Gender and age of students significantly influenced their perception of CW. While self-rated understanding of CW was generally high, factual knowledge about CW was low. Few students recognized that CW was already under way, and that it was mainly caused by human activity. The most prominent emotions were fear, sadness and anger, foretelling widespread disempowerment and fear for the future.

Research limitations/implications

The study was based on a single dataset and survey response was relatively low. However, respondents mirrored the composition of the student community very well.

Originality/value

This is the first study revealing large psychological distance to the effects of CW in university students from Australia. Combined with the impression of despondence, the present study suggests that higher education in Australia, and possibly elsewhere, is not providing the prerequisite tools tomorrow’s leaders require for meeting societal, environmental and economic challenges caused by CW. Practical ways to erase these blind spots in sustainability literacy are provided, drawing upon established and novel concepts in higher education.

Keywords

Citation

Pfautsch, S. and Gray, T. (2017), "Low factual understanding and high anxiety about climate warming impedes university students to become sustainability stewards: An Australian case study", International Journal of Sustainability in Higher Education, Vol. 18 No. 7, pp. 1157-1175. https://doi.org/10.1108/IJSHE-09-2016-0179

Publisher

:

Emerald Publishing Limited

Copyright © 2017, Sebastian Pfautsch and Tonia Gray

License

Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at: http://creativecommons.org/licences/by/4.0/legalcode


1. Introduction

Scientific consensus that climate change is affecting the Earth system in multiple ways has long been reached (Cook et al., 2015; Frank et al., 2015; Walther et al., 2005). The resultant climate warming[1] (from hereon abbreviated “CW”) is irreversible and mostly a result of human activity (IPCC, 2014; Solomon et al., 2009). Global average surface temperatures in 2016 were the highest, and the five-year interval 2011-2015 was the warmest since recording of temperature data started 160 years ago (WMO, 2015). Based on global, long-term temperature observations (NOAA, 2014), any human born after February 1985 has never experienced a cooler-than-average month in their entire life. This means that in 2015, more than 3 billion people (CIA, 2013) have never lived in a world that is not continuously warming. In Australia, this equates to 41 per cent of the population, or 9,730,000 individuals that are aged 30 years or younger (Australian Bureau of Statistics, 2015). It remains elusive, how growing up with increasing scientific certainty that planet earth is warming, affects the worldview of young people.

Effects of CW are highly complex, diverse and impact all humans, regardless of age. Effects can be direct, such as rising sea level and associated loss of habitat (Alongi, 2015; Lovelock et al., 2015), have a negative economic impact by means of losses in agricultural production (Kurukulasuriya and Rosenthal, 2003) or promote arrival of animals and plants that were formerly uncharted in a particular climate zone (Root et al., 2003); not to mention the risk of species extinction (Urban, 2015). Many other psychological, socio-cultural, economic, geopolitical and biological effects are described in the vast literature available about the topic (e.g. Pfautsch et al., 2010a, 2010b; Pfautsch and Adams, 2013; Drake et al., 2015).

To initiate a sustainable and enduring response to these and other effects of CW, the prerequisite for personal and immediate experience is needed (Akerlof et al., 2013) to minimize “psychological distance” (sensu McDonald et al., 2015). The lack of a perceived direct threat was suggested to result in a reduced aptitude for taking action and/or adapting to effects of CW (Lorenzoni et al., 2006; Newell et al., 2014; Weber, 2006, 2010). However, for the vast majority of individuals of any age group, it is almost impossible to immediately and directly experience CW because of the slow increase and natural variability of global surface temperatures (Hulme, 2009). Knowledge about principles of sustainability and also CW is primarily gained from experts, not by personal experience (Cortese, 2003; Sundblad et al., 2009). Additional factors such as, but not limited to, individual psychological wellbeing, socio-cultural conditions and economic prospect (see Clayton et al., 2015) may also influence how threats and opportunities related to CW are perceived. Political partisanship (Nisbet et al., 2015), even gender (Bliuc et al., 2015), emotional affiliation (Gray and Birrell, 2015; Gray and Thomson, 2016) and religious believes (Murphy et al., 2016) can further influence behavioral change to combat CW and adopt environmental stewardship.

A core argument to foster behavioral change that assists in slowing CW is the moral obligation to preserve living conditions and natural resources for future generations. This argument overlooks that CW is taking place today. Cortese (2003) argues that actions of past graduates from the best colleges and universities around the world have led to the present situation. Although Cortese’s argument leaves out other attributing factors, it puts higher education into the spotlight of the discussion. Given that most of today’s university students grew up in a constantly warming world, it also raises the question of how higher education contributes to increase the chance that graduates feel empowered to implement wider behavioral changes that are required to limit CW. Here, effective education on principles of sustainability plays a key role (Dmochowski et al., 2016).

It can be assumed that there is a high likelihood for today’s university students to become leaders of tomorrow in our societies (politically, economically, etc.). In these prospective roles, they can become guardians of sustainability if relevant knowledge is provided and student’s capacity for critical analysis, particularly systems thinking (Wiek et al., 2011) is stimulated. The importance of knowledge and education in taking action against CW has been documented (Lazo et al., 2000; O’Connor et al., 1999, 2002). Yet, to effectively engage students in curricular activities that foster their sustainability literacy, it is important to first understand their current sentiment and knowledge of CW. Armed with this information, the higher education industry can develop tools (e.g. cross-disciplinary lectures, degrees, summer schools and research emphasis) that enable students to meet challenges in their forthcoming leadership roles. As the number of students enrolling in higher education institutions is increasing worldwide, the urge for providing future-proof education is rising.

This is particularly important for Australia, the driest permanently populated continent. Besides shared global effects of CW, Australia experiences climate extremes such as droughts, floods, hailstorms and heat waves on an annual basis. These events are forecasted to further increase in their frequency (Hennessy, 2011; IPCC, 2014). Recent surveys documented that more than half of Australian participants regarded CW as a “serious and pressing problem” (Oliver, 2015, p. 3) and have personally experienced negative effects of climate extremes (Leviston et al., 2015). Effects of the predicted increase in climate-driven calamities in Australia – and possibly elsewhere – include reduced availability of potable water, negative effects on biodiversity, ecosystem resilience and tourism, increased frequency of severe bush fires and loss of agricultural productivity, to name a few (Garnaut, 2008; Hennessey, 2011). These effects are likely to cause complex, yet unpredictable societal impacts. Young Australian adults must be provided with future-proof education that delivers the tools necessary to identify and manage these impacts.

