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Abstract Smallholder farms support the livelihoods of 2.5 billion people and their decisions on how to manage their land has profound consequences for the environment and the food security of billions of people. However, farmers' values, norms and resulting management practices are usually not formed in isolation. Triangulating multiple analytical, modelling and simulation methods, we investigated if and how social influence exerted through peer‐to‐peer information exchange affect soil nutrition management among 2734 Indonesian smallholder cocoa farmers across 30 different villages. The results show that the relational structures of these village‐based social networks strongly relate to farmers' use of fertiliser. In villages with highly centralised networks (i.e. hub‐and‐spoke networks where one or very few farmers holds disproportionately central position in the village network), a large majority of farmers report the same fertiliser use, and that practice is typically to avoid using fertilisers. By contrast, in less centralised networks, fertiliser use varies widely. The observed community‐level distributions of fertiliser use can be most closely reproduced through simulations by complex contagion mechanisms in which social influence is only exerted by opinion leaders that are much more socially connected than others. However, even such leaders' abilities to influence others to change fertiliser use may be limited in practice. The combination of our quantitative and qualitative findings provides significant policy implications for development programs targeting smallholder farming communities. An important practical lesson is that common interventions which primarily engage socially central farmers may not be effective in stimulating desired transitions in social‐ecological systems. Read the free Plain Language Summary for this article on the Journal blog.

Abstract Ecosystem regime shifts can have severe ecological and economic consequences, making it a top priority to understand how to make systems more resilient. Theory predicts that spatial connectivity and the local environment interact to shape resilience, but empirical studies are scarce. Here, we use >7000 fish samplings from the Baltic Sea coast to test this prediction in an ongoing, spatially propagating shift in dominance from predatory fish to an opportunistic mesopredator, with cascading effects throughout the food web. After controlling for the influence of other drivers (including increasing mesopredator densities), we find that predatory fish habitat connectivity increases resilience to the shift, but only when densities of fish-eating top predators (seals, cormorants) are low. Resilience also increases with temperature, likely through boosted predatory fish growth and recruitment. These findings confirm theoretical predictions that spatial connectivity and the local environment can together shape resilience to regime shifts.

Recent studies have highlighted the relational nature of co-management and investigated which kinds of social network structures define its possibilities to perform, adapt and deal with uncertainty and change. However, there is less understanding about the impacts of disasters and abrupt perturbations on co-management networks. Here we present a social network analysis of the impacts of the 2010 tsunami on co-management in the Chilean fishery. Based on data collected in 21 fisher organizations in the Bio-Bío region, heavily impacted by the tsunami, we assess whether and how co-management facilitating and hindering social relationships have changed after the event, as compared to 16 non-impacted organizations in the Valparaíso region. Baseline data (i.e., 2008) from both regions allows for before-after longitudinal analysis. Our findings show that after the tsunami, co-management networks in Bio-Bío present reduced fragmentation and higher levels of perceived trust among actors in comparison to the non-affected region. A slightly lower tendency towards decentralization was also observed. These findings suggest that post-disaster adjustments have occurred within the same networks. Co-management networks were flexible enough to be rewired as a consequence of abrupt perturbations triggered by the tsunami. Participatory network-based interventions, such as the Chilean MEABR co-management policy, provide a stable and at the same time adaptive setting to respond to coastal disasters.

