The black box of power in polycentric environmental governance

Failure to address unsustainable global change is often attributed to failures in conventional environmental governance. Polycentric environmental governance—the popular alternative—involves many centres of authority interacting coherently for a common governance goal. Yet, longitudinal analysis reveals many polycentric systems are struggling to cope with the growing impacts, pace, and scope of social and environmental change. Analytic shortcomings are also beginning to appear, particularly in the treatment of power. Here we draw together diverse social science perspectives and research into a variety of cases to show how different types of power shape rule setting, issue construction, and policy implementation in polycentric governance. We delineate an important and emerging research agenda for polycentric environmental governance, integrating diverse types of power into analytical and practical models.     

Adaptive environmental governance of changing social-ecological systems: Empirical insights from the Okavango Delta,Botswana

Adaptive management and related fields have theorized new governance strategies that embrace complexity and are able to respond effectively to changing and unpredictable biophysical dynamics. However, this body of work pays inadequate attention to important on-the-ground realities, including feasibility of implementation and the power dynamics embedded in multi-scalar systems of environmental governance. This paper presents findings from a research project on challenges to adaptive management in the variable wetland ecosystem of the Okavango Delta, Botswana. Many residents of this rural region rely on transitional agricultural practices, shifting between dryland and floodplain farming in response to dynamic precipitation and flooding patterns. Higher than average floods in 2009–2011 inundated many floodplain fields past the point of production, causing farmers to shift to the dryland for multiplem seasons. At the same time, the highly centralized Government of Botswana began to implement stricter regulations over floodplain resources, which stemmed in part from a new adaptive management plan developed for the region. As a result, many farmers felt pressured by the government to abandon transitional livelihood practices and to shift permanently to dryland agriculture even though many preferred to continue floodplain farming. This loss of a responsive livelihood strategy will likely result in decreased long-term adaptive capacity for many residents. Drawing on these findings, this paper advances the argument that if adaptive management is to become a viable option for communities in changing environments, more attention must be given to the role of unequal power relations in multi-scalar systems of environmental governance.     

Assisted network governance: An inclusive innovation to mitigate extreme water scarcity

We study a local innovation of natural resource governance in Chile in times of extreme water scarcity. Through the issuance of a scarcity decree, the government obliges local water user associations (WUAs) to reach viable water redistribution agreements in order to avoid being overruled by the state. In the Aconcagua River, the government together with the WUAs created the Executive Committee, where only the WUAs have a vote, but private and public stakeholders participate in the process of negotiating water use agreements. Grounded on thematic coding of the detailed minutes of over 80 committee meetings since its inception, we examine the workings of a new local model of Assisted Network Governance (ANG). Based on content and social network analysis of over 1,000 directed interactions among committee members, we find that ANG, as an element of broader hybrid governance, has not only produced viable agreements for immediate water redistribution, but has also facilitated longer-term system improvements by building mutual understanding, resolving conflicts, and mobilizing external resources to improve infrastructure. We conclude that ANG helps accomplish common objectives in the field of natural resources under conditions of extreme water scarcity.     

Approaches to evaluating model quality across different regime types in environmental and public health governance

A reliance on mathematical modelling is a defining feature of modern global environmental and public health governance. Initially hailed as the vanguard of a new era of rational policy-making, models are now habitually subject to critical analyses. Their quality, in other words, is routinely queried, yet what exactly is quality in this context? The prevailing paradigm views model quality as a multi-dimensional concept, encompassing technical dimensions (e.g. precision and bias), value judgments, problem-framing, treatment of “deep” uncertainties, and pragmatic features of particular decision contexts. Whilst those technical dimensions are relatively simple to characterise, the broader dimensions of quality are less easily formalised and as a result are difficult to take account of during model construction and evaluation. Here, we present a typology of governance regimes (risk-based, precautionary, adaptive and participatory) that helps make explicit what these broader dimensions of model quality are, and sketches out how the emphasis placed on them differs by regime type. We show that these regime types hold distinct positions on what constitutes sound evidence, on how that evidence should be used in policy-making, and to what social ends. As such, a model may be viewed within one regime as providing legitimate evidence for action, be down-weighted elsewhere for reflecting a flawed problem-framing, and outright rejected in another jurisdiction on the grounds that it does not cohere with the preferred ethical framework for decision-making. We illustrate these dynamics by applying our typology to a range of policy domains, emphasising both the disconnects that can occur, as well as the ways that modellers have adapted their practices to ensure that their evidence is brought to bear on policy problems across diverse regime types.     

