Prominent current policy problems such as climate change, migration, or the financial crisis embrace a multitude of issues that are tackled within single- or multiple-policy subsystems. However, interdependencies among actors that arise due to their multi-issue engagement are often discounted when studying policy processes, including learning dynamics and alliance or trust formation among actors engaged in multiple issues. Various issues compete for actors' attention, and actors need to choose an appropriate set of issues to deal with given their scarce resources. In this, why do actors engage in multiple issues? We present an innovative inductive approach that identifies policy issues related to Swiss water politics and actors involved therein. We use a two-mode exponential random graph model to estimate actors' multi-issue activity. Results show that 39% of actors engage in more than one water-related issue and that cross-subsystem and homophily clustering and clustered issue popularity drive this issue engagement.

Achieving effective, sustainable environmental governance requires a better understanding of the causes and consequences of the complex patterns of interdependencies connecting people and ecosystems within and across scales. Network approaches for conceptualizing and analysing these interdependencies offer one promising solution. Here, we present two advances we argue are needed to further this area of research: (i) a typology of causal assumptions explicating the causal aims of any given network-centric study of social–ecological interdependencies; (ii) unifying research design considerations that facilitate conceptualizing exactly what is interdependent, through what types of relationships and in relation to what kinds of environmental problems. The latter builds on the appreciation that many environmental problems draw from a set of core challenges that re-occur across contexts. We demonstrate how these advances combine into a comparative heuristic that facilitates leveraging case-specific findings of social–ecological interdependencies to generalizable, yet context-sensitive, theories based on explicit assumptions of causal relationships.

This paper focuses on cooperation among organizations in a common‐pool resource (CPR) problem situation. Cooperation is particularly challenging in settings where resource degradation is produced by a variety of different sectors and parts of the population; and where the problem, as well as public responsibilities, transcend borders and jurisdictions. Focusing on transboundary water quality management in the Rhine catchment area, we ask: What drives two actors in a CPR problem situation to cooperate with each other? We argue that the degree of threat to a CPR is an important driver for collective action, and focus on actors' exposure to and perception of a threat to a CPR. Furthermore, we rely on applications of the ecology of games framework (EGF), taking into account the larger institutional context of CPR management. This allows us to test whether actors' participation in forums, such as regional and international water body associations, helps to overcome the CPR problem by further enhancing interactions among actors. Based on survey data and applying advanced network statistics (exponential random graph models [ERGM]), we conclude that although problem exposure is one factor that enhances joint cooperation, participation in forums plays an even bigger role for cooperation in a CPR problem setting. Our study contributes to research on cooperation in CPR problem settings, highlights the need to more systematically include the effects that CPR problems have on actors when analyzing CPR problem settings, and stresses the function of forums as triggers for cooperation in CPR problem situations.

本文重点关注公共池塘资源（CPR）问题下的组织合作。当资源退化的“始作俑者”来自各类不 同群体，且CPR问题和公共责任超越了司法管辖范围时，合作会很困难。我们将焦点放在莱茵河流域 的水质管理上，并提出如下问题：在面临CPR问题的情况下，什么因素会驱动两个行为者进行合作？ 我们认为，对CPR的威胁是集体行动的驱动因素，因此，我们关注了行为者对CPR威胁的接触以及感 知。我们依赖于生态博弈框架（EGF），来考虑CPR管理背后更大的制度背景。我们检验了行为者参与 论坛是否会有助于增强行为者之间的互动，进而克服CPR问题。根据调查数据，我们采用了社会网 络高级统计分析方法（指数随机图模型，ERGM），并得出结论：对威胁问题的接触可以促进共同合 作；此外，参与论坛对于CPR问题环境下的合作更为重要。该研究有助于对CPR问题环境下的合作进 行探索，突出了在分析CPR问题时系统考虑其对行为者的影响的必要性，并强调了论坛引发合作的 这一功能。

