Social-ecological network analysis for sustainability sciences: a systematic review and innovative research agenda for the future

A theoretical rethinking of ecosystem services from the perspective of social-ecological system

Ecosystem service (ES) research has grown rapidly, but emergent concepts such as disservices, supply-demand, relationships, and flows remain fragmented. An increasing consensus emphasizes that ecosystems cannot deliver services without human inputs, positioning ES as coproducts of coupled social-ecological systems (SES). This necessitates a theoretical rethinking of ES concepts from an SES perspective to advance comprehensive ES science. Through the SES lens, ES quantity and value are redefined as interactions between ecosystem supply and human demand. ES relationships are clarified by distinguishing inherent bundle characteristics from SES-level equilibria, which underpin cross-system flows. The framework integrates these advances by grounding ES in human-ecosystem interdependence, linking supply-demand dynamics to ES realization, resolving ambiguities in relationships through equilibrium analysis, and framing flows as outcomes of SES equilibria. By unifying these concepts, the framework addresses current inconsistencies and charts future research priorities: optimizing supply-demand balance, analyzing SES equilibria mechanisms, and modeling cross-system flow pathways.

Rule-mediated connectivity in social-ecological-technological systems: A comparative network analysis of reservoir operation rules in Coyote Valley Dam (United States) and Ameghino Dam (Argentina)

In the management of reservoirs, different forms of infrastructure (such as dams, hydropower units, information) are functionally interdependent and often managed by different types of actors to form a social-ecological-technological system. Such interdependence also occurs because institutions (understood as rules that guide and constrain actor behavior) exist to indicate how infrastructures should be managed. We apply institutional analysis and social network analysis to identify how functionally interdependent infrastructures and actors are connected by formal rules created to manage reservoir operations in Argentina (Ameghino Dam, Chubut) and the United States (Coyote Valley Dam, California). Using Exponential Random Graph Models and motif analysis we develop and test hypotheses about which types of patterns of rule-mediated interdependence are more likely to occur in the management of reservoir operations as well as how contextual features, such as the socio-political environment and the types of actors involved, influence rule-mediated interdependence in social-ecological-technological systems. We find that the type of actors involved and the socio-political context in which rules are designed shape the patterns of rule-mediated interdependencies. These findings shed light on and call for more attention to the role that formal rules play in shaping infrastructure management across socio-political contexts.

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.

Agreements for conserving migratory shorebirds in the Asia-Pacific are better fit for addressing habitat loss than hunting

A full-life cycle approach is a tenet of migratory species conservation, yet the degree to which this is achieved remains largely unassessed. This knowledge gap can be addressed using the concept of social-ecological fit, understood as the match between governance and ecological dimensions. Here, we assess the social-ecological fit for conserving migratory shorebirds in the Asia-Pacific, focusing on habitat loss and hunting. We identify the governance architectures for addressing these two threats and then assess the coordinating capacity of each architecture, measure institutional coverage for each species across their range, and determine the degree of institutional connectivity along their migratory network. We find that social-ecological fit is higher for the governance of habitat designation than for hunting management, with implications for governance practice. Analyses of social-ecological fit thus provide critical insights on the potential effectiveness of governance and therefore are a useful first step for migratory species conservation.

Evolution of system connectivity to support food production in the Indus Basin in Pakistan

Sustainability challenges related to food production arise from multiple nature-society interactions occurring over long time periods. Traditional methods of quantitative analysis do not represent long-term changes in the networks of system components, including institutions and knowledge that affect system behavior. Here, we develop an approach to study system structure and evolution by combining a qualitative framework that represents sustainability-relevant human, technological, and environmental components, and their interactions, mediated by knowledge and institutions, with network modeling that enables quantitative metrics. We use this approach to examine the water and food system in the Punjab province of the Indus River Basin in Pakistan, exploring how food production has been sustained, despite high population growth, periodic floods, and frequent political and economic disruptions. Using network models of five periods spanning 75 y (1947 to 2022), we examine how quantitative metrics of network structure relate to observed sustainability-relevant outcomes and how potential interventions in the system affect these quantitative metrics. We find that the persistent centrality of some and evolving centrality of other key nodes, coupled with the increasing number and length of pathways connecting them, are associated with sustaining food production in the system over time. Our assessment of potential interventions shows that regulating groundwater pumping and phasing out fossil fuels alters network pathways, and helps identify potential vulnerabilities for future food production.