Environmentalities of urban climate governance in Maputo,Mozambique

Interest in the role that cities can play in climate change as sites of transformation has increased but research has been limited in its practical applications and there has been limited consideration of how policies and technologies play out. These challenges necessitate a re-thinking of existing notions of urban governance in order to account for the practices that emerge from governments and a plethora of other actors in the context of uncertainty. We understand these practices to constitute adaptive governance, underpinned by social learning guiding the actions of the multiplicity of actors. The aim here is to unpack how social learning for adaptive governance requires attention to competing understandings of risk and identity, and the multiplicity of mechanisms in which change occurs or is blocked in urban climate governance. We adopt a novel lens of ‘environmentalities’ which allows us to assess the historical and institutional context and power relations in the informal settlements of Maputo, Mozambique. Our findings highlight how environmental identities around urban adaptation to climate change are constituted in the social and physical divisions between the formal and informal settlements, whilst existing knowledge models prioritise dominant economic and political interests and lead to the construction of new environmental subjects. While the findings of this study are contextually distinct, the generalizable lessons are that governance of urban adaptation occurs and is solidified within a complex multiplicity of socio-ecological relations.     

Seeing the forest and the trees: Facilitating participatory network planning in environmental governance

Governance processes to address environmental change involve many different actors from multiple spatial, temporal and socio-political scales, not all of whom are connected by hierarchy and whose actions cannot always be mandated. In the environmental governance literature, Social Network Analysis (SNA) has been found useful in understanding complex governance arrangements. In this paper we present and reflect on our experience with the Net-Map tool for participatory network mapping. The Net-Map tool was applied in three transdisciplinary case studies for three different purposes: (a) to contribute to an improved understanding of biodiversity knowledge flows in Europe, (b) to explore the interplay between actors with influence on water, agriculture, and energy developments at the Blue Nile in Ethiopia, and (c) to understand the challenges facing stakeholders engaged in conservation and economic development in a Southeast Asian mountain range. The case studies explore how network maps can serve as boundary objects to engage stakeholders of diverse points of view and jointly design strategies to address governance challenges. More specifically they show how network maps are used to gain a better understanding of governance situations, to help stakeholders identify strategies for navigation of the complex networks in which they are embedded and to support transdisciplinary research processes. We close with some reflections on the potential and limitations of the Net-Map tool in facilitating multi-stakeholder processes and disentangling complex governance arrangements.     

Poverty, sustainability and human wellbeing: A social wellbeing approach to the global fisheries crisis

The purpose of this paper is to explore the extent to which a social wellbeing approach can offer a useful way of addressing the policy challenge of reconciling poverty and environmental objectives for development policy makers. In order to provide detail from engagement with a specific policy challenge it takes as its illustrative example the global fisheries crisis. This crisis portends not only an environmental disaster but also a catastrophe for human development and for the millions of people directly dependent upon fish resources for their livelihoods and food security. The paper presents the argument for framing the policy problem using a social conception of human wellbeing, suggesting that this approach provides insights which have the potential to improve fisheries policy and governance. By broadening the scope of analysis to consider values, aspirations and motivations and by focusing on the wide range of social relationships that are integral to people achieving their wellbeing, it provides a basis for better understanding the competing interests in fisheries which generate conflict and which often undermine existing policy regimes.     

A conceptual framework for analysing adaptive capacity and multi-level learning processes in resource governance regimes

Governance failures are at the origin of many resource management problems. In particular climate change and the concomitant increase of extreme weather events has exposed the inability of current governance regimes to deal with present and future challenges. Still our knowledge about resource governance regimes and how they change is quite limited. This paper develops a conceptual framework addressing the dynamics and adaptive capacity of resource governance regimes as multi-level learning processes. The influence of formal and informal institutions, the role of state and non-state actors, the nature of multi-level interactions and the relative importance of bureaucratic hierarchies, markets and networks are identified as major structural characteristics of governance regimes. Change is conceptualized as social and societal learning that proceeds in a stepwise fashion moving from single to double to triple loop learning. Informal networks are considered to play a crucial role in such learning processes. The framework supports flexible and context sensitive analysis without being case study specific.First empirical evidence from water governance supports the assumptions made on the dynamics of governance regimes and the usefulness of the chosen approach. More complex and diverse governance regimes have a higher adaptive capacity. However, it is still an open question how to overcome the state of single-loop learning that seem to characterize many attempts to adapt to climate change. Only further development and application of shared conceptual frameworks taking into account the real complexity of governance regimes can generate the knowledge base needed to advance current understanding to a state that allows giving meaningful policy advice.     