A number of studies have evaluated how young American adults that grow up in a warming world perceive their future (Cordero et al., 2008; Feldmann et al., 2010; Wachholz et al., 2014; Wilson and Henson, 1993). These surveys revealed unanimously that young Americans were surprisingly disengaged and disconnected with the topic. Even after participation in science courses that dealt with concepts and consequences of CW, misconceptions remained and personal engagement remained low (Cordero et al., 2008). These observations from the USA could be interpreted as testament for an alarming shortcoming in higher education, in particular for provision of effective sustainability literacy. It is currently unknown if a similar situation exists in Australia and engagement and competency of university students in topics related to CW remains underdeveloped. This fact provided the impetus for the present study.

Centered around CW, the aim of the present study was as follows:

  • to identify current attitudes among metropolitan university students; and

  • to assess how gender and age influence their views.

Very little is known about how gender and age of young adults impact cognition of CW (Arona-Jonsson, 2011; Bliuc et al., 2015; Feldmann et al., 2010; Wachholz et al., 2014), yet such information can be used to increase the effectiveness of university education. Based on widespread personal experiences and concerns related to CW in the Australian society (Leviston et al., 2015; Reser et al., 2012), it was hypothesized that:

  • Factual knowledge of university students about CW is proficient and does not differ among gender or age group.

  • If students think their life would be affected by CW, then their motivation to take action against increasing CW is high.

2. Material and methods

This study encompassed an online survey to gain insights about the cognition on CW of university students. The survey was rolled out electronically across the Western Sydney University (WSU), one of five universities in the Greater Sydney Region. WSU was founded in 1989 and sources the majority of its students from a region to the South-West, West and North-West of metropolitan Sydney, Australia. In 2014, this region had a population of 2.12 million, and added social, economic and cultural significance to the state of New South Wales due to its rapid development (Montoya, 2012). The population of this region is known to be cosmopolitan and multicultural. In 2014, 32,941 full-time equivalent students were enrolled, and 9,029 completed their studies on eight different campuses. About one-eighth were international students, the vast majority was under 25 years of age and 60 per cent of the students were the first in their family to attend university. WSU belonged to the top 2 per cent of universities worldwide (2014 Times Raking). According to the Excellence of Research Assessment 2015, 80 per cent of research at WSU was ranked “world standard” or above, signifying the competitive study environment at WSU.

2.1 Survey structure and content

Following approval (Project Approval Number H11133) by the Human Research Ethics Committee of WSU (EC00314), an invitation to participate in an online survey was sent electronically to the students in June 2015 through the Academic Registrars Office. The survey was accessible through computers, tablets and mobile phones for four weeks. It was anonymous and originally consisted of 19 questions that related to CW. Here we excluded one question (What degree are you enrolled in?), as no trends were found in this specific data set. The remaining list of 18 questions and possible answers are provided in Figure 1. We used the works of Leviston et al. (2015) and Feldmann et al. (2010) as a guideline for formulation of questions, allowing cross-comparisons of focus groups. The structure of the survey was divided into three sections. The first section consisted of three questions about the student’s age, gender and migration background. The next nine questions established the standard of knowledge; the final six questions assessed perceptions about CW. A range of inquiry techniques was used, including rankings, multiple choice and free text. The survey was constructed using a free online platform (www.qualtrics.com).

2.2 Demographic background of participants

A total of 143 students participated in and 123 completed the survey (response rate of 0.005 per cent). The average age, gender mix and migration background of participants was composed of a representative cross-section of the student body at WSU. In 2014, 67 per cent of WSU students were younger than 25 years of age, of which 55 per cent were female and 45 per cent male. Age of survey participants was capped at 50 years and average age of participants was 25.2 years, with 17 and 49 years being absolute minimum and maximum age, respectively; 51 per cent were 22 years of age or less. Participants of this group were termed “younger students”, while those 23 years of age and older were termed “older students”.

More female (n = 76 [62 per cent]) compared to male students (n = 47 [38 per cent]) participated. Young female students represented the largest cohort (37 per cent), followed by older female students (25 per cent), older male students (24 per cent) and younger male students (14 per cent). Reflecting the multicultural nature of the WSU student cohort, 52 per cent of the participants indicated that their parents were born in Australia, 41 per cent had parents born outside of Australia and one student was a recent migrant. Students whose parents were not born in Australia were slightly younger (24.4 years) compared to students whose parents were born in Australia (25.7 years). The male/female ratio in both student groups was about 1:2; the proportion of slightly younger compared to older students was similar in the two groups.

2.3 Data analyses

Pearson’s product moment correlation matrices were used to identify significant effects and their direction on selected variables. Differences between male and female as well as younger and older students in their confidence of understanding the underlying mechanisms that lead to CW were assessed using parametric and non-parametric (Kruskal–Wallis ANOVA) tests. One-way ANOVA was used to evaluate students confidence in the sources of information (politicians, climate scientists, etc.) and their self-rated understanding of the mechanisms underlying CW and other variables. A post-hoc test (Levene’s test for equality of variances) was used to cross-check significant affects. When assessing nested effects of variables (e.g. effect of gender on perception that CW effects personal life), Chi-square (χ2) tests were used. For statistical analyses, JMP® (V11, SAS Institute Inc., USA) and SPSS® (V21.0, IBM Corp., USA) software packages were used. Figures were produced using AabelTM (V2.0, Gigawiz Ltd Co., USA).

3. Results

3.1 Self-rated understanding

The self-assessed confidence in understanding the underlying mechanisms of CW was significantly greater (t(119) = 2.08, p <0.05) in male (M = 6.56, SD 2.20) compared to female (M = 5.74, SD 2.02) students (Table I). No such difference existed between younger and older students (t(119) = 0.38, p >0.05) or those with and without a more recent migration background (t(118) = −1.05, p >0.05). Within the group of male students, those ≤ 22 years of age were most confident (M = 6.71, SD 2.52), and close to one-third of participants in that group rated their understanding with the highest possible score of 10. Older male students as well as all female students were more moderate in their self-rating (score of 10: 7 per cent older male, 2 per cent younger female and 0 per cent older female students).

