Bright spots and actionable insights for urban governance of the climate–biodiversity–health nexus

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This study examines how urban governance operationalizes the climate–biodiversity-health nexus in four European case areas through a goals-oriented framework informed by the Planetary Health approach. We conduct a qualitative analysis of urban policy documents to assess the degree of change and level of coordination across climate mitigation, adaptation, biodiversity, and health domains. While cities have employed transformative solutions like nature-based solutions (NBS), we consistently identify policy blindspots such as fragmented mid-level targets, sectoral silos, insufficient attention to indirect emissions, and reliance on soft governance tools. We conclude by offering actionable insights for transformative urban nexus governance: mainstream transformative metrics and indicators, create new institutional innovations, integrate multi-benefit NBS across sectors, expand governance toolkits to address trade-offs and co-create a culture of innovation, learning, co-creation and leadership. Earth and environmental sciences/Environmental social sciences/Climate change policy Earth and environmental sciences/Environmental social sciences Earth and environmental sciences/Environmental social sciences/Sustainability climate-biodiversity-health nexus planetary health sustainability transformations urban governance nature-based solutions synergies policy integration Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 INTRODUCTION In the face of looming climate change and biodiversity crises, cities are increasingly recognized as key actors for climate action 1 . Cities have played a central role in urban climate governance including designing the institutions, infrastructures, and behaviors necessary for climate adaptation and carbon mitigation 2–4 . However, policy analyses over the past decade have identified limitations in the comprehensiveness and level of integration of adaptation and mitigation in existing climate action plans 5 . Scholars are thus increasingly investigating the climate and health nexus 6,7 , as well as the climate and biodiversity nexus in cities 8,9 with increasing recognition that urban governance needs to consider the critical interconnections, feedbacks, and dynamic relationships between biodiversity, climate change, and health. The recent joint report of Intergovernmental Panel on Climate Change (IPCC) and Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) calls out the interconnections between climate and biodiversity crises and their interdependence with other societal issues, including health 10 . Feedback loops and interactions among biodiversity, climate and society at multiple spatial, temporal and organizational scales can transmit risks from one system to another and thus need to be considered together as a nexus 11 . The feedbacks between biodiversity and other elements in the nexus can be negative, positive and contain both positive and negative influences 12 . Governance strategies that ignore Climate-Biodiversity-Health (CBH) nexus interactions may significantly underestimate the transmitted risks from interconnected global challenges, and also miss out on opportunities for transformative climate change mitigation and adaptation, as well as producing measurable biodiversity and wellbeing co-benefits 13,14 . While recent studies highlight the opportunities and challenges of transformative governance within the CBH nexus 11 , empirical investigations into how these interactions within the nexus manifest in real-world governance contexts remain limited and largely anecdotal. There is a notable lack of systematic empirical investigations into what is happening in urban governance of the CBH nexus, and in a more general sense, what governance mechanisms are capable of effectively anticipating and addressing the interlinked challenges of climate, biodiversity, and societal change. A recent nexus assessment of EU policy documents reveal that most policy interlinkages are climate-centered, i.e. they consist of the expected contribution of circular economy and biodiversity policies to climate mitigation/adaptation 15 . Further, there is a dearth of policy analyses that have reported on city-level strategies and actions for addressing co-benefits and co-determinants across the CBH nexus 16,17 . The aim of this paper is to empirically explore how the urban governance of the CBH nexus is approached in policy and planning practice. The aim is guided by the following objectives: 1) Apply a structured policy document analysis to investigate how policy strategies, plans and targets across European case cities envision and engage with the CBH nexus; 2) Critically examine what type of actions cities propose to address climate change, biodiversity loss, and public health and well-being needs, and how transformative these actions are; and 3) Identify bright spots and blind spots resulting from employing a nexus approach in urban governance to enable distillation of key insights forward for improving governance for the CBH nexus. We use qualitative policy analysis to assess the degree of transformative change in urban environmental governance and identify insights and paths forward across the CBH nexus. We used a stratified sample representing the four largest biogeographical regions of Europe – Atlantic, Continental, Mediterranean, and Boreal to identify case studies to examine BCS nexus governance in practice. We examine four urban areas - Cork, Klagenfurt, Päijät-Häme, Malta - within the EU which provide sample cases with similar overarching regulatory frameworks important to empirical comparison. Though focused on EU cases, results have potential global significance due to EU influence and power through markets to affect governance approaches far outside the region. We examine policies and plans that span two or more domains of the nexus and explore the most synergistic and transformative examples of nexus governance to identify bright spots (and blind spots) for learning and applying in other urban contexts globally. Analytical framework for the CBH Nexus Recent conceptualizations of the CBH nexus focus on identifying the key domains and illustrating how they interact with each other 13 . It was proposed by Newell 18 to set clear sustainability objectives, but here we build on its use by Ghadari et al. 19 to support the delivery of integrated planning and policy objectives. The health dimension focuses on the interplay between human health and well-being and associated justice and governance challenges 11 . Important direct and indirect effects exist across biodiversity, climate and society, denoted as ‘couplings’. The biodiversity-climate coupling refers to strategies that provide co-benefits or costs for climate and biodiversity objectives; for example the use of nature-based solutions in cities to mitigate the risks of coastal flooding and to enhance biodiversity outcomes 20 . Much research has also focused on the carbon sequestration potential of different types of ecosystems, implying a co-benefit between biodiversity and carbon mitigation 21–23 . Yet, some carbon mitigation strategies can be detrimental to biodiversity 24,25 , implying that the biodiversity-climate nexus can have both positive and negative direct and indirect effects. The climate-health coupling denotes how climate action produces co-benefits and costs for mental and physiological health. For example, health benefits received by avoiding the psychological stress of natural disasters 26 , and the health benefits derived from reduced air pollution 27 or heat stress 28 . Yet certain climate actions can adversely affect human health; for example, the planting of certain tree species can lead to the local production of allergens 29,30 and impact mental health 31 . The biodiversity-health coupling has been captured through multiple frameworks and concepts. For example, the One Health framework ensures that human, animal (e.g., domesticated, livestock), and environmental health (including wildlife health) questions are evaluated holistically 32,33 . The ecosystem services framework shows how ecosystems contribute to human wellbeing through provisioning, regulating, supporting, and cultural services 34 . Additionally, literature on green equity and environmental justice seeks to spotlight the inequitable access to and exposure to the benefits of quality green space, which directly and indirectly affect health outcomes in society 35 . Marsell et al. 36 provide a framework for connecting both the beneficial as well as harmful links between biodiversity and health. Reducing harms is connected to the provision of medicines and decreasing air and noise pollution exposures; restoring capacities such as attention restoration and stress reduction; building capacities such as promoting physical activity; and reducing the causes of harm such as reducing exposure to dangerous wildlife, zoonotic diseases and allergens. As an all-encompassing framework, here we consider the CBH nexus through the theoretical lens of the Planetary Health framework to examine the interconnections between human health, ecosystem integrity, and climate stability in urban governance. Grounded in the definition of planetary health as “the health of human civilization and the state of the natural systems on which it depends” 37 , the framework provides a means for understanding how urban environments contribute to or mitigate environmental degradation and health inequities 38 . By applying a nested model of Planetary Health tailored for urban settings 39,40 this study emphasizes the interdependence of human well-being, biodiversity, and climate resilience in cities. It builds on calls for ambitious, integrated, and city-level sustainability transformations to safeguard both human and planetary health 41 , offering a theoretical grounding to explore how urban governance can be directed toward more holistic and sustainable outcomes across the CBH nexus. Despite the paramount importance of sustainability transformations, most definitions do not specify how these processes can be observed empirically or measured, and with what methods 42 . Since a goals-oriented framework could be more easily operationalized and applied 18 , we develop an analytical framework for analyzing urban transformations based on defining four overarching goals of urban sustainability governance: climate mitigation, climate adaptation, biodiversity protection, and human health and well-being. We then deconstruct each of these four overarching CBH goals into a set of action fields cities can use to achieve each of them (see Table 1 for the full list of strategies). The action fields are identified based on the operational question “What types of actions are available to cities to achieve each of the overarching goals?”, grounded in the respective literature on climate, biodiversity and health governance 40,43,44 , and empirically adjusted through a preliminary policy analysis. We consider this operational focus crucial as it enables our goals-oriented framework to instantiate the concept of sustainability transformations in specific, observable and measurable policy actions, which can then be evaluated for their impact on the progress toward each of the four overarching CBH goals. By operationalizing a “nexus approach to governance” 13 in our goals-oriented framework 18 , this methodological approach enables empirical investigation of city transformations in the CBH nexus and mapping how nexus approach to governance looks like in cites. Table 1. List of action fields available to cities to achieve the CBH goals We study the degree of change in urban governance of mitigation, adaptation, biodiversity and health and well being in the case cites. To assess the transformative potential of policy plans, targets and strategies, the method used here builds on the sustainability transformations literature, particularly in urban contexts. Determining the degree of change is challenging, particularly in identifying a transformation, as transformative changes are often recognized only in hindsight 45 . We build on the analytical framework for assessing the degree of change in climate governance 46 , expand the definition to cover the whole CBH nexus, and adapt it to our goals-oriented framework by including the potential of policies to satisfy the CBH needs. We draw on three degrees of change across the CBH nexus (incremental, reformistic, and transformative change) which cover climate, biodiversity and health policies of cities. Incremental change refers to small-scale, technocratic improvements made within existing policy frameworks and institutional logics, often lacking systemic impact. Reformistic change refers to more ambitious, systemic adjustments that seek to realign institutional practices or policy priorities while still operating within the current governance paradigm. Transformative change refers to deep, structural shifts in governance, societal values, and institutional arrangements that not only redefine sustainability pathways but also demonstrate a capacity to effectively address environmental and social challenges. (For detailed elaboration on these distinctions, see Section 4.) We use these definitions to empirically examine what kind of changes are advocated in actual urban governance of the nexus. RESULTS Based on the analysis of 32 strategic planning documents, we coded 362 policy plans in the four case areas, with the highest number of plans concerning mitigation (258 plans), then