Abstract Complex networks of relationships among and between people and nature (social‐ecological networks) play an important role in sustainability; yet, we have limited empirical understanding of their temporal dynamics. We empirically examine the evolution of a social‐ecological network in a common‐pool resource system faced with escalating social and environmental change over the past two decades. We first draw on quantitative and qualitative data collected between 2002 and 2018 in a Papua New Guinean reef fishing community to provide contextual evidence regarding the extent of social and environmental change being experienced. We then develop a temporal multilevel exponential random graph model using complete social‐ecological network data, collected in 2016 and 2018, to test key hypotheses regarding how fishing households have adapted their social ties in this context of change given their relationships with reef resources (i.e. social‐ecological ties). Specifically, we hypothesized that households will increasingly form tight‐knit, bonding social and social‐ecological network structures (H1 and H3, respectively) with similar others (H2), and that they will seek out resourceful actors with specialized knowledge that can promote learning and spur innovation (H4). Our results depict a community that is largely ‘bunkering down’ and looking inward in response to mounting risk to resource‐dependent livelihoods and a breakdown in the collaborative processes that traditionally sustained them. Community members are increasingly choosing to interact with others more like themselves (H2), with friends of friends (H1), and with those connected to interdependent ecological resources (H3)—in other words, they are showing a strong, increasing preference for forming bonding social‐ecological network structures and interacting with like‐minded, similar others. We did not find strong support for H4. Bonding network structures may decrease the risk associated with unmonitored behaviour and help to build trust, thereby increasing the probability of sustaining cooperation over time. Yet, increasing homophily and bonding ties can stifle innovation, reducing the ability to adapt to changing conditions. It can also lead to clustering, creating fault lines in the network, which can negatively impact the community's ability to mobilize and agree on/enforce social norms, which are key for managing common resources. Read the free Plain Language Summary for this article on the Journal blog.

The burgeoning literature on compound disasters has advanced the understanding on the causes and drivers of multiple hazard events. Yet, so far, this literature has provided limited insights concerning how multiple hazard events, triggering compounded emergencies, challenge emergency response systems. Here we develop a diagnostic to assess specific challenges facing response systems when confronted with spatially and/or temporally compounded hazard events. The diagnostic comprises three elements. First, compound emergency scenarios are defined based on biophysical links within and between communities, and/or temporal overlap between hazardous events. Second, by drawing from recent public administration literatures, we develop a network-centric model of an emergency response system consisting of actors, venues and functions. Third, we formulate a set of diagnostic questions to specify whether and how compound emergencies challenge response systems. These advances together form a diagnostic tool for researchers as well as practitioners to identify potential weak spots in emergency response systems. The diagnostic also helps assessing what cognitive, preparatory, and planning capacities are needed to ensure more effective responses to compound emergencies.

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.

Abstract Environmental problems often span a set of challenges that each may engage different policy actors across different policy domains. These challenges, or policy issues, nonetheless exhibit interdependencies that may constrain the ability of actors to work together towards joint solutions. Still, we have limited knowledge about whether and how policy issue interdependencies actually shape how actors collaborate. Using data derived from two venues for collaborative water governance in the Norrström basin, Sweden, we investigate whether and how policy issues and policy issue interdependencies influence actors' selection of collaborative partners. We test two alternative sets of propositions; one set assumes that partner selection is driven by actors' engagement in policy issues and their interdependencies, while the other set emphasises social positions and actor attributes. Our results show that in one venue, actors' choices of collaborative partner were associated with factors from both sets, but not with policy issue interdependencies specifically. In the other venue, only actor and relational attributes shaped social tie formation. These results suggest that how actors interact does not necessarily align with the policy issues and the policy issue interdependencies defined by the environmental problem they are to address. Our results provide an important step towards arriving at evidence‐based recommendations for more effective collaborative efforts in addressing complex environmental problems that no actor can address alone. A free Plain Language Summary can be found within the Supporting Information of this article.

Abstract Collaborative approaches to environmental governance are drawing increased interest in research and practice. In this article we investigate the structure and functioning of actor networks engaged in collaboration. We specifically seek to advance understanding of how and why collaborative networks are formed as actors engage in addressing two broad classes of collective action problems: coordination and cooperation. It has been proposed that more risk‐prone cooperative problems favour denser and more cohesive bonding network structures, whereas less risky coordination problems favour sparser and more centralized bridging structures. Recent empirical findings, however, cast some doubts on these assumptions. In building on previous work we propose and evaluate a set of propositions in order to remedy these ambiguities. Our propositions build on the assumption that bridging structures could, if actors experience sufficient levels of trust in the collaborative process, adequately support both cooperation and coordination problems. Our empirical investigation of four UNESCO Man and Biosphere Reserves gives initial support for our assumptions, and suggests that bridging structures emerge when actors have trust in the collaborative endeavour, and/or when the cost of collaborative failure is deemed low. While caution is warranted due to data limitations, our findings contribute to improved policies and guidelines on how to stimulate and facilitate more effective collaborative approaches to environmental governance. A free Plain Language Summary can be found within the Supporting Information of this article.