3.2 Factual knowledge

The vast majority of students (89 per cent) had first heard about CW prior to enrolling in university, either in primary or high school. The remaining students, all 30+ years of age, had learned of CW through media or university. About half of the students (53 per cent male and 46 per cent female) were not able to name a key event in the previous year that was related to CW. Events that were listed by students fell into four common themes, listed by prevalence: I. Increasing rates of polar ice melt and subsequent rise in sea level, II. Local and global events related to extreme weather or natural disasters (e.g. Amazonian drought, increased risk of bushfires, Super-typhoon Haiyan), III. General warming of earth’s climate, IV. Policy changes or political events (e.g. governmental statements to reduce dependency on coal, G7 summit, EarthHour). The direct relatedness to CW of numerous answers falling under Categories II and IV was fuzzy.

All students, except two males, acknowledged the existence of CW. A large proportion of both male and female students correctly believed that CW was mainly caused by human activity (Figure 2). However, a significantly larger group of female students compared to male students (both age cohorts) thought that a mix of human activities and natural processes caused CW. While no participant thought that CW was the exclusive result of natural processes, only 13 per cent male and 12 per cent female students saw CW entirely as a consequence of human activity (Figure 2).

Given that the majority of students identified human activity as foremost cause for CW, it was surprising that nearly none of them agreed that there was a connection between CW and burning of fossil fuels. Only three female students agreed on this causal nexus. Equal proportions (35 per cent) of younger and older male students stated that CW was not happening today and projected its occurrence into the near future (2030-2050). Compared to male students, significantly less female students did not think CW was happening today (22 per cent younger, 16 per cent of older students; p < 0.001). Only five students indicated that CW was happening now and in the future by selecting multiple answers, including “now”.

The response when asked how warm the Sydney region will be in 50 years differed significantly between genders (χ2(5) = 19.90, p < 0.05, see Table II) and age groups (young males vs young females = p < 0.002; older males vs older females = p < 0.005). Female students, independent of age, thought that average temperatures would be +5°C or more compared to today (Table II), whereas most male students thought that temperatures would increase by +2.5°C. Only one female and two male students thought there would be no change in temperatures.

One quarter of students identified the International Panel of Climate Change (IPCC) correctly as world authority on CW effects. Other options to choose from where the UN (17 per cent), IMF (0 per cent), UNHCR (6 per cent) or don’t know (46 per cent). When split by gender, only one-third of the male students (7 per cent younger, 24 per cent older students), and one-fifth of the female students (10 per cent younger, 11 per cent older students) correctly identified the IPCC. The overall likelihood to correctly identify the IPCC was positively and significantly related to the participant’s self-rated understanding of CW mechanisms (p <0.05, Table III).

When asked about the credibility of information on CW, the majority of both male and female students – regardless of age – ranked climate scientists and popular science journals (e.g. National Geographic and Science Today) as most credible sources (Table IV). Other sources, such as print media (e.g. Sydney Morning Herald and New York Times) or social media (e.g. Facebook and Twitter) were identified as much less credible sources. Politicians were the least credible source of information on CW. Even though the latter three sources were associated with the lowest credibility, all three were significantly and positively correlated with self-rated understanding of participants (Table III), indicating that participants with a higher self-rated understanding were more likely to also score credibility of print and social media and politicians higher. No such trend was found for credibility of climate scientists or popular science journals.

3.3 Perceptions

Students regarded that Australians cared little or some about CW, only 3 per cent thought that Australians cared a lot. At the more personal level, 85 per cent of students indicated that their life would be affected by CW in the future. This expectation differed significantly between genders (χ2(1) = 8.95, p <0.05, Table V), with female students rating odds that their lives will be affected by CW 8.34-times higher compared to their male counterparts. Surprisingly, students that thought their lives would not be affected thought their understanding of underlying mechanisms of CW was relatively high (mean score: 7/10).

The widely shared anguish is further reflected in fear being the most common emotion (n = 58/123) of participants when thinking how CW will impact their future, followed by sadness (n = 50/123), anger (n = 40/123), despair (n = 32/123) and remorse (n = 26/123) (multiple selections were possible; Figure 3). While only three participants selected surprised, 21 opted to have no emotion when thinking about CW. Response ratios for fear, sadness, anger, despair and remorse were generally higher for young female compared to young male students (Figure 3). However, younger female and older male students generally scored higher response scores than young male and older female students. A clear gender difference was only prevalent for the choice no emotion, being selected by nearly twice as many male than female students (Figure 3).

The question if participants personally think they can change the course of CW was answered by 51 per cent of all participants with “no”. This group consisted equal proportions of younger and older males (61 per cent each) and older females (64 per cent). When asked for a reason, the majority stated that their individual contribution toward change would have no effect. However, when provided four choices how to deal with CW (1. Can’t do anything, 2. Mitigate effects, 3. Adapt to effects, 4. Get others to deal with it; see Q16 in Figure 1), only 5/123 remained convinced that nothing could be done. Younger female students appeared more positive toward their own contribution, and 47 per cent of that group thought their personal actions can change the predicted course of CW. A smaller proportion of the participants belonging to each of the remaining three other groups (older female: 36 per cent, younger and older males: each 39 per cent) were of the same opinion. Regardless of gender and age, students thought that mitigation of CW is more important compared to adaptation or waiting for others to take action.

Suggestions for personal actions that help limit CW were (in order of frequency):

  • Increase power generation from renewable sources (particularly solar);

  • Increase waste recycling;

  • Increase education of the public on sustainable living;

  • Increase use of public transport;

  • Reduce use of fossil fuels (particularly coal); and

  • Elect more politicians that actively endorse actions that aim to limit CW.

Somewhat surprisingly, no student suggested that provision of knowledge on impacts and mitigation of effects of CW in their university curriculum could be improved.

4. Discussion

Results presented here unveil for the first time that factual knowledge and emotional perception of Australian university students on CW is significantly influenced by gender and age. This stands in contrast to a wider cross-section of the Australian population (Leviston et al., 2015) and refutes the first hypothesis. Among students of a metropolitan Australian university, the present study detected significant differences in self-rated understanding and factual knowledge of CW between age and gender groups. Irrespective of any grouping, most students share the understanding that CW is mainly a result of human activity, and to a lesser part that of natural processes. This is in agreement with other studies from Australia (Reser et al., 2012; Leviston et al., 2015). In addition, both the present study and that of Leviston and colleagues (2015) found similar rankings in credibility of information provided by a range of sources. Climate scientists were always the most, politicians and social media the least credible source. The low credibility score for social media was surprising, given that participation of scientists in blogs and other digital platforms has increased (Pearce et al., 2015).