biodiversity (203), adaptation (179), and health (143), with 127 plans covering two domains (i.e. having double synergies: climate-biodiversity (64); climate-health (54), biodiversity-health (9)), and 37 plans having triple CBH synergies, with 59 plans including nature-based solutions (Fig. 2 ). We identified 23 action fields which are available to cities to address the overarching CBH goals. On average, we found ca. 30 entries per action field (see Fig. 4 ). Most common action fields include: sustainable transport (M5: 79 entries), promoting climate action (M7: 57), organizational adaptation (A4: 58), nature restoration (B2: 66), urban greenery (B3: 47), and promoting active lifestyles (H2: 53 entries). Strategies that were identified with a lower number of entries are waste management (M4: 17), private sector decarbonization (M6: 12), controlling invasive alien species (B4: 13), and supporting sustainable diets (H4: 6). All the analyzed cities contain vocabularies and objectives representing and targeting the CBH nexus. In general, the existing plans primarily promote incremental and reformistic change such as promoting climate action and increasing green infrastructure, but also suggest many transformational proposals such as radical modal shifts toward sustainable mobility. Figure 3 highlights how each city prioritizes different domains of the CBH nexus, revealing variation in thematic focus and degrees of integration. Figure 4 complements this by illustrating differences in the number and type of action fields used to address the CBH nexus, and shows that not all areas of the CBH nexus are equally covered by different cities. Specifically, every city focuses on a particular area of the CBH nexus, typically two out of the four overarching goals, where their governance has transformative characteristics. Cork excels in climate adaptation and health and well-being; Klagenfurt in climate mitigation and biodiversity protection; Päijät-Häme shows signs of transformative governance in mitigation and biodiversity; Malta in biodiversity and climate adaptation. Importantly, most overarching goals show transformative potential (e.g. climate neutrality by 2030; or stopping biodiversity loss), meaning that they are nominally on track to achieve the UN targets. All analyzed urban areas emphasize policies with double and triple synergies across the three domains of the CBH nexus. Overall, cities highlight synergistic plans, notably green infrastructure that contributes to mitigation, adaptation, biodiversity and health and well-being, as well as other no regret solutions such as improving energy efficiency of buildings or reducing traffic pollution. Blindspots in urban CBH nexus governance While our four urban case areas demonstrate efforts toward transformative change in CBH governance, we identified several blind spots limiting the effectiveness and transformative potential of how a nexus approach to governance is practiced. We define “blind spots” as systemic gaps or limitations in urban governance where the integration of climate, biodiversity, and health goals is absent, insufficient, or poorly operationalized, thereby constraining the capacity of CBH nexus approaches to deliver transformative outcomes. These blind spots highlight challenges in policy implementation, sectoral integration, trade-offs management, and policy-impact strategies. Limited Policy Coherence and Implementation Gaps While all cities have developed CBH nexus-oriented policy goals, there is often a disconnect between high-level sustainability ambitions and mid-level implementation strategies. Key issues include notably a lack of specificity in targets – many policy documents outline broad ambitions (e.g., carbon neutrality by 2030, expanding urban greenery) but fail to provide detailed and realistic plans on how to achieve and implement them. The main blind spot concerns fragmented or inconsistent mid-level goals as some cities set conflicting or weak intermediate targets, insufficient for achieving the proclaimed overarching goal. For example, Malta plans for electrifying only 50% of vehicle transport without reforming clean energy production, and Cork plans for deep energy-efficiency renovation of only 50% of residential buildings, while at the same time aiming for the carbon neutrality target. A related issue is unclear funding and resource allocation – in most cases, policies lack detailed financial plans, making it difficult to assess their feasibility and implementation capacity. All cities emphasize ambitious CBH nexus targets, notably for mitigation, but are in the need of developing strategies to bridge high-level goals with implementation measures. Persistence of Sectoral Silos and Weak Institutional Integration Despite efforts to establish cross-sectoral governance structures, many cities seem to continue to operate in departmental silos, limiting the effectiveness of the nexus approach. A key issue that appeared through the policy analysis is the incompatibility among some policy plans written by different government departments (e.g., urban expansion projects that conflict with biodiversity goals) which points to a potential insufficient institutional integration. Despite the establishment of new governance bodies (e.g., task forces, advisory councils), these bodies often function alongside traditional departments rather than replacing outdated separated structures. Insufficient Recognition of Indirect Emissions and Systemic Trade-Offs Most cities focus on direct emission reduction goals and localized sustainability interventions, neglecting the broader systemic impacts of urban consumption patterns. A key gap concerns the failure to address indirect emissions, as policies often overlook emissions embedded in food systems, industrial production, and imported goods, despite their major climate and biodiversity footprints. There is a narrow focus on green infrastructure in all case areas. While green infrastructure is widely promoted as the prime example of nexus governance, cities rarely address broader land use trade-offs (related to e.g. urban sprawl, population increase, agricultural expansion, or deforestation linked to bioenergy production). The narrow focus on green infrastructure creates two problems. First, in pursuing ambitious mitigation targets, there is a pressure for externalizing emissions by accounting them outside the city. In Lahti (Päijät-Häme), biomass burning is promoted as a "renewable" clean energy source and it is the stepping stone for carbon neutrality. However, wood burning actually increases carbon emissions compared to coal in the first 100 years if the wood is replanted sustainably 47 , but despite this, because wood emissions are accounted for where the wood was cut, this is considered a mitigation ‘victory’ for Lahti. The second issue is that these patterns unravel potential and undisclosed contradictions or misalignment among sustainability goals. Some policies pursue carbon neutrality without considering biodiversity trade-offs, such as large-scale tree planting initiatives that may reduce local species diversity when species diversity is not considered in tree species selection 48 . Over-Reliance on Voluntary and Soft Governance Measures Cities frequently rely on informal strategies, persuasion, awareness campaigns, and voluntary citizen initiatives rather than binding formal regulations or structural changes of political and economic systems 49 . The lack of formal regulation can result in weak to non-existent enforcement mechanisms leaving many sustainability strategies to rely on awareness-building and creating moral incentives, rather than enforceable regulations. In rare cases redesigning economic incentives is employed. Associated with soft governance measures, a lack of accountability and monitoring is a pervasive issue in the policy documents and city administrations. There is often insufficient tracking of policy effectiveness, making it difficult to assess progress toward CBH goals. The reliance on soft governance measures discloses critical dependence on behavioral change rather than systemic reform. Many policies encourage voluntary action (e.g., promoting individual or corporate climate actions such as sustainable diets or low-carbon economy) rather than mandating shifts (e.g., regulating high-emission food supply chains). Some key policies depend on strategies for change lacking robust empirical or theoretical backing. For example, Cork plans to have 50% of all trips done by active or public transport, yet there are no regulatory or economic measures sanctioning or even significantly incentivizing against the use of cars. Consequently, many policy plans have weak effectiveness, insufficient for transformative change 50,51 . Scarcity of types of Nexus Solutions Despite the high-level emphasis in IPCC-IPBES reports of the crucial role of nexus policies 10,11,13 , we found few types of synergistic solutions in the studied case areas, consistent with the lack of synergistic solutions reported in recent literature. Except for a few types of NBS and solutions for sustainable transport-active mobility, both of which have rather limited potential for climate and biodiversity goals, there is a remarkable lack of synergistic governance solutions articulated for cities. Particularly lacking are solutions that explicitly target climate mitigation while also advancing biodiversity conservation or public health outcomes. This absence points to a critical implementation gap: while the discourse around synergies is well established, the design and institutionalization of cross-cutting policies remain underdeveloped. The result is a continued reliance on single-goal policies combined with a handful of nexus solutions, that fall short of the transformative ambition required by the calls for “a nexus approach to governance” 10 . Actionable insights for increasing the transformative potential of urban governance across the CBH nexus This paper identified a number of blindspots concerning the governance of the BCS nexus across the four cases. In this discussion, we focus on responses to overcome each blindspot, summarised in Table 2 . These responses synthesize empirical insights from the four case cities and supported by the literature, respond directly to the limitations and blind spots identified in the current governance practices. They offer a roadmap for urban actors seeking to operationalize the BCS nexus in transformative and context-sensitive ways. Table 2 Blind spots in urban governance of the BCS nexus and the actionable insights to overcome them. Summary of blindspots Actionable insights to overcome the blindspots 1. Limited policy coherence and implementation gaps 1. Mainstream Transformative Metrics and Indicators 2. Persistence of sectoral silos and weak institutional integration 2. Institutionalize Cross-Sectoral Nexus Governance 3. Insufficient recognition of indirect emissions and systemic trade-offs 3. Expand Governance Toolkits and Evaluation to Address Systemic Trade-Offs 4. Over-reliance on voluntary and soft governance measures 4. Cultivate a Culture of Innovation, Learning, Co-Creation and Leadership 5. Scarcity of types of nexus solutions 5. Integrate Multi-Benefit Nature-Based Solutions across Sectors 1. Mainstream Transformative Metrics and Indicators Cities need to move beyond broad sustainability commitments—like carbon neutrality by 2030 or biodiversity net gain— and develop quantified, time-bound, and actionable mid-level targets. Cities should also develop intermediate, sector-specific targets that link high-level ambitions with operational measures 20,52 . In our sample, although certain links could be observed between high-level biodiversity conservation ambitions and individual urban greening measures, there was a systemic lack of clear, quantified mid-level targets and actionable implementation pathways for both biodiversity and climate mitigation goals—undermining the ability of cities to translate strategic ambitions into measurable outcomes. Clear implementation pathways, supported by adequate financing and institutional commitment, are essential for translating ambition into impact. Transformation cannot be monitored or managed without clear, measurable, and integrated indicators that capture synergies and trade-offs across the CBH domains. Cities could thus adopt metrics that go beyond carbon accounting to include biodiversity outcomes (e.g. native species cover, ecological connectivity) and social well-being (e.g. access to green space, respiratory health, mortality rates). These indicators could be institutionalized in planning and budgeting processes to support accountability and strategic decision-making. 