Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-25T04:40:04.210Z Has data issue: false hasContentIssue false

Conservation, uncertainty and intellectual humility

Published online by Cambridge University Press:  09 November 2023

Sarah Michaels*
Affiliation:
Department of Political Science and the University of Nebraska Public Policy Center, University of Nebraska, NE, USA Institute of Environmental and Interdisciplinary Science, Carleton University, Ottawa, ON, Canada
Graeme Auld
Affiliation:
School of Public Policy and Administration, Carleton University, Ottawa, ON, Canada
Steven J Cooke
Affiliation:
Institute of Environmental and Interdisciplinary Science, Carleton University, Ottawa, ON, Canada Department of Biology and Canadian Centre for Evidence-Based Conservation, Carleton University, Ottawa, ON, Canada Department of Geography and Environmental Studies, Carleton University, Ottawa, ON, Canada
Nathan Young
Affiliation:
School of Sociological and Anthropological Studies, University of Ottawa, Ottawa, ON, Canada
Joseph R Bennett
Affiliation:
Institute of Environmental and Interdisciplinary Science, Carleton University, Ottawa, ON, Canada Department of Biology and Canadian Centre for Evidence-Based Conservation, Carleton University, Ottawa, ON, Canada
Jesse C Vermaire
Affiliation:
Institute of Environmental and Interdisciplinary Science, Carleton University, Ottawa, ON, Canada Department of Biology and Canadian Centre for Evidence-Based Conservation, Carleton University, Ottawa, ON, Canada
*
Corresponding author: Sarah Michaels; Email: [email protected]
Rights & Permissions [Opens in a new window]

Summary

Interventions in environmental conservation are intended to make things better, not worse. Yet unintended and unanticipated consequences plague environmental conservation; key is how uncertainty plays out. Insights from the intellectual humility literature offer constructive strategies for coming to terms with uncertainty. Strategies such as self-distancing and self-assessment of causal complexity can be incorporated into conservation decision-making processes. Including reflection on what we know and do not know in the decision-making process potentially reduces unintended and unanticipated consequences of environmental conservation and management decisions. An important caution is not to have intellectual humility legitimate failing to act in the face of uncertainty.

Type
Perspectives
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Foundation for Environmental Conservation

Introduction

A key challenge in environmental conservation is devising interventions that make things better, not worse, yet unintended consequences are pervasive in conservation decision-making (Pearson et al. Reference Pearson, Clark and Hahn2022). One source of unintended consequences is the treatment of uncertainty, which can be broadly defined as ‘any departure from the unachievable ideal of complete determinism’ (Walker et al. Reference Walker, Harremoës, Rotmans, van der Sluijs, van Asselt, Janssen and Krayer von Krauss2003, p. 8). Conservation decisions involve finding ways to resolve the tensions between wide-ranging and tightly intertwined uncertainties in social, economic and ecological systems (Campbell et al. Reference Campbell, Sayer and Walker2010, Hirsch et al. Reference Hirsch, Adams, Brosius, Zia, Bariola and Dammert2011, Schultz Reference Schultz2011). Human–ecosystem interactions can be unpredictable given the potential for complex feedbacks (Low et al. Reference Low, Costanza, Ostrom, Wilson and Simon1999). Uncertainty is further elevated by emerging threats and stressors with unknown or interacting effects (Folt et al. Reference Folt, Chen, Moore and Burnaford1999). Conservation science and practice have thus rightly placed considerable attention on uncertainty in efforts to improve the ability to guide policy decisions and management practices in order to achieve positive conservation outcomes.

Given that conservation uncertainties are diverse and multi-levelled, efforts to seek out new knowledge and question existing knowledge are useful for mitigating against unanticipated and unintended consequences in conservation interventions. While studies of intellectual humility continue to develop, existing evidence suggests that intellectual humility is correlated with capacities to acquire new knowledge and assess the strength of evidence for arguments, even when these arguments contradict one’s own prior positions (Porter et al. Reference Porter, Elnakouri, Meyers, Shibayama, Jayawickreme and Grossmann2022b, Leman et al. Reference Leman, Kurinec and Rowatt2023). Porter et al. (Reference Porter, Baldwin, Warren, Murray, Cotton Bronk and Forgeard2022a, p. 573) describe intellectual (or epistemic) humility as ‘a constellation of thoughts and behaviors related to productively handling one’s intellectual fallibility and ignorance’. Thinking about intellectual humility as a state of mind in a specific situation rather than an inherent personality trait (Porter et al. Reference Porter, Baldwin, Warren, Murray, Cotton Bronk and Forgeard2022a) means that it can possibly be fostered in specific decision-making processes.

