Collaborative environmental governance: Achieving collective action in social-ecological systems

Nature-based and geo-engineering climate mitigation technologies: Public acceptance and security prospects

Climate change requires mitigation approaches, from nature-based to experimental geoengineering. We examined public attitudes toward six strategies-reforestation in previously forested areas, afforestation in new terrains, direct CO2 capture with underground storage, biomass energy with CO2 capture, stratospheric sulfate aerosols, and orbital mirrors-via a representative Czech survey (N = 3,007). Binary logistic regressions reveal how age, education, employment, and residence shape perceptions of efficacy, risks, and ethics. Results show strong favor for reforestation and afforestation due to ecological benefits and long-term promise; sulfate aerosols and orbital mirrors face skepticism. Surprisingly, participants with only primary education showed greater openness to geoengineering than university graduates. Older respondents favored biomass-based carbon capture but less so certain high-tech solutions. Our findings highlight the importance of policies aligned with diverse public views, ensuring both established and novel measures are harmonized into an effective climate mitigation strategy. These results indicate demographic contexts shape acceptance of climate interventions.

Ecosystem services modelling to analyse the isolation of protected areas from a social-ecological perspective

Biodiversity loss continues to increase globally despite conservation strategies such as the designation of protected areas and the implementation of environmental management practices. Land use changes often exacerbate the spatial isolation of protected areas, undermining their biodiversity conservation goals and the provision of ecosystem services. To address this issue, the present study investigates how a social-ecological approach, incorporating ecosystem services modelling, can address protected areas isolation and enhance habitat connectivity, using Egmont National Park in Aotearoa New Zealand as a case study. The analysis focuses on five ecosystem services including carbon sequestration, habitat quality, timber production, pasture production, and outdoor recreation. Findings highlight significant synergies and trade-offs, particularly between regulating services within the park and provisioning services in the surrounding grasslands, revealing critical social-ecological conflicts. In particular, the contrast between the indigenous forest within the park, which supports high habitat quality and carbon storage, and the surrounding grasslands, which are highly productive for pasture, underscores the challenges of balancing conservation goals with agricultural activities. This study develops social-ecological units to inform integrated environmental management strategies, aiming to reduce isolation, improve connectivity, and align biodiversity conservation with human well-being. These findings provide actionable insights for shifting trade-offs to synergies and supporting sustainable management practices.

The forest beyond the trees: A network perspective on governing co-production of nature's contributions to people

Nature's contributions to people (NCP) provided by forests are co-produced by an interplay of natural and anthropogenic capitals, including human, social, physical, and financial capital, which are influenced by various actors across multiple levels. Here, we assessed the co-production of four forest NCP (timber, habitat creation and maintenance, climate regulation, non-material NCP). We conducted social network analyses based on interviews with local forest actors to (i) understand which actors are most relevant for managing different anthropogenic capitals in NCP co-production and (ii) identify patterns of governing co-produced forest NCP via actor relationships. Our findings revealed three patterns: (1) governance of timber production via financial flows; (2) governance of knowledge and labour for climate regulation; and (3) governance for habitat management. Making actor-capital relationships tangible provides evidence to inform decision-making by tracing how specific actors favour certain capitals potentially influencing the sustainability of NCP co-production.

On Collaborative Governance: Building Consensus on Priorities to Manage Invasive Species Through Collective Action

Invasive forest pests can spread across large landscapes that include numerous land-use management jurisdictions. As such, forest pest invasions need to be addressed with collaborative efforts because a single entity is seldom able to respond to the full scope of the problem. A collaborative governance framework provides a collective decision-making process that allows diverse sets of actors who share an interest in a policy or management issue to work together towards mutually beneficial outcomes. Here, I apply a theoretical model of collaborative governance to understand the conditions in cooperative decision-making that led to a consensus on statewide priorities to control an important invasive pest in California, the Fusarium dieback invasive shothole borers (FD-ISHB) beetle-pathogen invasion. This provides (1) an empirical case study of collaborative governance in action throughout the stakeholder consensus building process and (2) interrogates that case study for theoretical contributions to the literature on collaborative governance, with special focus on invasive species management. Cohesive process outcomes were born out of effective principled engagement, participants' deep understanding and dedication to the system context, and the salient forces of leadership and interdependence baked in throughout the project. Ultimately, participants devoted their time and energy to a short but intensive planning process, resulting in more capacity for joint action, trust, interdependence, and a robust action plan that was quickly implemented.

Systems thinking and modelling to support transformative change: key lessons from inter-disciplinary analysis of socio-ecological systems in applied land systems research

The evolving 'permacrisis' of compounding environmental and social challenges calls for transformative approaches to understanding and intervening in socio-ecological systems. Approaches to support systems thinking and understanding can be vital to achieving this goal. However, applying such systems thinking is often challenging, and we need to better reflect on the pros and cons of different approaches for building systems understanding and informing changes. In this paper, we first identify key attributes of systems thinking approaches from literature. We then use these as a framework for comparing and evaluating seven different systems thinking approaches, selected on the basis of our experience in applying them in support of the management and governance of various types of land systems. The seven approaches are: agent-based modelling, Bayesian belief networks, causal loop modelling, spatial multicriteria analysis, societal metabolic analyses, social network mapping and quantitative story telling. This framework has allowed us to appraise and reflect on our own experiences to identify the respective strengths and weaknesses of these different methodologies. We note that some of the ability to inform change depends as much on the context within which specific tools are used as the particular features of the tools themselves. Based on our appraisal, we conclude by suggesting six key recommendations that should be followed by others seeking to commission and use systems approaches, in order to enable them to support transformative change. We hope this may be useful to those working with systems approaches, since there is an urgent need for analytic efforts that can inform and enable transformative change. We also reiterate the call for sustained funding for long-term, standards-based evaluation of systems thinking approaches with respect to whether their use can demonstrate instrumental impacts leading to the kind of transformation the IPCC has called for, i.e. fundamental system change that goes beyond capacity development impacts such as network-building.

Collaborative management of hydrological ecosystem services: a multilevel social network analysis of a Mexican watershed

Collaborative management of hydrological ecosystem services (HES) is crucial for their conservation and involves diverse stakeholders at three levels: environmental and land-use management (ELM), harvesting and physical access (HPA), and appropriation and appreciation (AA). This study analyzes collaborative networks within and between these levels in the Copalita-Huatulco watershed, Mexico, using a monoplex and multiplex social network approach to understand stakeholder interactions. Results indicate that the ELM and AA networks are diverse and polycentric, with NGOs occupying an influential role. In contrast, the HPA network is centralized and dominated by government stakeholders. From a multiplex perspective, non-local stakeholders, such as government agencies, have greater coordination potential, while locals, such as NGOs and communities, are multiplex knowledge brokers. The establishment of governance schemes should prioritize the promotion of stakeholders' diversity among actors, polycentricity, and empowered decision-making. Additionally, fostering stronger relationships and interconnectedness among networks is crucial to facilitating collaboration and adaptability in the HES management. This study contributes to the understanding of collaborative management of HES and offers recommendations to improve their effectiveness, sustainability, and resilience.