2. Institutionalize Cross-Sectoral Nexus Governance Urban governance has traditionally operated through fragmented departmental structures, where climate, health, transport, and biodiversity policies are designed and implemented in isolation, what undermines efforts to deliver co-benefits, manage trade-offs, and align strategies with systemic sustainability goals 53,54 . Institutional innovation and bridging organisations—including the establishment of cross-departmental task forces, decision institutions, policy arenas and inter-departmental collective actions—enables more collaboration around sustainability initiatives, as well as fosters coordination, shared accountability, and mutual learning 55–57 . For example, Cork’s formation of interdepartmental working groups and coordination units for climate action improved alignment between adaptation, mobility, and green infrastructure strategies. Similarly, Päijät-Häme’s regional collaboration structures have supported the development of climate roadmaps that integrate biodiversity and health concerns across municipal boundaries. Research shows that such integrative governance arrangements are vital for addressing complex, “wicked” problems like those situated at the climate–biodiversity–health nexus. The literature on polycentric governance highlights the importance of overlapping and interacting institutions to manage multi-scalar, cross-sector challenges effectively 58 . Urban climate governance gains effectiveness when embedded in flexible, multi-level institutional arrangements that enable experimentation, cross-sector collaboration, and civil society engagement 4 . Moreover, Hofstad et al. 3 emphasize the role of institutional capacity for collaborative governance, which includes not only formal structures but also shared visions, routines of cooperation, and the ability to negotiate across competing objectives. They call for urban administrations to foster cross-sector collaboration and policy integration in turbulent environments that facilitate coherence among sectoral strategies and better reflect the interdependencies across sustainability domains. In sum, institutional innovation is not merely about structural reorganization, but about cultivating governance cultures that value integration, co-benefits, and long-term resilience. By reforming governance architecture and promoting integrative routines, cities could enhance their transformative capacity to act across the CBH nexus. 3. Expand Governance Toolkits and Evaluation to Address Systemic Trade-Offs Urban CBH strategies tend to focus on direct emissions or local biodiversity —such as place-based interventions, transport modal shifts or energy retrofits, —while often neglecting systemic impacts like resource flows and global consumption, thereby neglecting indirect emissions and biodiversity loss from energy, material and food imports, and global land use change. Cities should go beyond isolated actions, such as green infrastructure and voluntary behavior change, by developing new, evidence-based governance tools that explicitly manage trade-offs—especially in land use, energy, industry, and food systems. Incorporating indirect emissions and planetary boundaries into urban planning is critical. Expanding the evidence base will also require investments in monitoring and evaluation, to go beyond direct emissions sources to better understand and evaluate indirect emissions and impacts across systems and their interactions. To increase their transformative potential, cities must expand their governance toolkits to better account for and address indirect emissions—by regulating and incentivizing low-carbon, biodiverse, and health-promoting urban metabolisms across supply chains and consumption systems. This may include food policy, procurement standards, and embedded emissions assessments designed to reduce carbon leakage and address emissions embodied in imported goods and services 59 . Embracing systems-thinking in policy design is crucial for cities to move from incremental improvements to structural and transformational shifts in how urban life interacts with planetary boundaries 54,60 . 4. Cultivate a Culture of Innovation, Learning, Co-Creation and Leadership Nexus governance requires a commitment to multiple modes of innovation, learning and knowledge co-creation across administrative sectors. Drawing on the results of a systematic review of 250 nature-based solutions projects, Davis et al. 61 identify good practice criteria for the delivery of integrated solutions, including: i) Effective - the ability to deliver intended benefits and address specific challenges; ii) Inclusive - the incorporation of diverse perspectives, stakeholders, and communities in planning; iii) innovative - capacity to transform challenges into opportunities for creative and novel approaches; iv) locally appropriate - Tailored to local conditions and integrating site-specific knowledge and resources; v) multifunctional - provide diverse benefits simultaneously; vi) sustainable in the long-term - provide diverse benefits simultaneously over the long-term and vii) upscalable - involving experimenting and adapting designs based on local contexts. Our CBH nexus assessment reveals the critical importance of new forms of leadership for addressing the interest conflicts, power games, legitimacy concerns and trade-offs between equally desirable goals, including integrative leadership to ensure policy integration across the nexus 62 .For example, in Cork, innovative leadership initiatives—such as the mayor and government officials commuting by bicycle, retrofitting government buildings to net-zero standards, transitioning the municipal vehicle fleet to electric, and eliminating single-use plastics at government events—demonstrate a proactive, integrative approach to embedding sustainability principles and values into everyday governance practice. 5. Integrate Multi-Benefit Nature-Based Solutions across Sectors Nature-based solutions (NBS) such as urban greenery, wetlands, urban forests, green roofs and permeable pavements should be strategically designed to deliver simultaneous benefits for climate mitigation, adaptation, biodiversity, and health 63 . Embedding multifunctional green infrastructure into city planning as high-impact, low-regret strategies enhances systemic resilience and maximizes co-benefits across the CBH nexus 64 . Expanding green-blue infrastructure not only mitigates urban heat island effects and flood risk, but also enhances ecosystem services, air quality, and mental well-being. Empirical evidence suggests that multifunctional NBS are among the most frequently used and impactful nexus interventions in urban planning 65,66 . However, cities could move beyond ad hoc greening and develop systemic, spatially integrated green infrastructure plans that prioritize ecological connectivity and social equity 67 . Conclusions The five actionable insights presented in this study—mainstreaming transformative metrics, institutional innovation, expanding governance toolkits, fostering a culture of co-creation and leadership, and integrating multi-benefit nature-based solutions—collectively offer a roadmap for unlocking the transformative potential of urban governance across the CBH nexus. By directly addressing persistent blind spots, they highlight how cities can move beyond incremental adjustments toward more systemic, synergistic, and measurable sustainability transitions. These insights not only synthesize empirical patterns across diverse urban contexts but also emphasize how targeted interventions, institutional reforms, and holistic planning can align planetary and human health goals. Nevertheless, several limitations must be acknowledged. First, many impactful urban governance solutions—such as reducing global consumption or restructuring economic incentives—fall outside the operational reach of CBH synergies. Second, cities often lack the institutional capacity, financial resources, and jurisdictional authority needed to implement integrated and transformative strategies at scale. These limitations underscore the need for future research in three critical areas: (1) governance mechanisms that enable cities to influence system-wide drivers of unsustainability, (2) multi-scalar institutional designs that strengthen local capacities for nexus actions, and (3) innovative tools for monitoring indirect impacts and trade-offs. Addressing these gaps is essential for realizing the full potential of urban areas as engines of transformative change across the CBH nexus. METHODS Goal Specification We break down the overarching goal of mitigation into seven action fields, representing mid-level goals available to the city government to achieve the overarching goal. The city strategies are developed based on reviewing the relevant literature, siphoned through our goals-oriented framework, and guided by the operational question “what types of actions are under jurisdiction of urban government and available to cities to achieve the overarching goal?” We follow the same procedure for adaptation, biodiversity, and health goals (see Table 1 for the list of all strategies in the framework). For every city, each policy target or plan is classified to one or more of these strategies, which identifies the aimed goal(s) and gives us its position in the CBH nexus. Each entry is then evaluated for how transformative it is, using the analytical framework for the degree of change described above. The action fields then enable us to assess city progress toward the four overarching planetary health goals, focusing on the processes under the power of a city to influence. By operationalizing a “nexus approach to governance” 13 in our goals-oriented framework and complementing it with transformation assessment, this methodological approach enables comprehensive assessment of city transformations in relation to mitigation, adaptation, biodiversity and health goals, as well as how the city is positioned in the nexus. Case Selection Due to practical limitations related with the availability of city strategies and the relatively large number of documents per each city needed for analysis of the CBH nexus, we selected four urban case areas: Cork City (Ireland), Klagenfurt (Austria), Päijät-Häme region (Finland), and city-state Malta. Our case areas represent a stratified sample of the four biggest European bio-geographical regions spanning the continent on East-West and North-South axis: from Atlantic to Continental, and from Mediterranean to Boreal. All our case areas are in the EU in part due to the advantages of a shared legislative framework facilitating comparative analysis, but importantly because the EU, via the so-called “regulatory imperialism”, has the potential to externalize regulatory power through markets, thereby making other cities, states and corporations conform to the EU’s regulatory standards 68 , and additionally because the EU has the most developed legislative framework in the world for environmental governance 69 , including both climate, biodiversity and public health. Our third selection criteria was a developed CBH policy discourse. We selected these case cities due to their frontrunner status, to discover how a nexus approach to governance looks like in practice in some of the most promising examples. Cork, Klagenfurt, and Lahti (the biggest city of Päijät-häme region) are all signatories of the Climate Neutral and Smart Cities contract, committing them to carbon neutrality by 2030. Malta and Päijat-häme are extensively committed to Natura 2000 cites and biodiversity protection. Cork and Lahti are champions of public health and had recently participated in a Horizon Europe project focused on the nexus between urban biodiversity and health and well-being. Additionally, it appears that small and wealthy cities are more effective at implementing novel climate and biodiversity policies 70 . Content Analysis We followed content analysis approach 71 involving the five steps of organising the data, sorting the data, understanding the data, interpretation and explanation of the data. Material we analyzed consists of climate, biodiversity, transport, pollution control, city development, and health and well-being strategies and plans of the selected urban areas. We collected the documents concluding February 2025. In cases where there were multiple versions of the same plan (e.g. biodiversity strategy) we included only the latest version. We had 7 to 14 documents per city (Supplementary Material, Table 1). Document length varied from 10 pages to 750 pages, with an average length of approximately ca. 100 pages. The utilized material reflects both what the cities have already implemented and plan to do in the near future. The strategic documents create the framework in which climate, biodiversity, and public health work is done in the cities, but some of these are also political documents that advertise the image of the city, implying that the actual actions may be more or less ambitious than the policy plans. We coded policy plans and targets in the CBH nexus using Microsoft Excel program. The material was coded separately for each city. The plans and targets were coded in four main categories representing the four overarching policy goals: mitigation, adaptation, biodiversity, and health and wellbeing. Each of these overarching goals are broken down in 5 to 7 possible strategies to achieve a given goal: 7 urban policy strategies to achieve climate mitigation, 5 strategies to achieve adaptation goals, 6 for biodiversity, and 5 urban governance strategies for health and well-being goals (see Table 1 for the full list). Every entry was coded to one or more of these mid-level policy goals (e.g. a plan for urban greenery (B3) including both temperature moderation (A2) and providing access to nature (H1)), spanning one or more of the overarching goals (in this example: biodiversity, climate adaptation, and health and well-being). Policy plans with double or triple synergies across the CBH nexus (e.g. climate-health; or biodiversity-health) were coded in CB, CH, BC, and CBH categories. Supplementary information coded includes: the source document introducing the policy, a text sample, specific quantitative targets of the policy (if available), proposed indicators (if available), and investment mechanisms (if available). Every entry is coded for the degree of change (from incremental, over reformistic, to transformative) according to the definitions below. Coding qualitative data involves a significant degree of