The understanding of CW by laypersons across the world has been described to be vague and with a high level of confused facts (Böhm and Pfister, 2001). Risks associated with false confidence in personal knowledge about CW have been identified (Sundblad et al., 2009). These studies provided evidence that high confidence, paired with low factual knowledge, bared an increased risk to deny learning of new knowledge. In this light, the level of inconsistency between self-rated understanding (high) and factual knowledge (low) of Australian university students on CW was surprising. A striking example for divergence of thinking to know and actually knowing is the unawareness of nearly all students that burning of fossil fuels is largely contributing to CW.

While the present study found an imbalance between assumed and actual knowledge, other studies found a divergence between intention and action related to combat effects of CW (Whitmarsh, 2009b). We argue that both types of disagreements are intertwined as both limit the capacity to initiate change. Such change requires making decisions, and specific knowledge is necessary to inform these decisions. Lazo et al. (2000) have provided evidence that increased knowledge about CW leads to greater public support of CW-related policy changes. These observations underpin the importance of knowledge transfer by experts but also highlight that the issue of assumed and factual knowledge must be broached before new information can be learned.

The expectation of students to live in a warmer world reflects a broader understanding of the Australian public (Leviston et al., 2015). The present study provides an interesting nuance of that expectation by revealing that a large proportion of male and female students are expecting higher temperatures by 2050 (+5°C or more than currently predicted). Depending on underlying emission scenarios, available climate projections by CSIRO indicate that in 2090 (40 years later!), temperatures in the Sydney region could increase between 1.3°C and 2.5°C (intermediate emission scenario) and 2.9°C and 4.6°C (high emission scenario). Hence, students expect to live in an even more hostile environment than currently predicted. This expectation fits well with widely shared negative emotions of fear and sadness and the overestimated level of factual knowledge. Moreover, it promotes the type of inaction that seems widespread about the participants of the current study: the majority opted for mitigation as most auspicious strategy to combat CW, but more than 50 per cent of participants did not think they can personally contribute to the process. Based on this result, the second hypothesis must be rejected, leading to the conclusion that many students have not yet noticed how their personal lifestyles actively contribute to CW.

In this context, it is important to realize that current knowledge on pro-environmental attitudes and behavior of individuals contains only scant ideas of why individuals take actions that assist in mitigating CW (Semenza et al., 2008; Bernie, 2014). The few studies available on this issue have identified reduced self-awareness as principal constraint to defining and implementing effective strategies to mitigate CW (Whitmarsh, 2009b). Here higher education should play a more prominent role. Interdisciplinary lectures (Davison et al., 2014; Mobley et al., 2014; Rogers et al., 2015) and practical exercises (Savageau, 2013; Wiek et al., 2014) in science, technology, engineering and mathematics (STEM) teaching have been identified as tools that can help reduce this constraint by raising awareness of personal actions that impact CW.

Emphasis is put on STEM students, as their potential impact on society through technological innovation is most apparent. However, STEM students often lack exposure to humanities and social sciences where important principles of sustainability, including moral and ethical dimensions, are taught (Biedenweg et al., 2013). Hence, increasing sustainability competency, initiating personal action and reducing CW-related despondence of university students should be encouraged through teaching technical as well as ethical aspects of sustainability. Ideally, development of such novel coursework involves substantial participation of students through steering committees and discussion groups. Intense consultation with students was shown to increase effectiveness and uptake of the novel lessons (Wachholz et al., 2014).

For example, calculating personalized carbon emission budgets and or ecological footprint (Cordero et al., 2008) of students can be used to promote self-awareness. Other practical classroom examples that address relevant issues can be found in the literature (Bell et al., 2012; Jacobsen et al., 2012). Developing solutions for real-world scenarios, as well as using existing case studies have also been proven useful to raise self-awareness and improve sustainability literacy (Remington-Doucette and Musgrove, 2015). More palpable are courses on aspects of sustainability in engineering (i.e. industrial ecology), offered at under- and postgraduate levels at selected Australian universities (Biswas, 2011). Equally encouraging are developments for interdisciplinary teaching on topics related to climate change (Mobley et al., 2014; Rogers et al., 2015).

According to psychological research, risk is often assessed in emotional, rather than analytical context (e.g. Slovic and Peters, 2006; Finucane, 2008). This contention also applies to possible risks associated with CW (Leiserowitz, 2006; Smith and Leiserowitz, 2014). While negative emotions of students about their future entice to lethargy, they may serve as prerequisite for a more vigilant and thoughtful processing of available information (Finucane, 2008; Schwarz et al., 1991). Harnessing the dominance of negative emotions can be another tool in university lectures that aim to build a positive attitude toward conquering demands that arise when living in a warming world.

Similar to the current study, broader national and international surveys show that public awareness of threats related to or caused by CW is generally high (Leiserowitz et al., 2013; Leviston and Walker, 2012; Reser et al., 2012). Yet, the proportion of students that were unaware that CW is currently underway was startling. A possible explanation could be that these students have a high psychological distance to current effects because of living in a metropolitan setting. Surveys targeting metropolitan and rural universities could help distinguish the impact of location on psychological distance to CW.

The authors agree with Walther et al. (2005, p. 649) that “scientists need to get more closely involved in opinion-forming to influence more effectively future climate change decisions made by politicians and policymakers”. It is necessary to add that it appears equally important to disseminate scientific knowledge not only to the current but also to the next generation of decision-makers – our university students. Incorporating findings from psychological research on effects of CW on human wellbeing (Clayton et al., 2015) into university curricula to foster positive attitudes, rather than fear of the future of students should be promoted. Concepts to future-proof higher education are readily available (Cortese, 2003; Davison et al., 2014; Remington-Doucette and Musgrove, 2015). Results of the present study underpin two facts about university students in Australia:

  1. They feel powerless.

  2. They see the experts as the most credible source for information on CW.

The first fact has the potential to obstruct timely implementation of adaptation and mitigation strategies. The second fact opens opportunities to deliver novel lectures that engage students in developing necessary skills to become tomorrow’s leaders in their respective disciplines, with strong grounding in efficacy in promotion of sustainability.