Science with society: Evidence-based guidance for best practices in environmental transdisciplinary work

Transdisciplinary research is a promising approach to address sustainability challenges arising from global environmental change, as it is characterized by an iterative process that brings together actors from multiple academic fields and diverse sectors of society to engage in mutual learning with the intent to co-produce new knowledge. We present a conceptual model to guide the implementation of environmental transdisciplinary work, which we consider a “science with society” (SWS) approach, providing suggested activities to conduct throughout a seven-step process. We used a survey with 168 respondents involved in environmental transdisciplinary work worldwide to evaluate the relative importance of these activities and the skills and characteristics required to implement them successfully, with attention to how responses differed according to the gender, geographic location, and positionality of the respondents. Flexibility and collaborative spirit were the most frequently valued skills in SWS, though non-researchers tended to prioritize attributes like humility, trust, and patience over flexibility. We also explored the relative significance of barriers to successful SWS, finding insufficient time and unequal power dynamics were the two most significant barriers to successful SWS. Together with case studies of respondents’ most successful SWS projects, we create a toolbox of 20 best practices that can be used to overcome barriers and increase the societal and scientific impacts of SWS projects. Project success was perceived to be significantly higher where there was medium to high policy impact, and projects initiated by practitioners/other stakeholders had a larger proportion of high policy impact compared to projects initiated by researchers only. Communicating project results to academic audiences occurred more frequently than communicating results to practitioners or the public, despite this being ranked less important overall. We discuss how these results point to three recommendations for future SWS: 1) balancing diverse perspectives through careful partnership formation and design; 2) promoting communication, learning, and reflexivity (i.e., questioning assumptions, beliefs, and practices) to overcome conflict and power asymmetries; and 3) increasing policy impact for joint science and society benefits. Our study highlights the benefits of diversity in SWS - both in the types of people and knowledge included as well as the methods used - and the potential benefits of this approach for addressing the increasingly complex challenges arising from global environmental change.     

The role of social networks in natural resource governance: What relational patterns make a difference?

Resent research has identified the existence of social networks as a common and important denominator in cases where different stakeholders have come together to effectively deal with natural resource problems and dilemmas. It has even been shown that social networks can be more important than the existence of formal institutions for effective enforcement and compliance with environmental regulations. However, all social networks are not created equal. On the contrary, the structural pattern of relations (i.e. the topology) of a social network can have significant impact on how actors actually behave. This clearly has implications for actors’ abilities to manage environmental challenges. This review aims to add more precision to initial insights and pending hypotheses about the positive impacts of social networks on governance processes and outcomes, by reviewing and synthesizing empirically based literature explicitly studying structural characteristics of social networks in natural resource governance settings. It is shown that significant differences in governance processes and outcomes can be expected among networks experiencing structural differences in terms of density of relations, degree of cohesiveness, subgroup interconnectivity, and degree of network centralization. Furthermore, the review shows that none of these structural characteristics present a monotonically increasing positive effect on processes of importance for resource governance, and that favoring one characteristic likely occurs at the expense of another. Thus, assessing the most favorable level and mix of different network characteristics, where most of the positive governance effects are obtained while undesired effects are minimized, presents a key research and governance challenge.     

Network analysis reveals open forums and echo chambers in social media discussions of climate change

Action to tackle the complex and divisive issue of climate change will be strongly influenced by public perception. Online social media and associated social networks are an increasingly important forum for public debate and are known to influence individual attitudes and behaviours – yet online discussions and social networks related to climate change are not well understood. Here we construct several forms of social network for users communicating about climate change on the popular microblogging platform Twitter. We classify user attitudes to climate change based on message content and find that social networks are characterised by strong attitude-based homophily and segregation into polarised “sceptic” and “activist” groups. Most users interact only with like-minded others, in communities dominated by a single view. However, we also find mixed-attitude communities in which sceptics and activists frequently interact. Messages between like-minded users typically carry positive sentiment, while messages between sceptics and activists carry negative sentiment. We identify a number of general patterns in user behaviours relating to engagement with alternative views. Users who express negative sentiment are themselves the target of negativity. Users in mixed-attitude communities are less likely to hold a strongly polarised view, but more likely to express negative sentiment towards other users with differing views. Overall, social media discussions of climate change often occur within polarising “echo chambers”, but also within “open forums”, mixed-attitude communities that reduce polarisation and stimulate debate. Our results have implications for public engagement with this important global challenge.     