While strategies to incorporate uncertainty in conservation are well developed and continue to evolve (Walker et al. Reference Walker, Harremoës, Rotmans, van der Sluijs, van Asselt, Janssen and Krayer von Krauss2003, Milner-Gulland & Shea Reference Milner-Gulland and Shea2017, Henderson Reference Henderson2018) and the need for humility in conservation has been acknowledged (Knight et al. Reference Knight, Cook, Redford and Biggs2019, Rice Reference Rice2022), scant attention has been paid to bundling conservation, uncertainty and intellectual humility. A search in early 2023 for peer-reviewed papers combining all three of the terms ‘conservation’, ‘uncertainty’ and ‘humility’ on the Web of Science, which provides access to multiple databases of academic references, yielded no results. It is in this context that we make a modest, timely proposal: to approach uncertainties in conservation decision-making through the lens of intellectual humility. We propose that burgeoning research and thinking on intellectual humility can offer conservation science a means by which to underpin fruitful decision-making strategies for recognizing uncertainty and acting in the face of it.

A focus on intellectual humility, we suggest, can highlight the importance of recognizing the uncertainty of one’s understanding and emphasize the act of searching for and appreciating alternative views that may recalibrate societal understanding of a given subject, issue or conservation problem and management approach. A focus on intellectual humility – and behaviours by conservation professionals (including researchers and practitioners) that are consistent with this form of humility – can offer a way to approach uncertainty that is aligned with conservation goals.

Intellectual humility enables coming to terms with the inherent uncertainty of living systems and the inability to fully comprehend and investigate all aspects of constantly evolving systems (Knight et al. Reference Knight, Cook, Redford and Biggs2019). Being humble involves: astutely assessing what one can do and has done; one’s errors, shortfalls, limitations and what one does not know; being amenable to considering novel conceptualizations and content that conflict with one’s own position; appreciating one’s place in wider systems; limiting tendencies to self-focus; and a respect for the value of all that makes up the biosphere and the different ways in which value is added to the world by others, humans and non-humans alike (Tangney Reference Tangney2000, Reference Tangney, Snyder and Lopez2009). Knight et al. (Reference Knight, Cook, Redford and Biggs2019) see humility as a tenet in purposively achieving holistic conservation, attending to the interconnectedness between people and the world in which they live. It can be the basis of trust and foundational in collaborating with others (Knight et al. Reference Knight, Cook, Redford and Biggs2019). Consequently, Rice (Reference Rice2022) views humility as an important leadership characteristic in collaborative, community-based conservation, and the concept of humility was identified by early-career trainees as an essential aspect of becoming an effective environmental problem-solver (Gale et al. Reference Gale, Chapman, White, Ahluwalia, Williamson and Peacock2022). Integral to intellectual humility is owning human limitations by examining them thoughtfully and confronting their implications (Whitcomb et al. Reference Whitcomb, Battaly, Baehr and Howard-Snyder2017, Hoekstra & Vazire Reference Hoekstra and Vazire2021).

We propose that viewing uncertainty in environmental conservation decision-making through a lens of intellectual humility may offer a form of conceptual anchoring for a range of emerging and productive approaches in conservation science and practice. Calls for intellectual humility should not be seen as inevitably beneficial, particularly when they are strategically deployed to bolster cases for delay and inaction on pressing conservation issues (see Ballantyne Reference Ballantyne2023). But there appear to be fruitful opportunities to use the growing work on intellectual humility (for recent reviews, see Light & Fernbach Reference Light, Fernbach, Alfano, Lynch and Tanesini2020, Porter et al. Reference Porter, Elnakouri, Meyers, Shibayama, Jayawickreme and Grossmann2022b) to inform efforts to increase the effectiveness and avoid at least some of the unintended and unanticipated harms of conservation interventions.

The format of this paper is as follows. We first highlight two well-accepted features of uncertainty in environmental conservation decision-making that are ripe for constructive reconsideration though the lens of intellectual humility. Two specific strategies for fostering intellectual humility are then discussed. The application of intellectual humility to environmental conservation decision-making is then considered by building on emerging best practices in environmental conservation decision-making. We conclude by providing an invitation to researchers and practitioners to consider employing intellectual humility in a non-naïve manner.

Features of uncertainty in environmental conservation decision-making

Two features of uncertainty stand out as potentially consequential in contributing to unintended and unanticipated conservation decision-making outcomes. They are the lack of a common understanding of what uncertainties exist and that research does not always resolve uncertainties.