The relationships between people can have important consequences for the systems they depend on. Here the authors show that when coral reef fishers face commons dilemmas, the formation of cooperative communication with competitors can lead to positive gains in reef fish biomass and functional richness.

The dynamics and adaptive capacity of social-ecological systems are heavily contingent on system structure, which is established through geography, institutions, interactions, and movement. Contrasting views of system structure, as hierarchies and single-level networks respectively, have tended to emphasize the role of either top-down or lateral (peer-to-peer) connections. The concept of a heterarchy aims to capture both top-down and lateral connections on orthogonal axes and has been proposed as a way of unifying alternative approaches to measuring structure, but it has not been fully operationalized for quantifying and comparing system structures. We developed a simple approach to consistently quantifying heterarchical structure across different kinds of networks. We first calculated suitable metrics, including modularity and a hierarchy score, for a wide range of both simulated and real-world systems including food webs, biological, infrastructure, and social networks. Metrics were corrected for differences in size and magnitude. The results were then visualized as a heterarchy matrix. We compared the angle (degrees) and Euclidian distance of each simulated and real-world network from the center of the matrix between network groups. All networks showed distinct placement on the heterarchy matrix. Relative to one another, food webs were laterally polycentric, social networks were mainly pyramidal and coordinated polycentric, and biological networks were pyramidal and laterally polycentric. Our test of concept, although relatively basic, provides strong evidence that system structure cannot be fully understood as purely laterally connected or purely hierarchical. System resilience requires a trade-off between modularity, aiding redundancy and collaboration; and hierarchy, aiding efficient action. Our approach has the potential to provide a robust, accessible methodology to quantify system structure that allows for universal contextualization, a key step within fields such as resilience and sustainability science.

The ability to effectively resolve complex environmental problems hinges upon the capacity to address several different challenges in concert. These challenges, what we refer to as policy issues, often relate to one another – they interdepend. Policy issue interdependency has been extensively theorised in the literature, yet few methodological approaches and little empirical evidence exist to translate the concept of policy issue interdependency to the on-the-ground realities facing policy actors in specific cases and contexts. We build from previous studies to develop a methodological procedure that investigates policy issue interdependencies in ways that take into account what measures and possible solutions policy actors have at their disposal in specific cases for specific environmental problems. By applying our methodological procedure to a case of water governance in Sweden, four insights emerged. First, validation by stakeholders confirms that our procedure produces reliable results. Second, we find that many, but certainly not all, policy issues are interdependent. More specifically, different patterns of policy issue interdependencies are associated with the biophysical and the governance spheres, respectively. Third, our results suggest that policy issue interdependencies are most important to consider when the overall level of interdependency is moderate. Last, our study raises new questions about policy actors’ perception of policy issue interdependencies. In particular, a key question for future research would be if reinforcing (win-win) or counteracting (trade-off) interdependencies are easier to comprehend and act on for policy actors.

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.

Sustainable fisheries require strong management and effective governance. However, small-scale fisheries (SFF) often lack formal institutions, leaving management in the hands of local users in the form of various governance approaches (e.g., local, traditional, or co-management). The effectiveness of these approaches inherently relies upon some level of cohesion among resource users to facilitate agreement on common policies and practices regarding common pool fishery resources. Understanding the factors driving the formation and maintenance of community cohesion in SSF is therefore critical if we are to devise more effective participatory governance approaches and encourage and empower decentralized, localized, and community-based resource management approaches. Here, we adopt a social relational network perspective to propose a suite of hypothesized drivers that lead to the establishment of social ties among fishers that build the foundation for community cohesion. We then draw on detailed data from Jamaica’s small-scale fishery to empirically test these drivers by employing a set of nested exponential random graph models (ERGMs) based on specific structural building blocks (i.e., network configurations) theorized to influence the establishment of social ties. Our results demonstrate that multiple drivers are at play, but that collectively, gear-based homophily, geographic proximity, and leadership play particularly important roles. We discuss the extent to which these drivers help explain previous experiences, as well as their implications for future and sustained collective action in SSF in Jamaica and elsewhere.