judgement, even more so when evaluating progress toward multiple and potentially diverging environmental goals, making many entries not straightforward to code, especially those that were potentially transformational. We resolved these challenges by using the EU directives as benchmarks for evaluating whether the cities' goals and targets are transformative enough (for evaluation criteria across domains and the related EU & WHO directives see Supplementary Material, Table 2 ). Furthermore, if an action contained at least some transformational objectives, it was coded as transformational. Defining incremental, reformistic and transformative strategies Typical actions coded as incremental include various adjustments to maintain business as usual, with minor potential to achieve the given goal or without changing the structures and socio-economic patterns that contribute to the given problem 72 . In the context of climate mitigation goals this can mean improving energy efficiency of buildings or investing into renewables on a scale which is not significantly different from the normal pace of economic growth, including the efficiency improvements and energy changes it brings. Early warning signals or ordinary flood defenses are also in this category. When it comes to biodiversity, incremental change can be an increase in urban greenery through sporadic green roofs and walls, or voluntary campaigns for reducing environmental pollution. In terms of health and well-being, incremental change can be minor increases of access to nature or of walking and cycling lanes. Also, existence of nominally ambitious targets (e.g. carbon neutrality) without developed plans how to actually get there, is also coded as incremental (i.e. it improves urban governance only as much as it expresses the ambition, without satisfying other conditions required to make impactful changes). Awareness raising campaigns in all four domains relying on voluntary changes in the behavior of citizens of businesses are classified as incremental. We coded as reformistic change policies that make the current system more flexible, but retain the fundamental structures or functions of the system 73 . These are the plans that potentially can assist the desired goal, but need to be further expanded and complemented. For example if the combustion fuel to produce energy is changed or if the increase in green or recreational spaces does not outpace the population growth. Regulatory changes which mandate provision of green spaces in new developments or moderate industrial pollution are typically also in this category. Given our goals-oriented framework, in evaluating reformistic as well as other degrees of change a lot depended not just on the type but also on the scale at which a policy is planned. Finally, transformation is broadly considered to be a fundamental change where the patterns, elements, and interrelations of the system change more comprehensively 74 . These processes of structural changes often happen through accumulation of actions 75 , including fundamental alterations in sense-making world views, political and power relations, social networks and ecosystems, physical infrastructure and technology. It can also involve rethinking the division between urban and nature, how the urban economy works, fundamental change in citizen lifestyles or how the city is governed. Following our goals-oriented approach, we complement the standard definition of transformation by including actions that facilitate achieving the relevant goal in the CBH nexus - making the definition of transformation ultimately practical. To an extent, evaluating transformation was possible only partially on the level of individual entries, and a more comprehensive assessment was possible only by systematically evaluating the progress of a city toward the overarching goals. There are three points to note about our analytical framework. First, according to our nested model of transformative change, the climate, biodiversity and health domains are interconnected with each other and individual policies often span goals across multiple domains, with different co-benefits, complicating the transformation assessment. In these cases, the assessment reflects the effectiveness of the policy to achieve its main goal. Transformation does not have to happen equally across all domains, but is sufficient that the change is fundamental for the main aim of the policy. Second, identifying change empirically is difficult 74 and a strict classification into categories such as those above can be arbitrary. Hence we consider the degrees of change more as a continuum of change, rather than a strict classification scheme. To complement these subtleties, we consider our qualitative analysis critical. Finally, we concentrate on the change advocated by the city government, while various degrees of change are possibly advocated, and are taking place outside of the formal policy sector, which is not captured in our sample. Declarations Data availability The data that supports the findings of this study are available at https://osf.io/rqtyd . Author contributions M.S. led the conceptualization, study design, data collection, and drafting of the manuscript. T.W. and V.L. contributed to data collection and created the figures. S.J. contributed to the study design and methodology development. N.K. contributed to policy analysis, interpretation of results, and visualisation. T.M. contributed to the conceptual framing of urban transformations. C.R. contributed to articulating principles for advancing urban CBH nexus governance and to the theoretical framing of the urban CBH nexus governance. 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Additional Declarations No competing interests reported. Supplementary Files SupplementaryMaterialforurbangovernanceoftheCBHnexus.docx Cite Share Download PDF Status: Published Journal Publication published 09 Feb, 2026 Read the published version in npj Urban Sustainability → Version 1 posted Editorial decision: Revision requested 14 Sep, 2025 Reviews received at journal 13 Sep, 2025 Reviews received at journal 26 Jul, 2025 Reviewers agreed at journal 15 Jul, 2025 Reviewers agreed at journal 30 Jun, 2025 Reviewers invited by journal 29 Jun, 2025 Editor assigned by journal 26 Jun, 2025 Submission checks completed at journal 26 Jun, 2025 First submitted to journal 21 Jun, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6944613","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":478457646,"identity":"1fd9a318-dd1c-4be4-a4d5-5b9e3c65de4f","order_by":0,"name":"Milutin Stojanovic","email":"data:image/png;base64,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","orcid":"","institution":"University of Helsinki","correspondingAuthor":true,"prefix":"","firstName":"Milutin","middleName":"","lastName":"Stojanovic","suffix":""},{"id":478457647,"identity":"f906e447-b686-4b26-bab3-7dde2edfced0","order_by":1,"name":"Thea Wübbelmann","email":"","orcid":"","institution":"Leibniz University Hannover","correspondingAuthor":false,"prefix":"","firstName":"Thea","middleName":"","lastName":"Wübbelmann","suffix":""},{"id":478457648,"identity":"74ebb784-cdbc-4735-a243-7d8e64672621","order_by":2,"name":"Sirkku Juhola","email":"","orcid":"","institution":"University of Helsinki","correspondingAuthor":false,"prefix":"","firstName":"Sirkku","middleName":"","lastName":"Juhola","suffix":""},{"id":478457649,"identity":"0222f0a7-6ddc-4205-a55c-699735f11c36","order_by":3,"name":"Nadja Kabisch","email":"","orcid":"","institution":"Leibniz University Hannover","correspondingAuthor":false,"prefix":"","firstName":"Nadja","middleName":"","lastName":"Kabisch","suffix":""},{"id":478457650,"identity":"9bfa9e59-01ed-4f48-89a6-fd3420962b2f","order_by":4,"name":"Timon McPhearson","email":"","orcid":"","institution":"New School","correspondingAuthor":false,"prefix":"","firstName":"Timon","middleName":"","lastName":"McPhearson","suffix":""},{"id":478457651,"identity":"005ef8be-7f56-4a78-843f-e0c8d285c5b4","order_by":5,"name":"Veera Lipponen","email":"","orcid":"","institution":"University of Helsinki","correspondingAuthor":false,"prefix":"","firstName":"Veera","middleName":"","lastName":"Lipponen","suffix":""},{"id":478457652,"identity":"5736e0b7-bad9-492e-a46f-01281e3080ce","order_by":6,"name":"Christopher Raymond","email":"","orcid":"","institution":"University of Helsinki","correspondingAuthor":false,"prefix":"","firstName":"Christopher","middleName":"","lastName":"Raymond","suffix":""}],"badges":[],"createdAt":"2025-06-21 11:23:13","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6944613/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6944613/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s42949-026-00345-w","type":"published","date":"2026-02-09T15:58:05+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":85923107,"identity":"960de98e-2781-403f-a0f8-e674de7c7fef","added_by":"auto","created_at":"2025-07-03 08:21:36","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":127395,"visible":true,"origin":"","legend":"\u003cp\u003eThe climate-biodiversity-health nexus approach to governance\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-6944613/v1/eb5524f0ad67633c32fec600.png"},{"id":85924765,"identity":"f0a93670-85f7-45e1-866e-09fdee761c72","added_by":"auto","created_at":"2025-07-03 08:29:36","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":73440,"visible":true,"origin":"","legend":"\u003cp\u003eTotal number of entries for each action field combined across case areas, including the degree of change\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-6944613/v1/68a0796581dffc71f955ce46.png"},{"id":85923110,"identity":"eb5b0807-e1c9-402a-906d-49dbfaa5d380","added_by":"auto","created_at":"2025-07-03 08:21:36","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":107934,"visible":true,"origin":"","legend":"\u003cp\u003eNumber of entries falling in each nexus domain. The size of circles and intersections represent the number of entries for each nexus domain in the four cities. C: Climate, B: Biodiversity, H: Health\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-6944613/v1/a2a1fffa3b90649222b58653.png"},{"id":85924766,"identity":"bcc7d7a3-93ae-474c-8f3d-db77bfe54508","added_by":"auto","created_at":"2025-07-03 08:29:36","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":340224,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eA-4.D\u003c/strong\u003e. Percentage share of entries within each action field per city, including the degree of change.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-6944613/v1/9d564ecf95b75b00dbd5fb0f.png"},{"id":85925424,"identity":"10b5540c-880f-45e9-9f59-1d6ee88b851a","added_by":"auto","created_at":"2025-07-03 08:37:36","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":67754,"visible":true,"origin":"","legend":"\u003cp\u003eSteps undertaken for the policy analysis.\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-6944613/v1/b0375902c4bc048929ba9ace.png"},{"id":102785212,"identity":"850d2350-3db8-4d20-86d0-02a4dbf2333a","added_by":"auto","created_at":"2026-02-16 16:03:08","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1569672,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6944613/v1/e29f9b6f-a607-44d5-abe7-81aa108cd0d8.pdf"},{"id":85923108,"identity":"73df21ec-c32a-44ea-aff0-fdbe02e62cbe","added_by":"auto","created_at":"2025-07-03 08:21:36","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":15342,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryMaterialforurbangovernanceoftheCBHnexus.docx","url":"https://assets-eu.researchsquare.com/files/rs-6944613/v1/e8e036e0bf3a544404782654.