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How do social-ecological systems change over time? In 2002 C. S. Holling and colleagues proposed the concept of panarchy, which presented social-ecological systems as an interacting set of adaptive cycles, each produced by the dynamic tensions between novelty and efficiency at multiple scales. Initially introduced as a conceptual framework and set of metaphors, panarchy has gained the attention of scholars across many disciplines, and its ideas continue to inspire further conceptual developments. Almost 20 years after this concept was introduced, we reviewed how it has been used, tested, extended, and revised, through the combination of qualitative methods and machine learning. Document analysis was used to code panarchy features common to the scientific literature (N = 42), a qualitative analysis that was complemented with topic modeling of 2177 documents. We found that the adaptive cycle is the feature of panarchy that has attracted the most attention. Challenges remain in empirically grounding the metaphor, but recent theoretical and empirical work offer some avenues for future research.

Arctic small-scale fisheries are essential for the livelihoods, cultures, nutrition, economy, and food security of Indigenous communities. Their sustainable management in the rapidly changing Arctic is thus a key priority. Fisheries management in complex systems such as the Arctic would benefit from integrative approaches that explicitly seek to build resilience. Yet, resilience is rarely articulated as an explicit goal of Arctic fisheries management. Here, we first describe how marine and anadromous fisheries management throughout the North has used the notion of resilience through a literature review of 72 peer-reviewed articles. Second, we make a conceptual contribution in the form of steps to implement adaptive co-management that aim to foster resilience. Building on resilience-based insights from the literature review and foundational research on adaptive co-management and resilience, the steps we propose are to initiate and carry out (1) dialogue through a discussion forum, (2) place-based social-ecological participatory research, (3) resilience-building management actions, (4) collaborative monitoring, and (5) joint process evaluation. Additionally, we propose action items associated with the steps to put adaptive co-management into practice. Third, we assess two case studies, Cambridge Bay and Pangnirtung Arctic Char commercial fisheries, to explore how the five steps can help reinforce resilience through adaptive co-management. Overall, we propose novel guidelines for implementing adaptive co-management that actively seeks to build resilience within fishery social-ecological systems in times of rapid, uncertain, and complex environmental change.

Cooperation is thought to be a necessary condition to solve collective action dilemmas such as climate change or the sustainable use of common pool resources. Yet, it is poorly understood how situations pervaded by thresholds shape the behaviour of people facing collective dilemmas. Here we provide empirical evidence that resource users facing thresholds maintain on average cooperative behaviours in the sense of maximising their individual earnings while ensuring future group opportunities. A framed field experiment in the form of a dynamic game with 256 Colombian fishers helped us investigate individual behavioural responses to the existence of thresholds, risk and uncertainty. Thresholds made fishers extract less fish compared to situation without thresholds, but risk had a stronger effect on reducing individual fishing effort. Contrary to previous expectations, cooperation did not break down. If cooperation can be maintained in the face of thresholds, then communicating uncertainty is more policy-relevant than estimating precisely where tipping points lay in social-ecological systems.

Climate change, financial shocks, and fluctuations in international trade are some of the reasons why resilience is increasingly invoked in discussions about land-use policy. However, resilience assessments come with the challenge of operationalization, upscaling their conclusions while considering the context-specific nature of land-use dynamics and the common lack of long-term data. We revisit the approach of system archetypes for identifying resilience surrogates and apply it to land-use systems using seven case studies spread across Latin America. The approach relies on expert knowledge and literature-based characterizations of key processes and patterns of land-use change synthesized in a data template. These narrative accounts are then used to guide development of causal networks, from which potential surrogates for resilience are identified. This initial test of the method shows that deforestation, international trade, technological improvements, and conservation initiatives are key drivers of land-use change, and that rural migration, leasing and land pricing, conflicts in property rights, and international spillovers are common causal pathways that underlie land-use transitions. Our study demonstrates how archetypes can help to differentiate what is generic from context dependant. They help identify common causal pathways and leverage points across cases to further elucidate how policies work and where, as well as what policy lessons might transfer across heterogeneous settings.

Regime shifts, i.e., large, persistent, and usually unexpected changes in ecosystems and social-ecological systems, can have major impacts on ecosystem services, and consequently, on human well-being. However, the vulnerability of different regions to various regime shifts is largely unknown because evidence for the existence of regime shifts in different ecosystems and parts of the world is scattered and highly uneven. Furthermore, research tends to focus on individual regime shifts rather than comparisons across regime shifts, limiting the potential for identifying common drivers that could reduce the risk of multiple regime shifts simultaneously. Here, we introduce the Regime Shifts Database, an open-access database that systematically synthesizes information on social-ecological regime shifts across a wide range of systems using a consistent, comparative framework, providing a wide-ranging information resource for environmental planning, assessment, research, and teaching initiatives. The database currently contains 28 generic types of regime shifts and > 300 specific case studies. Each entry provides a literature-based synthesis of the key drivers and feedbacks underlying the regime shift, as well as impacts on ecosystem services and human well-being, and possible management options. Across the 28 regime shifts, climate change and agriculture-related activities are the most prominent among a wide range of drivers. Biodiversity, fisheries, and aquatic ecosystems are particularly widely affected, as are key aspects of human well-being, including livelihoods, food and nutrition, and an array of cultural ecosystem services. We hope that the database will stimulate further research and teaching on regime shifts that can inform policy and practice and ultimately enhance our collective ability to manage and govern large, abrupt, systemic changes in the Anthropocene.

Rising inequalities and accelerating global environmental change pose two of the most pressing challenges of the twenty-first century. To explore how these phenomena are linked, we apply a social-ecological systems perspective and review the literature to identify six different types of interactions (or pathways) between inequality and the biosphere. We find that most of the research so far has only considered one-directional effects of inequality on the biosphere, or vice versa. However, given the potential for complex dynamics between socioeconomic and environmental factors within social-ecological systems, we highlight examples from the literature that illustrate the importance of cross-scale interactions and feedback loops between inequality and the biosphere. This review draws on diverse disciplines to advance a systemic understanding of the linkages between inequality and the biosphere, specifically recognizing cross-scale feedbacks and the multidimensional nature of inequality.