Countries’ reliance on global food trade networks implies that regionally different climate change impacts on crop yields will be transmitted across borders. This redistribution constitutes a significant challenge for climate adaptation planning and may affect how countries engage in cooperative action. This paper investigates the long-term (2070–2099) potential impacts of climate change on global food trade networks of three key crops: wheat, rice and maize. We propose a simple network model to project how climate change impacts on crop yields may be translated into changes in trade. Combining trade and climate impact data, our analysis proceeds in three steps. First, we use network community detection to analyse how the concentration of global production in present-day trade communities may become disrupted with climate change impacts. Second, we study how countries may change their network position following climate change impacts. Third, we study the total climate-induced change in production plus import within trade communities. Results indicate that the stability of food trade network structures compared to today differs between crops, and that countries’ maize trade is least stable under climate change impacts. Results also project that threats to global food security may depend on production change in a few major global producers, and whether trade communities can balance production and import loss in some vulnerable countries. Overall, our model contributes a baseline analysis of cross-border climate impacts on food trade networks.

Communication between resource users has repeatedly been shown to be of significant importance in environmental management. The proposed causal mechanisms are numerous, ranging from the ability of users to share information to their ability to negotiate solutions to common problems and dilemmas. However, what is less known is under what conditions these potential causal mechanisms are important and if, in cases when different means other than communication were available, whether they would be more effective in accomplishing these objectives. An example of such an alternative could be that instead of (or in addition to) users being reliant on within-group communication to acquire useful information an intermediary-such as a public agency-could provide that for them. Furthermore, the different causal mechanisms making communication beneficial might not be independent, neither in respect to each other, nor in respect to other externally imposed means to facilitate better environmental management, and not in regards to different contextual factors. This study makes use of laboratory experiments in an innovative way to explore these questions and specifically test the relative importance of communication in managing complex social-ecological system characterized by common-pool resource dilemmas, ecological interdependencies, and asymmetric resource access-all characteristics being present simultaneously. We find that when resources users are confronted with such a complex challenge, the ability to communicate significantly increases individual and group performance. What is more surprising is the negative effect on overall outcomes that providing external information has on outcomes, when the users also have the ability to communicate. By analysing the content of the conversations we are able to suggest several possible explanations on how the combination of external information provisioning and user communications act to increase individual cognitive load and drives intra-group competition, leading to a significant reduction of individual and group outcomes.

Las redes sociales entre actores y grupos de interés están recibiendo cada vez más atención en los estudios sobre la gestión de los recursos naturales, especialmente en los que se refieren a la gestión adaptativa basada en diferentes formas de participación y cogestión. Las redes sociales se han concebido principalmente como recursos que habilitan la colaboración y la coordinación entre diferentes actores. Aquí, continuamos la discusión iniciada por Newman y Dale (2005), que destacaron el hecho de que no todas las redes sociales son creadas iguales. Discutimos la relación entre algunas características estructurales y las funciones de las redes sociales con respecto al manejo de los recursos naturales, centrándonos en las implicaciones estructurales que a menudo se pasan por alto al estudiar las redes en el contexto del manejo de los recursos naturales. Presentamos varias medidas que se utilizan para cuantificar las características estructurales de las redes sociales y vincularlas con una serie de procesos como el aprendizaje, el liderazgo y la confianza, que se consideran importantes en el manejo de recursos naturales. Se muestra esquemáticamente que puede haber yuxtaposiciones entre las diferentes características estructurales que necesitan ser equilibradas en lo que nos imaginamos como estructuras de redes sociales conducentes a la cogestión adaptativa de los recursos naturales. Sostenemos que es esencial desarrollar una comprensión de los efectos que las diferentes características estructurales de las redes sociales tienen sobre la gestión de los recursos naturales.