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Bright spots and actionable insights for urban governance of the climate–biodiversity–health nexus","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eIn the face of looming climate change and biodiversity crises, cities are increasingly recognized as key actors for climate action\u003csup\u003e1\u003c/sup\u003e. Cities have played a central role in urban climate governance including designing the institutions, infrastructures, and behaviors necessary for climate adaptation and carbon mitigation\u003csup\u003e2\u0026ndash;4\u003c/sup\u003e. However, policy analyses over the past decade have identified limitations in the comprehensiveness and level of integration of adaptation and mitigation in existing climate action plans\u003csup\u003e5\u003c/sup\u003e. Scholars are thus increasingly investigating the climate and health nexus \u003csup\u003e6,7\u003c/sup\u003e, as well as the climate and biodiversity nexus in cities \u003csup\u003e8,9\u003c/sup\u003e with increasing recognition that urban governance needs to consider the critical interconnections, feedbacks, and dynamic relationships between biodiversity, climate change, and health. The recent joint report of Intergovernmental Panel on Climate Change (IPCC) and Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) calls out the interconnections between climate and biodiversity crises and their interdependence with other societal issues, including health\u003csup\u003e10\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eFeedback loops and interactions among biodiversity, climate and society at multiple spatial, temporal and organizational scales can transmit risks from one system to another and thus need to be considered together as a nexus\u003csup\u003e11\u003c/sup\u003e. The feedbacks between biodiversity and other elements in the nexus can be negative, positive and contain both positive and negative influences\u003csup\u003e12\u003c/sup\u003e. Governance strategies that ignore Climate-Biodiversity-Health (CBH) nexus interactions may significantly underestimate the transmitted risks from interconnected global challenges, and also miss out on opportunities for transformative climate change mitigation and adaptation, as well as producing measurable biodiversity and wellbeing co-benefits\u003csup\u003e13,14\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eWhile recent studies highlight the opportunities and challenges of transformative governance within the CBH nexus\u003csup\u003e11\u003c/sup\u003e, empirical investigations into how these interactions within the nexus manifest in real-world governance contexts remain limited and largely anecdotal. There is a notable lack of systematic empirical investigations into what is happening in urban governance of the CBH nexus, and in a more general sense, what governance mechanisms are capable of effectively anticipating and addressing the interlinked challenges of climate, biodiversity, and societal change. A recent nexus assessment of EU policy documents reveal that most policy interlinkages are climate-centered, i.e. they consist of the expected contribution of circular economy and biodiversity policies to climate mitigation/adaptation\u003csup\u003e15\u003c/sup\u003e. Further, there is a dearth of policy analyses that have reported on city-level strategies and actions for addressing co-benefits and co-determinants across the CBH nexus\u003csup\u003e16,17\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eThe aim of this paper is to empirically explore how the urban governance of the CBH nexus is approached in policy and planning practice. The aim is guided by the following objectives: 1) Apply a structured policy document analysis to investigate how policy strategies, plans and targets across European case cities envision and engage with the CBH nexus; 2) Critically examine what type of actions cities propose to address climate change, biodiversity loss, and public health and well-being needs, and how transformative these actions are; and 3) Identify bright spots and blind spots resulting from employing a nexus approach in urban governance to enable distillation of key insights forward for improving governance for the CBH nexus.\u003c/p\u003e\n\u003cp\u003eWe use qualitative policy analysis to assess the degree of transformative change in urban environmental governance and identify insights and paths forward across the CBH nexus. We used a stratified sample representing the four largest biogeographical regions of Europe \u0026ndash; Atlantic, Continental, Mediterranean, and Boreal to identify case studies to examine BCS nexus governance in practice. We examine four urban areas - Cork, Klagenfurt, P\u0026auml;ij\u0026auml;t-H\u0026auml;me, Malta - within the EU which provide sample cases with similar overarching regulatory frameworks important to empirical comparison. Though focused on EU cases, results have potential global significance due to EU influence and power through markets to affect governance approaches far outside the region. We examine policies and plans that span two or more domains of the nexus and explore the most synergistic and transformative examples of nexus governance to identify bright spots (and blind spots) for learning and applying in other urban contexts globally.\u003c/p\u003e\n\u003ch3\u003eAnalytical framework for the CBH Nexus\u003c/h3\u003e\n\u003cp\u003eRecent conceptualizations of the CBH nexus focus on identifying the key domains and illustrating how they interact with each other\u003csup\u003e13\u003c/sup\u003e. It was proposed by Newell\u003csup\u003e18\u003c/sup\u003e to set clear sustainability objectives, but here we build on its use by Ghadari et al.\u003csup\u003e19\u003c/sup\u003e to support the delivery of integrated planning and policy objectives.\u003c/p\u003e\n\u003cp\u003eThe health dimension focuses on the interplay between human health and well-being and associated justice and governance challenges\u003csup\u003e11\u003c/sup\u003e. Important direct and indirect effects exist across biodiversity, climate and society, denoted as \u0026lsquo;couplings\u0026rsquo;. The biodiversity-climate coupling refers to strategies that provide co-benefits or costs for climate and biodiversity objectives; for example the use of nature-based solutions in cities to mitigate the risks of coastal flooding and to enhance biodiversity outcomes\u003csup\u003e20\u003c/sup\u003e. Much research has also focused on the carbon sequestration potential of different types of ecosystems, implying a co-benefit between biodiversity and carbon mitigation \u003csup\u003e21\u0026ndash;23\u003c/sup\u003e. Yet, some carbon mitigation strategies can be detrimental to biodiversity \u003csup\u003e24,25\u003c/sup\u003e, implying that the biodiversity-climate nexus can have both positive and negative direct and indirect effects.\u003c/p\u003e\n\u003cp\u003eThe climate-health coupling denotes how climate action produces co-benefits and costs for mental and physiological health. For example, health benefits received by avoiding the psychological stress of natural disasters\u003csup\u003e26\u003c/sup\u003e, and the health benefits derived from reduced air pollution\u003csup\u003e27\u003c/sup\u003e or heat stress\u003csup\u003e28\u003c/sup\u003e. Yet certain climate actions can adversely affect human health; for example, the planting of certain tree species can lead to the local production of allergens \u003csup\u003e29,30\u003c/sup\u003e and impact mental health \u003csup\u003e31\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eThe biodiversity-health coupling has been captured through multiple frameworks and concepts. For example, the One Health framework ensures that human, animal (e.g., domesticated, livestock), and environmental health (including wildlife health) questions are evaluated holistically\u003csup\u003e32,33\u003c/sup\u003e. The ecosystem services framework shows how ecosystems contribute to human wellbeing through provisioning, regulating, supporting, and cultural services\u003csup\u003e34\u003c/sup\u003e. Additionally, literature on green equity and environmental justice seeks to spotlight the inequitable access to and exposure to the benefits of quality green space, which directly and indirectly affect health outcomes in society\u003csup\u003e35\u003c/sup\u003e. Marsell et al. \u003csup\u003e36\u003c/sup\u003e provide a framework for connecting both the beneficial as well as harmful links between biodiversity and health. Reducing harms is connected to the provision of medicines and decreasing air and noise pollution exposures; restoring capacities such as attention restoration and stress reduction; building capacities such as promoting physical activity; and reducing the causes of harm such as reducing exposure to dangerous wildlife, zoonotic diseases and allergens.\u003c/p\u003e\n\u003cp\u003eAs an all-encompassing framework, here we consider the CBH nexus through the theoretical lens of the Planetary Health framework to examine the interconnections between human health, ecosystem integrity, and climate stability in urban governance. Grounded in the definition of planetary health as \u0026ldquo;the health of human civilization and the state of the natural systems on which it depends\u0026rdquo;\u003csup\u003e37\u003c/sup\u003e, the framework provides a means for understanding how urban environments contribute to or mitigate environmental degradation and health inequities\u003csup\u003e38\u003c/sup\u003e. By applying a nested model of Planetary Health tailored for urban settings\u003csup\u003e39,40\u003c/sup\u003e this study emphasizes the interdependence of human well-being, biodiversity, and climate resilience in cities. It builds on calls for ambitious, integrated, and city-level sustainability transformations to safeguard both human and planetary health\u003csup\u003e41\u003c/sup\u003e, offering a theoretical grounding to explore how urban governance can be directed toward more holistic and sustainable outcomes across the CBH nexus.\u003c/p\u003e\n\u003cp\u003eDespite the paramount importance of sustainability transformations, most definitions do not specify how these processes can be observed empirically or measured, and with what methods\u003csup\u003e42\u003c/sup\u003e. Since a goals-oriented framework could be more easily operationalized and applied\u003csup\u003e18\u003c/sup\u003e, we develop an analytical framework for analyzing urban transformations based on defining four overarching goals of urban sustainability governance: climate mitigation, climate adaptation, biodiversity protection, and human health and well-being. We then deconstruct each of these four overarching CBH goals into a set of action fields cities can use to achieve each of them (see Table\u0026nbsp;1 for the full list of strategies). The action fields are identified based on the operational question \u0026ldquo;What types of actions are available to cities to achieve each of the overarching goals?\u0026rdquo;, grounded in the respective literature on climate, biodiversity and health governance\u003csup\u003e40,43,44\u003c/sup\u003e, and empirically adjusted through a preliminary policy analysis. We consider this operational focus crucial as it enables our goals-oriented framework to instantiate the concept of sustainability transformations in specific, observable and measurable policy actions, which can then be evaluated for their impact on the progress toward each of the four overarching CBH goals. By operationalizing a \u0026ldquo;nexus approach to governance\u0026rdquo; \u003csup\u003e13\u003c/sup\u003e in our goals-oriented framework\u003csup\u003e18\u003c/sup\u003e, this methodological approach enables empirical investigation of city transformations in the CBH nexus and mapping how nexus approach to governance looks like in cites.\u003c/p\u003e\n\u003cp\u003eTable\u0026nbsp;1. List of action fields available to cities to achieve the CBH goals\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eWe study the degree of change in urban governance of mitigation, adaptation, biodiversity and health and well being in the case cites. To assess the transformative potential of policy plans, targets and strategies, the method used here builds on the sustainability transformations literature, particularly in urban contexts. Determining the degree of change is challenging, particularly in identifying a transformation, as transformative changes are often recognized only in hindsight\u003csup\u003e45\u003c/sup\u003e. We build on the analytical framework for assessing the degree of change in climate governance\u003csup\u003e46\u003c/sup\u003e, expand the definition to cover the whole CBH nexus, and adapt it to our goals-oriented framework by including the potential of policies to satisfy the CBH needs. We draw on three degrees of change across the CBH nexus (incremental, reformistic, and transformative change) which cover climate, biodiversity and health policies of cities. Incremental change refers to small-scale, technocratic improvements made within existing policy frameworks and institutional logics, often lacking systemic impact. Reformistic change refers to more ambitious, systemic adjustments that seek to realign institutional practices or policy priorities while still operating within the current governance paradigm. Transformative change refers to deep, structural shifts in governance, societal values, and institutional arrangements that not only redefine sustainability pathways but also demonstrate a capacity to effectively address environmental and social challenges. (For detailed elaboration on these distinctions, see Section 4.) We use these definitions to empirically examine what kind of changes are advocated in actual urban governance of the nexus.\u003c/p\u003e"},{"header":"RESULTS","content":"\u003cp\u003eBased on the analysis of 32 strategic planning documents, we coded 362 policy plans in the four case areas, with the highest number of plans concerning mitigation (258 plans), then biodiversity (203), adaptation (179), and health (143), with 127 plans covering two domains (i.e. having double synergies: climate-biodiversity (64); climate-health (54), biodiversity-health (9)), and 37 plans having triple CBH synergies, with 59 plans including nature-based solutions (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). We identified 23 action fields which are available to cities to address the overarching CBH goals. On average, we found ca. 30 entries per action field (see Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). Most common action fields include: sustainable transport (M5: 79 entries), promoting climate action (M7: 57), organizational adaptation (A4: 58), nature restoration (B2: 66), urban greenery (B3: 47), and promoting active lifestyles (H2: 53 entries). Strategies that were identified with a lower number of entries are waste management (M4: 17), private sector decarbonization (M6: 12), controlling invasive alien species (B4: 13), and supporting sustainable diets (H4: 6).