Evaluating urban climate resilience in the Yangtze River Delta urban agglomeration: A novel method integrating the DPSIR model and Sustainable Development Goals

The interplay between climate change and socio-economic activities has placed cities at the forefront of climate-related threats. Evaluating and enhancing urban climate resilience are widely regarded as effective strategies for mitigating and adapting to climate change. This study aims to develop a more logical, comprehensive, and replicable urban climate resilience assessment framework to accurately evaluate and enhance urban climate resilience, thereby supporting urban growth and development in climate change. Specifically, the study focused on the Yangtze River Delta urban agglomeration (YRDUA), a region with typical climate risks, using the driver-pressure-state-impact-response (DPSIR) model to construct an urban climate resilience assessment framework and selecting evaluation indicators based on the Sustainable Development Goals (SDGs), including a new index: government climate policy concern. Subsequently, spatial autocorrelation, geographically and temporally weighted regression model, the coupling and coordination degree model, and the super-SBM model were applied. This approach revealed the spatial and temporal evolution trends, driving factors, coupling coordination degree, and construction efficiency of urban climate resilience in the YRDUA from 2013 to 2021. The results show that: (1) Urban climate resilience levels exhibited significant regional disparities, with a mean resilience score of 0.256 and an average annual growth rate of 1.21%. (2) A notable spatial correlation was observed in urban climate resilience, with the radius of the High-High cluster area expanding, while the radius of the Low-Low cluster area contracted. (3) The key factors driving urban climate resilience included water and forest coverage areas, climate policy concern, and investment in municipal public facilities construction. The impact of these factors displayed notable spatial heterogeneity. (4) The coupling coordination degree between resilience subsystems increased by 7.96%, yet remained on the verge of imbalance. Additionally, the average technical efficiency and scale efficiency of urban climate resilience construction rose by 7.43% and 5.44%, respectively, though significant room for improvement remains. Our research advocated for re-examining urban climate resilience through the lens of causality and sustainable development, offering valuable insights for policymakers in China and international initiatives.

Exploring System Context Contributing to Emerging REDD+ Collaborative Governance Regime in Ghana: Stakeholders Perceptions at the National Level

Since its emergence in 2007, the global mechanism for Reducing Emissions from Deforestation and Degradation in developing countries (REDD+) has raised hopes of providing cost-effective solutions to climate change. However, the design and implementation of REDD+ projects in many developing countries, including Ghana, have faced complex governance challenges. In recent years, a collaborative governance approach has been increasingly recommended for effective REDD+ implementation, but the impact of the dynamics of developing countries' context on collaboration success remains unclear. Using Ghana's Cocoa Forest REDD+ Programme (GCFRP) as a case study, this paper aims to increase our understanding of how the dynamics of developing countries' context affect the drivers shaping the initiation of REDD+ collaborative regimes for transforming cocoa forest landscapes. Through qualitative content analysis of document reviews and semi-structured interviews with national program stakeholder groups, the results indicate that Ghana's dynamic context facilitates collaboration on REDD+ implementation when stakeholders feel uncertain about the future availability of forest resources and recognize their interdependence in responding to such issues. Additionally, the findings of the study indicate that strong political will for change, along with strategic windows of opportunity created by REDD+ funding mechanisms, play a vital role in shaping consequential incentives essential for aligning stakeholder interests and fostering cross-sector leadership for initiating the REDD+ collaborative governance regime. While the applicability and limitations of the IFCG framework are discussed, further in-depth studies at project levels are crucial to understanding local stakeholders' perspectives on the key elements necessary for successful collaboration.

Cryptic species conservation: a review

Cryptic species are groups of two or more taxa that were previously classified as single nominal species. Being almost morphologically indistinguishable, cryptic species have historically been hard to detect. Only through modern morphometric, genetic, and molecular analyses has the hidden biodiversity of cryptic species complexes been revealed. Cryptic diversity is now widely acknowledged, but unlike more recognisable, charismatic species, scientists face additional challenges when studying cryptic taxa and protecting their wild populations. Demographical and ecological data are vital to facilitate and inform successful conservation actions, particularly at the individual species level, yet this information is lacking for many cryptic species due to their recent taxonomic description and lack of research attention. The first part of this article summarises cryptic speciation and diversity, and explores the numerous barriers and considerations that conservation biologists must navigate to detect, study and manage cryptic species populations effectively. The second part of the article seeks to address how we can overcome the challenges associated with efficiently and non-invasively detecting cryptic species in-situ, and filling vital knowledge gaps that are currently inhibiting applied conservation. The final section discusses future directions, and suggests that large-scale, holistic, and collaborative approaches that build upon successful existing applications will be vital for cryptic species conservation. This article also acknowledges that sufficient data to implement effective species-specific conservation will be difficult to attain for many cryptic animals, and protected area networks will be vital for their conservation in the short term.

Social Influence in Social-Ecological Systems: Collaborative Capacity and Inter-Organizational Networks in the U.S. Sagebrush

Collaborative governance has become a prominent, if not dominant, framework for thinking about multi-scalar and cross-jurisdictional environmental management. The literature broadly and consistently suggests that collaborative capacity and inter-organizational networks provide the institutional framework for addressing social-ecological system challenges. Surprisingly little scholarship addresses processes of social influence (or contagion) in social-ecological systems writ large, or more specifically as it relates to collaborative capacity. In this study, we consider the relationship between network position and structure and "collaborative capacity". We use a linear network autocorrelation model to establish a quantifiable, statistical relationship between an organizational-level outcome (collaborative capacity) for organizations that are relationally connected in a network addressing conservation and management issues in the U.S. sagebrush biome. We test three general hypotheses: (1) that social position - operationalized as network centrality - is related to collaborative capacity, (2) that subgroup or community structure - operationalized as modularity - is related to collaborative capacity, and (3) that there is a social contagion effect of collaborative capacity. Our results identify a positive relationship between collaborative capacity and organizations in positions of brokerage as well as evidence of a "collaborative capacity" contagion effect. This work contributes to our understanding of the role of bridging organizations and networks for large-scale environmental management.

Exploring the interdependencies of ecosystem services and social-ecological factors on the Loess Plateau through network analysis

Ecosystem services arise from and are shaped by interactions within social-ecological systems. While network approaches hold promise for conceptualizing and managing ecosystem services, their practical application remains underexplored. This study introduces a novel application of the partial correlation network approach to ecosystem service research, using China's Loess Plateau as a case study to analyze ecosystem services and social-ecological factors within a network framework. Our results reveal significant improvements in key ecosystem services, including soil conservation, carbon sequestration, and food provision, from 2000 to 2020, alongside a non-significant declining trend in water provision. The network analysis uncovers complex interdependencies among ecological restoration activities, landscape pattern changes, socio-ecological processes, and ecosystem services on the Loess Plateau, identifying key nodes and connections within the network. The plant productivity trend exhibits the highest node strength, indicating its pivotal role in driving substantial changes across the entire network configuration. This study highlights the potential of the partial correlation network approach for a comprehensive understanding of the interdependencies between ecosystem services and social-ecological factors, providing valuable insights to inform ecosystem service management and policy-making.

Collaboration among governments, agribusinesses, and rural households for improving the effectiveness of conservation tillage technology adoption

Conservation tillage technology adoption has contributed significantly to sustainable agricultural development, but its effectiveness has been hindered by conflicts among governments, agribusinesses, and rural households. The collaboration among governments, agribusinesses, and rural households (GAR collaboration) is a significant institutional innovation for advancing green agricultural development. This study constructs a theoretical framework incorporating environmental characteristics, collaboration capacity, and the effectiveness of green agricultural technology adoption to analyze the impact and heterogeneity effects of GAR collaboration. Using village-level survey data from Shaanxi, Ningxia, and Gansu Provinces, with a focus on conservation tillage technology, this study explores the mechanisms by which GAR collaboration influences green technology adoption. The findings reveal that: (1) GAR collaboration mechanisms are crucial for improving the effectiveness of green agricultural technology adoption; (2) Environmental characteristics directly affect the adoption effectiveness and indirectly influence it through collaboration capacity; (3) Village size has a heterogeneous effect on the impact of GAR collaboration, being more pronounced in smaller villages; and (4) GAR collaboration primarily enhances the adoption effectiveness by reducing transaction costs and defection risks. These insights contribute to the theoretical foundations of collaborative approaches in green agriculture and provide practical solutions to improve technology adoption.