Local governments, or municipalities, play a key role in water governance around the world owing to the many administrative competencies they hold, ranging from water service delivery to urban planning. However, the ability of municipalities to carry out their competencies effectively depends in large part on the characteristics of the institutional arrangements in which they are embedded. In particular, the relationship between municipalities and watershed governance institutions has received little attention in the literature on polycentric and multilevel governance. Drawing on insights from diverse cases around the world, we argue that empirical research must pay closer attention to the links, or lack thereof, between municipalities and watershed governance institutions to improve the sustainability of water governance outcomes in practice. We identify a set of critical issues affecting municipalities' engagement in governance at the watershed scale that broadly apply across different contexts, and which we argue deserve more attention in future research: (1) disconnect and ambiguities of authority across hierarchical levels; (2) internal and external challenges to municipalities engaging in effective collaborations; (3) barriers to expanding the scope of traditional municipal affairs; and (4) misalignment of biophysical, institutional, and political timescales.

Multi-stakeholder environmental management and governance processes are essential to realize social and ecological outcomes. Participation, collaboration, and learning are emphasized in these processes; to gain insights into how they influence stakeholders' evaluations of outcomes in relation to management and governance interventions we use a path analysis approach to examine their relationships in individuals in four UNESCO Biosphere Reserves. We confirm a model showing that participation in more activities leads to greater ratings of process, and in turn, better evaluations of outcomes. We show the effects of participation in activities on evaluation of outcomes appear to be driven by learning more than collaboration. Original insights are offered as to how the evaluations of outcomes by stakeholders are shaped by their participation in activities and their experiences in management and governance processes. Understanding stakeholder perceptions about the processes in which they are involved and their evaluation of outcomes is imperative, and influences current and future levels of engagement. As such, the evaluation of outcomes themselves are an important tangible product from initiatives. Our research contributes to a future research agenda aimed at better understanding these pathways and their implications for engagement in stewardship and ultimately social and ecological outcomes, and to developing recommendations for practitioners engaged in environmental management and governance.

Sustainable fisheries management plays a critical role in supporting healthy marine ecosystems and the livelihoods of millions of people. An emerging view on fisheries management emphasizes the need to manage fisheries as complex social-ecological systems. Yet, our understanding of the outcomes of fisheries management from a social-ecological perspective is limited in comparison to that provided by either the biophysical or the social perspective alone. In the Baltic Sea, management interventions focused on ecosystem recovery contributed to unintended changes from 1996 to 2009 in the fishing strategy diversity practiced by Swedish fishers. We evaluate how the changes in strategy diversification affected the capacity of Swedish fishers to adapt to future ecosystem changes. To do this, we constructed and analyzed social-ecological fisheries networks. Our analysis confirmed the previously reported development of a narrower combination of fishing strategies among large-scale fishers, parallel with a diversification in small-scale fishers' strategies. However, the results demonstrated that switching fishing strategies has, in fact, increased in magnitude, and the fishers were more equally distributed in different fishing strategies in 2009 than in 1996. Further, we detected a development toward lower ecological dependency between fishing strategies within the community, although the strategies remained connected through ecological interactions. In conclusion, our analysis of the social-ecological interdependencies suggests that the previously reported changes in the fishing strategy diversity increased the adaptability of the Swedish Baltic Sea fishers to changing ecological conditions. On the other hand, the changes may have made the Baltic Sea more vulnerable to poor management. This empirical study emphasizes the importance of a social-ecological approach on fisheries research and management. Our results show that appreciating the complexity and changing nature of fisher behavior is crucial when assessing fisheries management outcomes, and when designing policies that aim to maintain adaptability in the uncertain and dynamic fish industry.

Social networks are frequently cited as vital for facilitating successful adaptation and transformation in linked social-ecological systems to overcome pressing resource management challenges. Yet confusion remains over the precise nature of adaptation vs. transformation and the specific social network structures that facilitate these processes. Here, we adopt a network perspective to theorize a continuum of structural capacities in social-ecological systems that set the stage for effective adaptation and transformation. We begin by drawing on the resilience literature and the multilayered action situation to link processes of change in social-ecological systems to decision making across multiple layers of rules underpinning societal organization. We then present a framework that hypothesizes seven specific social-ecological network configurations that lay the structural foundation necessary for facilitating adaptation and transformation, given the type and magnitude of human action required. A key contribution of the framework is explicit consideration of how social networks relate to ecological structures and the particular environmental problem at hand. Of the seven configurations identified, three are linked to capacities conducive to adaptation and three to transformation, and one is hypothesized to be important for facilitating both processes. We discuss how our theoretical framework can be applied in practice by highlighting existing empirical examples from related environmental governance contexts. Further extension of our hypotheses, particularly as more data become available, can ultimately help guide the design of institutional arrangements to be more effective at dealing with change.