Multiple actors across different institutional levels play a role in water governance. The coordination of these actors is important for effective water governance. However, the joining together of multiple actors can have several implications, such as a redistribution of power across actors, a change in democratic control and citizen influence as well as shifting accountability structures. These implications can involve different barriers and bridges that might impede or foster coordination. Through qualitative and quantitative methods, we assess the following barriers and bridges for coordination: (1) reputational power in terms of who is perceived as important for coordination in the water sector; (2) democratic legitimacy in terms of actors' value of local control of water services; and (3) accountability in terms of the regional actors' capacity to steer in the water sector. This article focuses on three cases in a Swiss region that has experienced water provision challenges due to its highly fragmented water supply structures. We find that reputational power serves as a bridge in our three cases: when the actors responsible for water supply regard potential coordination partners as important, then we observe coordination. In contrast, we do not find conclusive evidence to support the assumption that a fear of losing local control is a barrier for coordination. Instead, our results indicate that accountability, in the form of vertical steering by the regional actors, serves as a bridge for coordination, and that this could help mitigate some of the potentially negative effects of democratic legitimacy perceptions: through convening local actors or providing positive incentives to municipalities to work together, regional actors can foster coordination.

Social-ecological network (SEN) concepts and tools are increasingly used in human-environment and sustainability sciences. We take stock of this budding research area to further show the strength of SEN analysis for complex human-environment settings, identify future synergies between SEN and wider human-environment research, and provide guidance about when to use different kinds of SEN approaches and models. We characterize SEN research along a spectrum specifying the degree of explicit network representation of system components and dynamics. We then systematically review one end of this spectrum, what we term 'fully articulated SEN' studies, which specifically model unique social and ecological units and relationships. Results show a larger number of papers focus on methodological advancement and applied ends. While there has been some development and testing of theories, this remains an area for future work and would help develop SENs as a unique field of research, not just a method. Authors have studied diverse systems, while mainly focusing on the problem of social-ecological fit alongside a scattering of other topics. There is strong potential, however, to engage other issues central to human-environment studies. Analyzing the simultaneous effects of multiple social, environmental, and coupled processes, change over time, and linking network structures to outcomes are also areas for future advancement. This review provides a comprehensive assessment of (fully articulated) SEN research, a necessary step that can help scholars develop comparable cases and fill research gaps.

In policymaking, actors are likely to take the preferences of others into account when strategically positioning themselves. However, there is a lack of research that conceives of policy preferences as an interdependent system. In order to analyse interdependencies, we link actors to their policy preferences in water protection, which results in an actor-instrument network. As actors exhibit multiple preferences, a complex two-mode network between actors and policies emerges. We analyse whether actors exhibit interdependent preference profiles given shared policy objectives or social interactions among them. By fitting an exponential random graph model to the actor-instrument network, we find considerable clustering, meaning that actors tend to exhibit preferences for multiple policy instruments in common. Actors tend to exhibit interdependent policy preferences when they are interconnected, that is, they collaborate with each other. By contrast, actors are less likely to share policy preferences when a conflict line divides them.

One open question in environmental sciences is whether effective management of natural resources depends on the fit between the bio-physical and the governance system. To address this question, we investigate water quality in transboundary rivers and ask to what extent a fit between the area covered by the physical extent of pollution and the area in which this pollution is addressed through management and policy regulation can be observed. We adopt a spatial approach and argue that the visualization of social-ecological overlap and misfit supports science and practice when taking decisions about how best to explain or address ineffectiveness and cause-effect mismatches in transboundary river management.
We focus on drinking water supply in the international river basin of the Rhine focusing on micropollutants. These persistent trace compounds have potential toxic effects on humans and ecosystems, which makes them a relevant type of pollution that needs to be taken into consideration. Based on a combination of mass flow and social network analysis, we can conclude that the Rhine River is characterized by large social-ecological overlap, but that some parts of the catchment area still lack integration.

