As global change accelerates, natural resource-dependent communities must respond and adapt. Small-scale fisheries, essential for coastal livelihoods and food security, are considered among the most vulnerable of these coupled social-ecological systems. While previous studies have examined vulnerability and adaptation in fisheries at the individual, household, and community level, these scales of organization are inconsistent with many of the legal and regulatory frameworks that function in practice to mediate behavior, decision-making, and adaptation. Here, we use cooperative- and privately-owned fishing enterprises in Northwest Mexico as a case study to examine how different forms of marine self-governance experience and respond to climate shocks. Leveraging social-ecological network methods to examine changes in fisheries participation and vulnerability during a recent period of pronounced regional oceanographic change, our analysis suggests that: 1) different forms of SSF self-governance (and the fishing strategies and harvest portfolios with which they are associated) help determine the impacts of and response to environmental change; and 2) that there may be important tradeoffs between short-term responses which function to prevent or mitigate lost fishing revenue and long-term changes in climate vulnerability. In particular large fishing cooperatives, predicted to be highly vulnerable on the basis of network theoretic metrics, exceeded expectations (maintaining or increasing resource revenues) while demonstrating a degree of path dependency that may function to increase sensitivity and undermine resilience as climate change progresses. In providing an empirical evaluation of how self-governance arrangements characterized by different group sizes, access regimes and levels of cooperation respond to system perturbation, we aim to advance common pool resource theory while offering targeted guidance for the development of more nuanced and equitable climate adaptation policies.

Agricultural systems are important for the livelihoods and food security of millions of people. These systems are increasingly interconnected across scales and face challenges in responding to multiple, and coalescing types of environmental, social, and economic change. Most studies on how actors respond to change have focused on farmers and farming communities. In this study, we investigate the connectivity of farming systems to markets, to understand how social relationships across the supply chain influence how actors respond to multiple types of changes. We used a participatory network mapping method to interview actors across a fruit supply chain in the Western Cape, South Africa, that is connected to both global and national markets. We identified droughts, climatic variations, changes related to the COVID-19 pandemic, and other social shifts as the most important changes affecting the production and trade of fruit in this region. We also identified three types of responses to these changes: i) responses concerning the dynamics of trade relationships (e.g., changing or maintaining trade relationships); ii) responses based on changes at the individual level (e.g., changes in farm management); and iii) responses based on social relationships (categorized into four types, namely collaboration, knowledge transfer, financial assistance, and marketing coordination). Within these four types, we found that different types of social networks, that include actors operating at different scales and within and outside of supply chains, mediate responses to change. We also found that networks of collaboration, knowledge exchange and financial assistance show a positive correlation, where actors with an export orientation engage in multiple social relationships that enable responding to changes. However, we found limited participation of local market actors in most of these networks. Further investigating these social networks, and the actors participating in them, is essential to better understand and anticipate how and why agricultural systems respond to multiple types of changes, ultimately influencing their trajectory in an increasingly changing world.

Despite the growing knowledge that food system solutions should account for interactions and drivers across scales, broader societal debate on how to solve food system challenges is often focused on two dichotomous perspectives and associated solutions: either more localized food systems or greater global coordination of food systems. The debate has found problematic expressions in contemporary challenges, prompting us to revisit the role that resilience thinking can play when faced with complex crises that increase uncertainty. Here we identify four ‘aching points’ facing food systems that are central points of tension in the local–global debate. We apply the seven principles of resilience to these aching points to reframe the solution space to one that embeds resilience into food systems’ management and governance at all scales, supporting transformative change towards sustainable food systems.

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 future research toward the improved understanding of trade networks' influence on small-scale food systems' resilience.