Adaptive comanagement is at an important cross-road: different research paths forward are possible, and a diagnostic approach has been identified as a promising one. Accordingly, we operationalize a diagnostic approach, using a framework, to set a new direction for adaptive comanagement research. We set out three main first-tier variables: antecedents, process, and outcomes, and these main variables are situated within a fourth: the setting. Within each of these variables, significant depth of study may be achieved by investigating second- and third-tier variables. Causal relationships among variables, and particularly related to the outcomes of adaptive comanagement, may also be investigated at varying depths using the diagnostic framework and associated nomenclature. We believe that the diagnostic approach we describe offers a unifying methodological approach to advancing adaptive comanagement research as well as similar approaches. There are significant benefits to be gained, including building a database of case studies using this common framework, advancing theory, and ultimately, improving social and ecological outcomes.

Understanding the cross-scale nature of how natural resource trading links to local extraction patterns remains a topic of great relevance to stewardship and sustainable use of ecological systems. Microeconomic influences on a society's pattern of small-scale natural resources utilization can exacerbate resource overuse, especially under increased population pressure. In many rural communities that are based on a limited diversity of resource industries, quantifying the response of extractors and traders to market and environmental fluctuations is critical to understanding management constraints. We examine the fishing practices of a small lake in Uganda, East Africa, from the dual perspectives of the traders and the fishers using a Bayesian Belief Network approach based on detailed interview surveys. Fishers in this small lake target Nile perch (Lates niloticus) and Nile tilapia (Oreochromis niloticus), two fish species of high commercial and food security significance in East Africa. We combined data on financial, social, and ecological systems to understand how aspects of trading quantitatively relate to fish extraction patterns in Lake Nabugabo Uganda. Importantly, we find that the patron-client type relationships generate incentives to extract specific fish, whereas "freelancer" independent fishers are able to create responsive and flexible extraction practices that match market and environmental fluctuations. Management of fishing administered by local Beach Management Units will likely have a higher probability of success when in synchrony with trading relationships and ecological dynamics. We use this study in Uganda to reflect on methodological challenges and opportunities of combining multiple types of data sets for cross-scale analysis of social-ecological system dynamics.

Landscape connectivity is considered a priority for ecosystem conservation because it may mitigate the synergistic effects of climate change and habitat loss. Climate change predictions suggest changes in precipitation regimes, which will affect the availability of water resources, with potential consequences for landscape connectivity. The Greater Calakmul Region of the Yucatan Peninsula (Mexico) has experienced a 16% decrease in precipitation over the last 50 years, which we hypothesise has affected water resource connectivity. We used a network model of connectivity, for three large endangered species (Baird's tapir, white-lipped peccary and jaguar), to assess the effect of drought on waterhole availability and connectivity in a forested landscape inside and adjacent to the Calakmul Biosphere Reserve. We used reported travel distances and home ranges for our species to establish movement distances in our model. Specifically, we compared the effects of 10 drought scenarios on the number of waterholes (nodes) and the subsequent changes in network structure and node importance. Our analysis revealed that drought dramatically influenced spatial structure and potential connectivity of the network. Our results show that waterhole connectivity and suitable habitat (area surrounding waterholes) is lost faster inside than outside the reserve for all three study species, an outcome that may drive them outside the reserve boundaries. These results emphasize the need to assess how the variability in the availability of seasonal water resource may affect the viability of animal populations under current climate change inside and outside protected areas.