The impact of cross-regional social and ecological interactions on ecosystem service synergies

Increasing socioecological systems (SESs) sustainability requires establishing a reasonable cross-regional social and ecological interaction. In this study, we examine how cross-regional ecological and social interactions affect synergistic effects. Using InVEST and correlation analysis with data from 2010 through 2020, we assessed ESs (i.e., water retention-WR, nutrient retention-NR, and carbon storage-CS) in the Beijing-Tianjin-Hebei (BTH) region. A small watershed, a river network, and settlement development capacity are used to delineate ecological and social interactions units. Based on a Bayesian network model that considers population, economy, and spatial agglomeration patterns between social units, we assessed the potential for achieving a synergistic improvement of ESs and the driving forces behind them. The results show that ESs in the BTH region compete, only a small percentage (6.38%) shows synergetic improvement across CS, WR, and NR. It is beneficial for upstream watersheds to retain water and nutrients, but to maintain carbon storage they may sacrifice water retention. Upstream areas with less development and higher vegetation density have better ecosystem integrity of up- and down-stream watersheds, and can be enhanced with minimal human impact, as social interactions and settlement spatial structures influence ES synergies. There is a higher risk for ecological issues in downstream areas, but greater awareness and collaboration can lead to better ES synergies.

A network approach to zooarchaeological datasets and human-centered ecosystems in southwestern Florida

Zooarchaeological datasets are often large, complex, and difficult to visualize and communicate. Many visual aids and summaries often limit the patterns that can be identified and mask interpretations of relationships between contexts, species, and environmental information. The most commonly used of these often include bar charts, pie charts, and other such graphs that aid in categorizing data and highlighting the differences or similarities between categories. While such simplification is often necessary for effective communication, it can also obscure the full range of complexity of zooarchaeological datasets and the human-environment dynamics they reflect. In this paper, we demonstrate the utility of formal network graphs to capturing the complexity of zooarchaeological datasets and to effectively highlighting the kinds of relationships between contexts, time, and faunal assemblages in which zooarchaeologists are primarily interested. Using a case study from southwestern Florida (USA), we argue that network graphs provide a quick solution to visualizing the structure of zooarchaeological datasets and serve as a useful aid in interpreting patterns that represent fundamental reflections of human-centered ecosystems.

Exploring spatial-temporal driving factors for changes in multiple ecosystem services and their relationships in West Liao River Basin, China

Ecosystem services (ES) are the direct and indirect benefits people obtain from ecosystems, serving as a bridge linking ecological systems and social-economic systems. The quantitative assessment of the dynamic changes in ES and their relationships and the identification of the driving forces behind them have recently become a research hotspot. However, several research gaps remain challenging, such as the lack of an analytical framework for selecting relevant driving factors and the need for an innovative approach that integrally estimates the impacts of driving factors on the changes in ES and the relationships between ES. In this study, we modify the social-ecological system framework as the analytical basis and suggest a series of principles for selecting relevant driving factors, we then adopt the path analysis model to simultaneously and consistently quantify the contributions of driving factors to ES changes and their relationships. Using the West Liao River Basin (WLRB) as a case study, the results show the spatial-temporal variations in three ES and six driving factors from 2000 to 2020, divided into four periods. The estimation of path analysis model confirm two hypotheses that different driving factors exerted differential effects on changes in multiple ES in four periods for the whole WLRB and in three sub-basins for the period 2015-2020. In addition, the path analysis exhibits the quantitative relationships between food production, water yield, and soil conservation, which vary temporally and spatially in different periods and different sub-basins. The identification of driving factors is helpful for supporting policy-making to construct a coupled self-adjusted social-ecological for the benefit of the public.