Untangling the network structure for marine litter monitoring governance

Global marine litter monitoring initiatives present information and integration gaps that can be addressed through multi-sectoral collaboration. Social Network Analysis (SNA) helps identify stakeholder roles in accessing, sharing, bridging, and coordinating data for effective monitoring. This study established a theoretical basis and an analytical-operational approach for structuring effective networks for marine litter monitoring. Our research examined a network of 105 stakeholders engaged in a subnational governance arrangement for marine litter monitoring in São Paulo, Brazil. We found that the network allows access to and information-sharing among every actor (i.e., it is non-fragmented), even from different sectors (i.e., it is heterophilic). Although connections are still scarce (i.e., low-density) and decentralized (i.e., low-centralization), bridging and coordinating information relied on central and intermediary actors. SNA findings at the actor level (i.e., degree and betweenness centrality) highlighted the most suitable institutions for these roles, linking otherwise disconnected data producers and addressing critical gaps in data reporting. Our findings suggest that coordinated, centralized network structures may be more effective than denser, highly collaborative structures in the context of litter monitoring governance. These findings contribute to the development of effective, networked actions for marine litter monitoring across diverse scales and contexts, advancing the implementation of Sustainable Development Goal 14, the forthcoming treaty on plastic pollution, and other relevant monitoring initiatives.

Promotion of cooperation in a structured population with environmental feedbacks

Cooperation is a representative altruistic behavior in which individuals contribute public goods to benefit their neighborhoods and even larger communities in social networks. The defective behavior is more likely to bring higher payoffs than the cooperative behavior, which makes the cooperative behavior hard to maintain and sustain. Many mechanisms were proposed to promote cooperation within a social dilemma, in which some recent studies introduced the impact of dynamically changing environments on players' payoffs and strategies in social-ecological systems, and evolutionary-ecological systems. However, degree heterogeneity, an important structural property of many real-world complex networks such as social networks, academic collaboration networks, and communication networks, is rarely explored and studied in such eco-evolutionary games. In this research, we propose a Public Goods Game model on social networks with environmental feedback and analyze how the environmental factor and network structure affect the evolution of cooperation. It is found that as the initial environmental factors and the cooperation-enhancement defection-degradation ratio increase, the steady cooperation level of the social network significantly increases, and the dynamic environment will eventually evolve into a high-return environment; On the other hand, even if the initial environmental benefit coefficient is high, when the cooperation-enhancement defection-degradation ratio is less than a threshold, the dynamic environment will gradually degrade into a low-return environment. The steady cooperation level of the social network first gradually increases as the network structure becomes more heterogeneous, but it will decrease once the heterogeneity of the social network exceeds a certain threshold.

The Importance of Capacity-Building in Watershed Groups: Lessons from the Hudson River Watershed, USA

Municipalities face challenges meeting environmental protection and conservation goals due to a lack of resources, capacity, and political will. As a result, grassroots environmental organizations often emerge to help meet these challenges by filling gaps in governmental operation and structure. At the watershed scale, environmental organizations and groups are critical for effective watershed governance, often helping with collaboration as well as providing municipalities with additional support and resources. Despite the vital role environmental organizations and groups can play, they continue to face challenges such as insufficient resources, inconsistent leadership, and lack of organizational structure, thus limiting the contributions they can deliver. In this manuscript, we present case study research on watershed groups exploring their capacity to meet their mission and goals. Drawing from a needs assessment study conducted in the Hudson River watershed in 2019-2021, we found that while watershed groups are generally in need of technical resources, participation, and funding, our research suggests capacity (such as internal structure, strategic planning, and leadership) is most important for successful and sustainable groups. Therefore, we argue that support for capacity is more likely to help sustain groups and their long-term beneficial impact. To make this argument we present qualitative interview and focus group data to articulate watershed group goals, challenges, and needs, with an emphasis on capacity-related themes that emerged around expertise, leadership, structure, and planning. We then conclude with recommendations that can be applied to other watershed groups in the United States, and likely beyond.

The impact of latent policy synergy between cities on air pollution: An empirical analysis from China's 12,764 air policies

Policy synergy plays a crucial role in managing regional air pollution. However, the current process of formulating collaborative policies often focuses too heavily on achieving optimal emission reduction outcomes, while neglecting the execution costs at the local level. This not only leads to a lack of coordination between existing governance measures and new policies but may also result in inefficient policy implementation and the wastage of administrative resources. To address this issue, we have conducted a thorough analysis of the latent interconnections in local governance and explored the possibility of formulating collaborative policies based on latent policy synergies. Utilizing a dataset of 12,764 policy documents from China spanning from 2000 to 2023, we employed unsupervised learning techniques and panel regression models to investigate the impacts of latent policy synergies among local governments. Our findings reveal that local governments initially relied on rigid command-and-control strategies to address air pollution, which were later enhanced with economic incentives like emissions trading and subsidies, thus broadening the scope of policy tools and improving compliance flexibility. Subsequently, as comprehensive monitoring networks were established, enabling real-time data acquisition and more accurate pollution assessments, the focus of policy efforts shifted towards a more integrated approach to regional air pollution management. This similar evolution facilitated latent policy synergy among local governments, leading to significant reductions in air pollution emissions. Notably, regions such as the Central Plains and coastal cities, characterized by their dense industrial activity and high energy consumption, have shown remarkable potential for collaborative efforts, achieving greater pollution control efficiencies. This study provides a valuable reference for the coordinated governance of air pollution policies.

A stringent failure: Regulators do not use available tools to protect aquatic ecosystems from clearcut forestry impacts in New Zealand

Effective regulation of land-use activities in steepland areas is crucial to protect downstream ecologies and human life as intense rainfall disturbances become more frequent globally. In Aotearoa New Zealand extensive synchronous clear-cutting of Pinus radiata monocultures on steep convergent landforms, and associated earthworks, causes ongoing accelerated erosion, excessive sedimentation, and debris-laden landslides after adverse weather events. This study examines the implementation of national forestry regulations established in 2018, which also enable regional councils to create more stringent rules to protect aquatic ecosystems. All sixteen councils were surveyed in 2021 and 2022 for stringency in planning provisions; and four regions seriously affected by Cyclone Gabrielle in 2023 were resurveyed in 2024. The cyclone caused loss of human life and calamitous damage to housing, infrastructure, and productive land uses from floods exacerbated by clearcut logging debris. All councils had administratively adopted the national regulations into their existing freshwater and coastal resource management plans. Twelve councils retained existing rules that conflicted with the regulations, but these rules do not protect all regionally significant aquatic ecosystems nor minimise landslide risks. No council, except Gisborne, had instigated the expensive and lengthy statutory resource management plan change process, nor taken a 'strategic and principled' approach to develop more stringent regulations, such as tougher restrictions on clear-cutting, earthworks, and replanting on steep erosion-prone convergent landforms to protect aquatic ecosystems and vulnerable communities. The government did tighten the management of logging debris after the cyclone, but the national regulations remain ineffective in addressing clear-cut practices maladaptive to intense rainfall and continue to permit replanting on convergent landforms. The regulations need urgent amendment to require councils to develop and implement a strategic and principled approach to stringency to better protect aquatic ecosystems, human life, economic livelihoods, and public infrastructure. Water quality monitoring is also currently inadequate, as no council systematically monitors the effects of forestry activities on sedimentation rates, which inhibits the ability to compare across and between regions. Foresters are not required to monitor water quality, which also stymies assessments of compliance and policy effectiveness. Councils regularly monitor rivers, lakes, and estuaries, but rarely the effects of individual land uses. This means that sediment or other contaminants cannot be parsed to different land use activities, undermining attempts to set catchment limits. It can also take decades at current monitoring levels to defensibly show any water quality improvements after changes to land use regulations. The current environmental limits approach of setting individual water quality attribute targets is highly unlikely to drive changes to maladaptive and ecologically degrading land uses. A new environmental management approach is needed that prohibits or effectively constrains hazardous and adverse activities.