First, conservation decision-making rarely involves settings where a common understanding of what uncertainties exist can be assumed. It is not surprising, given the myriad ways uncertainty can be understood, that uncertainty lacks a universally accepted, exact definition and a precise solution (Regan et al. Reference Regan, Colyvan and Burgman2002, Syrett & Devine Reference Syrett and Devine2012, Milner-Gulland & Shea Reference Milner-Gulland and Shea2017). Linguistic uncertainty refers to the absence of consensus about how uncertainty is conceptualized and expressed (Milner-Gulland & Shea Reference Milner-Gulland and Shea2017). Regan et al. (Reference Regan, Colyvan and Burgman2002) distinguish between uncertainty in language and in facts, and Milner-Gulland and Shea (Reference Milner-Gulland and Shea2017) differentiate between sources of uncertainty depending on their importance to management outcomes and controllability. The roles that individuals play in policymaking can also affect what uncertainty they focus on. For example, policymakers and stakeholders are often more preoccupied with political or policy uncertainty than scientific uncertainty (Young et al. Reference Young, Corriveau, Nguyen, Cooke and Hinch2016). At the broadest level, perceptions of uncertainty may reflect cultural norms that vary both through time and among different communities of people (Scoones Reference Scoones2019). How uncertainty is considered is a function of how people view the world (Douglas & Wildavsky Reference Douglas and Wildavsky1982). Intrinsic and external factors can shape individuals’ tolerance for uncertainty (Slovic Reference Slovic1987).

Second, as much as researchers might wish that they could help resolve uncertainties, this often is not the case. Not all types of uncertainty, including those related to stochastic events and environmental and climate variability (Kremer Reference Kremer1983, Fatichi et al. Reference Fatichi, Barbosa, Caporali and Silva2009), can be ‘overcome’ by research. Those working within the framework of adaptive management have demonstrated that there are many types of uncertainty, and they distinguish between epistemological uncertainty, which can be reduced through studying the phenomenon of interest, and aleatory uncertainty, which cannot (Regan et al. Reference Regan, Colyvan and Burgman2002, Keith et al. Reference Keith, Martin, McDonald-Madden and Walters2011, Runge et al. Reference Runge, Converse and Lyons2011).

Conservation decisions are rarely made exclusively based on conservation science. In such settings, generating more conservation science will often not address what is most impeding achieving desirable conservation outcomes. Problems that are not specific to ecology, such as economic conditions, and associated priorities, such as reducing government expenditures, feature significantly in conservation decision-making. For example, the Canadian Species at Risk Act gives the responsible minister discretion in accepting scientific advice on species listings. Recovery implementation plans and timelines are often delayed and ineffective (Bird & Hodges Reference Bird and Hodges2017). Implementation of the European Union’s Birds and Habitats Directives through Member States introduces uncertainties in how policy design is translated into action on the ground for species and habitat protection (Alblas & van Zeben Reference Alblas and van Zeben2023). In these cases, the political and policy processes represent the locus of uncertainty, more so than the ecological system under threat.

Intellectual humility, as we discuss in the next section, may help us to navigate these features of uncertainty. It may be valuable in helping researchers and decision-makers to be self-aware of their intellectual limits and to seek out enriching their understanding of a situation. Doing so may lessen the possibility of bringing about unintended and unanticipated effects of conservation decision-making.

Fostering intellectual humility in decision-making processes

A growing body of work in philosophy and psychology offers promising insights into the ways in which individuals are and can become more intellectually humble (Light & Fernbach Reference Light, Fernbach, Alfano, Lynch and Tanesini2020, Porter et al. Reference Porter, Elnakouri, Meyers, Shibayama, Jayawickreme and Grossmann2022b). The value of these insights, we suggest, is specific to how they may inform conservation decision-making to better navigate uncertainties. This can be accomplished by building procedures into evidence-based decision-making processes that promote recognizing the views of others, self-awareness of intellectual limitations and assessing one’s own knowledge. Two specific strategies offer potential in this regard.

First, what is termed ‘self-distancing’ serves as a means by which individuals can become more reflective and aware of their intellectual limits. Self-distancing involves individuals ‘reflecting on experiences by taking a step back and envisioning themselves from a vantage point of a distant observer’ (Porter et al. Reference Porter, Elnakouri, Meyers, Shibayama, Jayawickreme and Grossmann2022b, pp. 531–532). Distancing can be accomplished by thinking of a situation from the vantage point of a ‘fly on a wall’ or by asking someone to take the perspective of an exemplar, like children being asked to think about a decision based on what the superhero Batman would do (White & Carlson Reference White and Carlson2016). Studies document that self-distancing can help individuals overcome cognitive biases. For instance, Sun et al. (Reference Sun, Zhang, Sai and Hu2018) examined the difference between having research participants think of lotteries with different probabilities and pay-offs from a self-immersive and from a self-distant perspective. The researchers did so to see whether the latter perspective lessened the research participants’ likelihood of over-weighting high probabilities and under-weighting low probabilities (i.e., the probability-weighting bias). The expected effect of self-distancing was found: participants who adopted a self-distancing perspective were less prone to the probability-weighting bias, meaning that their judgements of the lotteries were not skewed due to the lower salience of small probabilities and higher salience of large probabilities (Sun et al. Reference Sun, Zhang, Sai and Hu2018). A general, exploratory theme in this research is how to foster objective reasoning, often about issues, experiences or topics that create emotional or cognitive challenges for the individual doing the reasoning (e.g., see Kross & Ayduk Reference Kross, Ayduk and JM2017).