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eAll the analyzed cities contain vocabularies and objectives representing and targeting the CBH nexus. In general, the existing plans primarily promote incremental and reformistic change such as promoting climate action and increasing green infrastructure, but also suggest many transformational proposals such as radical modal shifts toward sustainable mobility. Figure\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e highlights how each city prioritizes different domains of the CBH nexus, revealing variation in thematic focus and degrees of integration. Figure\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e complements this by illustrating differences in the number and type of action fields used to address the CBH nexus, and shows that not all areas of the CBH nexus are equally covered by different cities. Specifically, every city focuses on a particular area of the CBH nexus, typically two out of the four overarching goals, where their governance has transformative characteristics. Cork excels in climate adaptation and health and well-being; Klagenfurt in climate mitigation and biodiversity protection; P\u0026auml;ij\u0026auml;t-H\u0026auml;me shows signs of transformative governance in mitigation and biodiversity; Malta in biodiversity and climate adaptation. Importantly, most overarching goals show transformative potential (e.g. climate neutrality by 2030; or stopping biodiversity loss), meaning that they are nominally on track to achieve the UN targets. All analyzed urban areas emphasize policies with double and triple synergies across the three domains of the CBH nexus. Overall, cities highlight synergistic plans, notably green infrastructure that contributes to mitigation, adaptation, biodiversity and health and well-being, as well as other no regret solutions such as improving energy efficiency of buildings or reducing traffic pollution.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eBlindspots in urban CBH nexus governance\u003c/p\u003e \u003cp\u003eWhile our four urban case areas demonstrate efforts toward transformative change in CBH governance, we identified several blind spots limiting the effectiveness and transformative potential of how a nexus approach to governance is practiced. We define \u0026ldquo;blind spots\u0026rdquo; as systemic gaps or limitations in urban governance where the integration of climate, biodiversity, and health goals is absent, insufficient, or poorly operationalized, thereby constraining the capacity of CBH nexus approaches to deliver transformative outcomes. These blind spots highlight challenges in policy implementation, sectoral integration, trade-offs management, and policy-impact strategies.\u003c/p\u003e\n\u003ch3\u003eLimited Policy Coherence and Implementation Gaps\u003c/h3\u003e\n\u003cp\u003eWhile all cities have developed CBH nexus-oriented policy goals, there is often a disconnect between high-level sustainability ambitions and mid-level implementation strategies. Key issues include notably a lack of specificity in targets \u0026ndash; many policy documents outline broad ambitions (e.g., carbon neutrality by 2030, expanding urban greenery) but fail to provide detailed and realistic plans on how to achieve and implement them. The main blind spot concerns fragmented or inconsistent mid-level goals as some cities set conflicting or weak intermediate targets, insufficient for achieving the proclaimed overarching goal. For example, Malta plans for electrifying only 50% of vehicle transport without reforming clean energy production, and Cork plans for deep energy-efficiency renovation of only 50% of residential buildings, while at the same time aiming for the carbon neutrality target.\u003c/p\u003e \u003cp\u003eA related issue is unclear funding and resource allocation \u0026ndash; in most cases, policies lack detailed financial plans, making it difficult to assess their feasibility and implementation capacity. All cities emphasize ambitious CBH nexus targets, notably for mitigation, but are in the need of developing strategies to bridge high-level goals with implementation measures.\u003c/p\u003e\n\u003ch3\u003ePersistence of Sectoral Silos and Weak Institutional Integration\u003c/h3\u003e\n\u003cp\u003eDespite efforts to establish cross-sectoral governance structures, many cities seem to continue to operate in departmental silos, limiting the effectiveness of the nexus approach. A key issue that appeared through the policy analysis is the incompatibility among some policy plans written by different government departments (e.g., urban expansion projects that conflict with biodiversity goals) which points to a potential insufficient institutional integration. Despite the establishment of new governance bodies (e.g., task forces, advisory councils), these bodies often function alongside traditional departments rather than replacing outdated separated structures.\u003c/p\u003e\n\u003ch3\u003eInsufficient Recognition of Indirect Emissions and Systemic Trade-Offs\u003c/h3\u003e\n\u003cp\u003eMost cities focus on direct emission reduction goals and localized sustainability interventions, neglecting the broader systemic impacts of urban consumption patterns. A key gap concerns the failure to address indirect emissions, as policies often overlook emissions embedded in food systems, industrial production, and imported goods, despite their major climate and biodiversity footprints.\u003c/p\u003e \u003cp\u003eThere is a narrow focus on green infrastructure in all case areas. While green infrastructure is widely promoted as the prime example of nexus governance, cities rarely address broader land use trade-offs (related to e.g. urban sprawl, population increase, agricultural expansion, or deforestation linked to bioenergy production). The narrow focus on green infrastructure creates two problems. First, in pursuing ambitious mitigation targets, there is a pressure for externalizing emissions by accounting them outside the city. In Lahti (P\u0026auml;ij\u0026auml;t-H\u0026auml;me), biomass burning is promoted as a \"renewable\" clean energy source and it is the stepping stone for carbon neutrality. However, wood burning actually increases carbon emissions compared to coal in the first 100 years if the wood is replanted sustainably\u003csup\u003e47\u003c/sup\u003e, but despite this, because wood emissions are accounted for where the wood was cut, this is considered a mitigation \u0026lsquo;victory\u0026rsquo; for Lahti. The second issue is that these patterns unravel potential and undisclosed contradictions or misalignment among sustainability goals. Some policies pursue carbon neutrality without considering biodiversity trade-offs, such as large-scale tree planting initiatives that may reduce local species diversity when species diversity is not considered in tree species selection\u003csup\u003e48\u003c/sup\u003e.\u003c/p\u003e\n\u003ch3\u003eOver-Reliance on Voluntary and Soft Governance Measures\u003c/h3\u003e\n\u003cp\u003eCities frequently rely on informal strategies, persuasion, awareness campaigns, and voluntary citizen initiatives rather than binding formal regulations or structural changes of political and economic systems\u003csup\u003e49\u003c/sup\u003e. The lack of formal regulation can result in weak to non-existent enforcement mechanisms leaving many sustainability strategies to rely on awareness-building and creating moral incentives, rather than enforceable regulations. In rare cases redesigning economic incentives is employed.\u003c/p\u003e \u003cp\u003eAssociated with soft governance measures, a lack of accountability and monitoring is a pervasive issue in the policy documents and city administrations. There is often insufficient tracking of policy effectiveness, making it difficult to assess progress toward CBH goals. The reliance on soft governance measures discloses critical dependence on behavioral change rather than systemic reform. Many policies encourage voluntary action (e.g., promoting individual or corporate climate actions such as sustainable diets or low-carbon economy) rather than mandating shifts (e.g., regulating high-emission food supply chains). Some key policies depend on strategies for change lacking robust empirical or theoretical backing. For example, Cork plans to have 50% of all trips done by active or public transport, yet there are no regulatory or economic measures sanctioning or even significantly incentivizing against the use of cars. Consequently, many policy plans have weak effectiveness, insufficient for transformative change\u003csup\u003e50,51\u003c/sup\u003e.\u003c/p\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eScarcity of types of Nexus Solutions\u003c/h2\u003e \u003cp\u003eDespite the high-level emphasis in IPCC-IPBES reports of the crucial role of nexus policies\u003csup\u003e10,11,13\u003c/sup\u003e, we found few types of synergistic solutions in the studied case areas, consistent with the lack of synergistic solutions reported in recent literature. Except for a few types of NBS and solutions for sustainable transport-active mobility, both of which have rather limited potential for climate and biodiversity goals, there is a remarkable lack of synergistic governance solutions articulated for cities. Particularly lacking are solutions that explicitly target climate mitigation while also advancing biodiversity conservation or public health outcomes. This absence points to a critical implementation gap: while the discourse around synergies is well established, the design and institutionalization of cross-cutting policies remain underdeveloped. The result is a continued reliance on single-goal policies combined with a handful of nexus solutions, that fall short of the transformative ambition required by the calls for \u0026ldquo;a nexus approach to governance\u0026rdquo; \u003csup\u003e10\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eActionable insights for increasing the transformative potential of urban governance across the CBH nexus\u003c/p\u003e \u003cp\u003eThis paper identified a number of blindspots concerning the governance of the BCS nexus across the four cases. In this discussion, we focus on responses to overcome each blindspot, summarised in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e2\u003c/span\u003e. These responses synthesize empirical insights from the four case cities and supported by the literature, respond directly to the limitations and blind spots identified in the current governance practices. They offer a roadmap for urban actors seeking to operationalize the BCS nexus in transformative and context-sensitive ways.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eBlind spots in urban governance of the BCS nexus and the actionable insights to overcome them.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"2\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSummary of blindspots\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eActionable insights to overcome the blindspots\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1. Limited policy coherence and implementation gaps\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1. Mainstream Transformative Metrics and Indicators\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2. Persistence of sectoral silos and weak institutional integration\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2. Institutionalize Cross-Sectoral Nexus Governance\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3. Insufficient recognition of indirect emissions and systemic trade-offs\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3. Expand Governance Toolkits and Evaluation to Address Systemic Trade-Offs\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4. Over-reliance on voluntary and soft governance measures\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4. Cultivate a Culture of Innovation, Learning, Co-Creation and Leadership\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e5. Scarcity of types of nexus solutions\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5. Integrate Multi-Benefit Nature-Based Solutions across Sectors\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e1. Mainstream Transformative Metrics and Indicators\u003c/p\u003e \u003cp\u003eCities need to move beyond broad sustainability commitments\u0026mdash;like carbon neutrality by 2030 or biodiversity net gain\u0026mdash; and develop quantified, time-bound, and actionable mid-level targets. Cities should also develop intermediate, sector-specific targets that link high-level ambitions with operational measures\u003csup\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e20,52\u003c/span\u003e\u003c/sup\u003e. In our sample, although certain links could be observed between high-level biodiversity conservation ambitions and individual urban greening measures, there was a systemic lack of clear, quantified mid-level targets and actionable implementation pathways for both biodiversity and climate mitigation goals\u0026mdash;undermining the ability of cities to translate strategic ambitions into measurable outcomes. Clear implementation pathways, supported by adequate financing and institutional commitment, are essential for translating ambition into impact. Transformation cannot be monitored or managed without clear, measurable, and integrated indicators that capture synergies and trade-offs across the CBH domains. Cities could thus adopt metrics that go beyond carbon accounting to include biodiversity outcomes (e.g. native species cover, ecological connectivity) and social well-being (e.g. access to green space, respiratory health, mortality rates). These indicators could be institutionalized in planning and budgeting processes to support accountability and strategic decision-making.