Rangers on the frontline of wildlife monitoring: a case study on African lions in Uganda's Nile Delta

A study on African lions in Uganda’s Nile Delta shows wildlife tourism rangers, an often-forgotten group in the scientific process, deliver strong density estimates. The study also shows infrared camera traps are weak at detecting lions.

Assessing drivers of sustained engagement in collaborative governance arrangements

The formal engagement of diverse stakeholder groups in policy design and implementation has become a mainstay governance strategy. While much has been learned about collaborative governance arrangements in terms of their structure, processes, and participant dynamics, one particularly salient dynamic has been relatively underexplored: the factors contributing to sustained participation in collaborative venues. Public administration and policy have developed a variety of conceptual theories which draw attention to interpersonal interactions and the ability of stakeholders to garner political wins as important contributing factors to sustained participation. In this article, we test four theoretically rooted hypotheses to investigate stakeholder attendance in the collaborative governance case of an environmental justice council. We analyze council meeting minute data using computational text analysis tools and a Stochastic Actor-Oriented Model to assess: (1) conflict and concord, measured in terms of repeated (dis)agreement with others and (2) interest advancement, or the extent to which a stakeholder makes positive, neutral, and negative comments toward topics which become the council’s annual objectives in relation to an individual’s attendance. Our interpersonal interaction results show that increased positive relationships are associated with increased attendance, and increased negative relationships are associated with decreased attendance, but, for both cases, only when interactions are repeated and not one-off. Our interest advancement results show: (1) an increase in supported annual objectives is associated with decreases in attendance for an individual stakeholder, but (2) increased oppositional and neutral annual topics are associated with a greater likelihood of attendance. This article contributes to existing scholarship on collaborative governance by offering additional insights into individual factors associated with sustained engagement in the collaborative venue. Furthermore, the article offers a generalizable methodological approach for analyzing these dynamics drawing on computational text analysis of meeting minute data.

Government-enterprise green collaborative governance and urban carbon emission reduction: Empirical evidence from green PPP programs

The reliance solely on the government or enterprises to promote climate governance is contingent upon the vested interests of economic entities and the regulatory bodies' efficiency in governance. Can the model of government-enterprise green collaborative governance evolve into a long-term mechanism for addressing the climate crisis and achieving the goals of sustainable development? By crawling data on public-private partnerships (PPP), employing ChatGPT to identify green PPP projects, and building a generalized difference-in-differences framework based on the Guidance on Building a Green Financial System issued in 2016, this present study investigates whether the involvement of private capital in government-led environmental and climate governance can effectively facilitate government-enterprise green collaborative governance, thereby mitigating urban carbon emissions. The study finds government-enterprise green collaborative governance can significantly reduce urban carbon emissions. The conclusion remains valid even after several rounds of robustness tests, including removing the influence of pertinent climate policies, adjusting the settings of independent and dependent variables, and removing self-selection issues. Heterogeneity tests show, on the first hand, the carbon emission reduction effect of government-enterprise green collaborative governance differs due to the differences in the characteristics of green PPP(Pubic-private partnership) projects such as project return mechanism, project investment volume, and project cooperation term; on the other hand, the carbon emission reduction effect also shows heterogeneity with various urban characteristics such as geographical location, city type and city size. Mechanism tests indicate government-enterprise green collaborative governance affects urban carbon emissions mainly through structural effects, technological effects and co-investment effects. This paper offers a valuable framework for effectively promoting environmental and climate co-governance between governmental bodies and enterprises, while enhancing the market's role in resource benefit allocation within climate governance to mitigate the risks associated with climate change.

Neighbourhood benthic configuration reveals hidden co-occurrence social diversity

Ecological interactions among benthic communities are crucial for shaping marine ecosystems. Understanding these interactions is essential for predicting how ecosystems will respond to environmental changes, invasive species, and conservation management. However, determining the prevalence of species interactions at the community scale is challenging. To overcome this challenge, we employ tools from social network analysis, specifically exponential random graph modelling (ERGM). Our approach explores the relationships among animal and plant organisms within their neighbourhoods. Inspired by companion planting in agriculture, we use spatiotemporal co-occurrence as a measure of mixed species interaction. In other words, the variety of community interactions based on co-occurrence defines what we call 'co-occurrence social diversity'. Our objective is to use ERGM to quantify the proportion of interactions at both the simple paired level and the more complex triangle level, enabling us to measure and compare co-occurrence social diversity. Applying our approach to the Spanish coastal zone across eight sites, five depths, and sunlit/shaded aspects, we discover that 80% of sessile communities, consisting of over a hundred species, exhibit co-occurrence social diversity, with 5% of species consistently forming associations with other species. These organism-level interactions probably have a significant impact on the overall character of the site. This article is part of the theme issue 'Connected interactions: enriching food web research by spatial and social interactions'.

Free-Riding in Plant Health: A Social-Ecological Systems Approach to Collective Action

Plant disease epidemics often transcend land management boundaries, creating a collective-action problem where a group must cooperate in a common effort to maximize individual and group benefits. Drawing upon the social-ecological systems framework and associated design principles, we review variables of resource systems, resource units, actors, and governance systems relevant to collective action in plant health. We identify a need to better characterize how attributes of epidemics determine the usefulness of collective management, what influences actors' decisions to participate, what governance systems fit different plant health threats, and how these subsystems interact to lead to plant health outcomes. We emphasize that there is not a single governance structure that ensures collective action but rather a continuum of structures that depend on the key system variables identified. An integrated social-ecological systems approach to collective action in plant health should enable institutional designs to better fit specific plant health challenges.

Stability versus flexibility in projectified science–policy context: what is the role of science advisors?

Science–policy interaction is frequently organized through projects, lauded as flexible and focused administrative solutions for policy learning. However, there is a risk of stifling projects with overly rigid interfaces or, controversially, losing project results amidst the cracks of inter- and intra-organizational cleavages when interfaces are excessively flexible. This article examines how science advisors in Estonian ministries contributed to resolving this controversy through an in-depth case study of an agenda-setting bioeconomy project. The results suggest that the potential of science advisors to provide necessary flexibility is contingent on their position relative to bureaucratic hierarchies and boundary objects.

