Studying human–nature relationships through a network lens: A systematic review

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.

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.

A two-dimensional four-quadrant assessment method to explore the spatiotemporal coupling and coordination relationship of human activities and ecological environment

Human activities that involve diverse behaviors and feature a variety of participations and collaborations usually lead to varying and dynamic impacts on the ecological environment. Quantitative analysis of the dynamic changes and complex relationships between human activities and the ecological environment (eco-environment) can provide crucial insights for ecological protecting and balance maintaining. We proposed a two-dimensional four-quadrant assessment method based on the dynamic changes in Human Activity Index (HAI) - Environmental Ecological Condition Index (EECI) to analyze the dynamic trends and coupling coordination degree (CCD) between HAI and EECI. This approach was applied in an empirical study of Hainan Province. A comprehensive HAI at a resolution of 1 km × 1 km is established to measure human activities, while an EECI is developed to evaluate ecological environment quality. The eco-environment showed continuous improvement, with the HAI initially rising and then declining. Analysis of coupling coordination revealed a ratio of 6:1 between coordinated development regions and conflict regions, indicating a gradual improvement in overall coupling coordination. The interaction between the HAI and EECI is strengthening, though variations exist across different locations. Using the geodetector method, we identified Net Primary Productivity (NPP), Land use and land cover (LULC), and Particulate Matter (PM) as the primary factors influencing changes in coupling coordination between HAI and EECI. These factors indirectly affect the stability and carrying capacity of the ecological environment. This method facilitates a quantitative examination of the dynamic relationship between HAI and EECI in different regions, offering insights into ecosystem functionality, biodiversity maintenance, and the effect of HAI on the region.

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.

An ecosystem service approach to the study of vineyard landscapes in the context of climate change: a review

Vineyard landscapes significantly contribute to the economy, identity, culture, and biodiversity of many regions worldwide. Climate change, however, is increasingly threatening the resilience of vineyard landscapes and of their ecological conditions, undermining the provision of multiple ecosystem services. Previous research has often focused on climate change impacts, ecosystem conditions and ecosystem services without systematically reviewing how they have been studied in the literature on viticulture. Here, we systematically review the literature on vineyard landscapes to identify how ecosystem conditions and services have been investigated, and whether an integrative approach to investigate the effects of climate change was adopted. Our results indicate that there are still very few studies that explicitly address multiple ecosystem conditions and services together. Only 28 and 18% of the reviewed studies considered more than two ecosystem conditions or services, respectively. Moreover, while more than 97% of the relationships between ecosystem conditions and services studied were addressing provisioning and regulating services, only 3% examined cultural services. Finally, this review found that there is a lack of integrative studies that address simultaneously the relationships between ecosystem condition, ecosystem services and climate change (only 15 out of 112 studies). To overcome these gaps and to better understand the functioning of vineyard socio-ecological systems under climate change, multidisciplinary, integrative, and comprehensive approaches should be adopted by future studies. A holistic understanding of vineyard landscapes will indeed be crucial to support researchers and decision makers in developing sustainable adaptation strategies that enhance the ecological condition of vineyards and ensure the provision of multiple ecosystem services under future climate scenarios.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s11625-022-01223-x.

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.

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.

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.

Monitoring social–ecological networks for biodiversity and ecosystem services in human-dominated landscapes

The demand the human population is placing on the environment has triggered accelerated rates of biodiversity change and created trade-offs among the ecosystem services we depend upon. Decisions designed to reverse these trends require the best possible information obtained by monitoring ecological and social dimensions of change. Here, we conceptualize a network framework to monitor change in social–ecological systems. We contextualize our framework within Ostrom’s social–ecological system framework and use it to discuss the challenges of monitoring biodiversity and ecosystem services across spatial and temporal scales. We propose that spatially explicit multilayer and multiscale monitoring can help estimate the range of variability seen in social–ecological systems with varying levels of human modification across the landscape. We illustrate our framework using a conceptual case study on the ecosystem service of maple syrup production. We argue for the use of analytical tools capable of integrating qualitative and quantitative knowledge of social–ecological systems to provide a causal understanding of change across a network. Altogether, our conceptual framework provides a foundation for establishing monitoring systems. Operationalizing our framework will allow for the detection of ecosystem service change and assessment of its drivers across several scales, informing the long-term sustainability of biodiversity and ecosystem services.