Meeting the objectives of sustainable fisheries management requires attention to the complex interactions between humans, institutions and ecosystems that give rise to fishery outcomes. Traditional approaches to studying fisheries often do not fully capture, nor focus on these complex interactions between people and ecosystems. Despite advances in the scope and scale of interactions encompassed by more holistic methods, for example ecosystem-based fisheries management approaches, no single method can adequately capture the complexity of human–nature interactions. Approaches that combine quantitative and qualitative analytical approaches are necessary to generate a deeper understanding of these interactions and illuminate pathways to address fisheries sustainability challenges. However, combining methods is inherently challenging and requires understanding multiple methods from different, often disciplinarily distinct origins, demanding reflexivity of the researchers involved. Social–ecological systems’ research has a history of utilising combinations of methods across the social and ecological realms to account for spatial and temporal dynamics, uncertainty and feedbacks that are key components of fisheries. We describe several categories of analytical methods (statistical modelling, network analysis, dynamic modelling, qualitative analysis and controlled behavioural experiments) and highlight their applications in fisheries research, strengths and limitations, data needs and overall objectives. We then discuss important considerations of a methods portfolio development process, including reflexivity, epistemological and ontological concerns and illustrate these considerations via three case studies. We show that, by expanding their methods portfolios, researchers will be better equipped to study the complex interactions shaping fisheries and contribute to solutions for sustainable fisheries management.

Local and regional trade networks in small-scale fisheries are important for food security and livelihoods across the world. Such networks consist of both economic flows and social relationships, which connect different production regions to different types of fish demand. The structure of such trade networks, and the actions that take place within them (e.g., people fishing, buying, selling), can influence the capacity of small-scale fisheries to provide sufficient fish in a changing social and ecological context. In this study, we aim to understand the importance of networks between different types of traders that access spatially-distinct fish stocks for the availability and variability of fish provision. We deployed a mixed-methods approach, combining agent-based modelling, network analysis and qualitative data from a small-scale fishery in Baja California Sur, Mexico. The empirical data allowed us to investigate the trade processes that occur within trade networks; and the generation of distinct, empirically-informed network structures. Formalized in an agent-based model, these network structures enable analysis of how different trade networks affect the dynamics of fish provision and the exploitation level of fish stocks. Model results reveal how trade strategies based on social relationships and species diversification can lead to spillover effects between fish species and fishing regions. We found that the proportion of different trader types and their spatial connectivity have the potential to increase fish provision. However, they can also increase overexploitation depending on the specific connectivity patterns and trader types. Moreover, increasing connectivity generally leads to positive outcomes for some individual traders, but this does not necessarily imply better outcomes at the system level. Overall, our model provides an empirically-grounded, stylized representation of a fisheries trading system, and reveals important trade-offs that should be considered when evaluating the potential effect of future changes in regional trade networks.

Small-scale fisheries’ actors increasingly face new challenges, including climate driven shifts in marine resource distribution and productivity. Diversification of target species and fishing locations is a key mechanism to adapt to such changes and maintain fisheries livelihoods. Here we explore environmental and institutional factors mediating how patterns of spatial diversification (i.e., utilization of alternative fishing grounds) and target species diversification change over time. Using small-scale fisheries in Baja California Sur (Mexico) as a case study, we adopt a social-ecological network approach to conduct a spatially explicit analysis of fisheries landings data (2008–2016). This approach quantifies relative patterns of diversification, and when combined with a qualitative analysis of existing literature, enables us to illuminate institutional and environmental factors that may influence diversification strategies. Our results indicate that interannual changes in spatial diversification are correlated with regional oceanographic change, while illustrating the heterogeneity and dynamism of diversification strategies. Rather than acting in isolation, we hypothesize that environmental drivers likely operate in combination with existing fisheries regulations and local socioeconomic context to mediate spatial diversification. We argue that small-scale fisheries policies need to better account such linkages as we move towards an increasingly variable environment. Overall, our results highlight spatial diversification as a dynamic process and constitute an important step towards understanding and managing the complex mechanisms through which environmental changes affect small-scale fisheries.