Development and analyses of stakeholder driven conceptual models to support the implementation of ecosystem-based fisheries management in the U.S. Caribbean

Fisheries management agencies in the U.S. Caribbean are currently taking steps into transitioning from a single species approach to one that includes Ecosystem Based Fisheries Management (EBFM) considerations. In this study, we developed and analyzed stakeholder-driven conceptual models with seven different stakeholder groups in Puerto Rico and the US Virgin Islands to assess and compare their perceptions of the fishery ecosystem. Conceptual models were developed for each stakeholder group during 29 separate workshops involving a total of 236 participants representing Commercial Fishers, Managers, Academics, Local Businesses, Environmental NGOs, and the Caribbean Fishery Management Council (CFMC) District Advisory Panels (DAPs) and Scientific and Statistical Committee (SSC). Non-Metric Multidimensional Scaling (nMDS) and two-mode social network analysis were used to investigate differences and similarities between stakeholder groups as well as to identify priority ecosystem elements and threats. Results show important variations between stakeholders and islands in terms of their perceived importance of ecosystem components and relationships, which supports the need for collaborative approaches and co-production of knowledge in the United States (U.S.) Caribbean region. Despite this variation, important areas of common concern among stakeholders were identified such as: habitat integrity (e.g., coral reefs), water quality, and influence of recreational fisheries and tourism on marine ecosystems. Findings of this study support the use of stakeholder-driven conceptual models as effective tools to guide decision-making, aid prioritization of data collection, and increase collaboration and cooperation among stakeholders in the context of fisheries management.

Transboundary cooperation in Arctic climate change governance under geopolitical tensions

Political conflicts or geopolitical tensions can create uncertainty in addressing climate change and environmental management in the Arctic. Dissecting how actors interact with each other and form networks is important for understanding ecological and environmental management challenges during geopolitical tensions, as well as promoting better governance. We construct transboundary networks for Arctic climate change governance (ACCG) from 2013 to 2021 based on the Global Database of Events, Language, and Tone (GDELT). Further, we used network descriptive statistical analysis and Temporal Exponential Random Graph Models (TERGM) to explore the structure of ACCG networks and the key factors influencing cooperation formation. The findings suggest that the overall cooperation density of the ACCG is low, and the dominant position of core actors is continuously strengthening. Non-state actors are less likely to be seen as partners and their participation depends largely on cooperation with states. The results also show that actors with similar stances and problem exposure are more likely to cooperate, but those exposed to high latitudes often choose not to cooperate; first-comers are more likely to perceive as cooperating yet they are inclined to establish internal cooperation. Additionally, two geographically proximate actors are more likely to cooperate. This indicates that under geopolitical tensions, the ACCG faces challenges not only due to the limited capacity of non-state actors to perform transboundary functions but also because the cooperation mechanisms are influenced by regional political logic. Accordingly, we further suggest policy recommendations from developing binding international frameworks to guide transboundary cooperation, enhancing cooperation among non-state actors, and ensuring the representativeness and fairness of non-Arctic actors' participation. This research provides insights into transboundary environmental management under political tensions, while also offering new pathways for analysing large-scale environmental governance structures.

Attributes of preemptive conservation efforts for species precluded from listing under the U.S. Endangered Species Act

Preemptive conservation efforts to reduce threats have been credited with precluding the need to list some imperiled species under the U.S. Endangered Species Act (ESA). Such efforts can result in outcomes where species are conserved and regulatory costs associated with ESA listing are avoided. Yet, the extent and type of conservation effort involved in achieving preclusion from listing are not well understood. We quantified the attributes of conservation efforts identified as important for 43 species whose preclusion from listing was attributed to conservation efforts, as described in U.S. Federal Register documents that report the decisions not to list. We considered 2 features of preemptive conservation: effort applied (measured as the number of conservation initiatives) and number of conservation partners involved. We also quantified the type and location of conservation actions. We found a mean of 4.3 initiatives (range 1-22) and 8.2 partners (range 1-31) documented per precluded species; both measures of conservation effort were significantly and positively associated with the species' range area and the proportion of private land across its range. The number of initiatives was also positively related to the number of threats affecting a species. Locations of conservation actions varied; more species had actions on public land than on private land (p = 0.003). Numbers of species with restorative actions (e.g., invasive species control) were similar to numbers with prohibitive actions. Our findings highlight relationships between species' context and preemptive conservation activities, providing a first cross-species analysis of conservation efforts for species that were precluded from listing under the ESA due to conservation.

Inclusive Environmental Decision-making in a Developing Nation: Insights from the Ogoni Remediation Project, Niger Delta, Nigeria

Greater involvement of women is globally believed to enhance environmental management outcomes. Despite being disproportionately affected by environmental degradation primarily caused by oil spills in the Niger Delta region of Nigeria, women in the region are often excluded in environmental decision-making processes. Women involved in farming and fishing face increased vulnerability to contaminated land, food insecurity and conflicts driven by environmental degradation. Using a mixed approach, women, lawmakers, policymakers, regulators, civil society organizations, environmental management practitioners, and government agents responsible for environmental remediation were engaged through interviews, focus group discussions and questionnaires to examine women's inclusion in environmental decision-making and governance in the Ogoni contaminated land remediation project in the Niger Delta region of Nigeria. The results indicate that lack of trust and confidence in drivers of the environmental decision-making process could affect women's participation and involvement in environmental management. Although cultural beliefs and practices impede the participation of women in the region, their actual participation does not independently translate into inclusion in environmental decision-making due to limited capacity, confidence and trust in the process. Creating platforms for capacity building, developing gender policy, adapting appropriate communication strategies, initiating women networks and strengthening social cohesion could enhance women involvement in environmental decision-making in regions with similar cultural context to the Niger Delta region.

Perceived Status Of Ecosystem Services Emanating From A Forest Reserve: Evidence From Atewa Range Forest Reserve In Ghana

Forest ecosystem services play an integral part in the realization of global sustainable development goals due to their potential contribution to climate change mitigation and forest-based livelihoods in marginalized rural parts of the world. The Atewa Forest Range Reserve has been recognized to support forest-based livelihoods in adjacent communities and even urban areas of Ghana. While this contribution is acknowledged, information on the current status of the reserve's ecosystem services which are under serious threats from human-induced activities, remains fragmented. Therefore, through a household survey of 150 respondents complemented by key informant interviews (n = 9), this research assessed the awareness and perceptions of people on the current status of the Atewa Forest Range Reserve and its ecosystem services as well as the major drivers of change that seem to threaten the provision of these ecosystem services. Our results point to provisioning services as the most widely utilized ecosystem service, leading to their significant decline with the potential to affect the livelihoods of the local populations. Respondents' awareness and the relative importance they ascribe to the reserve's ecosystem services reinforced their appreciation for these services and interest in their sustainable management. Our results suggest the need for understanding local perceptions of ecosystem services to guide the prioritization of management decisions for balancing both utilization and conservation goals. A co-management approach that fosters the strategic inclusion of local communities in decision-making regarding the forest reserve could contribute to collaborative relationships and further increase positive perceptions of locals to preserve the reserve's ecological functions.

Stakeholder Analysis as a strategic tool in framing collaborative governance arenas for marine litter monitoring

Monitoring and assessment of marine litter requires multi-stakeholder involvement at national and subnational levels. Collaborative governance approaches are important, but often fail without adequate effort towards identifying and engaging stakeholders with appropriate profiles for the issue at stake. Stakeholder Analysis (SA) is increasingly used to ensure efficient governance arrangements. Our hypothesis is that SA contributes to collaborative governance processes for marine litter policies. We explored a pioneer participatory process in Brazil, where SA was applied to identify, categorize, and prioritize stakeholders, and analyze their power and interest, for the Strategic Plan for Monitoring and Assessing Marine Litter in the state of São Paulo. A top-down/bottom-up approach revealed that snowball sampling complemented the stakeholder assemblage identified by the consultation of experts. Prioritization of data-related stakeholders streamlined the participatory process. The interest-power matrix evaluated stakeholders' influences, guiding specific engagement strategies. We highlight the significance of SA in collaborative governance and mobilizing key stakeholders for effective marine litter monitoring initiatives, contributing to the global agenda to combat marine pollution.