When environmental processes cut across socioeconomic boundaries, traditional top-down government approaches struggle to effectively manage and conserve ecosystems. In such cases, governance arrangements that foster multiactor collaboration are needed. The effectiveness of such arrangements, however, depends on how well any ecological interdependencies across governed ecosystems are aligned with patterns of collaboration. This inherent interdisciplinary and complex problem has impeded progress in developing a better understanding of how to govern ecosystems for conservation in an increasingly interconnected world. We argue for the development of empirically informed theories, which are not only able to transcend disciplinary boundaries, but are also explicit in taking these complex social-ecological interdependences into account. We show how this emerging research frontier can be significantly improved by incorporating recent advances in stochastic modeling of multilevel social networks. An empirical case study from an agricultural landscape in Madagascar is reanalyzed to demonstrate these improvements.

Significant benefits can arise from collaborative forms of governance that foster self-organization and flexibility. Likewise, governance systems that fit with the extent and complexity of the system under management are considered essential to our ability to solve environmental problems. However, from an empirical perspective the fundamental question of whether self-organized (bottom-up) collaborative forms of governance are able to accomplish adequate fit is unresolved. We used new theory and methodological approaches underpinned by interdisciplinary network analysis to address this gap by investigating three governance challenges that relate to the problem of fit: shared management of ecological resources, management of interconnected ecological resources, and cross-scale management. We first identified a set of social-ecological network configurations that represent the hypothesized ways in which collaborative arrangements can contribute to addressing these challenges. Using social and ecological data from a large-scale biodiversity conservation initiative in Australia, we empirically determined how well the observed patterns of stakeholder interactions reflect these network configurations. We found that stakeholders collaborate to manage individual parcels of native vegetation, but not for the management of interconnected parcels. In addition, our data show that the collaborative arrangements enable management across different scales (local, regional, supraregional). Our study provides empirical support for the ability of collaborative forms of governance to address the problem of fit, but also suggests that in some cases the establishment of bottom-up collaborative arrangements would likely benefit from specific guidance to facilitate the establishment of collaborations that better align with the ways ecological resources are interconnected across the landscape. In our case study region, this would improve the capacity of stakeholders to detect both the intended and unintended off-site impacts of management actions. Our approach offers an avenue for empirical evaluations of collaborative governance so that preconditions for effectiveness of environmental programs can be enhanced.

Social networks among actors and stakeholders are gaining attention in studies of natural resource management, particularly those of adaptive management based on different forms of participation and co-management. In this sense, social networks have primarily been envisioned as enabling different actors to collaborate and coordinate management efforts. Here, we continue the discussion initiated by Newman and Dale (2005), which highlighted the fact that not all social networks are created equal. We discuss the relation between some structural characteristics and functions of social networks with respect to natural resource management, thus focusing on structural implications that are often overlooked when studying social networks within the context of natural resource management. We present several network measures used to quantify structural characteristics of social networks and link them to a number of features such as learning, leadership, and trust, which are identified as important in natural resource management. We show schematically that there may be inherent juxtapositions among different structural characteristics that need to be balanced in what we envision as social network structures conducive to adaptive co-management of natural resources. We argue that it is essential to develop an understanding of the effects that different structural characteristics of social networks have on natural resource management.

The problem of institutional fit in social-ecological systems has been empirically documented and conceptually discussed for decades, yet there is a shortage of approaches to systematically and quantitatively examine the level of fit. We address this gap, focusing on spatial fit in an urban and peri-urban regional landscape. Such landscapes typically exhibit significant fragmentation of remnant habitats, which can limit critical species dispersal. This may have detrimental effects on species persistence and ecosystem functioning if land use is planned without consideration of the spatial patterns of fragmentation. Managing habitat fragmentation is particularly challenging when the scale of fragmentation reaches beyond the control of single managers, thereby requiring different actors to coordinate their activities to address the problem at the appropriate scale. We present a research approach that maps patterns of collaborations between actors who manage different parts of a landscape, and then relates these patterns to structures of ecological connectivity. We applied our approach to evaluate the fit between a collaborative wetland management network comprising all 26 municipalities in the Stockholm County in Sweden and an ecologically defined network of dispersed but ecologically interconnected wetlands. Many wetlands in this landscape are either intersected by the boundary between two or more municipalities, or are located close to such boundaries, which implies a degree of ecological interconnectedness and a need for intermunicipal coordination related to wetland management across boundaries. We first estimated the level of ecological connectivity between wetlands in neighboring municipalities, and then used this estimate to elaborate the level of social-ecological fit vis-à-vis intermunicipal collaboration. We found that the level of fit was generally weak. Also, we identified critical misalignments of ecological connectivity and intermunicipal collaboration, respectively, as well as collaborations that represented an adequate alignment. These findings inform on where to most effectively allocate limited resources of collaborative capacity to enhance the level of social-ecological fit. Our approach and results are illustrated using maps, which facilitates the potential application of this method in land use planning practice.