4.2 Possible shortcoming of the study

If survey participation alone can be used to interpret the level of engagement with the wider topic of climate change, our low response rate would indicate very low interest by the student community of WSU. This stands somewhat in contrast to findings by Feldmann et al. (2010) that show high engagement of young people in the topic. Possible explanations of our low return rate include survey fatigue (students regularly receive invitations to participate in surveys), topic fatigue (omnipresence of CW in mainstream media leads to reduced interest) or plain apathy. In addition, “Ecophobia” (i.e. prevention of action against CW because the enormity of the problem is overwhelming; sensu, Sobel, 2007) could have also contributed to the active decision of students to not participate in the survey. Currently, the authors are unable to discern the actual reason.

5. Conclusions

CW is happening today and will irreversibly continue to affect human life. Arguably, today’s university students show the greatest potential to become tomorrow’s sustainability leaders of society. In their future roles, they should have the motivation and capacity for critical thinking to initiate action for limiting, mitigating and adapting to CW. The present study shows that awareness of problems associated with CW in this group of (mostly) young people is high, yet so is their feeling of incapacity. The arguably low response rate of the survey calls for careful interpretation, yet the clear combination of low factual knowledge paired with widespread despondence was pervasive. Based on findings of this study, educators should consider age- and gender-related differences in the perception of CW effects when developing and delivering effective teaching that aims to promote the principles of sustainability and environmental competency. For a considerable proportion, it is we, the academics that should provide students with the right tools to engineer their future. However, together, we co-construct knowledge by engaging in a process of reciprocity – as we, the teachers are as much students, as the students are teachers. The survey results document that today’s students require tertiary education that reduces apparent empathy and psychological distance to effects of CW. Possible ways forward include expanding offers on interdisciplinary courses, and practical, real-world scenario analyses with emphasis on systems thinking. Student surveys, similar to the one used here, can provide a positive stimulus for development of such novel coursework.

Broadcasting survey results can generate interest by students in the topic. This is owed to the aforementioned mechanism of using negative emotions – like fear and sadness – to instigate more open-minded processing of information. Using a unified survey format across universities would enable assessment of sustainability attitudes and motivations between metropolitan and rural students. If academia wants to sufficiently prepare the next generation of sustainability stewards, it must address these blind spots in higher education. Scientists lecturing in topics related to CW and sustainability education may have an arduous way ahead (Wood et al., 2016), and so do the students.

Figures

Complete online survey

Figure 1.

Complete online survey

Response ratio of male (solid; n = 47) and female (hatched; n = 76) students when asked to indicate which of the statements about the cause of CW is most correct (Question 8, see Figure 1). The correct answer is marked with an asterisk. Data were separated by age (black = students ≤22 years of age, grey = students ≥23 years of age)

Figure 2.

Response ratio of male (solid; n = 47) and female (hatched; n = 76) students when asked to indicate which of the statements about the cause of CW is most correct (Question 8, see Figure 1). The correct answer is marked with an asterisk. Data were separated by age (black = students ≤22 years of age, grey = students ≥23 years of age)

Response ratio for male (solid; n = 47) and female (hatched; n = 76) students when asked to select emotions that capture their state of mind about CW and their own future (Question 17, see Figure 1)

Figure 3.

Response ratio for male (solid; n = 47) and female (hatched; n = 76) students when asked to select emotions that capture their state of mind about CW and their own future (Question 17, see Figure 1)

Gender and age-cohort differences in response to Question 7 of the survey (see Figure 1)

Whole sample (n = 123) Male (n = 47) Female (n = 76) Younger (n = 63) Older (n = 60)
Q7: How would you rate your understanding of the underlying mechanisms that seem to lead to CW (1 = no understanding; 10 = highly detailed understanding)?
Understanding 6.04 (2.12) 6.56 (2.20) 5.74 (2.02) 6.11 (2.17) 5.97 (2.08)

Gender differences in responses for Question 11 of the survey (see Figure 1)

Same as today +1°C +2.5°C* +5°C > +5°C Not sure Total
Q11: On average, how much warmer do you think Sydney will be in 50 years?
Male 4.70 (2) 23.30 (10) 32.60 (14) 7.00 (3) 4.70 (2) 27.90 (12) 100.00
Female 1.30 (1) 13.30 (10) 26.70 (20) 26.70 (20) 22.70 (17) 9.30 (7) 100.00
Total 2.50 (3) 16.90 (20) 28.80 (34) 19.50 (23) 16.10 (19) 16.10 (19) (118)
Chi-square 19.90 p < 0.05
Note:

The correct answer is marked with an asterisk

Correlation matrix related to Questions 5, 7, 10 and 13 of the survey (see Figure 1)

1. 2. 3 4. 5. 6. 7. 8.
1. Understanding (Q7) 1
2. Politicians (Q5) 0.35** 1
3. Scientists (Q5) −0.08 −0.08 1
4. Print Media (Q5) 0.26** 0.40** 0.16 1
5. Social Media (Q5) 0.27** 0.40** 0.08 0.68** 1
6. Journals (Q5) −0.06 0.11 0.68** 0.23** 0.15 1
7. Authoritya (Q10) 0.21* 0.01 0.07 0.06 0.02 0.04 1
8. Affect (Q13) 0.15 −0.05 −0.47** −0.13 −0.06 −0.35** 0.10 1
Notes:

n = 123;

*p < 0.05,

**p < 0.01;

aThis item has been recoded as a dichotomous item representing the possibility of correctly (1) identifying IPCC as the world authority or not (0)

Gender and age-cohort differences in response to Question 5 of the survey (see Figure 1)

Whole sample (n = 123) Male (n = 47) Female (n = 76) Younger (n = 63) Older (n = 60)
Q5: Indicate how credible you think information about CW is from the following sources (1 = not credible; 10 = highly credible).
Politicians 2.69 (1.92) 2.74 (1.76) 2.66 (2.02) 2.73 (2.13) 2.65 (1.69)
Climate scientists 8.34 (2.32) 8.06 (2.74) 8.52 (2.02) 8.55 (2.19) 8.13 (2.46)
Print media 3.83 (2.25) 3.72 (2.40) 3.89 (2.17) 4.19 (2.23) 3.45 (2.23)
Social media 3.41 (2.44) 3.34 (2.65) 3.45 (2.31) 3.71 (2.62) 3.10 (2.21)
Science journals 7.94 (1.99) 7.64 (2.34) 8.13 (1.73) 8.24 (1.79) 7.63 (2.15)

Gender differences in responses for Question 13 of the survey (see Figure 1)

Yes No Total
Q13: Do you think that the life you will live in the future will be affected by CW?
Male 81.40 (35) 18.60 (8) 100.00
Female 97.30 (73) 2.70 (2) 100.00
Total 91.50 (108) 8.50 (10) (118)
Chi-square 8.95*
Note:

* p < 0.05

Note

1.