More is better? Stakeholder participation in regulatory rule-setting towards green transition

Stakeholder participation and interactions in collaborative environmental policymaking are complex. We explore how stakeholder participation in rule-drafting and public comments lead to high-quality voluntary standards to promote green transition from a configurational perspective. Applying a fuzzy-set qualitative comparative analysis to China's 78 Industrial Cleaner Production Standards, we identify three paths resulting in superior standards. While using third-party experts is necessary in all paths, two paths emphasize the central role of public research institutes and the substitutive relationship between the participation of regulated firms and industry associations in the rule-drafting stage, especially in highly regulated industries. The third path emphasizes the importance of broad public comments when stakeholder participation in rule-drafting is insufficient, especially in lightly regulated industries. Our work enriches the theory of environmental regulation and collaborative governance, which is also instructive for governments designing regulatory standards to promote sustainable transformation.

Decoupling evolution of economic activity and carbon transfer in China: A multi-level analysis from network perspective

Economic activities among multiple regions are always accompanied by carbon transfers. Analyzing coupling characteristics of economic activities and carbon transfer linkages based on the supply-demand relationships, can further reveal the networked structures of the multiregional interactions and common development trend of various industries, shedding light on carbon emission governance and high-quality development. This study advances novel coupling network models at the regional and industrial levels, and empirically analyzes the coupling characteristics in China based on the input-output data in 2012, 2015, and 2017. The findings reveal a noticeable decoupling process of economic activities and carbon transfers, but with distinct characteristics at the regional and industrial levels. The widening differences in coupling among provinces indicate increasing regional disparities. The decoupling process at the industrial level is primarily driven by the decreased connectivity in networked carbon transfers, instead of economic activities, reflecting the significant variations of industries' low-carbon development. The carbon decoupling process is notably more pronounced in supply-demand chains associated with export as the final use, compared to those linked with capital formation and final consumption. Analysis of coupling characteristics and the identification of decoupling evolution process enhance our understanding of the relationship between economic activities and carbon transfer, and may provide valuable insights for prioritizing actions and achieving efficient carbon emission reduction.

Leading the charge: A qualitative case-study of leadership conditions in collaborative environmental governance structures

Collaborative governance structures are increasingly common among natural resource managers. While studies have assessed the conditions under which collaborative action occurs, little emphasis has been placed on the role leadership may play in joint-jurisdictional systems. Management of species under the Endangered Species Act offers an opportunity to assess the collaboration of federal, state, and tribal resource agencies. The Gulf of Maine Distinct Population Segment of Atlantic salmon (Salmo salar) was managed under a structure called the Atlantic Salmon Recovery Framework (ASRF) from 2011 to 2019. Using the ASRF as a case study, we examined the influence of leadership approaches on perceived program efficacy, member buy-in, and experience through semi-structured interviews. Participant reflections revealed three major leadership themes that participants found inadequate: (1) shared goals, (2) transparency, and (3) trust. Collaborative approaches that foster these leadership conditions may increase adaptive capacity and the likelihood of sustained success in this, and other, environmental governance structures.

Eco-civilization: A complementary pathway rooted in theory and practice for global sustainable development

Eco-civilization, as a civilizational discourse led by China, implies the next stage of civilization after industrial civilization, the essence of which is to respect, conform to, and protect nature. Although the international community is paying more attention to eco-civilization, the existing literature still lacks a systematic discussion of which theories and practices underpin the construction of eco-civilization. Due to the ambiguity of eco-civilization, some even criticize it as being a form of purely partisan politics in China. By systematically reviewing its theoretical pillars, practical actions, and major achievements, this perspective paper argues that China's eco-civilization is not a partisan politics, but rather a legitimate, imperative pathway to global sustainable development rooted in complementary theory and practice, i.e., theories guide practices, and practices enrich theories. We highlight that the theoretical basis and practical actions of eco-civilization constitute a continual improvement process that permits diverse viewpoints and understanding, and any action exploring how to achieve a harmonious coexistence between humans and nature is consistent with the values of eco-civilization.

Is air pollution joint prevention and control effective in China-evidence from "Air Pollution Prevention and Control Action Plan"

This paper examined the effect of air pollution joint prevention and control on pollution emissions in China. Specifically, based on the panel data of 290 cities from 2007 to 2021, taking the implementation of the "Air Pollution Prevention and Control Action Plan" as a natural experiment, the difference-in-difference-in-difference (DDD) model was used to explore the effect of air pollution joint prevention and control on haze pollution. Results show that air pollution joint prevention has a significant impact on pollutant emissions either as a whole or as a single pollutant. In terms of individual urban agglomeration, whether the Yangtze River Delta or the Pearl River Delta urban agglomerations, the air pollution joint prevention and control policy has a significant impact not only on the overall reduction of pollutant emissions but also on the reduction of single PM2.5 or industrial sulfur dioxide emissions alone. Environmental regulations have also achieved the effect of haze control in general and have a significant impact on the reduction of PM2.5 or industrial sulfur dioxide emissions. Environmental regulations also significantly reduced PM2.5 emissions in these three urban agglomerations. These findings provide a scientific basis and essential reference for understanding the implementation effect of regional joint prevention and control policies comprehensively and objectively.

Factors promoting hunting groups' sustainable harvest of moose in a co-management system

Collaboration between and within management levels and involvement of local communities (co-management) increases sustainable management of natural resources. In Finland, moose (Alces alces) are harvested by hunting groups within a co-management system, providing meat and social benefits. We computed the 14-year change in moose harvest (2007-2020) for 4320 hunting groups. Moose harvest declined on average 1.1% per year, but with substantial variation in moose harvest changes between the hunting groups. We extracted information describing the collaboration between the hunting groups, their democratic status as well as leader dynamics, and the year of establishment. A hunting group's moose harvest was more stable (i.e. declined less) when the hunting group was (1) established a longer time ago; (2), had more changes in leadership over time, but did not depend on collaboration with other local hunting groups (in terms of jointly holding moose hunting licenses), whether the hunting group was a registered society (presumed to be more democratic than a non-registered one) or had consecutive leaders that shared a surname (presumed to be related). We conclude that encouraging resource users' early establishment in groups and groups' long-term persistence and promoting democratic leadership roles improves stable benefits from a natural resource in a co-management system.

A multilevel social-ecological network approach for reconciling coastal saltmarsh conservation and development

In a large-scale region, governance for connectivity in an ecological system often conflicts with management boundaries, causing inefficiencies. Collaboration among management organizations in different areas can help overcome this problem. However, few studies quantified the collaborations' practical relationship with connectivity, considering that some potentially connected paths are easy to neglect by managers. In this paper, collaborations among government agencies in project application process were analyzed, and a multilevel social-ecological network analysis (SENA) approach was developed to identify the collaboration's effect on genetically connected coastal areas. The network framework and methods were shown in a case of coastal saltmarsh conservation and development in the Yellow River Delta, China. Collaboration patterns in conservation and development networks were analyzed and compared among local, subregional, and regional government agencies working in genetically connected coastal areas. Project information flow, reflecting communication frequency and decision-making chances among government agencies was quantified and correlated with ecological connectivity to inform governance effects. Results showed areas with the potential to realize social-ecological alignment, where collaborative networks were measured by network density (percentage of connected network edges). The current reveals that development has more significant potential than conservation at most levels to overcome the misalignment of the social-ecological system, also known as scale mismatch. Empirical evidence also showed a correlation between communication capacity in development networks and improved ecological conditions. The multilevel SENA advanced in this paper can be used for natural resource management when connectivity plays a major role.

