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Understanding causation in social-ecological systems (SES) is indispensable for promoting sustainable outcomes. However, the study of such causal relations is challenging because they are often complex and intertwined, and their analysis involves diverse disciplines. Although there is agreement that no single research approach (RA) can comprehensively explain SES phenomena, there is a lack of ability to deal with this diversity. Underlying this diversity and the challenge of dealing with it are different causal reasonings that are rarely explicit. Awareness of hidden assumptions is essential for understanding how the causal reasoning of an RA is constituted, and for promoting the integration, translation, or juxtaposition of different RAs. We identify the following elements as particularly relevant for understanding causal reasoning: methods, frameworks and theories, accounts of causation, analytical focus, and causal notions. We begin with the idea that one of these elements typically figures as an entry point to an RA. This entry point is particularly important because it generates a path dependence that orients causal reasoning. In a subsequent step, when an approach is applied, causal reasoning concretizes as a result of a particular constellation of the remaining elements. We come to these insights by studying the application of four different RAs to the same social-ecological case (the collapse of Baltic cod stocks in the 1980s). On the basis of our findings we developed a guide for the analysis of causal reasoning by raising awareness of the assumptions, key elements, and the relations between these key elements for a given RA. The guide can be used to elicit the causal reasoning of RAs, facilitate interdisciplinary collaboration, and support disclosure of ethical/political dimensions that underlie management/governance interventions that are formulated on the basis of causal findings of research studies.

Since antiquity, philosophers in the Western tradition of virtue ethics have declared practical wisdom to be the central virtue of citizens involved in public and social life. Practical wisdom is of particular importance when values are conflicting, power is unequal and knowledge uncertain. We propose that practical wisdom and virtue ethics can inform the practice of sustainability researchers by strengthening their capacity to engage with the normative complexities of knowledge co-production when aspiring to contribute to transformative change.

Global change is threatening the production and livelihoods of millions of smallholders. The capacity of smallholders to deal with such changes is influenced by the increasingly complex trade networks that connect them to local and global markets. Moreover, the social relationships (e.g., trust, reciprocity) in which these trade networks are embedded likely influence smallholders' capacity to respond to change. However, the prevalence and influence of such social embeddedness of trading across different fisheries and agricultural small-scale food systems is still largely unknown. Here, we characterize the social embeddedness of trade networks in small-scale food systems across different production and institutional contexts. We then explore how actors in small-scale food systems could respond to environmental changes in relation to their existing trade networks. We used a methodology based on the qualitative comparison of three different case studies of small-scale fisheries and agriculture in Mexico and South Africa. We analyzed and compared expert interviews among case studies and against the backdrop of embeddedness theory and a previous empirical study. We found key similarities in the level of social embeddedness of trade networks across cases. For example, business relationships characterized by stability and trust prevailed, whereby smallholders are often interdependent through networks of connected traders. There were also differences across cases, such as the higher formalization of business relationships in the agricultural cases, and the influence of institutional and country-specific factors on trade structures. Actors mostly responded to environmental change based on their existing trade networks, although these networks were also subject to change. The findings allowed us to propose more detailed hypotheses outlining how social embeddedness in trade networks play different roles in responding to environmental changes. These hypotheses aim to inspire fu

Society is facing pressing interrelated, multilevel, and systemic challenges. Human consumption patterns are driving biodiversity loss and climate change, with unevenly distributed impacts that exacerbate preexisting inequalities. Structural or systems-level solutions to these challenges depend on group- and individual-level change, and vice versa. Although cognitive psychology has advanced our understanding of individual and group-level decision-making, it rarely links these microlevel processes and behaviors to network- and systems-level structures, resulting in a fragmented theory of how individual and collective action can drive broader social change. For example, psychology has established that physical, social, and historical contexts shape perception, reasoning, and decision-making but has largely ignored the dynamic and interdependent relationship between behavior and contexts. In this review, we urge researchers to move beyond a focus on static contexts and individual and group-level cognition to incorporate deeper theorizing about the temporal dynamics and feedbacks between individuals and the broader contexts in which they are embedded. We review literature emphasizing the role of context in shaping psychological processes as well as emerging research that considers individuals as embedded in complex adaptive systems. Complex adaptive systems frameworks are well suited to study the dynamic and interdependent relationship among individuals and the broader systems and structures they inhabit. The integration of research in psychology with these perspectives may thus offer traction in identifying solution pathways to complex, multilevel challenges by pointing to theories and methods that integrate across levels of analysis and account for coupled nature-society systems.

Metacognition, the ability to monitor and evaluate our own cognitive processes, confers advantages to individuals and their own judgment. A more recent hypothesis, however, states that explicit metacognition may also enhance the collective judgment of groups, and may enhance human collaboration and coordination. Here, we investigate this social function hypothesis of metacognition with arguably one of the oldest collaboration problems humans face, common-pool resource use. Using an agent-based model that simulates repeated group interactions and the forming of collective judgments about resource extraction, we show that (1) in kind environments (where confidence and judgment accuracy correlate positively), explicit metacognition may allow groups to reach more accurate judgments compared to groups exchanging object-level information only; while (2) in wicked environments (where confidence and judgment accuracy correlate negatively), explicit metacognition may protect groups from the large judgment errors yielded by groups using metacognitive information for individual-level learning only (implicit metacognition). With explicit metacognition, this research highlights a novel mechanism which, among others, provides a testable explanation of the often-observed finding that groups all over the world communicate to enhance common property use.