A second theme identified by work on intellectual humility concerns humans’ generally poor ability to assess their own knowledge, even among experts (e.g., Fisher & Keil Reference Fisher and Keil2016, Fonseca et al. Reference Fonseca, Pettitt, Woollard, Rutherford, Bickmore, Ferguson-Smith and Hurst2023). Work in line with this theme has identified the way in which asking individuals to either write out or consider a step-by-step causal explanation of how an object or topic works can help temper their self-reported understanding of the object or topic (Porter et al. Reference Porter, Elnakouri, Meyers, Shibayama, Jayawickreme and Grossmann2022b). This can create several potential benefits. Fernbach et al. (Reference Fernbach, Rogers, Fox and Sloman2013) found that individuals asked to provide a mechanistic causal explanation for certain policies (e.g., a cap-and-trade system) generally tempered their pre-explanation claims of knowledge about the policies. Requesting a causal explanation, the work suggests, helps individuals realize they know less than they thought, possibly changing their mindset away from a biased or sometimes teleological explanation of the matter in question (Kelemen et al. Reference Kelemen, Rottman and Seston2013). This main finding has been replicated by Crawford and Ruscio (Reference Crawford and Ruscio2021). Other studies have shown that requesting a complete causal account may not even be needed to have individuals adjust their subjective assessments of their understanding. Johnson et al. (Reference Johnson, Murphy and Messer2016) showed that asking research participants to reflect on their ability to generate a step-by-step explanation of an object had the effect of efficiently (i.e., taking less time than required for a written explanation) reducing their overestimation of their subjective understanding.

Towards the application of intellectual humility in conservation decision-making

Turning to conservation and questions of uncertainty, we can see benefits of using the ideas of self-distancing and causal explanation elicitations to inform approaches to fostering intellectual humility within conservation science and practice. Intellectual humility could be usefully seen as an aid for participants in conservation decision-making to recalibrate their own knowledge of the complex and often uncertain causal mechanisms that connect science to effective conservation outcomes. Perhaps more importantly, these ideas for how intellectual humility is incorporated may deepen existing understandings of why some forms of conservation decision-making work and how they may be able to work even more effectively to prevent unintended and unanticipated consequences. Here we provide examples from emerging approaches to support our proposal.

Structured decision-support tools and frameworks place considerable emphasis on the need for causal thinking and transparency about the way in which conservation interventions are expected to achieve outcomes and under what conditions, what their costs and benefits are and how they compare to other alternatives (Gregory et al. Reference Gregory, Failing, Harstone, Long, McDaniels and Ohlson2012, Bower et al. Reference Bower, Brownscombe, Birnie-Gauvin, Ford, Moraga and Pusiak2018). Innovative providers of decision support have also proposed ways of co-creating these frameworks and evidence-generating processes to help pluralize the knowledge basis for decisions and the trust and buy-in for conservation interventions (Christie et al. Reference Christie, Downey, Frick, Grainger, O’Brien and Tinsley-Marshall2022). Similarly, promising tools such as value-of-information analysis and decision-facilitation techniques are being developed to aid in managing or mitigating uncertainty (Langford et al. Reference Langford, Gordon and Bastin2009). Moore et al. (Reference Moore and Runge2012) use both of these tools in their management case study in alpine Australia of the grey sallow willow (Salix cinerea), an invasive, non-native species. Value-of-information analysis has become an accepted tool in conservation to determine whether more research will improve policy decisions. Such an analytical approach is used in considering whether collecting information to reduce uncertainty about a problem is worth doing (Bennett et al. Reference Bennett, Maxwell, Martin, Chadès, Fahrig and Gilbert2018). Bennett et al. (Reference Bennett, Maxwell, Martin, Chadès, Fahrig and Gilbert2018) demonstrated the utility of this approach using case-simulated studies to choose among prospective habitat areas for single-species protection and to classify and manage multiple species under threat of becoming extinct.

The strategies of self-distancing and causal explanation elicitation have the potential to be grounded in a specific understanding of the limits to human knowledge. These strategies can help individuals be more reflective, self-aware of their limits and biases and open to other views when they engage in decision-making.

Miscalibration of knowledge can take various forms. Experts with high levels of knowledge may err by neglecting to consider new or external information; novices may underappreciate the complexity of a situation, sometimes because they perceive that others in their community hold an understanding on their behalf (Light & Fernbach Reference Light, Fernbach, Alfano, Lynch and Tanesini2020). Tackling these cognitive shortcomings directly seems imperative if decision-making is to avoid unanticipated and unintended consequences flowing from knowledge miscalibrations. Intellectual humility provides an underpinning for considering the failings of human cognition and how these can be managed in decision-making processes.