Understanding water pollution management: Evidence and insights from incorporating cultural theory in social network analysis

Social network analysis gives a rigid assessment of network structure while cultural theory helps explain management outcomes in more detail. The combination of these methods provides significant and alternative insights about the complexity of water pollution management. Applied in the case study of the Calumpang Watershed in the Philippines, two types of relations were evaluated, namely, resource sharing and cooperative activities. Factors affecting cooperation and the creation of bridges were assessed in social network analysis, while cultural theory was used to reveal the underlying views of key actors on the nature of the river and its management. Evidence showed that cooperation was significantly influenced by resource sharing regardless of institutional affiliation, while bridges were created by becoming the pools of information and resources in the network. Using cultural theory, this study found out that local government officials dominantly have a mixture of hierarchist and egalitarian views characterizing belief in both rule-bound and group-motivated actions to solve the water pollution problem. However, their egalitarian views on management did not manifest in the current network. The study concludes that collaborative partnerships for water pollution management can be facilitated by promoting resource flow, utilizing influential bridges in the network, and understanding the unconventional values of government actors. Combining social network analysis and cultural theory is recommended to generate a more critical assessment of the institutional complexity of pollution and other water issues in watersheds.     

Social cohesion and passive adaptation in relation to climate change and disease

Climate change affects biophysical processes related to the transmission of many infectious diseases, with potentially adverse consequences for the health of communities. While our knowledge of biophysical associations between meteorological factors and disease is steadily improving, our understanding of the social processes that shape adaptation to environmental perturbations lags behind. Using computational modeling methods, we explore the ways in which social cohesion can affect adaptation of disease prevention strategies when communities are exposed to different environmental scenarios that influence transmission pathways for diseases such as diarrhea. We developed an agent-based model in which household agents can choose between two behavioral strategies that offer different levels of protection against environmentally mediated disease transmission. One behavioral strategy is initially set as more protective, leading households to adopt it widely, but its efficacy is sensitive to variable weather conditions and stressors such as floods or droughts that modify the disease transmission system. The efficacy of the second strategy is initially moderate relative to the first and is insensitive to environmental changes. We examined how social cohesion (defined as average number of household social network connections) influences health outcomes when households attempt to identify an optimal strategy by copying the behaviors of socially connected neighbors who seem to have adapted successfully in the past. Our simulation experiments suggest that high-cohesion communities are able to rapidly disseminate the initially optimal behavioral strategy compared to low-cohesion communities. This rapid and pervasive change, however, decreases behavioral diversity; i.e., once a high cohesion community settles on a strategy, most or all households adopt that behavior. Following environmental changes that reduce the efficacy of the initially optimal strategy, rendering it suboptimal relative to the alternative strategy, high-cohesion communities can fail to adapt. As a result, despite faring better early in the course of computational experiments, high-cohesion communities may ultimately experience worse outcomes. In the face of uncertainty in predicting future environmental stressors due to climate change, strategies to improve effective adaptation to optimal disease prevention strategies should balance between intervention efforts that promote protective behaviors based on current scientific understanding and the need to guard against the crystallization of inflexible norms. Developing generalizable models allows us to integrate a wide range of theories and multiple datasets pertaining to the relationship between social mechanisms and adaptation, which can provide further understanding of future climate change impacts. Models such as the one we present can generate hypotheses about the mechanisms that underlie the dynamics of adaptation events and suggest specific points of measurement to assess the impact of these mechanisms. They can be incorporated as modules within predictive simulations for specific socio-ecological contexts.     