The term climate warming is used here to circumvent increasing discussion on the use of terminology in climate change-related questionnaires (Schuldt et al., 2015). Previous studies generated evidence that “climate change” is often understood as a natural phenomenon that has no personal commitment attached, whereas “global warming” is more personal, caused by human activity and associated with real events like melting of polar ice (Whitmarsh, 2009a).

References

Akerlof, K., Maibach, E.W., Fitzgerald, D., Cedeno, A.Y. and Neuman, A. (2013), “Do people ‘personally experience’ global warming, and if so how, and does it matter?”, Global Environmental Change, Vol. 23 No. 1, pp. 81-91.

Alongi, D.M. (2015), “The impact of climate change on mangrove forests”, Current Climate Change Reports, Vol. 1 No. 1, pp. 30-39.

Arona-Jonsson, S. (2011), “Virtue and vulnerability: discourses on women, gender and climate change”, Global Environmental Change, Vol. 21 No. 2, pp. 744-751.

Australian Bureau of Statistics (2015), Australian Demographic Statistics, June Quarter 2015, Commonwealth of Australia, Canberra, p. 64.

Bell, P.A., Romano, P.A., Benfield, J.A., Mace, B.L., Nurse, G.A. and Greene, T.C. (2012), “Classroom exercises and demonstrations on human and natural environment impact”, Ecopsychology, Vol. 4 No. 2, pp. 148-157.

Bernie, H. (2014), “The real reasons why people reduce their carbon footprints: what motivates adults in Western Sydney to take actions that help mitigate climate change?”, PhD thesis, Western Sydney University, available at: http://researchdirect.uws.edu.au/islandora/object/uws%3A22756

Biedenweg, K., Monroe, M.C. and Oxarart, A. (2013), “The importance of teaching ethics of sustainability”, International Journal of Sustainability in Higher Education, Vol. 14 No. 1, pp. 6-14.

Biswas, W.K. (2011), “The importance of industrial ecology in engineering education for sustainable development”, International Journal of Sustainability in Higher Education, Vol. 13 No. 2, pp. 119-132.

Bliuc, A.M., McGarty, C., Thomas, E.F., Lala, G., Berndsen, M. and Misajon, R. (2015), “Public division about climate change rooted in conflicting socio-political identities”, Nature Climate Change, Vol. 5 No. 3, pp. 226-229.

Böhm, G. and Pfister, H.-R. (2001), “Mental representation of global environmental risks”, Research in Social Problems and Public Policy, Vol. 9, pp. 1-30.

CIA (2013), The World Factbook 2013-2014, Central Intelligence Agency, Washington, DC, available at: www.cia.gov/library/publications/the-world-factbook/index.html (accessed 11 January 2016).

Clayton, S., Devine-Wright, P., Stern, P.C., Whitmarsh, L., Carrico, A., Steg, L., Swim, J. and Bonnes, M. (2015), “Psychological research and global climate change”, Nature Climate Change, Vol. 5 No. 7, pp. 640-646.

Cook, B.I., Smerdon, J.E., Seager, R. and Coats, S. (2015), “Global warming and 21st century drying”, Climate Dynamics, Vol. 42, pp. 2607-2627.

Cordero, E., Todd, A. and Abellera, D. (2008), “Climate change education and the ecological footprint”, Bulletin of the American Meteorological Society, Vol. 89 No. 6, pp. 865-872.

Cortese, A.D. (2003), “The critical role of higher education in creating a sustainable future”, Planning for Higher Education, Vol. 31, pp. 15-22.

Davison, A., Brown, P., Pharo, E., Warr, K., McGregor, H., Terkes, S., Boyd, D. and Aboudha, P. (2014), “Distributed leadership”, International Journal of Sustainability in Higher Education, Vol. 15 No. 1, pp. 98-110.

Dmochowski, J.E., Garofalo, D., Fisher, S., Greene, A. and Gambogi, D. (2016), “Integrating sustainability across the university curriculum”, International Journal of Sustainability in Higher Education, Vol. 17 No. 5, pp. 652-670.

Drake, J.E., Aspinwall, M.J., Pfautsch, S., Rymer, P.D., Reich, P.B., Smith, R.A., Crous, K.Y., Tissue, D.T., Ghannoum, O. and Tjoelker, M.G. (2015), “The capacity to cope with climate warming declines from temperate to tropical latitudes in two widely distributed eucalyptus species”, Global Change Biology, Vol. 21 No. 1, pp. 459-472.

Feldmann, L. Nisbet, M.C. Leiserowitz, A. and Maibach, E. (2010), “The climate change generation? Survey analysis of the perceptions and beliefs of young Americans”, Yale Project on Climate Change Communication, p. 23, available at: http://environment.yale.edu/climate-communication/files/YouthJan2010.pdf (accessed 23 October 2014).

Finucane, M.L. (2008), “Emotion, affect, and risk communication with older adults: Challenges and opportunities”, Journal of Risk Research, Vol. 11 No. 8, pp. 983-997.

Frank, D., Reichstein, M., Bahn, M., Thonicke, K., Frank, D., Mahecha, M.D., Smith, P., van der Velde, M., Vicca, S., Babst, F., Beer, C., Buchmann, N., Canadell, J.G., Ciais, P., Cramer, W., Ibrom, A., Miglietta, F., Poulter, B., Rammig, A., Seneviratne, S.I., Walz, A., Wattenbach, M., Zavala, M.A. and Zscheischler, J. (2015), “Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts”, Global Change Biology, Vol. 21 No. 8, pp. 2861-2880.

Garnaut, R. (2008), The Garnaut Climate Change Review: Final Report, Cambridge University Press, Cambridge, p. 635.

Gray, T. and Birrell, C. (2015), “Touched by the earth: a place-based outdoor learning programme incorporating the arts”, Journal of Adventure Education and Outdoor Learning, Vol. 15 No. 4, pp. 330-349.

Gray, T. and Thomson, C. (2016), “Transforming environmental awareness through the arts and place-based ecopedagogies”, Learning Landscapes, Vol. 9 No. 2, pp. 239-260.

Hennessy, K. (2011), “Climate change impacts”, in Cleugh, H., Smith, M., Battaglia, M., Graham, P. (Eds), Climate Change: Science and Solutions for Australia, CSIRO Publishing, Australia, pp. 45-58.

