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ABSTRACT Amidst 21st‐century climate‐related threats, municipal elected officials (EOs) may outsource public services to third parties to avoid the political costs of adopting “unpopular” sustainability policies—a strategy known as political decoupling. However, decoupling raises accountability concerns and may not improve sustainability, leading some municipalities to “recouple” services. To help understand the political impacts of these decisions, we assess how public scrutiny toward EOs in US municipalities changes after varying degrees of coupling in the water provision sector (i.e., how much service delivery shifts away from or toward municipal oversight). Analysis of local media coverage shows public attention toward EOs decreases after higher degrees of decoupling and recoupling, public opinion becomes polarized toward EOs after decouplings, and the public links sustainability‐related issues to EOs after high degrees of decoupling. The results highlight how reforming public services relates to political accountability‐related factors and raise critical questions about the political decoupling strategy. 

Feedback is ubiquitous in complex systems and critical to the process of designing public policies to solve problems such as climate adaptation. However, well‐known cognitive and institutional constraints can impact information feedback processes, limiting a system's ability to incorporate feedback into policy designs. This study analyzes the role that institutions play in regulating feedback in coupled infrastructure systems (CIS) to support the development of climate‐adaptive policies. Focusing on urban water systems, we ask:how do multilevel institutions governing information processing influence urban water systems' climate‐adaptive policy responses?Using the CIS framework, we develop a theoretical argument for policy design based on the cognitive model of active inference. Drawing on hydrological, administrative, media, interview, and institutional data, we trace two urban water systems' policy design processes over a decade. We find that successive waves of state‐level changes to water planning rules prompted more “exploratory” information processing during the study period. Moreover, an urban water utility's ownership type (public vs. investor‐owned) influenced how expected climate impacts were incorporated into policy designs. These findings provide insight into how institutional arrangements shape policy designs and suggest ways such arrangements may be altered to enable adaptive responses in the face of environmental uncertainty. 

Abstract Climate change is a management and governance challenge requiring diverse potential responses. This article highlights the critical role public managers play in navigating the response diversity of such governance systems. Response diversity is the rule‐based set of options available for responding to unexpected service disruptions and is distinguished from ambiguity, which holds a negative valence within public administration. We first develop theoretical propositions about how institutions influence response diversity, drawing on public administration, resilience, and cognitive science research. Then, we use the Institutional Grammar and Institutional Network Analysis tools to empirically trace the rate‐making processes in two U.S. urban water utilities. We conclude that institutional designs do distinctively influence response diversity and are therefore key for evaluating the climate adaptability of heavily engineered infrastructure systems. Specifically, we identify important differences in the diversity of information, participation, and heuristics used for selecting investment strategies. 

Urban water systems across the United States are facing a variety of challenges to existing supply and demand dynamics. Responding to these challenges and working toward sustainability in these complex socio-environmental systems (SES) requires integrating various types of information – ranging from hydrologic data to political considerations and beyond – into policy and management decisions. However, the design of institutions, i.e. the formal rules in which urban water utilities are embedded, impact the flow of various types of information, especially across diverse actor groups critical to developing and implementing policy. Drawing on a neuroscience-informed Bayesian application of the Robustness of Coupled Infrastructure Systems (CIS) Framework, this study examines the institutional designs of two urban U.S. water systems. It aims to advance our understanding of these systems by: A) theoretically linking cognitive science and its action-oriented predictive processing approach to the institutional configurations that shape collective-action; and B) identifying potential institutional dependencies and voids that may limit the use of formalized climate-related guidance in systems facing increased risks. We utilize process-tracing along with an institutional analysis approach called the Institutional Grammar Tool (IGT) to parse the institutions into their semantic and syntactic components, identifying institutional dependencies, voids, or conflicts which may influence long-range performance of the systems. Our findings have important implications for the (re)design of institutions that better facilitate the flow of information among key policy actors and support policy changes that promote sustainable long-term urban water supply. 

Abstract Collaborative governance has emerged as a promising approach for addressing complex water sustainability issues, with purported benefits from enhanced democracy to improved environmental outcomes. Collaborative processes are often assumed to be inherently more equitable than traditional governance approaches due to their goal of engaging diverse actors in the development of policy and management solutions. However, when collaborative water governance processes ignore issues of politics and power in their design, they risk creating or even exacerbating existing inequities. How, then, can collaborative water governance processes be designed to enhance, rather than undermine, equity? To answer this question, we first conduct an extensive review of the collaborative governance literature to identify common design features of collaborative processes, which each present potential benefits and challenges for actualizing equitable collaborative water governance. After critically discussing these design features, we explore how they are executed through two case studies of collaborative water governance in western North America: groundwater governance reform in California and transnational Colorado River Delta governance. In reflecting on these cases, we chart an agenda for future collaborative water governance research and practice that moves beyond engaging diverse actors to promoting equity among them. This article is categorized under:Human Water > Water GovernanceScience of Water > Water and Environmental ChangeEngineering Water > Planning Water 

Droughts are often long-lasting phenomena, without a distinct start or end and with impacts cascading across sectors and systems, creating long-term legacies. Nevertheless, our current perceptions and management of droughts and their impacts are often event-based, which can limit the effective assessment of drought risks and reduction of drought impacts. Here, we advocate for changing this perspective and viewing drought as a hydrological–ecological–social continuum. We take a systems theory perspective and focus on how “memory” causes feedback and interactions between parts of the interconnected systems at different timescales. We first discuss the characteristics of the drought continuum with a focus on the hydrological, ecological, and social systems separately, and then we study the system of systems. Our analysis is based on a review of the literature and a study of five cases: Chile, the Colorado River basin in the USA, northeast Brazil, Kenya, and the Rhine River basin in northwest Europe. We find that the memories of past dry and wet periods, carried by both bio-physical (e.g. groundwater, vegetation) and social systems (e.g. people, governance), influence how future drought risk manifests. We identify four archetypes of drought dynamics: impact and recovery, slow resilience building, gradual collapse, and high resilience–big shock. The interactions between the hydrological, ecological, and social systems result in systems shifting between these types, which plays out differently in the five case studies. We call for more research on drought preconditions and recovery in different systems, on dynamics cascading between systems and triggering system changes, and on dynamic vulnerability and maladaptation. Additionally, we advocate for more continuous monitoring of drought hazards and impacts, modelling tools that better incorporate memories and adaptation responses, and management strategies that increase societal and institutional memory. This will help us to better deal with the complex hydrological–ecological–social drought continuum and identify effective pathways to adaptation and mitigation.