Small-Scale Fisheries (SSF) are increasingly facing shocks and changes that affect their capacity to provide food and maintain the livelihoods of millions of people who depend on fishing activities. At the same time, SSF influence and are influenced by interactions across scales, where interdependencies between different places are increasingly evident. In this context, there is a need to better understand actors’ adaptation to such changes, explicitly considering actors that participate in post-harvesting activities and their associated cross-scale interactions. This licentiate thesis aims to understand cross-scale mechanisms that influence the adaptation strategies of SSF actors to environmental changes. The first manuscript (Paper I), contributes towards understanding the spatial diversification (or the mobility of fisheries actors across space) in response to environmental changes. The second manuscript (Paper II), investigates how local trade networks can influence the resilience of fish provision at the individual and the system level. Both manuscripts analyze the influence of the social and social- ecological context in which SSF actors are embedded. They address the effect of fisheries institutions and policies (Paper I), and of the social-ecological network structures in which trading takes place (i.e. local trade networks in Paper II). To investigate these cross-scale mechanisms, I use a combination of methods consisting of network analysis and agent-based modelling, grounded in qualitative empirical research of the case study of Baja California Sur, Mexico. Such combination of structural and dynamic research approaches, with the understanding of a single case study, allows to untangle and interrogate how structures and mechanisms interact in SSF. The results of the two manuscripts describe cross-scale mechanisms in SSF to investigate actors’ adaptation strategies to different environmental changes. They show how such adaptation can create interdependencies between different places, which may ultimately influence outcomes associated to the resilience of SSF at different scales. In addition, the results show how institutions, social and social-ecological relationships can play an important role in influencing the capacities of small-scale fishery actors to adapt to environmental changes. In this way, this licentiate contributes to the cross-scale understanding of small-scale food production systems from a social-ecological perspective.

The sustainable governance and management of small-scale fisheries (SSF) is challenging, largely due to their dynamic and complex nature. Agent-based modeling (ABM) is a computational modeling approach that can account for the dynamism and complexity in SSF by modeling entities as individual agents with different characteristics and behavior, and simulate how their interactions can give rise to emergent phenomena, such as over-fishing and social inequalities. The structurally realistic design of agent-based models allow stakeholders, experts, and scientists across disciplines and sectors to reconcile different knowledge bases, assumptions, and goals. ABMs can also be designed using any combination of theory, quantitative data, or qualitative data. In this publication we elaborate on the untapped potential of ABM to tackle governance and management challenges in SSF, discuss the limitations of ABM, and review its application in published SSF models. Our review shows that, although few models exist to date, ABM has been used for diverse purposes, including as a research tool for understanding cooperation and over-harvesting, and as a decision-support tool, or participatory tool, in case-specific fisheries. Even though the development of ABMs is often time- and resource intensive, it is the only dynamic modeling approach that can represent entities of different types, their heterogeneity, actions, and interactions, thus doing justice to the complex and dynamic nature of SSF which, if ignored can lead to unintended policy outcomes and less sustainable SSF.

A thorough understanding of long-term temporal social-ecological dynamics at the national scale helps to explain the current condition of a country's ecosystems and to support environmental policies to tackle future sustainability challenges. We aimed to develop a methodological approach to understand past long-term (1960-2010) social-ecological dynamics in Spain. First, we developed a methodical framework that allowed us to explore complex social-ecological dynamics among biodiversity, ecosystem services, human well-being, drivers of change, and institutional responses. Second, we compiled 21 long-term, national-scale indicators and analyzed their temporal relationships through a redundancy analysis. Third, we used a Bayesian change point analysis to detect evidence of past social-ecological thresholds and historical time periods. Our results revealed that Spain has passed through four social-ecological thresholds that define five different time periods of nature and society relationships. Finally, we discussed how the proposed methodological approach helps to reinterpret national-level ecosystem indicators through a new conceptual lens to develop a more systems-based way of understanding long-term social-ecological patterns and dynamics.