Measuring,mapping and quantifying the effects of trust and informal communication on transboundary collaboration in the Great Lakes fisheries policy network

Ecosystem-based management of fisheries and other transboundary natural resources require a number of organizations across jurisdictions to exchange knowledge, coordinate policy goals and engage in collaborative activities. Trust, as part of social capital, is considered a key mechanism facilitating the coordination of such inter-organizational policy networks. However, our understanding of multi-dimensional trust as a theoretical construct and an operational variable in environmental and natural resource management has remained largely untested. This paper presents an empirical assessment of trust and communication measures applied to the North American Great Lakes fisheries policy network. Using a scale-based method developed for this purpose, we quantify the prevalence of different dimensions of trust and in/formal communication in the network and their differentiated impacts on decision-making and goal consensus. Our analysis reveals that calculation-based ‘rational trust’ is important for aligning mutual goals, but relationship-based ‘affinitive trust’ is most significant for influencing decision-making. Informal communication was also found to be a strong predictor of how effectively formal communication will influence decision-making, confirming the “priming” role of informal interactions in formal inter-agency dealings. The results also show the buffering and interactive functions of these components in strengthening institutional resilience, with procedural trust undergirding the system to compensate for a lack of well-developed relationships. Overall, this study provides evidence to suggest that informal communication and multi-dimensional trust constitute a crucial element for improving collaboration and reducing conflict in the networked governance of transboundary natural resource systems.     

干旱区盐碱尘暴的形成、输送及其环境效应

盐碱尘暴是富含细粒硫酸盐和氯化物的化学尘暴,是大气颗粒物PM10的重要来源之一。盐碱尘暴的产生、输送和沉降对区域甚至全球生态环境和气候变化具有重大影响。本文分析了盐碱尘暴的化学组成及其危害,对盐碱尘暴的形成、输送及其环境效应作了研究综述。结果表明：干旱区干涸湖床是盐碱尘暴的发源地,风蚀作用下干涸湖床盐粒和粉尘的扩散过程主要受风场、区域气候特征和地下水埋深的影响。构建综合风动力和下垫面因子的盐粒风蚀物扩散模型,加强盐分风—水两相运移耦合作用及其与流域景观变化的关系研究是盐碱尘暴的突破方向。     

International targets and environmental policy integration: The 2010 Biodiversity Target and its impact on international policy and national implementation in Latin America and the Caribbean

International environmental policy has evolved from a focus on single issues to more integrated approaches under the framework of sustainable development. This transition has been accompanied by a growing use of targets among international organisations. Targets have long been used in industry and corporate planning, but some have questioned their relevance in the ambit of environmental and sustainable development policy. This paper addresses the question of whether international targets help advance environmental policy integration in international governance. It explores whether the international target of significantly reducing the rate of biodiversity loss by 2010, adopted by the Conference of the Parties to the Convention on Biological Diversity (CBD) in 2002, enabled co-ordination and coherence in international biodiversity governance. The effects of the Target on the cluster of biodiversity-related conventions and their implementation in countries of Latin America and the Caribbean are examined. The analysis is based on official documents and interviews with secretariat officials, international experts and national focal points conducted between September 2011 and April 2012. A claim is made that the 2010 Biodiversity Target was, in essence, a conservation goal that did not fully honour the CBD's sustainable development mission. The Target triggered increased co-operation in the biodiversity cluster without bringing greater alignment of policies and implementation activities around the CBD's sustainability principles. The study suggests that, if targets are to advance EPI among international institutions, they need to be appropriated by relevant stakeholders and supported by implementation strategies that secure their continuous commitment.     

Citizens, consumers and sustainability: (Re)Framing environmental practice in an age of climate change

Recent moves by national and local policy makers have sought to encourage individuals to engage in a wide range of pro-environmental practices to address both discrete environmental problems and major, global challenges such as climate change. The major framing device for these developments is the notion of ‘citizen–consumers’, which positions individual ecological responsibilities alongside consumer choice logics in a Neo-liberal socio-economic framework. In the environmental social sciences, there have been recent moves to interpret the citizen–consumer through adopting a social practices approach, which advances the notion that in understanding environmental commitments, a deeper appreciation of underlying norms, values, identity politics and consumption is required to uncover the complex processes that lead to environmental practices in specific contexts. This paper argues that whilst these approaches have considerable utility in tracing the normalisation of established and discrete environmental practices in particular contexts, the issue of climate change represents an independent and over-arching discursive conflict between new and embedded practices that challenges the ability of citizen–consumers to act as agents for change. Accordingly, the data presented in this paper suggest that climate change can be seen as an unsettling and dynamic issue that generates discursive conflict in its own right around fundamental issues of knowledge, responsibility, scale and place. The paper therefore argues that a new and more critical perspective is required within environmental social science to understand (conflicting) discourses of sustainable living between the ‘passive’ normalisation of conventional environmental practice and the ‘contested’ ambiguities of climate change.     