Including animals in sociology

How do we include animals in sociology? Although sociology's initial avoidance of the nonhuman world may have been necessary to the field's development, recent scholarship - within mainstream sociology, environmental sociology and animal-centred research - is helping expand the field's horizons. With a focus on variety, this article reviews four key paths that researchers are taking to include animals in their research: (1) studying interspecies relations, (2) theorizing animals as an oppressed group, (3) investigating the social and ecological impacts of animal agriculture and (4) analysing social-ecological networks. This review shows how applying - and innovating - existing social theories and research methods allows researchers to include animals in their analyses and will be relevant to a variety of scholars, including mainstream and environmental sociologists, animal-focused researchers and social network analysts, to name a few.

Unraveling the link: exploring the effects of environmental change on the cardiovascular system

Climate change has a particularly detrimental effect on the cardiovascular system, which is highly vulnerable to harmful impacts. The accumulation of particulate matter (PM) and greenhouse gasses in the environment negatively impacts the cardiovascular system through several mechanisms. The burden of climate change-related diseases falls disproportionately on vulnerable populations, including the elderly, the poor, and those with pre-existing health conditions. A key component of addressing the complex interplay between climate change and cardiovascular diseases is acknowledging health disparities among vulnerable populations resulting from climate change, familiarizing themselves with strategies for adapting to changing conditions, educating patients about climate-related cardiovascular risks, and advocating for policies that promote cleaner environments and sustainable practices.

Trees as brokers in social networks: Cascades of rights and benefits from a Cultural Keystone Species

Indigenous trees play key roles in West African landscapes, such as the néré tree (Parkia biglobosa (Jacq.) R.Br. ex G.Don). We applied social-ecological network analysis to understand the social-ecological interactions around néré. We documented the benefits néré provides and the multiple social interactions it creates amongst a large range of actors. The flows of rights over the trees and benefits from them formed two hierarchical networks, or cascades, with different actors at the top. The two forms of power revealed by the two cascades of rights and benefits suggest possible powers and counter-powers across gender, ethnicity, and age. We documented how the tree catalyses social interactions across diverse groups to sustain vital social connections, and co-constitute places, culture, and relationships. We argue that a paradigm shift is urgently needed to leverage the remarkable untapped potential of indigenous trees and Cultural Keystone Species in current global restoration and climate change agendas.

Socio-technical networks of infrastructure management: Network concepts and motifs for studying digitalization, decentralization, and integrated management

Networked infrastructure systems - including energy, transportation, water, and wastewater systems - provide essential services to society. Globally, these services are undergoing major transformative processes such as digitalization, decentralization, or integrated management. Such processes not only depend on technical changes in infrastructure systems but also include important social and socio-technical dimensions. In this article, we propose a socio-technical network perspective to study the ensemble of social actors and technical elements involved in an infrastructure system, and their complex relations. We conceptualize structurally explicit socio-technical networks of networked infrastructure systems based on methodological considerations from network analysis and draw on concepts from socio-technical system theories and social-ecological network studies. Based on these considerations, we suggest analytical methods to study basic network concepts such as density, reciprocity, and centrality in a socio-technical network. We illustrate socio-technical motifs, i.e., meaningful sub-structures in socio-technical networks of infrastructure management. Drawing on these, we describe how infrastructure systems can be analyzed in terms of digitalization, decentralization, and integrated management from a socio-technical network perspective. Using the example of urban wastewater systems, we illustrate an empirical application of our approach. The results of an empirical case study in Switzerland demonstrate the potential of socio-technical networks to promote a deeper understanding of complex socio-technical relations in networked infrastructure systems. We contend that such a deeper understanding could improve management practices of infrastructure systems and is becoming even more important for enabling future data-driven, decentralized, and more integrated infrastructure management.