Indeed, researchers, managers and other actors in decision-making ought to be encouraged to consider questions of uncertainty from a self-distancing perspective so as to avoid self-focus, which might ossify prior expectations or lead to us falling prey to probability biases. This appears consistent with findings in conservation that suggest that bringing in a wider range of perspectives and concerns makes a difference (Failing et al. Reference Failing, Gregory and Higgins2013). At the same time, it gives further conceptual and theoretical grounding as to what makes these processes effective in navigating conservation uncertainties. Drawing in people with dissimilar backgrounds necessitates taking a step back to articulate what might otherwise be assumed, such as what is uncertain, what the components of uncertainty being confronted are, which of these are not reducible through further research, the criteria for evaluating decision processes and outcomes and what outcomes from intervention are desirable. The adoption of self-distancing practices may, in this way, lessen the potential for unanticipated and unintended consequences.

Seeking the articulation of causal explanations has been demonstrated to help identify knowledge overestimation (Johnson et al. Reference Johnson, Murphy and Messer2016, Light & Fernbach Reference Light, Fernbach, Alfano, Lynch and Tanesini2020). It also seems plausible that this strategy could be incorporated into structured processes that consider uncertainties across complex causal chains. This would help us to avoid possible unintended consequences stemming from an overestimation of knowledge and thus would be highly complementary to the proposed structured decision-making processes discussed above. Making causal complexity visible is consistent with calls for extensive transparency in decision-making processes regarding the uncertainties involved and how they might influence the outcome of a decision (McCarthy Reference McCarthy2014). Full transparency requires communicating uncertainty and the basis for a chosen decision with relevant parties, even if the decision will not be embraced by all (Van der Bles et al. Reference Van der Bles, Van Der Linden, Freeman, Mitchell, Galvao, Zaval and Spiegelhalter2019). Transparency can help us to identify uncertainties outside of our own mental models, creating an enhanced opportunity for adaptative and iterative learning. Being transparent is to acknowledge the extent of learning still to be undertaken, a key component of intellectual humility. Providing transparency, as an intellectually humble approach, could become best practice in the reporting of science (Hoekstra & Vazire Reference Hoekstra and Vazire2021).

An agenda for intellectual humility in environmental conservation

Emerging insights on the nature, sources and consequences of intellectual humility offer an opportunity for conservation science to guide approaches to dealing with pervasive uncertainties in research and practice. Intellectual humility, we suggest, is salient to important aspects of uncertainty in conservation decisions. Most promisingly, constructive approaches to addressing uncertainty through intellectual humility are in accord with best practices for considering uncertainty in environmental conservation science and management. This includes the willingness to consider novel thinking and the perspectives of others and reflecting on conflicting information and perspectives.

To realize the potential of intellectual humility as an anchor for conservation decision-making, we call for greater attention to be given to how humility in practice may be identified and fostered (e.g., see Porter et al, Reference Porter, Elnakouri, Meyers, Shibayama, Jayawickreme and Grossmann2022b). Decision-making processes need to take direct account of how they handle the cognitive limitations of the individuals involved. We foresee promising ideas emerging from practice and research informed by the body of work on intellectual humility, such as the strategic games approach proposed by Garcia et al. (Reference Garcia, Savilaakso, Verburg, Stoudmann, Fernbach and Sloman2022) that seeks to better account for human agency and avoid stalling and unwelcome surprises during policy implementation.

Equally, we must remember that employing intellectual humility can only do so much and will not always lead to beneficial outcomes. Calls for additional research on many important conservation issues may be deliberate delay tactics by those with vested interests in maintaining the status quo (Ludwig et al. Reference Ludwig, Hilborn and Waters1993). Thus, it is important to distinguish between situations where those who wish to derail conservation efforts cite the existence of uncertainty as a rationale for taking no action and situations where people are genuinely working towards solving a conservation problem of which uncertainty is a consideration (Ludwig et al. Reference Ludwig, Hilborn and Waters1993). In the former circumstance, uncertainty is amplified to serve particular interests (van Asselt & Vos Reference van Asselt and Vos2008), being used as a means to an end, such as stalling implementation, rather than addressing it conscientiously (Versluis et al. Reference Versluis, van Asselt and Kim2019). Consistent with concerns about the timeliness of action, work on intellectual humility clarifies that there are cases where humility can have ill effects. As Ballantyne (Reference Ballantyne2023, p. 215) opines, ‘Being intellectually humble could make us suckers’, particularly when those making calls for humility have an incentive to delay action, as in the case of climate denialism (Oreskes & Conway Reference Oreskes and Conway2011). Thus, it seems essential to focus on devising the contexts in which a focus on intellectual humility can help engender deeper understandings of conservation issues rather than buttressing calls for forestalling action.