\u003c/p\u003e \u003cp\u003e2. Institutionalize Cross-Sectoral Nexus Governance\u003c/p\u003e \u003cp\u003eUrban governance has traditionally operated through fragmented departmental structures, where climate, health, transport, and biodiversity policies are designed and implemented in isolation, what undermines efforts to deliver co-benefits, manage trade-offs, and align strategies with systemic sustainability goals \u003csup\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e53,54\u003c/span\u003e\u003c/sup\u003e. Institutional innovation and bridging organisations\u0026mdash;including the establishment of cross-departmental task forces, decision institutions, policy arenas and inter-departmental collective actions\u0026mdash;enables more collaboration around sustainability initiatives, as well as fosters coordination, shared accountability, and mutual learning\u003csup\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003e55\u0026ndash;57\u003c/span\u003e\u003c/sup\u003e. For example, Cork\u0026rsquo;s formation of interdepartmental working groups and coordination units for climate action improved alignment between adaptation, mobility, and green infrastructure strategies. Similarly, P\u0026auml;ij\u0026auml;t-H\u0026auml;me\u0026rsquo;s regional collaboration structures have supported the development of climate roadmaps that integrate biodiversity and health concerns across municipal boundaries.\u003c/p\u003e \u003cp\u003eResearch shows that such integrative governance arrangements are vital for addressing complex, \u0026ldquo;wicked\u0026rdquo; problems like those situated at the climate\u0026ndash;biodiversity\u0026ndash;health nexus. The literature on polycentric governance highlights the importance of overlapping and interacting institutions to manage multi-scalar, cross-sector challenges effectively\u003csup\u003e58\u003c/sup\u003e. Urban climate governance gains effectiveness when embedded in flexible, multi-level institutional arrangements that enable experimentation, cross-sector collaboration, and civil society engagement\u003csup\u003e4\u003c/sup\u003e. Moreover, Hofstad et al.\u003csup\u003e3\u003c/sup\u003e emphasize the role of institutional capacity for collaborative governance, which includes not only formal structures but also shared visions, routines of cooperation, and the ability to negotiate across competing objectives. They call for urban administrations to foster cross-sector collaboration and policy integration in turbulent environments that facilitate coherence among sectoral strategies and better reflect the interdependencies across sustainability domains. In sum, institutional innovation is not merely about structural reorganization, but about cultivating governance cultures that value integration, co-benefits, and long-term resilience. By reforming governance architecture and promoting integrative routines, cities could enhance their transformative capacity to act across the CBH nexus.\u003c/p\u003e \u003cp\u003e3. Expand Governance Toolkits and Evaluation to Address Systemic Trade-Offs\u003c/p\u003e \u003cp\u003eUrban CBH strategies tend to focus on direct emissions or local biodiversity \u0026mdash;such as place-based interventions, transport modal shifts or energy retrofits, \u0026mdash;while often neglecting systemic impacts like resource flows and global consumption, thereby neglecting indirect emissions and biodiversity loss from energy, material and food imports, and global land use change. Cities should go beyond isolated actions, such as green infrastructure and voluntary behavior change, by developing new, evidence-based governance tools that explicitly manage trade-offs\u0026mdash;especially in land use, energy, industry, and food systems. Incorporating indirect emissions and planetary boundaries into urban planning is critical. Expanding the evidence base will also require investments in monitoring and evaluation, to go beyond direct emissions sources to better understand and evaluate indirect emissions and impacts across systems and their interactions.\u003c/p\u003e \u003cp\u003eTo increase their transformative potential, cities must expand their governance toolkits to better account for and address indirect emissions\u0026mdash;by regulating and incentivizing low-carbon, biodiverse, and health-promoting urban metabolisms across supply chains and consumption systems. This may include food policy, procurement standards, and embedded emissions assessments designed to reduce carbon leakage and address emissions embodied in imported goods and services\u003csup\u003e59\u003c/sup\u003e. Embracing systems-thinking in policy design is crucial for cities to move from incremental improvements to structural and transformational shifts in how urban life interacts with planetary boundaries\u003csup\u003e54,60\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003e4. Cultivate a Culture of Innovation, Learning, Co-Creation and Leadership\u003c/p\u003e \u003cp\u003eNexus governance requires a commitment to multiple modes of innovation, learning and knowledge co-creation across administrative sectors. Drawing on the results of a systematic review of 250 nature-based solutions projects, Davis et al. \u003csup\u003e61\u003c/sup\u003e identify good practice criteria for the delivery of integrated solutions, including: i) Effective - the ability to deliver intended benefits and address specific challenges; ii) Inclusive - the incorporation of diverse perspectives, stakeholders, and communities in planning; iii) innovative - capacity to transform challenges into opportunities for creative and novel approaches; iv) locally appropriate - Tailored to local conditions and integrating site-specific knowledge and resources; v) multifunctional - provide diverse benefits simultaneously; vi) sustainable in the long-term - provide diverse benefits simultaneously over the long-term and vii) upscalable - involving experimenting and adapting designs based on local contexts. Our CBH nexus assessment reveals the critical importance of new forms of leadership for addressing the interest conflicts, power games, legitimacy concerns and trade-offs between equally desirable goals, including integrative leadership to ensure policy integration across the nexus\u003csup\u003e62\u003c/sup\u003e.For example, in Cork, innovative leadership initiatives\u0026mdash;such as the mayor and government officials commuting by bicycle, retrofitting government buildings to net-zero standards, transitioning the municipal vehicle fleet to electric, and eliminating single-use plastics at government events\u0026mdash;demonstrate a proactive, integrative approach to embedding sustainability principles and values into everyday governance practice.\u003c/p\u003e \u003cp\u003e5. Integrate Multi-Benefit Nature-Based Solutions across Sectors\u003c/p\u003e \u003cp\u003eNature-based solutions (NBS) such as urban greenery, wetlands, urban forests, green roofs and permeable pavements should be strategically designed to deliver simultaneous benefits for climate mitigation, adaptation, biodiversity, and health\u003csup\u003e63\u003c/sup\u003e. Embedding multifunctional green infrastructure into city planning as high-impact, low-regret strategies enhances systemic resilience and maximizes co-benefits across the CBH nexus\u003csup\u003e64\u003c/sup\u003e. Expanding green-blue infrastructure not only mitigates urban heat island effects and flood risk, but also enhances ecosystem services, air quality, and mental well-being. Empirical evidence suggests that multifunctional NBS are among the most frequently used and impactful nexus interventions in urban planning\u003csup\u003e65,66\u003c/sup\u003e. However, cities could move beyond ad hoc greening and develop systemic, spatially integrated green infrastructure plans that prioritize ecological connectivity and social equity\u003csup\u003e67\u003c/sup\u003e.\u003c/p\u003e \u003c/div\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThe five actionable insights presented in this study\u0026mdash;mainstreaming transformative metrics, institutional innovation, expanding governance toolkits, fostering a culture of co-creation and leadership, and integrating multi-benefit nature-based solutions\u0026mdash;collectively offer a roadmap for unlocking the transformative potential of urban governance across the CBH nexus. By directly addressing persistent blind spots, they highlight how cities can move beyond incremental adjustments toward more systemic, synergistic, and measurable sustainability transitions. These insights not only synthesize empirical patterns across diverse urban contexts but also emphasize how targeted interventions, institutional reforms, and holistic planning can align planetary and human health goals.\u003c/p\u003e \u003cp\u003eNevertheless, several limitations must be acknowledged. First, many impactful urban governance solutions\u0026mdash;such as reducing global consumption or restructuring economic incentives\u0026mdash;fall outside the operational reach of CBH synergies. Second, cities often lack the institutional capacity, financial resources, and jurisdictional authority needed to implement integrated and transformative strategies at scale. These limitations underscore the need for future research in three critical areas: (1) governance mechanisms that enable cities to influence system-wide drivers of unsustainability, (2) multi-scalar institutional designs that strengthen local capacities for nexus actions, and (3) innovative tools for monitoring indirect impacts and trade-offs. Addressing these gaps is essential for realizing the full potential of urban areas as engines of transformative change across the CBH nexus.\u003c/p\u003e"},{"header":"METHODS","content":"\u003cp\u003e \u003c/p\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003eGoal Specification\u003c/h2\u003e \u003cp\u003eWe break down the overarching goal of mitigation into seven action fields, representing mid-level goals available to the city government to achieve the overarching goal. The city strategies are developed based on reviewing the relevant literature, siphoned through our goals-oriented framework, and guided by the operational question \u0026ldquo;what types of actions are under jurisdiction of urban government and available to cities to achieve the overarching goal?\u0026rdquo; We follow the same procedure for adaptation, biodiversity, and health goals (see Table\u0026nbsp;1 for the list of all strategies in the framework). For every city, each policy target or plan is classified to one or more of these strategies, which identifies the aimed goal(s) and gives us its position in the CBH nexus. Each entry is then evaluated for how transformative it is, using the analytical framework for the degree of change described above. The action fields then enable us to assess city progress toward the four overarching planetary health goals, focusing on the processes under the power of a city to influence. By operationalizing a \u0026ldquo;nexus approach to governance\u0026rdquo; \u003csup\u003e13\u003c/sup\u003e in our goals-oriented framework and complementing it with transformation assessment, this methodological approach enables comprehensive assessment of city transformations in relation to mitigation, adaptation, biodiversity and health goals, as well as how the city is positioned in the nexus.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003eCase Selection\u003c/h2\u003e \u003cp\u003eDue to practical limitations related with the availability of city strategies and the relatively large number of documents per each city needed for analysis of the CBH nexus, we selected four urban case areas: Cork City (Ireland), Klagenfurt (Austria), P\u0026auml;ij\u0026auml;t-H\u0026auml;me region (Finland), and city-state Malta. Our case areas represent a stratified sample of the four biggest European bio-geographical regions spanning the continent on East-West and North-South axis: from Atlantic to Continental, and from Mediterranean to Boreal. All our case areas are in the EU in part due to the advantages of a shared legislative framework facilitating comparative analysis, but importantly because the EU, via the so-called \u0026ldquo;regulatory imperialism\u0026rdquo;, has the potential to externalize regulatory power through markets, thereby making other cities, states and corporations conform to the EU\u0026rsquo;s regulatory standards\u003csup\u003e68\u003c/sup\u003e, and additionally because the EU has the most developed legislative framework in the world for environmental governance\u003csup\u003e69\u003c/sup\u003e, including both climate, biodiversity and public health. Our third selection criteria was a developed CBH policy discourse. We selected these case cities due to their frontrunner status, to discover how a nexus approach to governance looks like in practice in some of the most promising examples. Cork, Klagenfurt, and Lahti (the biggest city of P\u0026auml;ij\u0026auml;t-h\u0026auml;me region) are all signatories of the Climate Neutral and Smart Cities contract, committing them to carbon neutrality by 2030. Malta and P\u0026auml;ijat-h\u0026auml;me are extensively committed to Natura 2000 cites and biodiversity protection. Cork and Lahti are champions of public health and had recently participated in a Horizon Europe project focused on the nexus between urban biodiversity and health and well-being. Additionally, it appears that small and wealthy cities are more effective at implementing novel climate and biodiversity policies\u003csup\u003e70\u003c/sup\u003e.