Untangling social-ecological interactions: A methods portfolio approach to tackling contemporary sustainability challenges in fisheries

Meeting the objectives of sustainable fisheries management requires attention to the complex interactions between humans, institutions and ecosystems that give rise to fishery outcomes. Traditional approaches to studying fisheries often do not fully capture, nor focus on these complex interactions between people and ecosystems. Despite advances in the scope and scale of interactions encompassed by more holistic methods, for example ecosystem-based fisheries management approaches, no single method can adequately capture the complexity of human-nature interactions. Approaches that combine quantitative and qualitative analytical approaches are necessary to generate a deeper understanding of these interactions and illuminate pathways to address fisheries sustainability challenges. However, combining methods is inherently challenging and requires understanding multiple methods from different, often disciplinarily distinct origins, demanding reflexivity of the researchers involved. Social-ecological systems' research has a history of utilising combinations of methods across the social and ecological realms to account for spatial and temporal dynamics, uncertainty and feedbacks that are key components of fisheries. We describe several categories of analytical methods (statistical modelling, network analysis, dynamic modelling, qualitative analysis and controlled behavioural experiments) and highlight their applications in fisheries research, strengths and limitations, data needs and overall objectives. We then discuss important considerations of a methods portfolio development process, including reflexivity, epistemological and ontological concerns and illustrate these considerations via three case studies. We show that, by expanding their methods portfolios, researchers will be better equipped to study the complex interactions shaping fisheries and contribute to solutions for sustainable fisheries management.

How deep to dig: effects of web-scraping search depth on hyperlink network analysis of environmental stewardship organizations

Social network analysis (SNA) tools and concepts are essential for addressing many environmental management and sustainability issues. One method to gather SNA data is to scrape them from environmental organizations' websites. Web-based research can provide important opportunities to understand environmental governance and policy networks while potentially reducing costs and time when compared to traditional survey and interview methods. A key parameter is 'search depth,' i.e., how many connected pages within a website to search for information. Existing research uses a variety of depths and no best practices exist, undermining research quality and case study comparability. We therefore analyze how search depth affects SNA data collection among environmental organizations, if results vary when organizations have different objectives, and how search depth affects social network structure. We find that scraping to a depth of three captures the majority of relevant network data regardless of an organization's focus. Stakeholder identification (i.e., who is in the network) may require less scraping, but this might under-represent network structure (i.e., who is connected). We also discuss how scraping web-pages of local programs of larger organizations may lead to uncertain results and how our work can combine with mixed methods approaches.

Big data, computational social science, and other recent innovations in social network analysis

While sociologists have studied social networks for about one hundred years, recent developments in data, technology, and methods of analysis provide opportunities for social network analysis (SNA) to play a prominent role in the new research world of big data and computational social science (CSS). In our review, we focus on four broad topics: (1) Collecting Social Network Data from the Web, (2) Non-traditional and Bipartite/Multi-mode Networks, including Discourse and Semantic Networks, and Social-Ecological Networks, (3) Recent Developments in Statistical Inference for Networks, and (4) Ethics in Computational Network Research.

Towards principles and policy levers for advancing living shorelines

Living shorelines are often better alternatives to stabilize shorelines and reduce dangerous erosion compared to traditional hard armoring practices such as bulkheads and seawalls. Increasing the use of living shorelines will require policy innovation and new approaches to shoreline management, however. Informed by a comparative legal analysis, this article identifies "policy levers" through four categories that demonstrate critical aspects of the human dimension in the estuarine management context that, to greater and lesser extents, promote or inhibit the implementation of living shorelines. Specifically, these categories include: erosion and flood control; neighboring stabilization structures; rebuild policies and sea-level rise projections; and jurisdictional boundaries. The article concludes that the policy levers that are the most optimal baseline choices to advance living shorelines include prohibiting shoreline stabilization in areas where erosion is controlled and bank loss mitigated; eliminating hard armoring as the default erosion and flood control stabilization preference; prohibiting "gap-filling" policies that connect or "align" existing, legal seawalls or armoring; requiring living shorelines in areas where a minimum percentage (10-25%) of the tidal shoreline is already armored; and requiring the replacement of hard armoring with living shorelines when repair is required or certain sea-level rise projections are met. Because modeling frameworks incorporating policy simulations would allow coastal scientists and managers to better visualize how and to what extent policy choices advance or inhibit the adoption of living shorelines, identifying and understanding such policy levers is a critical first step to utilize modeling frameworks to simulate and evaluate how certain legal regimes either promote or inhibit the use of living shorelines for shoreline stabilization in estuarine environments.