It is helpful to remember that decisions, whether good or bad, are rarely final (Rytwinski et al. Reference Rytwinski, Cooke, Taylor, Roche, Smith and Mitchell2021). Most decision-making processes are iterative and, in due course, can be revisited. This may result from a change in government. Conservation problems, as Rittel and Webber (Reference Rittel and Webber1973, p. 160) noted about social problems, ‘are never solved. At best they are only re-solved – over and over again.’ This is why a mindset of intellectual humility is important. When roadblocks appear in conservation decision-making, the helpful response is to acknowledge their complexity while maintaining progress, whether it is to work through or around them.

Acknowledgements

Thanks to Vivian Nguyen (Carleton University) for discussion that shaped the authors’ thinking and to Gillian Zorn (Carleton University) for assisting with reference formatting. The authors also thank three anonymous reviewers for their comments.

Financial support

SM was supported by grants from the Fulbright Canada Program and the University of Nebraska Faculty Development Leave Program. GA, SJC, NY and JRB were supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) and Environment and Climate Change Canada. JCV was supported by the NSERC Discovery Program.

Competing interests

The authors declare none.

Ethical standards

None.

References

Alblas, E, van Zeben, J (2023) ‘Farming out’ biodiversity: implementing EU nature law through agri-environmental schemes. Earth System Governance 17, 100180.CrossRefGoogle Scholar
Ballantyne, N (2023) Recent work on intellectual humility: a philosopher’s perspective. Journal of Positive Psychology 18: 200220.CrossRefGoogle Scholar
Bennett, JR, Maxwell, SL, Martin, AE, Chadès, I, Fahrig, L, Gilbert, B (2018) When to monitor and when to act: value of information theory for multiple management units and limited budgets. Journal of Applied Ecology 55: 21022113.CrossRefGoogle Scholar
Bird, SC, Hodges, KE (2017) Critical habitat designation for Canadian listed species: slow, biased, and incomplete. Environmental Science Policy 71: 18.CrossRefGoogle Scholar
Bower, SD, Brownscombe, JW, Birnie-Gauvin, K, Ford, MI, Moraga, AD, Pusiak, RJ et al. (2018) Making tough choices: picking the appropriate conservation decision-making tool. Conservation Letters 11: e12418.CrossRefGoogle Scholar
Campbell, BM, Sayer, JA, Walker, B (2010) Navigating trade-offs: working for conservation and development outcomes. Ecology and Society 15: 16.CrossRefGoogle Scholar
Christie, AP, Downey, H, Frick, WF, Grainger, M, O’Brien, D, Tinsley-Marshall, P et al. (2022) A practical conservation tool to combine diverse types of evidence for transparent evidence-based decision-making. Conservation Science and Practice 4: e579.CrossRefGoogle Scholar
Crawford, JT, Ruscio, J (2021) Asking people to explain complex policies does not increase political moderation: three preregistered failures to closely replicate Fernbach, Rogers, Fox, and Sloman’s (2013) findings. Psychological Science 32: 611621.CrossRefGoogle ScholarPubMed
Douglas, M, Wildavsky, AB (1982) Risk and Culture: An Essay on the Selection of Technical and Environmental Dangers. Berkeley, CA, USA: University of California Press.Google Scholar
Failing, L, Gregory, R, Higgins, P (2013) Science, uncertainty, and values in ecological restoration: a case study in structured decision-making and adaptive management. Restoration Ecology 21: 422430.CrossRefGoogle Scholar
Fatichi, SS, Barbosa, M, Caporali, E, Silva, ME (2009) Deterministic versus stochastic trends: detection and challenges. Journal of Geophysical Research: Atmospheres 114: D18121.CrossRefGoogle Scholar
Fernbach, PM, Rogers, T, Fox, CR, Sloman, SA (2013) Political extremism is supported by an illusion of understanding. Psychological Science 24: 939946.CrossRefGoogle ScholarPubMed
Fisher, M, Keil, FC (2016) The curse of expertise: when more knowledge leads to miscalibrated explanatory insight. Cognitive Science 40: 12511269.CrossRefGoogle ScholarPubMed
Folt, CL, Chen, CY, Moore, MV, Burnaford, J (1999) Synergism and antagonism among multiple stressors. Limnology and Oceanography 44: 864877.CrossRefGoogle Scholar