Unsustainable landscapes of deforested Amazonia: An analysis of the relationships among landscapes and the social,economic and environmental profiles of farms at different ages following deforestation

In Amazonia, our knowledge of the trade-offs and possible thresholds in the relationships among social, economic and environmental parameters remains quite limited and hinders the design of sustainable socio-environmental systems. To fill this gap, we analyzed relationships among landscape metrics, socio-economic patterns, biodiversity and soil-based ecosystem services within a total of 51 farms located at 6 sites of the Colombian and Brazilian Amazon. Farms were representative of an initial set of 274 and they represented colonization ages from 10 to 80 years and a range of public policies found in the region.Cluster analysis separated farms in 7 types of production systems according to 5 main criteria (size of the farm, human capital, incomes, farm products and production intensity) selected from an initial set of 18 criteria. Biodiversity was summarized into a composite index Bd built with data from 8 different groups: trees, shrubs, grasses and forbs, birds, Saturnidae and Sphingidae moths, Drosophilidae, earthworms and ants. Provision of ecosystem services was quantified by a composite indicator of 6 sub-indicators of soil hydrological functions, C storage and chemical fertility. Increasing intensity of production systems was linked to a significant decrease of indicators of natural capital biodiversity (Bd) and soil based ecosystem services (Es) with 20% and 37.3% variance explained, respectively. No relationship was observed between production systems and an indicator of human wellbeing (Sb) based on a set of 5 criteria identified with the farmers. Findings indicate that early colonizers migrate when a certain level of development has been achieved (as a result of their activities) and are replaced by wealthier populations.An overall indicator of sustainability (Su) – that combines production efficiency (Ep), Sb, Bd and Es indices (ranging from 0.1–1.0) – decreases significantly with the landscape intensification (Li) with 18.7% variance directly explained by this relationship. Su was also significantly related to production systems (36.4% variance explained): while this indicator remained relatively stable with a value of 0.5 across the early and intermediate phases following deforestation, it dropped down considerably (0.2) for production systems based on cattle ranching on highly degraded pastures with less than 2% forest cover remaining. Restoration with sylvopastoral systems allowed some farms of this former group to increase sustainability to a value of 0.35 after less than 5 years. Agroforestry systems on sites deforested at the same time maintained values around 0.5, as they allowed the maximum production efficiencies and maintained relatively high values of the Biodiversity (Bd) and Ecosystem services (Es) indexes. This is evidence that beyond the general negative trade-off between human development and natural capital observed in Amazonia, agro ecological options to revert the trend are quite promising. A general methodological approach for the reconstruction of sustainable landscapes in farms of the deforested Amazonian region is proposed as a conclusion.     

中国大范围雷暴大风事件(Derechos)研究:时空分布、环境背景和对流系统形态特征

基于2002—2019年高空、地面常规观测资料,卫星云图,部分新一代天气雷达单站资料以及2009年以后的中国雷达拼图资料,采用个例筛选与统计、动态合成分析、层次聚类和雷达图分析等方法,对发生在中国的大范围雷暴大风事件(Derechos)的时空分布、环境背景和对流系统形态特征进行了分析.结果表明:(1)Derechos事...     

Social networks and transitions to co-management in Jamaican marine reserves and small-scale fisheries

How social networks support or constrain the transition to co-management of small-scale fisheries and marine reserves is poorly understood. In this paper, we undertake a comparative analysis of the social network structures associated with the transition to co-management in three Jamaican marine reserves. Data from quantitative social relational surveys (n = 380) are integrated with data from semi-structured interviews (n = 63) and focus groups (n = 10) to assess how patterns of relational ties and interactions between and among fishermen and other local level actors (e.g., managers, wardens, NGO staff) support and constrain the transition to co-management. Our research suggests that the transitions to co-management were supported by a combination of three network structure and relational attributes: (i) the presence and position of institutional entrepreneurs; (ii) a dense central core of network actors; and (iii) the prevalence of horizontal ties and vertical linkages held by the community-based organizations formally responsible for the management of the marine reserves. Our findings also show that overall low network cohesion in the three reserves and limited social influence among the wardens may be problematic for sustained collective action that extends beyond the core set of network actors. These findings suggest the importance of strategies to enhance collective action, specifically through attention to the attributes of the corresponding social networks, as a means to contribute to successful transitions to co-management of marine reserves and small-scale fisheries. Our results provide more precise guidance, through social network analysis, on where in the respective networks social capital and leadership may require support or enhancement, and thus on how to target interventions for greatest effect.