We address a key puzzle in policy studies: why don't major differences in political systems and policy produce major differences in policy processes, outputs, and outcomes? We show why key aspects of fracking policy are similar in the UK and Switzerland despite the UK majoritarian government being 'all out for shale' and Switzerland’s consensus democracy favouring moratoriums. We use the 'advocacy coalition framework' and new survey data to show why differences in UK and Swiss processes are subtle. In both cases, actors cooperate and compete with each other by sharing information within and across coalitions.

This paper analyzes the prospects for introducing the precautionary principle in water protection policy. In situations where a problem enters the political agenda and scientific uncertainties remain about causes or effects, political actors can justify state intervention based on the precautionary principle. It allows for public action even if risks related to the problem remain unclear. While the precautionary principle is widely applied in health and environmental policy fields all over the world, the mechanisms leading to its adoption are not fully understood. To close this gap, the paper investigates decision-makers preferences for the precautionary principle and further asks: Which factors promote political actors' preferences for precautionary policy measures? In order to answer this question we study the case of emerging micropollutants – a water quality issue that recently entered political agendas, where many uncertainties remain about sources and effects. We rely on data gathered through a standardized survey among the political elite in Switzerland, which represents one of the first countries that adopted policy measures to reduce micropollutants in water bodies, despite the uncertainties that remain. Results analyzed through a temporal network autocorrelation model reveal that actors embedded in collaborative governance arrangements have the tendency to prefer precautionary action. Certain aspects of policy design, such as problem prioritization and target group membership, also impact the prospects for introducing the precautionary principle.

New techniques of unconventional oil and gas extraction, such as hydraulic fracturing, challenge current political, institutional and administrative practices in how to regulate activities in the underground. Conflicts of interests between economic promotion, landscape and natural resource protection, and new trends on energy markets are further intensified by the fact that techniques of oil and gas extraction come with a considerable amount of uncertainties regarding ecological and health impacts. Information exchange is one important aspect of how political actors try to reduce uncertainties and conflicts. Based on exponential random graph models (ERGM) for network data, we analyze to what degree ideologies, public authority, existing collaboration and scientific expertise drive information exchange in hydraulic fracturing regulation in the United Kingdom. Results show that technical and political information exchange have to be disentangled, and that the former is driven by expertise and existing collaboration, the latter by ideology, public authority and existing collaboration.

Recent years have seen a growing interest in the concept of social acceptance, especially in the wake of the transition from non-renewable to renewable energy sources. Social acceptance is thereby studied from very different backgrounds and based on distinct conceptualizations. We argue that the reason for the great variety in the use of 'acceptance' is not mainly its interdisciplinary and multidimensionality, but a missing policy making perspective and its insights and knowledge about processes, actors and (in)formal decision-making.
This contribution proposes a framework to refine the concept of social acceptance. Taking into account that the stage and specificity of the policy making process heavily influence the response towards RET and the process triggered, we identify three steps that need to be addressed when defining a research design that includes social acceptance: the object and context under scrutiny, the relevant actors, and the roles they play. Our proposed framework thereby adopts a political science point of view and the main research interest deals with political actors deciding upon and implementing future policies.

The study of public policy deals with subsystems in which actors cooperate or compete to turn their beliefs into policy solutions. Yet, most studies concern mature subsystems in which the main actors and their allies and enemies can easily be identified. This paper tackles the challenge of studying nascent subsystems, in which actors have begun to engage in politics but are uncertain about other actors’ beliefs. Actors therefore find it relatively difficult to identify their allies and opponents. Focusing on the Advocacy Coalition Framework, we examine three main ways in which actors might agree to support the same policy design before they decide whether or not to form long-term relationships within advocacy coalitions: they see the issue through the same lenses, they follow leaders, or they know each other from earlier cooperation. We use the case of fracking policy in Switzerland and the UK as a key example, in which actors have begun to agree with each other, but where final policy outputs were not yet defined, and long-term relationships not yet observable. We find that, when dealing with new issues, actors strongly rely on former contacts rather than shared ideologies or leadership.