We reviewed the literature on leadership in linked social-ecological systems and combined it with the literature on institutional entrepreneurship in complex adaptive systems to develop a new theory of transformative agency in linked social-ecological systems. Although there is evidence of the importance of strategic agency in introducing innovation and transforming approaches to management and governance of such systems, there is no coherent theory to explain the wide diversity of strategies identified. Using Holling's adaptive cycle as a model of phases present in innovation and transformation of resilient social-ecological systems, overlaid by Dorado's model of opportunity context (opaque, hazy, transparent) in complex adaptive systems, we propose a more coherent theory of strategic agency, which links particular strategies, on the part of transformative agents, to phases of system change.

Both global and local environmental problems call for the transformation of many contemporary and unsustainable governance approaches. Therefore, recent interest has sprung up around factors that facilitate and hinder societies from transforming governance of natural resources. Using a social-network approach, we study links between informal power structures and knowledge sharing and consensus building. We examine how this interaction may have affected the (in)ability of a community to move from open-access to some form of collective action for resource management. Individuals occupying central positions in a knowledge network can be instrumental in determining which knowledge and interpretation of ecological signals is most dominant. If the same individuals are also influential in other areas, they are highly likely to become opinion leaders. We use this notion of opinion leaders to frame our study. The study is set in a rural fishing community in East Africa where access to fishing equipment is of utmost importance for generating household income, but such gear ownership is not evenly distributed in the village. Hence, we use gear-exchange networks to explore power. Our results show a clear and strong relationship between centrality in the knowledge network and in-degree centrality (reflecting gear-lending capacity) in the gear-exchange network, supporting the idea that opinion leaders exist. We also indicate that a majority of these potential opinion leaders demonstrate little recognition of declining fisheries. We relate our findings to existing theories of influence and governance transformability at the community level, and explore ideas about how social networks can help identify potential change agents in communities experiencing inertia with respect to collective action for improved resource management.

The social networks is one factor determining the flow of information within communities and as such may be important in determining successful implementation of community based management. We mapped the social network used for communication of knowledge and information related to natural resource extraction among villagers in a coastal seascape in Kenya. We further identified subgroups and examined their interrelations while measuring to what extent personal attributes such as occupation can explain observed group structure. Finally, we compared the local ecological knowledge held by villagers of different occupations with the structure of the communication network to map how well this structure can explain distribution of ecological knowledge among them. Results show that communication occurs primarily between fishermen who use the same gear type, which may inhibit exchange of ecological knowledge within the community. This may partly explain why the community has been unsuccessful in regulating resource extraction, especially since potentially influential groups of nonfishermen have a limited communication with the various fisher groups. Analysis of network structure also shows that groups most central, and hence potentially most influential, are dominated in numbers by migrant deep sea fishermen, hypothetically less motivated to initiate collective action for resource management. Hence, we conclude that a lack of collective action to remedy an unsustainable situation may be attributed to various different but distinct aspects of the specific structure of the social network.

Formal models used to study the resilience of social-ecological systems have not explicitly included important structural characteristics of this type of system. In this paper, we propose a network perspective for social-ecological systems that enables us to better focus on the structure of interactions between identifiable components of the system. This network perspective might be useful for developing formal models and comparing case studies of social-ecological systems. Based on an analysis of the case studies in this special issue, we identify three types of social-ecological networks: (1) ecosystems that are connected by people through flows of information or materials, (2) ecosystem networks that are disconnected and fragmented by the actions of people, and (3) artificial ecological networks created by people, such as irrigation systems. Each of these three archytypal social-ecological networks faces different problems that influence its resilience as it responds to the addition or removal of connections that affect its coordination or the diffusion of system attributes such as information or disease.