Fonseca, C, Pettitt, J, Woollard, A, Rutherford, A, Bickmore, W, Ferguson-Smith, A, Hurst, LD (2023) People with more extreme attitudes towards science have self-confidence in their understanding of science, even if this is not justified. PLoS Biology 21: e3001915.CrossRefGoogle Scholar
Gale, A, Chapman, J, White, D, Ahluwalia, P, Williamson, A, Peacock, K et al. (2022) On embracing the concept of becoming environmental problem solvers: the trainee perspective on key elements of success, essential skills, and mindset. Environmental Reviews 30: 19.CrossRefGoogle Scholar
Garcia, CA, Savilaakso, S, Verburg, RW, Stoudmann, N, Fernbach, P, Sloman, SA et al. (2022) Strategy games to improve environmental policymaking. Nature Sustainability 5: 464471.CrossRefGoogle Scholar
Gregory, R, Failing, L, Harstone, M, Long, G, McDaniels, T, Ohlson, D (2012) Structured Decision Making: A Practical Guide to Environmental Management Choices. Chichester, UK: Wiley-Blackwell.CrossRefGoogle Scholar
Henderson, J (2018) Managing uncertainty for preventive conservation. Studies in Conservation 63: 108112.CrossRefGoogle Scholar
Hirsch, PD, Adams, WM, Brosius, JP, Zia, A, Bariola, N, Dammert, JL (2011) Acknowledging conservation trade-offs and embracing complexity. Conservation Biology 25: 259264.Google ScholarPubMed
Hoekstra, R, Vazire, S (2021) Aspiring to greater intellectual humility in science. Nature Human Behaviour 5: 16021607.CrossRefGoogle ScholarPubMed
Johnson, DR, Murphy, MP, Messer, RM (2016) Reflecting on explanatory ability: a mechanism for detecting gaps in causal knowledge. Journal of Experimental Psychology: General 145: 573.CrossRefGoogle ScholarPubMed
Keith, DA, Martin, TG, McDonald-Madden, E, Walters, C (2011) Uncertainty and adaptive management for biodiversity conservation. Biological Conservation 144: 11751178.CrossRefGoogle Scholar
Kelemen, D, Rottman, J, Seston, R (2013) Professional physical scientists display tenacious teleological tendencies: purpose-based reasoning as a cognitive default. Journal of Experimental Psychology 142: 1074.CrossRefGoogle ScholarPubMed
Knight, AT, Cook, CN, Redford, KH, Biggs, D, Ortega-Argueta RCA, Norman CD et al. (2019) Improving conservation practice with principles and tools from systems thinking and evaluation. Sustainability Science 14: 15311548.CrossRefGoogle Scholar
Kremer, JN (1983) Ecological implications of parameter uncertainty in stochastic simulation. Ecological Modelling 18: 187207.CrossRefGoogle Scholar
Kross, E, Ayduk, O (2017) Self-distancing: theory, research, and current directions. In JM, Olson (ed.), Advances in Experimental Social Psychology (vol. 55, pp. 81136). Amsterdam, The Netherlands: Elsevier.Google Scholar
Langford, WT, Gordon, A, Bastin, L (2009) When do conservation planning methods deliver? Quantifying the consequences of uncertainty. Ecological Informatics 4: 123135.CrossRefGoogle Scholar
Leman, J, Kurinec, C, Rowatt, W (2023) Overconfident and unaware: intellectual humility and the calibration of metacognition. Journal of Positive Psychology 18: 178196.CrossRefGoogle Scholar
Light, N, Fernbach, P (2020) The role of knowledge calibration in intellectual humility. In Alfano, M, Lynch, MP, Tanesini, A (eds), The Routledge Handbook of Philosophy of Humility (pp. 411424). Abingdon, UK: Routledge.CrossRefGoogle Scholar
Low, B, Costanza, R, Ostrom, E, Wilson, J, Simon, CP (1999) Human–ecosystem interactions: a dynamic integrated model. Ecological Economics 31: 227242.CrossRefGoogle Scholar
Ludwig, D, Hilborn, R, Waters, C (1993) Uncertainty, resource exploitation, and conservation: lessons from history. Science 260: 1736.CrossRefGoogle ScholarPubMed
McCarthy, MA (2014) Contending with uncertainty in conservation management decisions. Annals of the New York Academy of Sciences 1322: 7791.CrossRefGoogle ScholarPubMed
Milner-Gulland, EJ, Shea, K (2017) Embracing uncertainty in applied ecology. Journal of Applied Ecology 54: 20632068.CrossRefGoogle ScholarPubMed
Moore, JL, Runge, MC (2012) Combining structured decision making and value-of-information analyses to identify robust management strategies. Conservation Biology 26: 810820.CrossRefGoogle ScholarPubMed