Conceptualizing ecosystem services using social-ecological networks

Social-ecological networks (SENs) represent the complex relationships between ecological and social systems and are a useful tool for analyzing and managing ecosystem services. However, mainstreaming the application of SENs in ecosystem service research has been hindered by a lack of clarity about how to match research questions to ecosystem service conceptualizations in SEN (i.e., as nodes, links, attributes, or emergent properties). Building from different disciplines, we propose a typology to represent ecosystem service in SENs and identify opportunities and challenges of using SENs in ecosystem service research. Our typology provides guidance for this growing field to improve research design and increase the breadth of questions that can be addressed with SEN to understand human-nature interdependencies in a changing world.

Two classes of functional connectivity in dynamical processes in networks

The relationship between network structure and dynamics is one of the most extensively investigated problems in the theory of complex systems of recent years. Understanding this relationship is of relevance to a range of disciplines-from neuroscience to geomorphology. A major strategy of investigating this relationship is the quantitative comparison of a representation of network architecture (structural connectivity, SC) with a (network) representation of the dynamics (functional connectivity, FC). Here, we show that one can distinguish two classes of functional connectivity-one based on simultaneous activity (co-activity) of nodes, the other based on sequential activity of nodes. We delineate these two classes in different categories of dynamical processes-excitations, regular and chaotic oscillators-and provide examples for SC/FC correlations of both classes in each of these models. We expand the theoretical view of the SC/FC relationships, with conceptual instances of the SC and the two classes of FC for various application scenarios in geomorphology, ecology, systems biology, neuroscience and socio-ecological systems. Seeing the organisation of dynamical processes in a network either as governed by co-activity or by sequential activity allows us to bring some order in the myriad of observations relating structure and function of complex networks.

Cloud-Based Environmental Monitoring to Streamline Remote Sensing Analysis for Biologists

Timely, policy-relevant monitoring data are essential for evaluating the effectiveness of environmental policies and conservation measures. Satellite and aerial imagery can fill data gaps at low cost but are often underused for ongoing environmental monitoring. Barriers include a lack of expertise or computational resources and the lag time between image acquisition and information delivery. Online image repositories and cloud computing platforms are increasingly used by researchers because they offer near-real-time, centralized access to local-to-global-scale data sets and analytics with minimal in-house computational requirements. We aim to broaden knowledge of these open access resources for biologists whose work routinely informs policy and management. To illustrate potential applications of cloud-based environmental monitoring (CBEM), we developed an adaptable approach to detect changes in natural vegetative cover in an agricultural watershed. The steps we describe can be applied to identify opportunities and caveats for applying CBEM in a wide variety of monitoring programs.

Ready When the Big One Comes? Natural Disasters and Mass Support for Preparedness Investment

Societies can address collective threats such as natural disasters or pandemics by investing in preparedness (ex ante) or by offering compensation after an adverse event has occurred (ex post). What explains which of these options voters prefer? We study how personal exposure and policy knowledge affect mass support for long-term disaster preparedness, a type of long-term investment meant to cope with an increasingly destructive and frequent class of events. We first assess whether support for preparedness reflects personal affectedness and find that neither subjective nor geo-coded measures of disaster exposure predict policy preferences. Second, we explore whether this finding can be explained by misperceptions about the features of the available policy options. We find that revealing the damage reductions associated with preparedness systematically reduces opposition to long-term investment. These results suggest that opposition to preparing for collective threats may depend more on informational deficiencies than on personal experience with realized risks.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s11109-021-09738-2.