Hulme, M. (2009), Why We Disagree about Climate Change: Understanding Controversy, Inaction and Opportunity, Cambridge University Press, Cambridge, p. 432.

IPCC (2014), “Climate change 2014: impacts, adaptation, and vulnerability: Part B: regional aspects”, in Barros, V.R., Field, C.B., Dokken, D.J., Mastrandrea, M.D., Mach, K.J., Bilir, T.E., Chatterjee, M., Ebi, K.L., Estrada, Y.O., Genova, R.C., Girma, B., Kissel, E.S., Levy, A.N., MacCracken, S., Mastrandrea, P.R. and White, L.L. (Eds), Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, New York, NY, p. 688.

Jacobsen, S.K., Carlton, S.J. and Cameron Devitt, S.E. (2012), “Infusing the psychology of climate change into environmental curricula”, Ecopsychology, Vol. 4 No. 2, pp. 94-101.

Kurukulasuriya, P. and Rosenthal, S. (2003), “Climate change and agriculture: a review of impacts and adaptations”, The World Bank Environment Department Paper No 91, Washington, DC, p. 106.

Lazo, J.K., Kinnell, J.C. and Fisher, A. (2000), “Expert and layperson perceptions of ecosystem risk”, Risk Analysis, Vol. 20 No. 2, pp. 179-193.

Leiserowitz, A.A. (2006), “Climate change risk perception and policy preferences: the role of affect, imagery, and values”, Climatic Change, Vol. 77 Nos 1/2, pp. 45-72.

Leiserowitz, A. Maibach, E. Roser-Renouf, C. Feinberg, G. and Howe, P. (2013) “Global Warming’s Six Americas, September 2012”, Yale University and George Mason University, Yale Project on Climate Change Communication, New Haven, CT, p. 45, available at: http://environment.yale.edu/climate-communication/files/Six-Americas-September-2012.pdf (accessed 23 October 2014).

Leviston, Z. and Walker, I. (2012), “Believes and denials about climate change: an Australian perspective”, Ecopsychology, Vol. 4 No. 4, pp. 277-285.

Leviston, Z., Greenhill, M. and Walker, I. (2015), Australian’s Attitudes to Climate Change and Adaptation: 2010-2014, CSIRO, Canberra, p. 81.

Lorenzoni, I., Leiserowitz, A., Doria, M., Poortinga, W. and Pidgeon, N. (2006), “Cross national comparisons of image associations with ‘global warming’ and ‘climate change’ among laypeople in the United States of America and Great Britain”, Journal of Risk Research, Vol. 9 No. 3, pp. 265-281.

Lovelock, C.E., Cahoon, D.R., Friess, D.A., Guntenspergen, G.R., Krauss, K.W., Reef, R., Rogers, K., Saunders, M.L., Sidik, F., Swales, A., Saintilan, N., Thuyen, L.X. and Triet, T. (2015), “The vulnerability of Indo-Pacific mangrove forests to sea-level rise”, Nature, Vol. 526 No. 7574, pp. 559-563.

McDonald, R.I., Chai, H.Y. and Newell, B.R. (2015), “Personal experience and the ‘psychological distance’ of climate change: an integrative review”, Journal of Environmental Psychology, Vol. 44, pp. 109-118.

Mobley, C., Lee, C., Morse, J.C., Allen, J. and Murphy, C. (2014), “Learning about sustainability: an interdisciplinary graduate seminar in biocomplexity”, International Journal of Sustainability in Higher Education, Vol. 15 No. 1, pp. 16-33.

Montoya, D. (2012), “Western Sydney: an economic profile”, Briefing Paper No 6, NSW Parliamentary Research Service, p. 133.

Murphy, C., Tembo, M., Phiri, A., Yerokun, O. and Grummell, B. (2016), “Adapting to climate change in shifting landscapes of belief”, Climatic Change, Vol. 134 Nos 1/2, pp. 101-114.

Newell, B.R., McDonald, R.I., Brewer, M. and Hayes, B.K. (2014), “The psychology of environmental decisions”, Annual Review of Environment and Resources, Vol. 39 No. 1, pp. 443-467.

Nisbet, E.C., Cooper, K.E. and Gerrett, R.K. (2015), “The partisan brain: How dissonant science messages lead conservatives and liberals to (dis)trust science”, The Annals of the American Academy of Political and Social Science, Vol. 658 No. 1, pp. 36-66.

NOAA (2014), “Global analysis, May 2014”, State of the Climate Report, US National Oceanic and Atmospheric Administration, available at: www.ncdc.noaa.gov/sotc/global/201405 (accessed 1 May 2016).

O’Connor, R.E., Bord, R.J. and Fisher, A. (1999), “Risk perceptions, general environmental beliefs, and willingness to address climate change”, Risk Analysis, Vol. 19, pp. 461-471.

O’Connor, R.E., Bord, R.J., Yarnal, B. and Wiefek, N. (2002), “Who wants to reduce greenhouse gas emissions?”, Social Science Quarterly, Vol. 83, pp. 1-17.

Oliver, A. (2015), The Lowy Institute Poll 2015, The Lowy Institute for International Policy, Australia, p. 34.

Pearce, W., Brown, B., Nerlich, B. and Koteyko, N. (2015), “Communicating climate change: conduits, content and consensus”, Wiley Interdisciplinary Reviews: Climate Change, Vol. 6 No. 6, pp. 613-626.

Pfautsch, S., Gessler, A., Rennenberg, H., Weston, C.J. and Adams, M.A. (2010a), “Continental and local influences on hydrology of eucalypt-nothofagus ecosystems revealed by δ2H, δ13C and δ18O of ecosystem samples”, Water Resources Research, Vol. 46, doi: 10.1029/2009WR007870.

Pfautsch, S., Bleby, T.M., Rennenberg, H. and Adams, M.A. (2010b), “Sap flow measurements reveal influence of temperature and stand structure on water use of Eucalyptus regnans forests”, Forest Ecology and Management, Vol. 259, pp. 1190-1199.

Pfautsch, S. and Adams, M.A. (2013), “Water flux of Eucalyptus regnans: defying summer drought and a record heatwave in 2009”, Oecologia, Vol. 172 No. 2, pp. 317-326.

Remington-Doucette, S. and Musgrove, S. (2015), “Variation in sustainability competency development according to age, gender, and disciplinary affiliation”, International Journal of Sustainability in Higher Education, Vol. 16 No. 4, pp. 537-575.