Diving below the surface: A framework for arctic health research to support thriving communities

AIMS

Historically, health research in the Arctic has focused on documenting ill-health using a narrow set of deficit-oriented epidemiologic indicators (i.e., prevalence of disease and mortality rates). While useful, this type of research does not adequately capture the breadth and complexities of community health and well-being, and fails to highlight solutions. A community's context, strengths, and continued expressions of well-being need to guide inquiries, inform processes, and contextualize recommendations. In this paper, we present a conceptual framework developed to address the aforementioned concerns and inform community-led health and social research in the Arctic.

METHODS

The proposed framework is informed by our collective collaborations with circumpolar communities, and syntheses of individual and group research undertaken throughout the Circumpolar North. Our framework encourages investigation into the contextual factors that promote circumpolar communities to thrive.

RESULTS

Our framework centers on the visual imagery of an iceberg. There is a need to dive deeper than superficial indicators of health to examine individual, family, social, cultural, historical, linguistic, and environmental contexts that support communities in the Circumpolar North to thrive. A participatory community-based approach in conjunction with ongoing epidemiologic research is necessary in order to effectively support health and wellness. Conclusions: The iceberg framework is a way to conceptualize circumpolar health research and encourage investigators to both monitor epidemiologic indicators and also dive below the surface using participatory methodology to investigate contextual factors that support thriving communities.

Evolution as a result of resource flow in ecosystems: Ecological dynamics can drive evolution

To see how the flow of energy across ecosystems can derive evolution, I introduce a framework in which individuals interact with their peers and environment to accumulate resources, and use the resources to pay for their metabolic costs, grow and reproduce. I show that two conservation principles determine the system's equilibrium state: conservation of resources- a physical principle stating that in the equilibrium, resource production and consumption should balance, and payoff equality- an economic principle, stating that the payoffs of different types in equilibrium should equal. Besides the equilibrium state, the system shows non-equilibrium fluctuations derived by the exponential growth of the individuals in which the payoff equality principle does not hold. A simple gradient-ascend dynamical mean-field equation predicts the onset of non-equilibrium fluctuations. As an example, I study the evolution of cooperation in public goods games. In both mixed and structured populations, cooperation evolves naturally in resource-poor environments but not in resource-rich environments. Population viscosity facilitates cooperation in poor environments but can be detrimental to cooperation in rich environments. In addition, cooperators and defectors show different life-history strategies: Cooperators live shorter lives and reproduce more than defectors. Both population structure and, more significantly, population viscosity reduce lifespan and life history differences between cooperators and defectors.

Thousands of domestic and public supply wells face failure despite groundwater sustainability reform in California's Central Valley

Across the world, declining groundwater levels cause wells to run dry, increase water and food insecurity, and often acutely impact groundwater-dependent communities. Despite the ubiquity and severity of these impacts, groundwater research has primarily focused on economic policy instruments for sustainable management or the quantification of groundwater depletion, rather than assessing the impacts of management decisions. In particular, how definitions of groundwater sustainability shape the fate of resource users remains unexplored. Here, we examine one of the world's largest-scale environmental sustainability reforms, the California Sustainable Groundwater Management Act (SGMA), and estimate the impact of sustainability definitions proposed in groundwater sustainability plans (GSPs) on well failure. We show that locally-proposed sustainability criteria are consistent with business as usual groundwater level decline, and if reached, could impact over 9000 domestic wells and around 1000 public supply wells. These findings highlight the necessity of careful and critical evaluation of locally-developed sustainability definitions and their implementation to prevent detrimental impacts, such as threats to household and municipal water supply.

Does stakeholder participation improve environmental governance? Evidence from a meta-analysis of 305 case studies

Participation and collaboration of citizens and organized stakeholders in public decision-making is widely believed to improve environmental governance outputs. However, empirical evidence on the benefits of participatory governance is largely scattered across small-N case studies. To synthesize the available case-based evidence, we conducted a broad case-based meta-analysis across 22 Western democracies, including 305 individual cases of public environmental decision-making. We asked: How do 'more' participatory decision-making processes compare against 'less' participatory ones in fostering - or hindering - strong environmental governance outputs, (i.e. environmental provisions in plans, agreements or permits)? Which design features make a difference? What role does the decision-making context play? How do results change if we control for the intentions of the leading governmental agency? To capture the central design features of decision-making processes, we distinguish three dimensions of participation: the intensity of communication among participants and process organizers; the extent to which participants can shape decisions ("power delegation"); and the extent to which different stakeholder groups are represented. Our regression analysis yields robust evidence that these three design features of participation impact upon the environmental standard of governance outputs, even when controlling for the goals of governmental agencies. Power delegation is shown to be the most stable predictor of strong environmental outputs. However, communication intensity only predicts the conservation-related standard of outputs, but not the environmental health-related standard of outputs. Participants' environmental stance was another strong predictor, with considerable variation across different contexts. While our results remain broadly stable across a wide range of contexts, certain contextual conditions stood out in shaping the relation between participation and environmental outputs. Overall, our findings can inform the design of participatory processes that deliver governance outputs of a high environmental standard.

Setting conservation priorities in multi-actor systems

Nature conservation is underresourced, requiring managers to prioritize where, when, and how to spend limited funds. Prioritization methods identify the subset of actions that provide the most benefit to an actor's objective. However, spending decisions by conservation actors are often misaligned with their objectives. Although this misalignment is frequently attributed to poor choices by the actors, we argue that it can also be a byproduct of working alongside other organizations. Using strategic analyses of multi-actor systems in conservation, we show how interactions among multiple conservation actors can create misalignment between the spending and objectives of individual actors and why current uncoordinated prioritizations lead to fewer conservation objectives achieved for individual actors. We draw three conclusions from our results. First, that misalignment is an unsuitable metric for evaluating spending, because it may be necessary to achieve actors' objectives. Second, that current prioritization methods cannot identify optimal decisions (as they purport to do), because they do not incorporate other actors' decisions. Third, that practical steps can be taken to move actors in the direction of coordination and thereby better achieve their conservation objectives.

Communication, trust and leadership in co-managing biodiversity: A network analysis to understand social drivers shaping a common narrative

Environmental co-management has been advocated and applied in diverse contexts as an integrative and inclusive approach to make biodiversity conservation more effective and contextual. Co-management however requires the actors involved to overcome tacit boundaries and reconcile different viewpoints to reach a shared understanding on the environmental problem and envisioned solution(s). We depart from the assumption that a common narrative can serve as a base for a shared understanding and analyze what types of actor relations in co-management influence the emergence of a common narrative. Empirical data is collected using a mixed-method case study design. We apply the idea of narrative congruence, which relates to the similarity of narrations that actors tell, to investigate the effects of the types of relationships between two actors as well as specific leadership roles using an Exponential Random Graph Model. We find that frequent interaction between two actors and a trusted leader with many reciprocal trust ties to be important drivers to support the emergence of narrative congruence ties. Connecting leaders, i.e. actors in brokering positions, show a statistically significant negative correlation with narrative congruence ties. The results suggest that a common narrative tends to emerge in sub-groups around a highly trusted leader, in which actors talk frequently to each other. A brokering leader, however, seems to face strong difficulties of forming narrative congruence ties with others, although such brokers may play central roles in the co-design of common narratives to form the basis for motivating collective action in co-management. Lastly, we discuss the importance of common narratives and how leaders can better succeed in co-designing these in environmental co-management approaches.