Oreskes, N, Conway, EM (2011) Merchants of Doubt: How a Handful of Scientists Obscured the Truth on Issues from Tobacco Smoke to Global Warming. New York, NY, USA: Bloomsbury Publishing USA.Google Scholar
Pearson, DE, Clark, TJ, Hahn, PG (2022) Evaluating unintended consequences of intentional species introductions and eradications for improved conservation management. Conservation Biology 36: e13734.CrossRefGoogle ScholarPubMed
Porter, T, Baldwin, CR, Warren, MT, Murray, ED, Cotton Bronk, K, Forgeard, MJ et al. (2022a) Clarifying the content of intellectual humility: a systematic review and integrative framework. Journal of Personality Assessment 104: 573585.CrossRefGoogle ScholarPubMed
Porter, T, Elnakouri, A, Meyers, EA, Shibayama, T, Jayawickreme, E, Grossmann, I (2022b) Predictors and consequences of intellectual humility. Nature Reviews Psychology 1: 524536.CrossRefGoogle ScholarPubMed
Regan, HM, Colyvan, M, Burgman, MA (2002) A taxonomy and treatment of uncertainty for ecology and conservation biology. Ecological Applications 12: 618628.CrossRefGoogle Scholar
Rice, WS (2022) Identifying and developing effective post-2020 conservation bridging leaders. Conservation Biology 36: e13980.CrossRefGoogle ScholarPubMed
Rittel, HJW, Webber, M (1973) Dilemmas in a general theory of planning. Policy Sciences 4: 155169.CrossRefGoogle Scholar
Runge, MC, Converse, SJ, Lyons, JE (2011) Which uncertainty? Using expert elicitation and expected value of information to design an adaptive program. Biological Conservation 144: 12141223.CrossRefGoogle Scholar
Rytwinski, T, Cooke, SJ, Taylor, JJ, Roche, DG, Smith, PA, Mitchell, GW et al. (2021) Acting in the face of evidentiary ambiguity, bias, and absence arising from systematic reviews in applied environmental science. Science of the Total Environment 775: 145122.CrossRefGoogle Scholar
Schultz, PW (2011) Conservation means behavior. Conservation Biology 25: 10801083.CrossRefGoogle ScholarPubMed
Scoones, I (2019) What Is Uncertainty and Why Does It Matter? STEPS Working Paper 105. Brighton, UK: STEPS Centre.Google Scholar
Slovic, P (1987) Perception of risk. Science 236: 280285.CrossRefGoogle ScholarPubMed
Sun, Q, Zhang, H, Sai, L, Hu, F (2018) Self-distancing reduces probability-weighting biases. Frontiers in Psychology 9: 611.CrossRefGoogle ScholarPubMed
Syrett, M, Devine, M (2012) Managing Uncertainty: Strategies for Surviving and Thriving in Turbulent Times. London, UK: Profile Books.Google Scholar
Tangney, JP (2000) Humility: theoretical perspectives, empirical findings and directions for future research. Journal of Social and Clinical Psychology 19: 7082.CrossRefGoogle Scholar
Tangney, JP (2009) Humility. In Snyder, CR, Lopez, SJ (eds), Oxford Handbook of Positive Psychology (pp. 483490). Oxford, UK: Oxford University Press.Google Scholar
van Asselt, MBA, Vos, E (2008) Wrestling with uncertain risks: EU regulation of GMOs and the uncertainty paradox. Journal of Risk Research 11: 281300.CrossRefGoogle Scholar
Van der Bles, AM, Van Der Linden, S, Freeman, AL, Mitchell, J, Galvao, AB, Zaval, L, Spiegelhalter, DJ (2019) Communicating uncertainty about facts, numbers and science. Royal Society Open Science 6: 181870.CrossRefGoogle ScholarPubMed
Versluis, E, van Asselt, M, Kim, J (2019) The multilevel regulation of complex policy problems: uncertainty and the swine flu pandemic. European Policy Analysis 5: 8098.CrossRefGoogle ScholarPubMed
Walker, WE, Harremoës, P, Rotmans, J, van der Sluijs, JP, van Asselt, MBA, Janssen, P, Krayer von Krauss, MP (2003) Defining uncertainty: a conceptual basis for uncertainty management in model-based decision support. Integrated Assessment 4: 517.CrossRefGoogle Scholar
Whitcomb, D, Battaly, H, Baehr, J, Howard-Snyder, D (2017) Intellectual humility: owning our limitations. Philosophy and Phenomenological Research XCIV: 509539.CrossRefGoogle Scholar
White, RE, Carlson, SM (2016) What would Batman do? Self-distancing improves executive function in young children. Developmental Science 19: 419426.CrossRefGoogle ScholarPubMed
Young, N, Corriveau, M, Nguyen, VM, Cooke, SJ, Hinch, SG (2016) How do potential knowledge users evaluate new claims about a contested resource? Problems of power and politics in knowledge exchange and mobilization. Journal of Environmental Management 184: 380388.CrossRefGoogle ScholarPubMed