Reser, J.P., Bradley, G.L., Glendon, A.I., Ellul, M.C. and Callaghan, R. (2012), Public Risk Perceptions, Understandings, and Responses to Climate Change and Natural Disasters in Australia, 2010 and 2011, National Climate Change Adaptation Research Facility, Gold Coast, p. 246.

Rogers, M., Pfaff, T., Hamilton, J. and Erkan, A. (2015), “Using sustainability themes and multidisciplinary approaches to enhance STEM education”, International Journal of Sustainability in Higher Education, Vol. 16 No. 4, pp. 523-536.

Root, T.L., Price, J.T., Hall, K.R., Schneider, S.H., Rosenzweig, C. and Pounds, J.A. (2003), “Fingerprints of global warming on wild animals and plants”, Nature, Vol. 421 No. 6918, pp. 57-60.

Savageau, A.E. (2013), “Let’s get personal: making sustainability tangible to students”, International Journal of Sustainability in Higher Education, Vol. 14 No. 1, pp. 15-24.

Schuldt, J.P., Roh, S. and Schwarz, N. (2015), “Questionnaire design effects in climate change surveys: Implications for the partisan divide”, The Annals of the American Academy of Political and Social Science, Vol. 658 No. 1, pp. 67-85.

Schwarz, N., Bless, H. and Bohner, G. (1991), “Mood and persuasion: affective states influence the processing of persuasive communications”, Advances in Experimental Social Psychology, Vol. 24, pp. 161-199.

Semenza, J.C., Hall, D.E., Wilson, D.J., Bontempo, B.D., Sailor, D.J. and George, L.A. (2008), “Public perception of climate change: voluntary mitigation and barriers to behavior change”, American Journal of Preventive Medicine, Vol. 35 No. 5, pp. 479-487.

Slovic, P. and Peters, E. (2006), “Risk perception and affect”, Current Directions in Psychological Science, Vol. 15 No. 6, pp. 322-335.

Smith, N. and Leiserowitz, A. (2014), “The role of emotion in global warming policy support and opposition”, Risk Analysis, Vol. 34 No. 5, pp. 937-948.

Sobel, D. (2007), “Climate change meets ecophobia”, Connect Magazine, Vol. 21, pp. 14-21.

Solomon, S., Plattner, G.K., Knutti, R. and Friedligstein, P. (2009), “Irreversible climate change due to carbon dioxide emissions”, Proceedings of the National Academy of Sciences of Sciences, Vol. 106 No. 6, pp. 1704-1709.

Sundblad, E.-L., Biel, A. and Gärling, T. (2009), “Knowledge and confidence in knowledge about climate change among experts, journalists, politicians and laypersons”, Environment and Behavior, Vol. 41 No. 2, pp. 281-302.

Urban, M.C. (2015), “Accelerating extinction risk from climate change”, Science, Vol. 348 No. 6234, pp. 571-753.

Wachholz, S., Artz, N. and Chene, D. (2014), “Warming to the idea: university student’s knowledge and attitudes about climate change”, International Journal of Sustainability in Higher Education, Vol. 15 No. 2, pp. 128-141.

Walther, G.-R., Hughes, L., Vitousek, P. and Stenseth, N.C. (2005), “Consensus on climate change”, Trends in Ecology and Evolution, Vol. 20 No. 12, pp. 648-649.

Weber, E.U. (2006), “Experience-based and description-based perceptions of long-term risk: why global warming does not scare us (yet)”, Climatic Change, Vol. 77 Nos 1/2, pp. 103-120.

Weber, E.U. (2010), “What shapes perceptions of climate change?”, Wiley Interdisciplinary Reviews: Climate Change, Vol. 1 No. 3, pp. 332-342.

Whitmarsh, L. (2009a), “What’s the name? Commonalities and differences in public understanding of “climate change” and “Global warming”, Public Understanding of Science, Vol. 18, pp. 401-420.

Whitmarsh, L. (2009b), “Behavioural responses to climate change: asymmetry of intentions and impacts”, Journal of Environmental Psychology, Vol. 29, pp. 13-23.

Wiek, A., Withycombe, L. and Redman, C.L. (2011), “Key competencies in sustainability: a reference framework for academic program development”, Sustainability Science, Vol. 6 No. 2, pp. 203-218.

Wiek, A., Xiong, A., Brundiers, K. and van der Leeuw, S. (2014), “Integrating problem- and project-based learning into sustainability programs”, International Journal of Sustainability in Higher Education, Vol. 15 No. 4, pp. 431-449.

Wilson, K. and Henson, B. (1993), Learning about Global Warming: A Study of Students and Journalists, National Center for Atmospheric Research, Boulder, CO.

WMO (2015), “2015 likely to be the warmest on record, 2011-2015 warmest five year period”, World Meteorological Organisation, Press release No. 13, Geneva, available at: http://public.wmo.int/en/media/press-release/wmo-2015-likely-be-warmest-record-2011-2015-warmest-five-year-period (accessed 1 May 2016).

Wood, B.E., Cornforth, S., Beals, F., Taylor, M. and Tallon, R. (2016), “Sustainability champions?”, International Journal of Sustainability in Higher Education, Vol. 17 No. 3, pp. 342-360.

Further reading

Leiserowitz, A. and Smith, N. (2013), “The role of emotion in global warming policy support and opposition”, Risk Analysis, Vol. 34 No. 5, pp. 937-948.

Acknowledgements

The authors would like to acknowledge the financial support from the School of Social Science & Psychology and the School of Education, Western Sydney University, for the funding to publish the paper.

Corresponding author

Tonia Gray can be contacted at: t.gray@westernsydney.edu.au

About the authors

Sebastian Pfautsch is Senior Ecosystem Scientist. He studies the effects of extreme climates like heat waves and drought on plants in native and urban environments. Through his role as Senior Lecturer in Plant Science and Climate Change, he has developed a keen interest in creating interdisciplinary pathways for tertiary education and research that links biophysical, social and psychological aspects of climate warming and environmental change.

Tonia Gray is Senior Researcher in the Centre for Educational Research at Western Sydney University. For 30 years, she has been devoted to curriculum development that incorporates the benefits of outdoor learning. As a multi-award-winning educator, she received a 2014 Australian Award for University Teaching (AAUT) for Excellence in her long-term and invaluable contribution to university teaching. Her most recent research explores human–nature relationships and their impact on wellbeing and human development (see www.toniagray.com).

Related articles