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003eContent Analysis\u003c/h2\u003e \u003cp\u003eWe followed content analysis approach\u003csup\u003e71\u003c/sup\u003e involving the five steps of organising the data, sorting the data, understanding the data, interpretation and explanation of the data. Material we analyzed consists of climate, biodiversity, transport, pollution control, city development, and health and well-being strategies and plans of the selected urban areas. We collected the documents concluding February 2025. In cases where there were multiple versions of the same plan (e.g. biodiversity strategy) we included only the latest version. We had 7 to 14 documents per city (Supplementary Material, Table\u0026nbsp;1). Document length varied from 10 pages to 750 pages, with an average length of approximately ca. 100 pages. The utilized material reflects both what the cities have already implemented and plan to do in the near future. The strategic documents create the framework in which climate, biodiversity, and public health work is done in the cities, but some of these are also political documents that advertise the image of the city, implying that the actual actions may be more or less ambitious than the policy plans.\u003c/p\u003e \u003cp\u003eWe coded policy plans and targets in the CBH nexus using Microsoft Excel program. The material was coded separately for each city. The plans and targets were coded in four main categories representing the four overarching policy goals: mitigation, adaptation, biodiversity, and health and wellbeing. Each of these overarching goals are broken down in 5 to 7 possible strategies to achieve a given goal: 7 urban policy strategies to achieve climate mitigation, 5 strategies to achieve adaptation goals, 6 for biodiversity, and 5 urban governance strategies for health and well-being goals (see Table\u0026nbsp;1 for the full list). Every entry was coded to one or more of these mid-level policy goals (e.g. a plan for urban greenery (B3) including both temperature moderation (A2) and providing access to nature (H1)), spanning one or more of the overarching goals (in this example: biodiversity, climate adaptation, and health and well-being). Policy plans with double or triple synergies across the CBH nexus (e.g. climate-health; or biodiversity-health) were coded in CB, CH, BC, and CBH categories. Supplementary information coded includes: the source document introducing the policy, a text sample, specific quantitative targets of the policy (if available), proposed indicators (if available), and investment mechanisms (if available).\u003c/p\u003e \u003cp\u003eEvery entry is coded for the degree of change (from incremental, over reformistic, to transformative) according to the definitions below. Coding qualitative data involves a significant degree of judgement, even more so when evaluating progress toward multiple and potentially diverging environmental goals, making many entries not straightforward to code, especially those that were potentially transformational. We resolved these challenges by using the EU directives as benchmarks for evaluating whether the cities' goals and targets are transformative enough (for evaluation criteria across domains and the related EU \u0026amp; WHO directives see Supplementary Material, Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Furthermore, if an action contained at least some transformational objectives, it was coded as transformational.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003eDefining incremental, reformistic and transformative strategies\u003c/h2\u003e \u003cp\u003eTypical actions coded as incremental include various adjustments to maintain business as usual, with minor potential to achieve the given goal or without changing the structures and socio-economic patterns that contribute to the given problem\u003csup\u003e72\u003c/sup\u003e. In the context of climate mitigation goals this can mean improving energy efficiency of buildings or investing into renewables on a scale which is not significantly different from the normal pace of economic growth, including the efficiency improvements and energy changes it brings. Early warning signals or ordinary flood defenses are also in this category. When it comes to biodiversity, incremental change can be an increase in urban greenery through sporadic green roofs and walls, or voluntary campaigns for reducing environmental pollution. In terms of health and well-being, incremental change can be minor increases of access to nature or of walking and cycling lanes. Also, existence of nominally ambitious targets (e.g. carbon neutrality) without developed plans how to actually get there, is also coded as incremental (i.e. it improves urban governance only as much as it expresses the ambition, without satisfying other conditions required to make impactful changes). Awareness raising campaigns in all four domains relying on voluntary changes in the behavior of citizens of businesses are classified as incremental.\u003c/p\u003e \u003cp\u003eWe coded as reformistic change policies that make the current system more flexible, but retain the fundamental structures or functions of the system\u003csup\u003e73\u003c/sup\u003e. These are the plans that potentially can assist the desired goal, but need to be further expanded and complemented. For example if the combustion fuel to produce energy is changed or if the increase in green or recreational spaces does not outpace the population growth. Regulatory changes which mandate provision of green spaces in new developments or moderate industrial pollution are typically also in this category. Given our goals-oriented framework, in evaluating reformistic as well as other degrees of change a lot depended not just on the type but also on the scale at which a policy is planned.\u003c/p\u003e \u003cp\u003eFinally, transformation is broadly considered to be a fundamental change where the patterns, elements, and interrelations of the system change more comprehensively\u003csup\u003e74\u003c/sup\u003e. These processes of structural changes often happen through accumulation of actions\u003csup\u003e75\u003c/sup\u003e, including fundamental alterations in sense-making world views, political and power relations, social networks and ecosystems, physical infrastructure and technology. It can also involve rethinking the division between urban and nature, how the urban economy works, fundamental change in citizen lifestyles or how the city is governed. Following our goals-oriented approach, we complement the standard definition of transformation by including actions that facilitate achieving the relevant goal in the CBH nexus - making the definition of transformation ultimately practical. To an extent, evaluating transformation was possible only partially on the level of individual entries, and a more comprehensive assessment was possible only by systematically evaluating the progress of a city toward the overarching goals.\u003c/p\u003e \u003cp\u003eThere are three points to note about our analytical framework. First, according to our nested model of transformative change, the climate, biodiversity and health domains are interconnected with each other and individual policies often span goals across multiple domains, with different co-benefits, complicating the transformation assessment. In these cases, the assessment reflects the effectiveness of the policy to achieve its main goal. Transformation does not have to happen equally across all domains, but is sufficient that the change is fundamental for the main aim of the policy. Second, identifying change empirically is difficult\u003csup\u003e74\u003c/sup\u003e and a strict classification into categories such as those above can be arbitrary. Hence we consider the degrees of change more as a continuum of change, rather than a strict classification scheme. To complement these subtleties, we consider our qualitative analysis critical. Finally, we concentrate on the change advocated by the city government, while various degrees of change are possibly advocated, and are taking place outside of the formal policy sector, which is not captured in our sample.\u003c/p\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eData availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data that supports the findings of this study are available at https://osf.io/rqtyd .\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eM.S. led the conceptualization, study design, data collection, and drafting of the manuscript. T.W. and V.L. contributed to data collection and created the figures. S.J. contributed to the study design and methodology development. N.K. contributed to policy analysis, interpretation of results, and visualisation. T.M. contributed to the conceptual framing of urban transformations. C.R. contributed to articulating principles for advancing urban CBH nexus governance and to the theoretical framing of the urban CBH nexus governance. All authors contributed to writing, reviewing, and editing the manuscript, and approved the final version.\u003c/p\u003e\n\u003cp\u003eCorresponding author email: [email protected]\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics declarations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003evan der Heijden, J., Patterson ,James, Juhola ,Sirkku \u0026amp; and Wolfram, M. 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Adaptation and transformation. \u003cem\u003eClimatic Change \u003c/em\u003e\u003cstrong\u003e133\u003c/strong\u003e, 113\u0026ndash;127 (2015).\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"npj-urban-sustainability","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"npjurbansustain","sideBox":"Learn more about [npj Urban Sustainability](https://www.nature.com/npjurbansustain/)","snPcode":"42949","submissionUrl":"https://submission.springernature.com/new-submission/42949/3","title":"npj Urban Sustainability","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"NPJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"climate-biodiversity-health nexus, planetary health, sustainability transformations, urban governance, nature-based solutions, synergies, policy integration ","lastPublishedDoi":"10.21203/rs.3.rs-6944613/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6944613/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe critical nexus between biodiversity loss, climate change, and societal change is increasingly intertwined requiring coordinated action, especially in urban contexts. This study examines how urban governance operationalizes the climate\u0026ndash;biodiversity-health nexus in four European case areas through a goals-oriented framework informed by the Planetary Health approach. We conduct a qualitative analysis of urban policy documents to assess the degree of change and level of coordination across climate mitigation, adaptation, biodiversity, and health domains. While cities have employed transformative solutions like nature-based solutions (NBS), we consistently identify policy blindspots such as fragmented mid-level targets, sectoral silos, insufficient attention to indirect emissions, and reliance on soft governance tools. We conclude by offering actionable insights for transformative urban nexus governance: mainstream transformative metrics and indicators, create new institutional innovations, integrate multi-benefit NBS across sectors, expand governance toolkits to address trade-offs and co-create a culture of innovation, learning, co-creation and leadership.\u003c/p\u003e","manuscriptTitle":"Bright spots and actionable insights for urban governance of the climate–biodiversity–health nexus","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-07-03 08:21:32","doi":"10.21203/rs.3.rs-6944613/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-09-14T18:28:07+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-09-13T21:56:12+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-07-26T10:37:54+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"16209679664546441639428048623399893002","date":"2025-07-15T18:03:46+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"182589870833283272098254200161679206337","date":"2025-06-30T13:00:17+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-06-29T21:43:05+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-06-26T13:59:19+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-06-26T09:42:56+00:00","index":"","fulltext":""},{"type":"submitted","content":"npj Urban Sustainability","date":"2025-06-21T11:12:15+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"npj-urban-sustainability","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"npjurbansustain","sideBox":"Learn more about [npj Urban Sustainability](https://www.nature.com/npjurbansustain/)","snPcode":"42949","submissionUrl":"https://submission.springernature.com/new-submission/42949/3","title":"npj Urban Sustainability","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"NPJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"ffa857e6-9788-4e43-b7ca-91af0afc09e0","owner":[],"postedDate":"July 3rd, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":50797912,"name":"Earth and environmental sciences/Environmental social sciences/Climate change policy"},{"id":50797913,"name":"Earth and environmental sciences/Environmental social sciences"},{"id":50797914,"name":"Earth and environmental sciences/Environmental social sciences/Sustainability"}],"tags":[],"updatedAt":"2026-02-16T16:00:58+00:00","versionOfRecord":{"articleIdentity":"rs-6944613","link":"https://doi.org/10.1038/s42949-026-00345-w","journal":{"identity":"npj-urban-sustainability","isVorOnly":false,"title":"npj Urban Sustainability"},"publishedOn":"2026-02-09 15:58:05","publishedOnDateReadable":"February 9th, 2026"},"versionCreatedAt":"2025-07-03 08:21:32","video":"","vorDoi":"10.1038/s42949-026-00345-w","vorDoiUrl":"https://doi.org/10.1038/s42949-026-00345-w","workflowStages":[]},"version":"v1","identity":"rs-6944613","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6944613","identity":"rs-6944613","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}