Marine conservation: towards a multi-layered network approach

Valuing, managing and conserving marine biodiversity and a full range of ecosystem services is at the forefront of research and policy agendas. However, biodiversity is being lost at up to a thousand times the average background rate. Traditional disciplinary and siloed conservation approaches are not able to tackle this massive loss of biodiversity because they generally ignore or overlook the interactive and dynamic nature of ecosystems processes, limiting their predictability. To conserve marine biodiversity, we must assess the interactions and impacts among biodiversity and ecosystem services (BD-ES). The scaling up in complexity from single species to entire communities is necessary, albeit challenging, for a deeper understanding of how ecosystem services relate to biodiversity and the roles species have in ecosystem service provision. These interactions are challenging to map, let alone fully assess, but network and system-based approaches provide a powerful way to progress beyond those limitations. Here, we introduce a conceptual multi-layered network approach to understanding how ecosystem services supported by biodiversity drive the total service provision, how different stressors impact BD-ES and where conservation efforts should be placed to optimize the delivery of ecosystem services and protection of biodiversity. This article is part of the theme issue 'Integrative research perspectives on marine conservation'.

Land-use intensity alters networks between biodiversity, ecosystem functions, and services

Land-use intensification can increase provisioning ecosystem services, such as food and timber production, but it also drives changes in ecosystem functioning and biodiversity loss, which may ultimately compromise human wellbeing. To understand how changes in land-use intensity affect the relationships between biodiversity, ecosystem functions, and services, we built networks from correlations between the species richness of 16 trophic groups, 10 ecosystem functions, and 15 ecosystem services. We evaluated how the properties of these networks varied across land-use intensity gradients for 150 forests and 150 grasslands. Land-use intensity significantly affected network structure in both habitats. Changes in connectance were larger in forests, while changes in modularity and evenness were more evident in grasslands. Our results show that increasing land-use intensity leads to more homogeneous networks with less integration within modules in both habitats, driven by the belowground compartment in grasslands, while forest responses to land management were more complex. Land-use intensity strongly altered hub identity and module composition in both habitats, showing that the positive correlations of provisioning services with biodiversity and ecosystem functions found at low land-use intensity levels, decline at higher intensity levels. Our approach provides a comprehensive view of the relationships between multiple components of biodiversity, ecosystem functions, and ecosystem services and how they respond to land use. This can be used to identify overall changes in the ecosystem, to derive mechanistic hypotheses, and it can be readily applied to further global change drivers.

Keystone actors do not act alone: A business ecosystem perspective on sustainability in the global clothing industry

Global industries are typically dominated by a few disproportionately large and influential transnational corporations, or keystone actors. While concentration of economic production is not a new phenomenon, in an increasingly interconnected and globalized world, the scale of the impacts of keystone actors on diverse social-ecological systems continues to grow. In this article, we investigate how keystone actors in the global clothing industry engage in collaboration with a variety of other organizations to address nine interrelated biophysical and socioeconomic sustainability challenges. We expand on previous theoretical and empirical research by focusing on the larger business ecosystem in which keystone actors are embedded, and use network analysis to assess the contributions of different actor types to the architecture of the ecosystem. This systemic approach to the study of keystone actors and sustainability challenges highlights an important source of influence largely not addressed in previous research: the presence of organizations that occupy strategic positions around keystone actors. Such knowledge can help identify governance strategies for advancing industry-wide transformation towards sustainability.

Key considerations and challenges in the application of social-network research for environmental decision making

Attempts to better understand the social context in which conservation and environmental decisions are made has led to increased interest in human social networks. To improve the use of social-network analysis in conservation, we reviewed recent studies in the literature in which such methods were applied. In our review, we looked for problems in research design and analysis that limit the utility of network analysis. Nineteen of 55 articles published from January 2016 to June 2019 exhibited at least 1 of the following problems: application of analytical methods inadequate or sensitive to incomplete network data; application of statistical approaches that ignore dependency in the network; or lack of connection between the theoretical base, research question, and choice of analytical techniques. By drawing attention to these specific areas of concern and highlighting research frontiers and challenges, including causality, network dynamics, and new approaches, we responded to calls for increasing the rigorous application of social science in conservation.