Spatial effects of the agricultural ecosystem services based on environmental kuznets curve in Mengyin county, China

Worldwide most agroecosystems effort to increase production and yields and leads to damages of a series of non-provisioning ecosystem services (ESs). To fill in the knowledge gaps pertaining to the understanding of complex relationship between agricultural harvests and other ESs, therefore this study aims to estimate the existence of Environmental Kuznets Curve (EKC) for agricultural ESs by incorporating the spatial factors. Based on the test of the spatial autocorrelation of agricultural ESs, the estimation results of spatial model are compared with general regression to explain the spatial effect of agricultural ESs. The results show that (1) contrary to expectation, the curve of the nonlinear relationship between agricultural ESs and annual household income is an inverted U-shape, and not an upright U-shape; (2) compared to non-spatial model, the turning point of the inverted U-shaped curve for agricultural ESs under the direct effect would happen earlier and happen later under the indirect effect; (3) years of formal education, vegetation coverage of field margin and cultivated land area have significantly impact on local agricultural ESs, and local perennial crops has significantly impact on agricultural ESs of neighboring villages. Results of this study have a promising application prospect to promote sustainable development of agriculture.

Fostering collective action through participation in natural resource and environmental management: An integrative and interpretative narrative review using the IAD, NAS and SES frameworks

Solving humanity's social-environmental challenges calls for collective action by relevant actors. Hence, involving these actors in the policy process has been deemed both necessary and promising. But how and to what extent can participatory policy interventions (PIs) foster collective action for sustainable environmental and natural resource management? Lab and lab-in-the-field experiments on co-operation in the context of collective action challenges (i.e. social dilemmas) and case study research on participatory processes both offer insights into this question but have hitherto mainly remained unconnected. This article reviews insights from these two streams of literature in tandem, synthesising and analysing them using the institutional analysis and development (IAD) framework in combination with the network of action situations (NAS) framework and the social-ecological systems (SES) framework. We thus perform an integrative and interpretative narrative review to draw a richer and more nuanced picture of PIs: their potential impacts, their (institutional and behavioural) mechanisms and challenges, and caveats and recommendations for their design and implementation. Our review shows that PIs can indeed foster collective action by (a) helping the relevant actors craft suitable and legitimate institutional arrangements and (b) addressing and/or influencing actors' attributes of relevance to collective action, namely their individual and shared understandings, beliefs and preferences. To fulfil this potential, the organisers and sponsors of PIs must address and link to the broader context through soundly designed and implemented processes. Complementary follow-up, enforcement and conflict resolution mechanisms are necessary to nurture, reassure and sustain understandings, beliefs and preferences that undergird trust-building and collective action. The conceptual framework developed for the review can help researchers and practitioners further assess these insights, disentangle PIs' mechanisms and impacts, and integrate the research and practice of participatory governance and collective action.

Finally Throwing Those Wellies Away? Collaborating in Search of a Solution for Venice Flooding

Collaborative governance is often advocated as a way to address 'messy' problems that individual stakeholders cannot solve alone. However, whereas stakeholders' participation brings a broad range of response options to public decision-making, the complexities of the perspectives at stake may also lead to conflicts and stalemates. This is especially true in collaborative environmental governance, where conflict is common and stakeholders' interdependence in more than one arena tends to be frequent. Based on a longitudinal field study, we explore how to break stalemates in collaborative environmental governance when they occur, and move the collaboration towards a shared decision. The successful collaborative decision-making for the defence of Venice against floods represents our empirical setting. Our findings show that, in this context, the combined effect of three factors seems to be important to break stalemates and lead stakeholders towards a shared decision in collaborative environmental governance: stakeholders' reactivation, fear of marginalization and leaders acting as orchestrators.

Catalyzing success in community-based conservation

Efforts to devolve rights and engage Indigenous Peoples and local communities in conservation have increased the demand for evidence of the efficacy of community-based conservation (CBC) and insights into what enables its success. We examined the human well-being and environmental outcomes of a diverse set of 128 CBC projects. Over 80% of CBC projects had some positive human well-being or environmental outcomes, although just 32% achieved positive outcomes for both (i.e., combined success). We coded 57 total national-, community-, and project-level variables and controls from this set, performed random forest classification to identify the variables most important to combined success, and calculated accumulated local effects to describe their individual influence on the probability of achieving it. The best predictors of combined success were 17 variables suggestive of various recommendations and opportunities for conservation practitioners related to national contexts, community characteristics, and the implementation of various strategies and interventions informed by existing CBC frameworks. Specifically, CBC projects had higher probabilities of combined success when they occurred in national contexts supportive of local governance, confronted challenges to collective action, promoted economic diversification, and invested in various capacity-building efforts. Our results provide important insights into how to encourage greater success in CBC.

Leveraging collective action and environmental literacy to address complex sustainability challenges

Developing and enhancing societal capacity to understand, debate elements of, and take actionable steps toward a sustainable future at a scale beyond the individual are critical when addressing sustainability challenges such as climate change, resource scarcity, biodiversity loss, and zoonotic disease. Although mounting evidence exists for how to facilitate individual action to address sustainability challenges, there is less understanding of how to foster collective action in this realm. To support research and practice promoting collective action to address sustainability issues, we define the term "collective environmental literacy" by delineating four key potent aspects: scale, dynamic processes, shared resources, and synergy. Building on existing collective constructs and thought, we highlight areas where researchers, practitioners, and policymakers can support individuals and communities as they come together to identify, develop, and implement solutions to wicked problems. We close by discussing limitations of this work and future directions in studying collective environmental literacy.

Science for social licence to arrest an ecosystem-transforming invasion

The primary role for scientific information in addressing complex environmental problems, such as biological invasions, is generally assumed to be as a guide for management decisions. However, scientific information often plays a minor role in decision-making, with practitioners instead relying on professional experience and local knowledge. We explore alternative pathways by which scientific information could help reduce the spread and impacts of invasive species. Our study centred on attempts to understand the main motivations and constraints of three local governance bodies responsible for the management of invasive (wilding) conifer species in the southern South Island of New Zealand in achieving strategic and operational goals. We used a combination of workshop discussions, questionnaire responses and visits to field sites to elicit feedback from study participants. We applied a mixed inductive-deductive thematic analysis approach to derive themes from the feedback received. The three main themes identified were: (1) impacts of wilding conifers and goals for wilding conifer control, (2) barriers to achieving medium- and long-term goals, and (3) science needed to support wilding conifer control. Participants identified reversal and prevention of both instrumental (e.g. reduced water availability for agriculture) and intrinsic (e.g. loss of biodiversity and landscape values) impacts of wilding conifer invasions as primary motivators behind wilding conifer control. Barriers to achieving goals were overwhelmingly social, relating either to unwillingness of landowners to participate or poorly designed regulatory frameworks. Consequently, science needs related primarily to gaining social licence to remove wilding conifers from private land and for more appropriate regulations. Scientific information provided via spread and impacts forecasting models was viewed as a key source of scientific information in gaining social licence. International experience suggests that invasive species control programmes often face significant external social barriers. Thus, for many biological invasions, the primary role of science might be to achieve social licence and regulatory support for the long-term goals of invasive species control programmes and the management interventions required to achieve those goals.